THREE-YEAR BACHELOR STUDY AT FACULTY OF · PDF fileFACULTY OF ELECTRICAL ENGINEERING...

UNIVERSITY IN SARAJEVO

FACULTY OF ELECTRICAL ENGINEERING

SARAJEVO

THREE-YEAR BACHELOR STUDY

AT

FACULTY OF ELECTRICAL ENGINEERING

(Programme: Telecommunication)

Programme: ACE, PE, CI, TC

Year First year

Semester First semester

Courses

N Title Code ECTS H/S P L T

1. Mathematics for Engineers 1 ETF IM1 I-1175 7,0 75 49 0 26

2. Fundamentals of Electrical Engineering ETF OE I-1180 7,0 80 48 4 28

3. Physics for Engineers 1 ETF IF1 I-1160 5,0 60 39 0 21

4. Linear Algebra and Geometry ETF LAG I-1160 5,0 60 39 0 21

5. Fundamentals of Computing ETF OR I-1170 6,0 70 44 0 26

TOTAL: 30 345 219 4 122

Programme: ACE, PE, CI, TC

Year First year

Semester Second semester

Courses


1. Mathematics for Engineers 2 ETF IM2 I-1280 7,0 80 52 0 28

2. Programming Techniques ETF TP I-1270 6,0 70 44 26 0

3. Electrical Circuits 1 (ACE, PE, TC) ETF EK1 I-1275 7,0 75 45 10 20

4. Physics for Engineers 2 (ACE, PE, TC) ETF IF2 I-1260 5,0 60 39 0 21

5. Electronic elements and circuits (ACE, PE, TC) ETF EES I-1260 5,0 60 39 0 21

TOTAL: 30 345 219 36 90

Legend: H/S - Hours per semester

P - Lectures per semester

L - Laboratory exercises

T - Tutorials

Programme: Telecommunication

Year Second year

Semester Third semester

Courses


1. Electromagnetic Field Theory ETF TKO TEP I-2365 6,0 65 42 0 23

2. Electrical Circuits 2 ETF TKO EK2 I-2365 6,0 75 49 6 20

3. Electronics TK 1 ETF TKO E1 I-2350 4,0 50 30 20 0

4. Information Theory and Source Coding ETF TKO TIK I-2355 5,0 60 35 6 14

5. Signal Theory ETF TKO TS I-2365 6,0 65 42 9 14

6. Elective course 3.1 3,0 50

TOTAL: 30 365

Elective course 3.1


1. Operating Systems ETF TKI OS I-2350 5,0 50 38 22 0

2. Engineering Economics ETF TKI IE I-2350 5,0 60 40 0 20

3. Fundamentals of Electrical Power Systems ETF TKI OES I-2350 6,0 70 42 14 14




T - Tutorials


Year Second year

Semester Fourth semester

Courses


1. Statistical Signal Theory ETF TKO STS I-2470 6,0 70 42 7 21

2. Electronics TK 2 ETF TKO E2 I-2450 5,0 50 30 20 0

3. Fundamentals of Optoelectronics ETF TKO OO I-2450 5,0 60 42 11 7

4. Antennas and Wave Propagation ETF TKO APT I-2460 5,0 60 30 20 10

5. Telecommunication Techniques 1 ETF TKO TT1 I-2480 6,0 70 52 14 14


TOTAL: 30 360

Elective course 4.1


1. Object Oriented Analysis and Design ETF TKI OOAD I-2440 5,0 60 38 22 0

2. Fundamentals of Database Systems ETF TKI OBP I-2440 5,0 60 40 20 0

3. Linear Automatic Control Systems ETF TKI OSAU I-2440 5,0 60 36 10 14




T - Tutorials


Year Third year

Semester Fifth semester

Predmeti


1. Telecommunication Techniques 2 ETF TKO TT2 I-3570 6,0 70 48 14 8

2. Radio Techniques / RF Design ETF TKO R I-3550 4,0 50 30 12 8

3. Mobile Communication ETF TK MK I-3560 5,0 60 36 12 12

4. Channel Coding ETF TKO KK I-3560 5,0 60 39 14 7



TOTAL: 30 340

Elective course 5.1, Elective course 5.2


1. Measurements in Telecommunications ETF TKI MUT I-3555 5,0 55 35 12 8

2. Software Engineering ETF TKI SI I-3555 5,0 55 35 20 0

3. Next Generation Networks and Services ETF TKI NGM I-3555 5,0 55 35 6 14

4. Teletraffic Theory ETF TKI TP I-3555 5,0 55 35 10 10

5. Elective from other faculty 5,0 50




T - Tutorials


Year Third year

Semester Sixth semester

Courses


1. Microwave Communication Systems ETF TKO MKS I-3650 4,0 50 29 14 7

2. Switching Systems ETF TKO KS I-3660 5,0 60 40 7 13

3. Communication Protocols and Networks ETF TKO KPM I-3660 5,0 60 40 13 17


5. Final Thesis ETF TKO ZR I-36130 12,0 130

TOTAL: 30 350

Elective course 6.1


1. Fundamentals of Signaling Protocols ETF TKI OSP I-3650 4,0 45 31 7 7

2. Electrical Engineering Materials ETF TKI ETM I-3650 5,0 60 40 8 12

3. Organization and Network Control ETF TKI OUM I-3650 4,0 50 29 7 14

4. Television Technologies ETF TKI TT I-3650 4,0 50 29 14 7

5. Elective from other faculty 5,0 50




T - Tutorials

Module title Mathematics for Engineers 1

Module code ETF IM1 I-1175

Programme ETF-B

Module coordinator Dr Huse Fatkić, Associate Professor

Teaching staff

Dr Huse Fatkić, Associate Professor

Alvin Abdagić, MoE, Teachnig Assistant

Mehmed Brkić, MoE, Teaching Assistant

Year of study 1

Semester 1

Module type Mandatory

ECTS 7

Lectures 49

Laboratory

exercises 0

Tutorials 26

Workload –

Independent Study 100

Module outcomes

At the end of the module students should:

develop skill of deductive reasoning;

know and comprehend the concepts of limits and continuity; be

familiar of how to synthesize intuitive concepts into precise

mathematical formulation;

apply standard tests and criteria for convergence of both sequences

and series, as well as methods for evaluating limits of sequences

and single variable real functions;

comprehend the role of linearization in mathematical modeling of

actual physical and other problems;

know and comprehend the concepts of derivative, primitive

function (anti-derivative), indefinite and definite (Riemann)

integral and their basic properties;

apply the basic techniques of differential and integral calculus of

single variable real functions;

further develop the notion of convergence through examination of

sequences and series of functions.

Module content

1.Numbers and general concepts about numeric functions: Algebraic operations involving real numbers. Decimal representation of real

numbers. Triangle inequality. Bounded and unbounded intervals. General

concepts on real-valued functions of a single real variable. Bounded,

monotone, symmetric (even and odd), periodic functions. Functions

composition, identity maps, injective functions, inverses. Elementary

functions:

power function (with real exponent), exponential and logarithmic functions,

hyperbolic and their inverse functions, trigonometric and their inverse

functions.

2. Single variable real functions I: Limits and asymptotes: Neighborhood and infinity on real axis. Limit (finite

and infinite) of a function at a point and at infinity.

One-sided limits: from the left and from the right. Inequalities for limits of

functions. Algebraic operations with limits. Indefinite expressions. Limit

existence of a monotone function. Limit inferior and limit superior of a

monotone function. Techniques for evaluating a limit. Limits for common

functions (power, exponential, logarithmic and trigonometric functions).

Hierarchy of infinity: logarithms, power functions, exponential functions.

Application of asymptotic expansions for evaluations of limits. Asymptotes:

horizontal, vertical and oblique (slant).3. Single variable real functions II:

Mean-value theorem and Bolzano’s theorem for continuous functions on an

interval. Definition of continuous functions on an interval. Continuity of

inverse function to a continuous monotone function on an interval.

Continuity of elementary functions and algebraic combinations of

continuous functions. Point of absolute maximum and minimum of a

function. Weierstrass theorem about minimum and maximum of continuous

functions on a segment.

4. Complex numbers Algebraic form: real and imaginary part, modulus, conjugated complex

numbers and their properties. Triangle inequality. Argument. Trigonometric

form. De Moivre’s theorem about product, quotient and power of complex

numbers, nth

root of a complex number.

5. Infinite sequences and series of numbers and functions: Concept of an (infinite) series, n

th partial sum. Convergence and divergence,

regular and alternating series. Geometric series. Necessary condition for

convergence of series; harmonic series. Series with non-negative terms,

(limit) comparison test, (limit) ratio test, (limit) root test. General harmonic

series. Absolute and conditional convergence of infinite series. Absolute

convergence is sufficient for ordinary convergence. Leibniz criterion for

alternating series. Complex sequences and series. Infinite sequences and

series of functions: uniform convergence, Cauchy and Weierstrass’ criterion

of uniform convergence; power series with complex terms, Taylor and

Laurent series.

6. Differential calculus of single variable real functions I: Differentiability and properties of differentiable functions. Derivate of a

function at a point. Left and right derivatives. Tangent line to the graph of a

function. Differentiation rules of elementary functions. Derivatives of

compositions and inverses. The connection between continuity and

differentiability of functions at a point. Theorems of Fermat, Rolle's

theorem and Lagrange's theorem (mean-value). Properties of monotone

differentiable function at an interval determined with the sign of derivative.

Function with zero derivative at an interval.

7. Differential calculus of single variable real functions II: Derivatives of higher order, finding extrema and linear approximations.

Concavity and convexity. Flexion: definition and application of second

derivative. Application of first and second derivatives to examination of a

graph of a function. L’Hospital rule. Taylor series. Remainder of an

approximation of second order in Peano’s and Lagrange’s form.

8. Integral calculus of single variable real functions I: (Definite/Riemann) integral, primitive functions and fundamental theorems.

Riemann integral single variable real functions defined of closed intervals.

Basic properties of definite integrals. Mean-value theorem. Primitive and

integral functions defined on an interval. Fundamental theorems of integral

calculus. Definition and basic properties of indefinite integral.

8. Integral calculus of single variable real functions II: (Methods of integration and improper integrals). Methods for evaluation of

definite and indefinite integrals. Integration by substitution and integration

by parts. Techniques for finding integrals of some classes of functions

(rational, trigonometric, irrational). Definition of improper integral.

Integrability criterion: (limit) comparison criterion.

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Literature

Recommended

1. H. Fatkić: Inženjerska matematika 1, Slajdovi i bilješke, Sarajevo, 2013,

http://www.etf.unsa.ba/.

2. H. Fatkić: Inženjerska matematika 1, Štamparija Fojnica d.d., Fojnica-

Sarajevo, 2012. (University book)

3. M. Merkle: Matematička analiza, Akademska misao, Beograd, 2001.

4. H. Fatkić, B. Mesihović: Zbirka riješenih zadataka iz matematike I, ETF,

Sarajevo, 1973.; Corons, Sarajevo, 2002.

5. M. P. Ušćumlić, P. M. Miličić: Zbirka zadataka iz više matematike I i II,

Građevinska knjiga, Beograd, 2004.

Additional

1. D. Adnađević, Z. Kadelburg, Matematička analiza I, Nauka, Beograd,

1995.

2. T. M. Apostol: Calculus I, Blaisdell Publ. Co., New York, 1961.

3. T. M. Apostol: Mathematical Analysis (2nd ed.), Addison – Wesley Publ.

Co., London, 1974.

4. A. Croft, R. Davison, M. Hargreaves: Engineering Mathematics,

Addison- Wesley Publishing Company Inc. Harlow,1996.

5. V. Dragičević, H. Fatkić: Određeni i višestruki integrali,Svjetlost, Zavod

za udžbenike, Sarajevo, 1979; 2. izd. 1987. (Textbook)

6. D. Jukić, R. Scitovski: MatematikaI, Elektrotehnički fakultet &

Prehrambeno-tehnološki fakultet – Odjel za matematiku, Sveučilište J. J.

Strossmayera u Osijeku, Osijek, 2000.

7. J. Lewin, An interactive introduction to mathematical analysis. With CD-

ROM, Cambridge: Cambridge University Press, 2003.

8. Ž. Marković: Uvod u višu analizu, I. dio, Školska knjiga, Zagreb, 1956.

9. M. Pašić: MatematikaI. S više od 800 primjera i zadataka, Merkur

ABD, Zagreb, 2005.

10. R. Živković, H. Fatkić, Z. Stupar: Zbirka zadataka iz matematikesa

rješenjima,uputama i rezultatima (Matematička logika i skupovi, Relacije i

funkcije, Algebarske strukture, Brojevi, Jednačine i nejednačine, Polinomi,

Aritmetički niz i geometrijski niz), Svjetlost - OOUR Zavod za udžbenike i

nastavna sredstva, Sarajevo, 1987. (Book)

Didactic methods

The course is carried out through theoretical lectures that serve to present

the concepts of differential and integral calculus for real functions of

a real variable. These lectures are supported by solving of mathematical

problems by lecturers with the goal of having the students master the

instruments and methods introduced in lectures.

Under guidance and monitoring by academic tutors, other mathematical

problems, including the ones from pervious exam terms, are solved as well.

These activities are organised in a way that the level of students’

preparedness to master the knowledge and skills they need to acquire during

the course is continuously checked through the curriculum which includes

homework and partial exams.

Assessment

Student collects points during the course based on the following system*):

attendance at lectures and tutorials carries 10 points; student who

misses three or more lectures and/or tutorials cannot collect points

on this basis;

homework carries maximum 10 points; students need to prepare 3

to 5 homework assignments that are equally distributed during

semester;

Partial exams: two partial exams, out of which each carries

maximum 20 points.

Partial exams (90 minutes long) carry tests comprised of multiple choice

answers, out of which only one is the correct one (student who answers

correctly to all the multiple choice tests achieves maximum 10 points), as

well as one open answer test (correct answer to this test brings 10 points).

Students who passed both partial exams in a semester (achieved 10 or more

http://www.etf.unsa.ba/

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points at each test) takes the final oral exam; this exam is comprised of

discussion on assignments from partial exams, homework, and answers to

simple questions which refer to the topic of the course (definitions,

formulations, and presentation of simpler evidence of the most important

traits and/or theorems. Final oral exam is focused on integral matter of the

course stipulated by study programme. The goal of this exam is to check

whether students achieved adequate understanding of concepts and practical

matters presented during the course.

Final oral exam carries maximum 40 points. In order to achieve passing

grade, students have to achieve minimum 15 points at this exam. Students

who don’t achieve minimum number of points will take oral part of makeup

exam.

Students who fail both partial exams will take makeup exam.

Makeup exam is organised in the following way:

written part, which is structured the same way as partial written

exam; within this exam students will take the tests from partial

exam in which they failed to achieve a passing grade (10 or more

points);

oral part, which is structured the same way as oral part of the final

exam.

Students who achieved total score of 10 or more points in each of

the two partial exams after taking the written part of makeup exam

are eligible to take the oral part of makeup exam; the score is

comprised of points collected through passing of partial exams and

passing of written part of makeup exam.

Oral makeup test carries maximum 40 points. In order to get a passing

grade, students need to achieve minimum 15 points in this exam and at the

same time achieve minimum 55 points out of possible 100 (including the

points for attendance, homework, and two partial exams passed). Students

who do not achieve these minimums have to retake the course.

----------------

*) Attendance at all aspects of teaching is mandatory.

Prerequisites

Although there are no official prerequisites for this course, basic knowledge

in elementary mathematics is required for students to be successful.

Module title Fundamentals of Electrical Engineering

Module code ETF OE I-1175

Programme ETF-PGS

Module

coordinator

Dr Narcis Behlilović, Full Professor

Dr Senad Smaka, Assistant Professor

Teaching staff

Mirza Milišić, MSc, Senior Teaching Assistant

Mirza Hamza, MSc, Senior Teaching Assistant

Irma Sokolović, MSc, Senior Teaching Assistant

Mirsad Ćosović, Teaching Assistant

Lejla Ahmethodžić, Teaching Assistant

Year of study 1

Semester 1


ECTS 7

Lectures 48

Laboratory

exercises 4

Tutorials 28

Workload –


Module outcomes

Module has a goal to present basic concepts of electro-magnetism to the

students, with appropriate mathematical apparatus. Students gain knowledge

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related to scientific methodology and natural laws in such manner to meet

electro-magnetic phenomena and problems related, from qualitative and

quantitative aspect.

Module content

1. Electric charge: insulators and conductors, Coulomb's law of force,

distributions of electric charge.

2. Electric field: Gauss’s theorem for electric field in integral and

differential form, divergence of electric field, examples of

application of Gauss’s theorem.

3. Electric potential: work of electric field forces, conservative nature

of electric field, curl of electric field. Potential and difference of

potentials, Electric field as gradient of potential, equipotent planes.

Poisson’s and Laplace's equations.

4. Electric capacity: Definition of electric capacity, capacity in system

of conductors, examples of capacity calculation. Combinations of

capacitors. Electro-static energy and calculation of force using

electrostatic energy.

5. Dielectrics: matter polarization, electric susceptibility and nature of

polarization vector. Dielectric displacement and its connection with

dielectric electrostatic field and polarization. Boundary conditions

between two linear dielectric environments. Stored energy in

dielectric medium.

6. Electric current: definition of electrical conductivity and stationary

electric current, Ohm’s law of electrical conductivity, electric

resistance, serial and parallel connected resistors. Joule’s law.

Exchange of energy in electrical circuit. Kirchhoff's laws. Energy

conservation law in electrical circuit.

7. Magnetic field: magnetic interaction, electricity and magnetism.

Magnetic force to electric charge in motion, magnetic force to

conductor conducting electricity, mechanical moments. Hall’s effect.

Motion of charged particle in magnetic field.

8. Sources of magnetic field, Ampere’s law in basic and general form,

magnetic properties of matter, electrically induced magnetic field,

Biot-Savart-Laplace's law, electro-dynamic force, magnetic

properties of matter: permeability and susceptibility of material,

hysteretic loop, Gauss’s law for magnetic field.

9. Basic magnetic circuits: Analogy with electric circuits.

10. Time-variable electric and magnetic fields: Properties of

electromagnetic field, Faraday’s law of electromagnetic induction,

Lenz's principle, induced electromotive force. Application of

Faraday’s law: alternating current generators, electric motors. Self-

induction, inductive electric circuit, magnetic energy in linear and

non-linear environments. Mutual induction, calculation of mutual

inductivity.

Literature

Recommended

1. Notes and slides from lectures (See Faculty WEB Site)

2. N. Behlilović, Osnove Elektrotehnike, Univerzitet u Sarajevu,

ISBN 978-0058-629-24-2, COBISS.BH-ID 16925446, Sarajevo

2008.

Additional

1. Ejup Hot, Osnovi elektrotehnike knjiga prva, Ejup Hot, Osnovi

elektrotehnike knjiga druga, ETF Sarajevo 2003.

2. Umran S. Inan, Aziz S. Inan, Engineering Electromagnetic, Addison

Wesley Longman, Inc. 1998, California, USA.

Didactic methods

Lectures are presented directly in lecture-hall and are being supported with

typical problems solving (48 hrs) in such manner for students to comprehend

and adopt knowledge and skills defined in module outcomes.

Throughout laboratory exercises (4 hrs), under guidance of tutor, experiments

are carried out in laboratory. Goal of laboratory exercises is for students to

practically verify (by forming some simple DC circuits) some fundamental

laws presented in lectures (such as: Ohm’s law, I&II Kirchoff’s law, energy

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conservation law, etc.).

Throughout tutorials (28 hrs), under guidance of tutor, typical problems are

solved (from topics treated in lectures), including problems from previous

exams. In this manner students will be prepared for final exam.

Assessment

The contributions of all activities are rated according to the following scale:

Regular attendance (max. 10 points)

Homeworks / Laboratory exercises (max. 10 points)

1st midterm exam (max. 20 points)

2nd

midterm exam (max. 20 points)

Final exam (max. 40 points)

Regular attendance means that student must be present on all forms of the

module’s delivery. Student earns 10 x (Number of presence hours) / 60 points

for attendance.

By solving of homework and/or laboratory exercises (HW/LE), student can

earn up to 10 points. Homework is done in the form of preparation and

implementation of laboratory exercises under the guidance of assistant (2x2

points) and two short tests (2x3 points).

Midterm exams: There are two midterm exams, and both are in written form.

At each midterm exam student can earn a maximum of 20 points. Midterm

exam is considered to be passed by a student if he earned at least 10 points.

First midterm exam is in the 8th

week, and second midterm exam is in the 16th

week of the semester. Students who failed first and/or second midterm exam

are allowed to go through the makeup exam at the end of the semester.

Duration of midterm and makeup exams is from 90 to 120 minutes. During

midterm and makeup exams students solve the problems that are of the same

type as those solved during the lectures and tutorials.

Final exam: At final exam, a student can earn a maximum of 40 points.

Student will be allowed to take final exam if he/she meets all of the following

conditions:

if student passes both midterm exams,

if student earns at least 40 points through: regular attendance, and

homework/laboratory, and midterm exams.

Final exam is considered to be passed if a student earns a minimum of 15

points. Otherwise, student must take makeup final exam (which is just as

structured as the final exam.). Final exam can be written or oral and most

frequently is in oral form. At final exam students get three questions related

to course topics.

Makeup exams and makeup final exam: Students who fail the midterm

exam(s) must take the makeup exam. Also, students who fail to earn 40

points (through: regular attendance, and homework/laboratory, and midterm

exams), regardless of whether they have passed the midterm exams or not,

must take makeup exam.

Students who failed final exam must take makeup final exam. Also, students

will be allowed to take makeup final exam if they meet all of the following

conditions:

if student passes makeup exam,



Students who fail to earn at least 20 points (through: regular attendance, and

homework/laboratory, and midterm exams), regardless of whether they have

passed the midterm exams or not, must retake this module next academic

year. Also, students who do not achieve a minimum of 15 points at makeup

final exam must retake this module next academic year.

Prerequisites

Module title Physics for engineers 1

Module code ETF IF1 I-1160

Programme ETF-PGS

Module Dr Hasnija Šamić, Associate Prof.

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coordinator

Teaching staff

Dr Hasnija Šamić, Associate Prof.

Selma Hanjalić, MSc, Senior Teaching Assistant

Bojan Nikolić, Teaching Assistant

Year of study 1

Semester 1


ECTS 5

Lectures 39

Laboratory

exercises 0

Tutorials 21

Workload –


Module outcomes

The course aims to provide an introduction to classical mechanics necessary

for basic formation of future engineers, and its preparation for advanced

courses

At the end of the module students should:

understand the basic concepts of mechanics of material point, system

of points and fluids and apply them in specific cases,

be able to define, discuss, analyze, and solve simple problems of

classical mechanics, correctly applying the basic concepts of vector

algebra and mathematics analyzes.

Module content

Matter is systematized and divided into the following chapters:

1. Physical fundamentals of mechanics: Physical values and measurements; measure units and unit systems;

measurement errors; scalar and vector values; material point and system of

material points (solid).

2. Kinematics: Kinematics of material point; space and time; movement and referent

systems; displacement, velocity and acceleration of material point; types of

kinematic movements, rectilinear movement, curvilinear movement.

3. Dynamics: 3.1. The fundamental equation of dynamics:

Causes that lead to movement of the body; the first, second and third

Newton's principle of dynamics; differential equations of motion under force

in gravitational, electric and magnetic field; torque force and impulse; work

and energy; power; laws of conservation of energy and impulse; body

collisions.

3.2. Dynamics of solid body:

Inertia moment; Steiner theorem; force momentum; impulse momentum;

work and energy of rotation; law of conservation of impulse momentum.

4. Oscillations: Oscillatory movement; harmonic oscillations; energy of the harmonic

oscillation; composition of harmonic movements; mathematical, physical and

torsional pendulum; damped oscillations; forced oscillations; resonance.

5. Waves: 5.1. Mechanical waves

Definition of wave motion; plane and spherical waves; the general wave

equation; energy of elastic waves; wave interference; standing waves; wave

reflection; refraction of waves.

5.2. Sound:

Sound waves; propagation speed of sound waves; Doppler effect; volume

level; sound absorption; ultrasound.

6. Mechanics of fluids: 6.1. Fluid statics:

The pressure; hydrostatic pressure; atmospheric pressure; Archimedes law.

6.2. Fluid dynamics:

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Ideal fluid flow; equation of continuity; Bernoulli's equation; viscosity;

laminar and turbulent motion; movement in the pipes with variable cross-

section; measuring the speed and flow.

Literature

Recommended

1. H.Šamić, Inženjerska fizika 1, Slajdovi i bilješke, ,


2. S.Marić, “Fizika”, Svjetlost, 2001

3. H.Šamić, B.Nikolić, S.Hanjalić “Inženjerska fizika 1 – odabrani

problemi sa rješenjima“, Sarajevo, 2013

4. D.Halliday, R.Resnick, J.Walker, “Fundamenatls of Physics”, John

Wiley & Sons, 2001.

Additional 1. D.Giancoli, “Physics for Scientists and Engineers”, Prentice Hall,

New Jersey, 2000

Didactic methods

Course material is presented in following ways: lectures and tutorials.

Lectures performed in an aula for all students by the teacher. During those

lectures, fundamental theoretical and experimental aspects of matter will be

explained. In addition, numerical problems will be solved. After completion

of the presentation for each logical unit rounded curriculum, teacher will

formulate and solve problems, and examples that allow students to

understand the tools and methodologies provided during lectures.

In tutorials, under the guidance of the teaching assistant, more numerical

problems and examples are solved in order to achieve a better theoretical

understanding of the presented topics. Students are divided into small groups

and can be prepared for tutorial classes and present the planned tasks for such

activity to get extra points.

During the semester, students are obliged to do five homeworks.

In addition, students are expected to participate in lectures and tutorials, as

well as to work individually all the time.

Assessment

During the course, students earn points according to the following system:

Attendance to lectures and tutorials: 10 points. Student with more

than three absences during semester will not get there points.

Homeworks – maximum of 10 points. Students will have five

homeworks equally distributed throughout the semester.

Two written exams, midterm and final, each written exam with a

maximum of 40 points.

Partial exam lasts 90 minutes and the student responds to three theoretical

issues and solves three numerical problems.

To successfully complete a course the student should gain at least 60 points

during the course.

The final oral exam is optional and applies only to students who are not

satisfied with the proposed final grade. The proposal of the final grade is

formed on the basis of evidence of the presence of all forms of teaching,

performance on written exams and activities in tutorials. In the oral

examination students answer the theoretical questions related to the topic

from the course.

Student who earns less than 20 points must retake the course.

Student who earns less than 60 points during one semester and less than 20

points on the one partial exam will have to take a partial makeup exam, for

the part that he failed. If student failed both partial exams, will have to take

an integral makeup exam, maximum of 80 points, which consists of four

theoretical issues and four numerical problems. Makeup integral exam lasts

150 minutes.

Prerequisites

Module title Linear Algebra and Geometry

Module code ETF LAG I-1160

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Programme ETF-B

Module

coordinator Dr Almasa Odžak, Assistant Professor

Teaching staff

Dr Almasa Odžak, Assistant Professor

Mirza Batalović, MSc, Senior Teaching Assistant

Selma Grebovic, MoE, Teaching Assistant

Year of study 1

Semester 1


ECTS 5

Lectures 39

Laboratory

exercises 0

Tutorials 21

Workload –


Module outcomes

At the end of the module students should be able:

to understand idea of vector space, linear dependence and

independence, vector space basis and dimension, linear mapping of

vector spaces,

to master the techniques of matrices and vectors calculations,

to analyze a solvability of linear equation systems and to be able to

find their solutions using different techniques,

to overwhelm the concept of straight line and plain, as well as the

concept of curves and surfaces in the space,

to use achieved knowledge in order to solve particular practical

problems.

Module content

1. Elements of mathematical logics and set theory: Operations.

Algebraic structures. Group, rings and modules.

2. Vector spaces theory elements: Vector spaces and subspaces.

Calculation properties. Linear combinations. Linear dependence and

independence. Basis, dimension and generators.

3. Matrices: Definition and types of matrices. Operations (addition,

multiplication by scalars, multiplication, transposition). Matrix rank.

Inverse matrix. Determinants (presenting, Sarrus rule, Laplace rule,

properties).

4. Systems of linear equations: Definitions of systems of linear

equations and solutions. Determined, undetermined and impossible

system. Cramer’s rule. Method for solving quadratic systems using

matrices. Gauss elimination method. Kronecker-Capelli method.

5. Linear operators: Definition of linear operator. Kernel and image

of an operator. Linear operators and matrices. Linear functionals and

dual vector spaces. Polynomials. Eigenvalues and Eigenvectors.

Diagonalization.

6. Vector algebra: Definition of vectors. Magnitude and direction.

Basic vector operations. Dot, cross and triple product of vectors.

7. Analytical geometry in plane: Concept of line and surface

equation. Equations of a line in the plane. Parallel and

perpendicular lines. The distance between two points. Set of lines

passing through specific point in the plane.

8. Second order curves: Ellipse, hyperbola, parabola. Second order

curves identification.

9. Analytical geometry in space: Equations of a plane in space.

Equations of a line in space. Mutual relations between two lines, two

planes, and plane and line in space. Set of plains containing specific

line.

10. Second order surfaces: Ellipsoid. Hyperboloid. Elliptical

paraboloid. Hyperbolic paraboloid. Cylinder. Cone. Surface of

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revolution.

Literature

Recommended

1. A. Odžak: Lecture notes, Sarajevo, 2013, http://www.etf.unsa.ba/

2. D. S. Mitrinović, D. Mihailović, P. M. Vasić: Linearna algebra,

polinomi i analitička geometrija, Građevinska knjiga Beograd,1990.

3. B. Mesihović, Š. Arslanagić: Zbirka riješenih zadataka i problema iz

matematike sa osnovma teorije i ispitni zadaci, Svjetlost, Sarajevo,

1988.

4. P. Miličić, M. Ušćumlić: Zbirka zadataka iz matematike I, Beograd,

1989.

Additional

1. G. Strang: Introduction to Linear Algebra. 4th ed. Wellesley-

Cambridge Press, 2009.

2. L.E. Spence, A.J. Insel, S.H. Friedberg: Elementary Linear

Algebra:

3. A Matrix Approach, 2nd ed , Pearson, 2008.

4. O. Bretcher: Linear Algebra with Applications, Pearson, New Jersey,

2009.

5. M. Bračković: Matematika – determinante, sistemi linearnih

jednačina, elementi vektorske algebre i analitičke geometrije,

Svjetlost, Sarajevo, 1990.

6. N. Elezović: Linearna algebra, Element, Zagreb, 1996.

7. N. Elezović, A. Aglić: Linearna algebra, Zbirka zadataka, Element,

Zagreb, 1996.

Didactic methods

The main goal of lectures is to give exhaustive overview of all topics covered

by this module. Monologue, dialog and demonstrative methods are being

used here. After introducing the terms, their mutual relationships, results and

methods of particular topic the lecturer solves carefully selected examples in

order to demonstrate previously theoretically lectured material. During

tutorials, under the tutor guidance, theoretical elements of particular topic are

being resumed and carefully selected examples and problems are solved in

details. During tutorials students are able to use an opportunity for interactive

discussion about issues that are subject of the course. Besides that, small

number of students in groups for tutorials gives an insight of student’s

achievement during the course.

Students are obligated to attend lectures and tutorials. It is expected that each

student is properly prepared for all forms of classes using teaching materials

available to be downloaded from the faculty courseware, and to actively

participate during classes and to maintain continuous independent study.

Assessment

The Assessment activities and their allocated points are given in details

below.

Activity: Mark (%):

Class Participation & Attentiveness 10 %

Homework assignments 10 %

Partial examination 1 (week 8) 20 %

Partial examination 2 (week 16) 20 %

Final examination 40 %

Class participation and attentiveness: Attentive participation in all forms of classes is mandatory.

Homework assignments: Two homework assignments are anticipated during the course. Each

homework consists of 5-10 problems to be solved. Solving homework

problems student needs to demonstrate certain competency for independent

usage of methods and techniques displayed during the hours of lectures and

tutorials.

Partial examination: The partial examination in this course are standard closed-book, 2 hours

written examination, covering all aspects of the course that have been

presented in the lectures and tutorials during previous seven weeks. The

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exams consist of some questions of a descriptive nature (e.g. explaining a

concept, main results and techniques) and the rest are problem-solving

questions.

Through this exam analytical and critical thinking and general understanding

of the course material is verified in a controlled fashion.

Assessment is a graded according to the correct fraction of the answers to the

exam questions. A satisfactory performance (50% or greater) in the both

partial exams is a necessary requirement to pass this course, irrespective of

the marks obtained in the other components.

Final examination:

The final oral exam covers all topics of the module. The objective is to ensure

that the student has an appropriate understanding of the concepts, results and

methods of the course.

Prerequisites

Module title Fundamentals of Computing

Module code ETF OR I-1170

Programme ETF-B ACE, PE, CI, TC

Module

coordinator

Dr Haris Šupić, Associate Professor

Teaching staff

Dr Haris Šupić, Associate Professor

Vedran Ljubović, MSc, Senior Teaching Assistant

Teo Eterović, MoE, Teaching Assistant

Alvin Abdagić, MoE, Teaching Assistant

Dario Raca, MoE, Teaching Assistant

Year of study 1

Semester 1


ECTS 6

Lectures 44

Laboratory

exercises 26

Tutorials 0

Workload –


Module outcomes

A student who successfully completes the course will have the ability to:

understand fundamental concepts in computing and informatics

involving: number systems, basics of computer architecture, and

information technology applications;

conceptually understand problem solving strategies using

algorithmic approach;

understand the basic terminology used in computer programming;

design simple programs in C language involving: program control

statements, arrays, structures, functions, pointers, and input-output

operations.

write, compile and debug simple programs in C language.

Module content

1. Introduction: Problem analysis, problem solving methods,

algorithms, flow diagrams, program development, top-down and

bottom-up development methodology, programming languages.

2. Number systems, basics of Boolean algebra, basics of

microprocessor technology, basics of computer architecture,

processor structure and function, bus and registry, RAM and ROM

memory, input and output, peripheral memories.

3. Basic survey of computing and informatics: local and global

computer networks, human-computer communication, network

services, internet, electronic mail; Software: structure and

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organization of computer programs, system software, operating

systems, application software

4. Programming language C: syntax, data types, local and global

variables.

5. Control structures, operators, arrays, pointers, pointer declaration

and initialization, strings

6. Functions, function definitions, function prototype, function

arguments, function calls and passing arguments to functions:

passing by value and passing by reference, recursive functions

7. Structures, arrays of structures, accessing array elements, operations

on structures

8. Files, work with files, modular programming in C, library functions,

dynamic allocation.

Literature

Recommended


2. Mark Burel, Fundamentals of Computer Architecture, Palgrave

Macmillan, 2003.

3. Brian W. Kernighan, Dennis M. Ritchie, C Programming Language,

Prentice Hall Inc., 1988.

4. Al Kelley, Ira Pohl, A Book on C, Addison-Wesley, 1998

Additional

Didactic methods

Lectures introduce fundamental concepts of computing and programming. In

this way students are introduced with different components of the computer,

different number systems and its conversions and problem-solving strategies.

Besides presentation of the fundamental concepts in computing and

programming, lectures also consist of the presentations of appropriate

examples illustrating introduced concepts. Laboratory exercises and home

assignments include additional examples and problems closely coordinated

with the lectures. In this way, the laboratory exercises and home assignments

contributes to the development of the student ability to understand basic

concepts in computing and programming, and ability to design and

implement programs in C programming language to solve simple computing

problems.

Assessment

The grading of the course is as follows:

Attending lectures and laboratory exercises (maximum 10 points).

Student with more than three absences from lectures and/or

laboratory exercises cannot get these points.

5 home assignments equally distributed throughout the semester

(maximum 10 points)

Two partial exams:

First partial exam (maximum 20 points)

Second partial exam (maximum 20 points)

The partial exams cover all material presented in the lectures,

laboratory work and home assignments. During the partial exams

students are tested for understanding of fundamental concepts in

computing and programming, and their ability to solve simple

programming problems in C programming language.

Final exam (maximum 40 points)

Students who passed both partial exams (minimum 10 points) can get access

to the final exam. The final exam covers material from the entire semester,

including lectures, laboratory exercises and home assignments. Passing the

final exam is necessary for passing the course. In order to get positive final

grade, students must earn minimum of 55 points including attending, home

assignments, two partial exams and final exam. Students who have not passed

only the second partial exam must repeat only this exam. Students who have

not passed both partial exams must pass integral exam covering material from

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entire semester.

Prerequisites

Module title Mathematics for Engineers 2

Module code ETF IM2 I-1280


Module

coordinator Dr Huse Fatkić, Associate Professor

Teaching staff

Dr Huse Fatkić, Associate Professor

Alvin Abdagić, MoE, Teaching Assistant

Mehmed Brkić, MoE, Teaching Assistant

Year of study 1

Semester 2


ECTS 7

Lectures 52

Laboratory

exercises 0

Tutorials 28

Workload –


Module outcomes

After completing the course the student should:

develop a sense of creativity;

master the standard techniques of solving basic types of simple

differential equations of the first and higher order and system of

linear differential equations;

understand the concepts of the Laplace transform, Fourier series,

Fourier transform, Fourier integral and a good knowledge of their

basic components and important applications;

grasp the basic techniques of differential and integral calculus of

real and vector functions of several real variables and enable them

for their application in physics and other natural sciences;

acquire the necessary knowledge about optimization problems

applying standard and conditional extrema of functions of

multiple variables;

understand basic terms of theory of scalar and vector fields as well

as knowing their basic properties;

understand the role which differential equations and the theory of

functions of several variables have in mathematical modelling of

concrete physical and other problems.

Module content

1. Ordinary differential equations of the first order : Basic concepts and ideas. Geometrical consideration. Isoclines. Separation

of variables. Linear differential equations of the first order. Variation of

constants.

2. Ordinary differential equations of the higher order: Homogeneous linear differential equations of second order with constant

coefficients. General solution. Cauchy's equation. Homogeneous

differential equations of higher order with constant coefficients.

Nonhomogeneous linear differential equations. General method for solving

nonhomogeneous equations. Systems of differential equations.

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3. Laplace transform: Direct and inverse Laplace transform. Basic properties. Laplace transform

of derivatives and integrals. Transformation of ordinary differential

equations. Unit step function. Periodic functions.

4. Fourier series, integrals and transforms: Periodic functions. Trigonometric series. Fourier series. Euler's formulas.

Functions with arbitrary period. Even and odd functions. Fourier integrals.

Fourier transform

5. Basis of differential calculus of functions of several real variables: Functions of several real variables. Continuity. Limits. Polar coordinates in

the plane. Calculating limits using a coordinate transformation. Directional

derivative. Higher order partial derivatives. Gradient. Derivative of a

composite function.

6. Taylor’s formula – Optimization I : Local extrema. Necessary condition for existing local extremes (Fermat's

theorem). Second order derivative of scalar function of two variables.

Quadratic forms, classification. Necessary condition for the local extrema

to have an inner point. Sufficient condition for local extrema.

7. Optimization II (Relative extrema-relative maximum or minimum):

Presentation of curve and surface in implicit form. Tangent space and

normal space on the curve given by the equation f (x, y) = 0. Equation of a

tangent, equation of a tangent plane and equation(s) of the normal line.

Points in which there is related extrema. Critical points. Gradient in a

critical point. Necessary condition for the local extrema of function defined

on the curve or surface (interpretation of the Lagrange multipliers and

applications to optimization problems).

8. Vector field theory: Scalar and vector fields. Vector calculus. Curves. Arc length. Tangent.

Curvature and involution. Speed and acceleration. Directional derivative.

Gradient of a scalar field. Divergence and rotor of vector fields.

9. Integral calculus of functions of several real variables: Line integrals of the first and second kind. Double integrals and double

integrals as iterated integrals. Transformation of double integrals into line

integrals. Surfaces. Tangent plane. Surface integrals of the first and second

kind. Triple integrals, triple integrals as iterated integrals and multiple

integrals. Gauss’ divergence theorem. Stokes’ theorem. Consequences and

applications of Gauss' and Stokes'theorems. Line integrals & independence

of path.

Literature

Recommended

1. H. Fatkić: Inženjerska matematika 2, Slajdovi i bilješke, Sarajevo,

2013, http://www.etf.unsa.ba/.

2. H. Fatkić, V. Dragičević, Diferencijalni račun funkcija dviju i više

promjenjivih, I.P. Svjetlost, Sarajevo, 2006. (University book)

3. D. Mihailović, D. Đ. Tošić, Elementi matematičke analize II,

(Funkcije više promjenljivih, vektorska analiza, višestruki

integrali i teorija polja), Naučna knjiga, Beograd, 1976; 1988;

1991. (Textbook)

4. P. M. Miličić, M. P. Ušćumlić: Zbirka zadataka iz više

matematike II, Građevinska knjiga, Beograd, 1971; ..., 1988.

5. M. Pašić, Matematika 2 sa zbirkom riješenih primjera i zadataka,

Merkur A.B.D., Zagreb, 2006.

Additional

1. T. M. Apostol, Calculus, Vol. II, Second Edition, (1967), and the

additional course notes by James Raymond Munkres, Professor of

Mathematics, Emeritus (at MIT).

2. A. Dautović, Laplaceova transformacija - Zbirka riješenih

zadataka, ETF, Sarajevo, 2010.

3. B. P. Demidovič i dr., Zadaci i riješeni primjeri iz više

matematike s primjenom na tehničke nauke (prijevod), Tehnička

knjiga, Zagreb, 1971; Danjar, Zagreb, 1995.

4. V. Dragičević, H. Fatkić, Određeni i višestruki integrali, IGKRO


http://ocw.mit.edu/OcwWeb/Mathematics/18-024Calculus-with-Theory-IISpring2003/LectureNotes/index.htm

http://ocw.mit.edu/OcwWeb/Mathematics/18-024Calculus-with-Theory-IISpring2003/LectureNotes/index.htm

http://library.foi.hr/m3/jrez.asp?nema=I&B=0&N=50&V=&J=&K=U&O=&S=&Upit=517&ScrollAction=Stranica+12

























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Svjetlost, Zavod za udžbenike, Sarajevo, 1979. (I. izd.); 1987. ( II

izd.). (Textbook))

5. M. Galić, E. Osmanagić, Matematika III, Normirani i metrički

prostori, diferencijalne jednačine i redovi, Elektrotehnički fakultet,

Sarajevo, 1977.

6. S. Kurepa, Matematička analiza. Treći dio. Funkcije više varijabli,

Tehnička knjiga, Zagreb, 1975.

7. M. Nurkanović, Z. Nurkanović, Laplaceova transformacija i

primjena, PrintCom d.o.o. grafički inženjering, Tuzla, 2010.

8. F. Vajzović, M. Malenica, Diferencijalni i integralni račun

funkcija više promjenljivih, Univerzitetska knjiga, Studentska

štamparija Univerziteta u Sarajevu, Sarajevo, 2002. (University

book)

9. M. Vuković, Diferencijalne jednačine, Prvi dio, Univerzitetska

knjiga, Studentska štamparija Univerziteta u Sarajevu, Sarajevo,

2000. (University book)

Didactic methods

The course is carried out through theoretical lectures that serve to present

the concepts of differential and integral calculus for real functions of

a real variable. These lectures are supported by solving of mathematical

problems by lecturers with the goal of having the students master the

instruments and methods introduced in lectures.

Under guidance and monitoring by academic tutors, other mathematical

problems, including the ones from pervious exam terms, are solved as well.

These activities are organised in a way that the level of students’

preparedness to master the knowledge and skills they need to acquire

during the course is continuously checked through the curriculum which

includes homework and partial exams.

Assessment

Student collects points during the course based on the following system*):

attendance at lectures and tutorials carries 10 points; student who

misses three or more lectures and/or tutorials cannot collect points

on this basis;

homework carries maximum 10 points; students need to prepare 3

to 5 homework assignments that are equally distributed during

semester;

Partial exams: two partial exams, out of which each carries

maximum 20 points.

Partial exams (90 minutes long) carry tests comprised of multiple choice

answers, out of which only one is the correct one (student who answers

correctly to all the multiple choice tests achieves maximum 10 points), as

well as one open answer test (correct answer to this test brings 10 points).

Students who passed both partial exams in a semester (achieved 10 or more

points at each test) takes the final oral exam; this exam is comprised of

discussion on assignments from partial exams, homework, and answers to

simple questions which refer to the topic of the course (definitions,

formulations, and presentation of simpler evidence of the most important

traits and/or theorems. Final oral exam is focused on integral matter of the

course stipulated by study programme. The goal of this exam is to check

whether students achieved adequate understanding of concepts and

practical matters presented during the course.

Final oral exam carries maximum 40 points. In order to achieve passing

grade, students have to achieve minimum 15 points at this exam. Students

who don’t achieve minimum number of points will take oral part of

makeup exam.

Students who fail both partial exams will take makeup exam.

Makeup exam is organised in the following way:

written part, which is structured the same way as partial written

exam; within this exam students will take the tests from partial

exam in which they failed to achieve a passing grade (10 or more

of 85

points);

oral part, which is structured the same way as oral part of the final

exam.

Students who achieved total score of 10 or more points in each of the two

partial exams after taking the written part of makeup exam are eligible to

take the oral part of makeup exam; the score is comprised of points

collected through passing of partial exams and passing of written part of

makeup exam.

Oral makeup test carries maximum 40 points. In order to get a passing

grade, students need to achieve minimum 15 points in this exam and at the

same time achieve minimum 55 points out of possible 100 (including the

points for attendance, homework, and two partial exams passed). Students

who do not achieve these minimums have to retake the course.

----------------

*) Attendance at all aspects of teaching is mandatory.

Prerequisites

Mathematics for Engineers 1 – ETF IM1 I-1175

Module title Electrical Circuits 1

Module code ETF EK I-1275


Module

coordinator Dr Narcis Behlilović, Full Professor

Teaching staff


Dr Irfan Turković, Assistant Professor

Dr Senad Smaka, Assistant Professor

Mirza Milišić, MSc, Senior Teaching Assistant

Mirza Hamza, MSc, Senior Teaching Assistant


Mirza Ćosović, Teaching Assistant

Lejla Ahmethodžić, Teaching Assistant

Year of study 1

Semester 2


ECTS 7

Lectures 45

Laboratory

exercises 20

Tutorials 10

Workload –


Module outcomes

Module has a goal to provide basic knowledge about criteria for designing

and energetic behavior of simple electrical circuits with constant

concentrated parameters in conditions where they are powered by single-

phase and three-phase voltage source of periodic signals.

Module content

1. Introduction: Electrical circuits with concentrated parameters as

models which describe electromagnetic phenomenon. Linear

electrical circuit example of linear system. Basic electrical values:

voltage, current, power. Kirchhoff's principles and Tellegen’s

theorem.

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2. Two-poles: Resistor, current and voltage source, short-circuit and

open-circuit. Thevenin's and Norton's model of passive two-poles.

Serial and parallel connection.

3. Basic dynamic circuits: Inductor and capacitor: energy and initial

state. 1st order circuits (RC and RL) powered by a DC voltage

source.

4. Circuits in stationary sinusoidal regime: Periodical signals and

effective value. Relations between sinusoidal signals and phasors.

Phasor representation of Kirchhoff's principles. Impedance,

admittance, reactance and susceptance of two-poles in sinusoidal

regime. Analyses of dynamical circuits in sinusoidal regime (RC,

RL and RLC). Active, reactive and apparent power. Maximal

transmission power theorem.

5. Electrical network graphs and matrix interpretation: Model of

network graph, incidence matrix, electrical values matrix.

Kirchhoff's principles, node voltage method, contour current

method, Tellegen's theorem, substitution theorem, superposition

theorem, reciprocity theorem, Thevenin's theorem, Norton's

theorem.

6. Four-poles: Four-pole representation methods. Four-pole power.

Symmetry and reciprocity. Four-pole connections. Dependent

sources.

7. Three-phase systems, triangle and star connections, symmetrical

and non-symmetrical regime. Three-phase rotating field and

operation principles of electrical motors.

8. Magnetically coupled circuits: Self inductance and mutual

inductance. Energy in coupled coils. Linear transformer.

Literature

Recommended


2. N. Behlilović, M. Hajro, S. Smaka, Električni krugovi 1,

Univerzitet u Sarajevu, , ISBN 978-9958-629-32-7, COBISS.BH-

ID 18036742, Sarajevo 2011.

Additional

1. S. Milojković, Teorija električnih kola, Svjetlost, Sarajevo 1987.

2. D. E. Scott, An introduction to Circuit Analysis-A system

Approach, McGraw-Hill, 1976.

3. C. A. Desoer, E. S. Kuhn, Basic Circuit Theory, McGraw-Hill,

1976.

Didactic methods

Lectures are presented directly in lecture-hall and are being supported with

typical problems solving (45 hrs) in such manner for students to

comprehend and adopt knowledge and skills defined in module outcomes.

Throughout laboratory exercises (10 hrs), under guidance of tutor,

experiments are carried out in laboratory. Goal of laboratory exercises is

for students to master basic skills related to the connection of simple

electrical circuits powered by AC voltage sources.

Throughout tutorials (20 hrs), under guidance of tutor, typical problems

are solved (from topics treated in lectures), including problems from

previous exams. In this manner students will be prepared for final exam.

Assessment

The contributions of all activities are rated according to the following

scale:

Regular attendance (max. 10 points)

Homeworks / Laboratory exercises (max. 10 points)

1st midterm exam (max. 20 points)

2nd

midterm exam (max. 20 points)

Final exam (max. 40 points)

Regular attendance means that student must be present on all forms of the

module’s delivery. Student earns 10 x (Number of presence hours) / 60

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points for attendance.

By solving of homework and/or laboratory exercises (HW/LE), student can

earn up to 10 points. Homework is done in the form of preparation and

implementation of laboratory exercises under the guidance of assistant (2x2

points) and two short tests (2x3 points).

Midterm exams: There are two midterm exams, and both are in written

form. At each midterm exam student can earn a maximum of 20 points.

Midterm exam is considered to be passed by a student if he earned at least

10 points. First midterm exam is in the 8th

week, and second midterm exam

is in the 16th

week of the semester. Students who failed first and/or second

midterm exam are allowed to go through the makeup exam at the end of the

semester. Duration of midterm and makeup exams is from 90 to 120

minutes. During midterm and makeup exams students solve the problems

that are of the same type as those solved during the lectures and tutorials.

Final exam: At final exam, a student can earn a maximum of 40 points.

Student will be allowed to take final exam if he/she meets all of the

following conditions:

if student passes both midterm exams,



Final exam is considered to be passed if a student earns a minimum of 15

points. Otherwise, student must take makeup final exam (which is just as

structured as the final exam.). Final exam can be written or oral and most

frequently is in oral form. At final exam students get three questions related

to course topics.

Makeup exams and makeup final exam: Students who fail the midterm

exam(s) must take the makeup exam. Also, students who fail to earn 40

points (through: regular attendance, and homework/laboratory, and

midterm exams), regardless of whether they have passed the midterm

exams or not, must take makeup exam.

Students who failed final exam must take makeup final exam. Also,

students will be allowed to take makeup final exam if they meet all of the

following conditions:

if student passes makeup exam,



Students who fail to earn at least 20 points (through: regular attendance,

and homework/laboratory, and midterm exams), regardless of whether

they have passed the midterm exams or not, must retake this module next

academic year. Also, students who do not achieve a minimum of 15 points

at makeup final exam must retake this module next academic year.

Prerequisites

Module title Programming Techniques

Module code ETF TP I-1270


Module

coordinator Dr Željko Jurić, Associate Professor

Teaching staff

Dr Željko Jurić, Associate Professor

Enio Kaljić, MoE, Teaching Assistant

Darijo Raca, MoE, Teaching Assistant

Year of study 1

Semester 2


ECTS 6

of 85

Lectures 44

Laboratory

exercises 26

Tutorials 0

Workload –


Module outcomes

The student that completes the course successfully will get the following

competences:

Knowledge about common programming techniques.

Understanding of different approaches to solving programming

problems (imperative, object based and object oriented approach).

Ability of analyzing of the stated problem and judgement abouv

what approach is the best one for its solving.

Ability of solving the analysed problem and its implementation in

some programming language derived from programming language

C (C++, Java, C#, etc.).

Module content

1. Basic imperative programming in C++: Basic elements of C++

language; Input and output stream; Standard C++ libraries; Types

in C++; Logical and enumerated data types; Vectors, deques and

strings; Exceptions; References; Default function parameters;

Function overloading; Generic functions and remplates; Concepts

and models.

2. Advanced imperative programming in C++: Dynamic memory

allocation; Dynamic variables; Memory leaks; Dynamic arrays;

Exceptions during dynamic memory allocation; Complex pointer

types (pointers to arrays, arrays of pointers, pointers to pointers);

Application of complex pointer types to the dynamic allocation of

multidimensional arrays; Indirect data access; Pointers to

functions; Standard library algorithms; Blocks and iterators;

Usage of standard algorithms for sorting and searching; Structs;

Pointers to structs; Dynamic allocation of structs; Arrays and

vectors of pointers to structs; Generic structs; Structs with pointer

data members; Shallow copying; Nodes; Linked lists.

3. Object based programming in C++: Limitations of structs for data

modeling; Object based philosophy; Classes and class instances

(objects); Methods and member functions; Information hiding;

Encapsulation; Class interface; Friend functions and classes;

Constructors; Destructors; Interaction between destructors and

shallow copies; Deep copying; Copy constructor; Overloaded

assignment operator; Techniques for memory management;

Generic classes; Operator overloading; Function objects

(functors); Standard library functors; Binders and adaptors.

4. Object oriented programming in C++: Inheritance; Base and

derived classes; Object slicing; Inheritance and pointers; Static

and dynamic types; Virtual member functions; Polymorhism;

Heterogenic container objects; Type identification; Class

hierarchies; Pure member functions; Abstract base classes;

Polymorphic copying; Files; Serialization of container classes

5. Example of object oriented design; Arithmetical expression trees;

Why object oriented approach is necessary; Problem of memory

management; Handle classes; Expanding of the functionality

Literature

Recommended

1. Ž. Jurić: “Principi programiranja (kroz programski jezik C++)”,

ETF Sarajevo, in preparation, working version available

2. J. Šribar, B. Motik: “Demistificirani C++ (2nd

edition)”, Element,

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Zagreb, 2003.

3. B. Eckel: “Misliti na jeziku C++, Prvi tom: Uvod u standardni

C++ (translation of 2nd

edition)”, Prentice Hall Inc, translated by

Mikro Knjiga, Beograd, 2003.

Additional

1. L. Kraus: “Programski jezik C++ (sa rešenim zadacima)”,

Elektrotehnički fakultet Univerziteta u Beogradu, 1997.

2. S. Oualline: “Kako ne treba programirati na jeziku C++

(translation)”, translated by Mikro Knjiga, Beograd, 2003.

3. B. Stroustrup: “The C++ Programming Language (2nd Edition)”,

Addison-Wesley, Reading, MA, 1991.

4. M. Harmann, R. Jones: “First Course in C++: A Gentle

Introduction”, Univ. of North London, McGraw-Hill Companies,

1997.

Didactic methods

The lectures covers various programing techniques and approaches to the

solving programming problems through the programming language C++.

Students are also prepared for studying the literature independently. The

lectures include simpler examples that illustrate covered theoretical

concepts. On the lab excerises, various simpler to moderately hard

problems are analysed and solved that are related to the topics covered on

the lectures, also in the programming language C++. Harder problems

and case studies are covered through homeworks.

Assessment

The valuation of the student success is as follows:

Active participation in lectures and laboratory exercises (presence,

discussion, testing of factual knowledge), 10 points. On the

beginning of each lab exercise, the student get a short 5-minute

quiz that checks whether the student is prepared for the exercise or

not. The student which did not pass the quiz can not access the

exercise. The student that have 4 or more absences will not get

these points.

I partial written exam, 20 points, 4-7 easy to moderately difficult

programmings tasks, exam duration 2 hours

II partial written exam, 20 points, 1-3 moderately difficult

programming tasks, exam duration 2 hours

Homeworks, 20 points, 25-35 moderately difficult to hard

programming tasks, divided in 6-9 blocks (in average every 10

days), the time limit for solving one block is 8 days

Final oral examination, checking of factual knowledge and

understanding of the theoretical concepts, exam duration 20 min.

Only students that pass both partial exams may approach to the final

examination. For the overall pass, the student must pass the oral exam and

must achieve at least 55 points in summary.

Prerequisites

Fundamentals of Computing – ETF OR I-1170

Module title Electromagnetic Field Theory

Module code ETF TKO TEP I-2365

Programme ETF-B TC

Module

coordinator Dr Irfan Turković, Assistant professor

Teaching staff Dr Irfan Turković, Assistant professor

Mirza Batalović, MSc ,Senior Teaching Assistant

Year of study 2

Semester 3


ECTS 6

Lectures 42

of 85

Laboratory

exercises 0

Tutorials 23

Workload –

Independent

Study

85

Module outcomes

Upon the completion of the module, students should be able to :

Solve both theoretical and practical problems that they may encounter in

the area of electromagnetic.

Describe and present the mechanisms of sources and characteristics of

electromagnetic fields, both steady state and dynamic fields

Solve mathematical problems and calculate the electromagnetic fields in

the time-varying and steady-state conditions

Solve problems of propagation and radiation of electromagnetic fields in

conductors and dielectrics.

Analyze transmission of power and energy through electromagnetic

waves.

Module content

Electromagnetic field theory studies the electromagnetic field as a form of a

materialistic process, which represents the space surrounding the constant

and time-variant electrical charges, both in steady and moving state. Quality

of the research improves with usage differential equations for

electromagnetic field distribution, which define the local correlation

between field parameters and its sources.

Teaching materials are divided into following chapters:

1. Introduction to theory of electromagnetic fields: Physical field and

fundamental definitions of electromagnetic field. Sources of

electromagnetic field: charges and current. Maxwell’s equations in

vacuum – differential and integral form. Elements of vector

analysis.

2. Static electric field: Fundamental postulates of electrostatic in

vacuum. Coulomb’s law. Sources of electric field. Gauss’s and

Maxwell’s postulate and their use. Electric potential. Poisson’s and

Laplace’s equation. Electric field in material (dielectric and

conductor). Polarization of dielectric and dielectric constant.

Boundary conditions. Capacitance and capacitor. Electrostatic

energy and force.

3. Static current field: Current density and Ohm’s law. Equation of

continuity and Kirchhoff’s laws. Energy dissipation and Joule’s

law. Boundary conditions. Equation for stationary current density.

Calculation of electric resistance.

4. Static magnetic field: Fundamental postulates of magnetic in

vacuum. Magnetic induction and Biot-Savart law. Magnetic flux.

Magnetization. Magnetic dipole. Lorentz’s force. Magnetic field

intensity and permeability. Magnetic potentials. Behavior of

magnetic materials. Boundary conditions. Magnetic field energy.

Mechanical manifestation of magnetic field. Solving stationary

magnetic fields.

5. Quasi-stationary electromagnetic field: Faraday’s law of

electromagnetic induction in integral and differential form. Self-

inductivity and joint inductivity. Inductance and inductor. Quasi-

stationary electromagnetic field energy.

6. Time-variant electromagnetic field: Fundamental field equations in

integral and differential form – Maxwell’s system of equations.

Electromagnetic field in homogenous medium. Potentials in

electromagnetic field. Maxwell’s equations in complex form.

Boundary conditions. Poynting’s theorem and Poynting vector.

7. Plane electromagnetic wave: Properties and classification of

electromagnetic waves. Wave equations for electromagnetic field.

Propagation of electromagnetic waves in conductors and

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dielectrics. Reflection and refraction of waves.

8. Electromagnetic wave radiation: Theoretical fundamentals.

Delayed potentials. Hertz’s dipole. Near and far field of radiation.

Radiation of circular current contour – magnetic dipole.

9. Numerical methods for solving electromagnetic fields: Properties,

theoretical assumptions and methodology of using finite element

method and boundary element method. Calculation examples.

10. Electromagnetic compatibility: Introduction. Sources of

electromagnetic interference. Propagation of electromagnetic

interference. Methods for achieving electromagnetic compatibility.

Literature

Recommended

1. I.Turković, Teorija elektromagnetnih polja, Slajdovi i bilješke,

Sarajevo, 2010, http://www.etf.unsa.ba/

2. Z.Haznadar, Ž.Štih, ‘Elektromagnetizam I I II’, Školska knjiga,

Zagreb, 1997 (knjige)

3. A.Đorđević, ‘Elektromagnetika’, Akademska misao Beograd, 2008

(knjiga)

Additional

1. J.Surutka Elektromagnetika, Građevinska knjiga Beograd

2. D.K.Cheng, ‘Fundamentals of Engineering Electromagnetics’,

Addison-Wesley Publishing Company, Inc. USA 1993

3. R.H.Elliot, ‘Electromagnetics : history, theoria and applications’,

IEEE PRES Series on Electromagnetic Waves, Piscataway, NY,

1993

Didactic methods

Course material is presented in following ways:


lectures, fundamental theoretical aspects of electromagnetic field theory

will be explained. In addition, numerical problems will be solved. In

tutorials, under the guidance of the teaching assistant, more numerical

problems and examples from previous exams are solved so that students

understand theoretical aspects better. During the semester, students are

obliged to do several home assignments. In addition, students are expected

to participate in lectures and tutorials, as well as to work individually all

the time.

Exams


Attendance to lectures and tutorials: 10 points. Student with more than

three absences during semester will not get these points.

Home assignments – maximum of 10 points. Students will have two

home assignments.

Two written exams, midterm and final, each exam with a maximum of 20

points.

Written exam is structured on the following way:

Simple questions designed to test student’s fundamental theoretical

knowledge – maximum of 5 points.

Solving two numerical problems that require complete solving procedure

– maximum of 10 points.

Solving two to three simple numerical problems, with multiple-choice

answers given – maximum 5 points.

Student who earns 40 points or more will take a final oral exam. Also,

students that have 10% less points can take a final oral exam, depending

on teacher’s and assistant’s opinion. Final oral exam consists of discussion

of exam problems, home assignment discussion and answering the simple

theoretical questions. Students can earn a maximum of 40 points for this

exam. In order to get a positive grade, student must earn at least 15 points

on the final exam.

Student who fails to pass one or both written exams will have to take a

makeup exam, for the part that he failed. Makeup exam has the same

structure as the written exam. Makeup final oral exam has a same structure


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as the final oral exam.


Prerequisites

Mathematics for Engineers I and II,

Fundamentals of Electrical Engineering

Electrical Circuits I

Module title Electrical Circuits 2

Module code ETF TKO EK2 2375

Programme ETF-B TC

Module

coordinator Dr Smajo Bišanović, Assistant professor

Teaching staff Dr Smajo Bišanović, Assistant professor

Mirsad Ćosović, Teaching Assistant

Year of study 2

Semester 3


ECTS 6

Lectures 49

Laboratory

exercises 6

Tutorials 20

Workload –

Independent

Study

75

Module outcomes

This course is one of the basic disciplines in electrical engineering – beside

classical application in solving electrical circuits, this course provides review

of many principles that are used in electrical engineering, electronics,

telecommunications and signal processing, control systems. Acquired

knowledge and skills is a powerful tool for solving many problems in theory

and practice, as well as a assistance and the basis for further study the

behavior of electrical circuits and systems. Students become able to present

many engineering problems with model of electrical circuits and the

mathematical analysis of such model relate to the physical essence of the

process in an electrical circuit. Selected topics in this course provide a

satisfactory compromise between the abundance of matter, especially matter

that is in many ways more attractive for the study, and the necessary

minimum as a traditional approach to the study that cannot be avoided. In

this course the acquired mathematical knowledge and skills, the basic

physical postulates in the field of theoretical electrical engineering, and

modeling capabilities, choice of techniques solving, and verification of the

obtained solutions and conclusions are demonstrated. Therefore, acquired

knowledge and skills represent the foundation on which further professional

upgrade student is based.

Module content

1. Analysis of first order linear time invariant circuits: solving circuits

with known initial values, own response of first order circuits from

the stationary state, complete response of first order circuits.

2. Analysis of second order linear time invariant circuits: natural

response of RLC circuits, forced response of second order circuits,

complete response of second order circuits.

3. Solving response of time invariant circuits using Laplace transform.

4. Oscillating electric circuits. Resonance: simple resonant circuit,

resonant circuit with imperfect inductor, resonant circuit with

imperfect capacitor. Anti-resonance: simple anti-resonant circuit,

anti-resonant circuit with imperfect capacitor, anti-resonant circuit

with imperfect inductor. Complex LC circuits.

5. Solving stationary response of linear time invariant electric circuits to

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complex-periodic excitation signal using Fourier series.

6. Symmetrical components in balanced and unbalanced three phase

systems – matrix interpretation, symmetrical components

unsymmetrical phasors, sequence impedances and sequence

networks, unsymmetrical faults.

7. Two-port circuits – primary and secondary parameters.

8. Passive electrical filters: low and high frequency filters, band pass

and band stop filters, filters with derived cells.

9. Analysis of electric circuits with distributed parameters: transmission

lines.

10. Transition process in circuits with distributed parameters.

Literature

Recommended

1. Bilješke i slajdovi s predavanja (moći će se preuzeti na web site-u

Fakulteta).

2. M. Kušljugić, M. Hajro: "Analiza električnih kola u vremenskom

domenu", Univerzitet u Tuzli, 2005.

3. S. Milojković: "Teorija električnih kola", Svjetlost Sarajevo, 1989.

Additional

1. M. Kušljugić, M. Hajro, "Elementi i metode u analizi električnih

kola", Univerzitet u Tuzli, 2005.

2. B. Reljin, "Teorija električnih kola 1 – rešavanje kola u vremenskom

domenu", Akademska misao, Beograd, 2002.

3. B. Reljin, "Teorija električnih kola 2 – rešavanje kola u

frekvencijskom domenu", Akademska misao, Beograd, 2002.

Didactic methods

Module content delivery is performed through three activities:

Lectures in a lecture hall for all students, presented by lecturer, during which

theoretical – fundamentals aspects of the electrical circuits are presented

followed by stating and solving numerical problems.

Tutorials during which other problems are solved under guidance of the

tutor, and this include solving problems from previous exams with goal of

achieving better understanding of presented theoretic topics and

understanding of concepts for with basic knowledge about all aspects of

electrical circuits and their components.

Laboratory exercises for experimental and virtual demonstration of theoretic

concepts presented during lectures.

Assessment

During the course students earn points according to the following system:

attending classes and tutorials: 10 points, student with more than three

absences from lectures and/or tutorials cannot get these points;

homework and laboratory exercise: maximum of 10 points; assuming

solving 6 homework with each positively evaluated assignment bringing

1 point, and laboratory exercise 2 points;

partial written exams: two partial exams, each positively evaluated

partial exam bringing maximum 20 points.

Partial written exam is structured in the following manner:

answers to simple questions with goal of testing whether student has

knowledge of basic theoretic knowledge – each answer bringing 5

points;

solving one numerical problem with complete solving procedure –

bringing up to 10 points;

solving numerical problem with several offered answers with correct

answer - bringing 5 points (incorrect answers bringing negative points).

Students who earned 40 or more points during the semester will take a final

exam; based on the opinions of professors and tutors final exam can be

achieved and the student with up to 10% fewer points; the exam consists of

discussion of problems from partial exams, home assignments and answers

to simple questions related to course topics. Final oral exam provides

maximum of 40 points. In order to get positive final grade, students must

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earn minimum of 20 points in this exam. Student failing to earn the

minimum must take the makeup oral exam.

Student who earned 20 or more, and less than 40 points during the semester

will have to take the makeup exam. The makeup exam – written and oral is

organized in the same manner as regular exam.

Oral exam will be allowed to take student who in any partial exam earn 10

points or more, or who managed to earn total score of 40 or more points in

written part (regular/makeup exam): the score consists of points earned

through attending classes, homework, taking partial exams and / or pass the

written part of the makeup exam.

Students who gained less than 20 points during the semester must repeat that

course.

Prerequisites

Mathematics for Engineers 1 / 2

Electrical circuits 1

Module title Electronics TK 1

Module code ETF TKO E1 I-2365

Programme ETF-B TC

Module

coordinator Dr Nijaz Hadžimejlić, Associate professor

Teaching staff Dr Nijaz Hadžimejlić, Associate professor

Tarik Uzunovićm MoE, Teaching assistant

Year of study 2

Semester 3


ECTS 4

Lectures 30

Laboratory

exercises 20

Tutorials 0

Workload –

Independent

Study

50

Module outcomes

basic engineering knowledge on analysis, synthesis, defining and

solving problems in analog electronics domain;

ability to determine approach and apply specific engineering

principles, mathematical and computer methods for solving problems

in analog electronic circuits in telecommunications;

one is prepared for industrial requirements in his professional

engagement

Module content

1. Basic amplifiers with bipolar and field effect transistors. DC

amplifiers. Differential amplifiers. AC amplifiers. Amplifier phase

and amplitude characteristics.

2. Feedback. Feedback types. Gain in feedback systems. Positive and

negative feedback.

3. Operational amplifiers. Operational amplifier linear and nonlinear

characteristic realisation.

4. Oscillators. RC oscillators. Piezoelectric oscillators. Saw and

sinusoidal signal generators.

5. Analog to digital and digital to analog signal converters. Analog to

impulse and impulse to analog signal converters.

6. Reference voltage and current sources. Voltage stabilizers.

7. Power supply units. Power supply systems in telecommunication

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systems. Uninterruptible power supply units.

Literature

Recommended

1. Lecture notes and slides (available on Faculty web site);

2. S. Tešić, D. Vasiljević: Osnovi elektronike, Građevinska knjiga,

Beograd, 1997.

Additional 1. O.Mušić, N.Hadžimejlić, M.Musić: Elektronika I – osnovi,

Elektrotehnički fakultet u Sarajevu, Sarajevo, 2011.

Didactic methods

Theoretical lectures and problem solving performed in lecture-hall by the

lecturer (30 classes). Solving problems of analysis and synthesis of basic

semiconductor circuits based on diodes, transistors and operational amplifiers.

The aim is to enable individual students for analyzing and design od simple

electronic circuits for electric signal processing. The aim od laboratory

exercises (20 classes) is to show students real electronic elements and circuits,

and to show the way they work. In these exercises, under guidance of tutor,

using knowledge acquired in lectures, students solve problems in eletronic

circuits for signal processing.

Assessment

Distribution of points is as follows:

Lectures and tutorial attendance is awarded with 10 points,

student which is not present at three classes (any of the class

forms) will not receive points on this basis;

Homework and labwork is awarded with max 10 points; 2

homework assignments, and 8 laboratory assignments will be

given through semester;

Partial exams: there are two written partial exams; each

positively graded partial exam is awarded with max 20 points.

Duration of partial exam is 90 minutes, and it is consisted of:

Simple questions, the goal is to test students basic theoretical

knowledge; max 5 points can be awarded in this part of exam;

Multiple choice questions, max 5 points can be awarded in this

part of exam;

Open answer problem; max 10 points can be awarded in this part

of exam;

Student with less than 20 points at the end of the semester must attend the

course again.

Student with 40 or more points at the end of the semester takes final oral

exam; this exam consists of discussing partial exams, homework and

answering simple course matter questions.

Final oral exam is awarded with maximum 40 points. Student must get at least

20 points to pass this part of exam. Student which does not get 20 points on it

can retake final oral exam.

Student with more than 20 and less than 40 points can take makeup exam.

Makeup exam is consisted of:

Written part, which is basically same as the written partial exam;

student retakes the partial exam which he did not pass (10 or

more points)

Oral part is the same as the final oral exam.

Student with more than 40 points after written makeup exam can take oral part

of makeup exam; the point awarder for attendance and homework are added to

points from exams or makeup exams.

- Final oral makeup exam is awarded with maximum 40 points. Student must

get at least 20 points to pass this part of exam. Student which does not get 20

points on it must attent the course again.

Prerequisites

Electronic elements and circuits ETF EES1260

Module title Information Theory and Source Coding

Module code ETF TKO TIK I-2355

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Programme ETF-B TC

Module

coordinator Dr Mesud Hadžialić, Associate professor

Teaching staff

Dr Mesud Hadžialić, Associate professor

Dr Kenan Suruliz, Full Professor


Year of study 2

Semester 3


ECTS 5

Lectures 35

Laboratory

exercises 6

Tutorials 14

Workload –

Independent

Study

70

Module outcomes

Students acquire basic theoretical and practical knowledge from the area of

information theory and source coding in the extent similar to that in most

universities. First, it is necessary for students to become familiar with basic

probabilistic notions and techniques at the beginning of the course.

On successful completion of this course students should be able

to analyze the fundamental parameters relevant to information theory

to explain and analyze the fundamental limits of data compression

(source coding)

to discuss the fundamental limits of discrete and continuous channels

(channel capacity)

Module content

1. Probability.

2. Random variables, probability distributions. Probability density,

cumulative distribution function. Averages, moments and other

statistical parameters.

3. Transformation of the random variables.

4. Multi-component random variables, joint probability distributions.

Conditional probability distributions.

5. Examples of discrete and continuous probability distributions:

binomial, Poisson, normal, exponential. Properties of normal

probability distribution, central limit theorem.

6. Discrete sources of information, measure of information, entropy.

Properties of entropy.

7. Entropy of the continuous source. Conditional entropy, mutual

information.

8. Memoryless discrete source. Source with memory – Markov

information source, ergodic source. Entropy of Markov source,

higher order sources.

9. Coding, basic concepts. Prefix-free codes, Kraft's inequality.

10. The statistical coding, optimal statistical coding. Memoryless source

coding. Shannon source coding theorem. Shannon-Fano code,

Huffman code.

11. The statistical model of channel. Example: continuous channel with

additive white Gaussian noise. Shannon channel coding theorem,

error correcting codes - basic concepts.

Literature

Recommended

1. Bilješke i slajdovi s predavanja (moći će se preuzeti na WEB siteu

Fakulteta);

2. K. Suruliz i M. Hadžialić, Statistička teorija telekomunikacija,

Elektrotehnički fakultet u Sarajevu, 2009, ISBN 978-9958-629-27-3;

Additional 1. D. Drajić, Uvod u teoriju informacija i kodovanje, Akademska misao,

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2004.

2. Papoulis, Probability, Random variables and Stochastic Processes,

4th edition, McGraw-Hill, New York 1993.

3. J.G. Proakis, Digital Communications, 4th Edition, McGraw-Hill,

New York 2001.

Didactic methods

Lectures are delivered directly in the classroom. Each lecture is followed by

description and solution of examples and problems from the area being

presented in a manner which enables students to master knowledge and skills

required to be gained through this course.

During tutorials, under tutor guidance and supervision, other examples and

problems will be considered and solved so that students thoroughly master

instruments and methodologies of problem solutions.

Laboratory practices, under tutor guidance, have objective for students to

check knowledge gained through lectures using MATLAB software. Practices

are organized so that each student has a personal computer to perform foreseen

activities.

Assessment


Attending classes and tutorials: 10 points, student with more then three

absences from lectures and/or tutorials can not get these points.

Home assignments/tests: maximum of 10 points, assuming solving 5

assignments/tests equally distributed throughout the semester.

Partial exams: two partial exams; each positively evaluated partial exam 20

points.

Each partial exam lasts 90 minutes and it is structured as follows:

Simple questions with goal of testing whether student has basic theoretical

knowledge; students with correct answers to all such questions earn 5

points;

Multiple choice questions; students with correct answers to all such

questions earn 5 points;

One open-answer problem; correct answer earns 10 points.

Students who earned less then 20 points during the semester must retake the

course. Students who earned 40 or more points during the semester will take a

final exam; the exam consists of discussion of problems from partial exams,

home assignments and answers to simple questions related to course topics.

Final oral exam provides maximum of 40 points. In order to get positive final

grade, students must earn minimum of 20 points in this exam. Student failing

to earn the minimum must take the makeup oral exam.

Student who earned 20 or more, and less then 40 points during the semester,

will have to take the makeup exam. The makeup exam is organized in the

following manner:

1. Written part structured similarly to partial written exam, during which

students solve problems in topics they failed on partial exams (less then 10

points);

2. Oral part structured the same as the oral part of the final exam.

Only students who managed to earn total score of 40 or more points in written

part of the makeup exam will be allowed to take the oral part of the makeup

exam, where the mentioned score consists of points earned through attending

lectures, solving home assignments, passing partial exams and passing the

written part of makeup exam.

Oral makeup exam provides maximum of 40 points. In order to get positive

final grade students must achieve minimum of 20 points in this exam. Student

failing to earn the minimum will have to retake the course.

Prerequisites

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Linear Algebra, Engineering Mathematics 1

Module title Signal Theory

Module code ETF TKO TS I-2365

Programme ETF-B TC

Module

coordinator Dr Melita Ahić-Đokić, Full Professor

Teaching staff Dr Melita Ahić-Đokić, Full Professor

Emir Sokić, MSc, Senior Teaching Assistant

Year of study 2

Semester 3


ECTS 6

Lectures 42

Laboratory

exercises 9

Tutorials 14

Workload –

Independent

Study

85

Module outcomes

The students acquire necessary basic knowledge about Discrete and

continuous-time signals and LTI systems within the scope which is accepted

at the most of universities throughout the world. Applying the method of

transformation the signals as time functions into the adequate functional

domain, the analyzing of the effect of the system used for transmission on

the signal transmitted is presented to the students by using the related

mathematical operations. In this way, the students achieve fundamental

engineering skills, knowledge and competence needed to make an approach

to the analysis, synthesis, definition and resolution of the essential problems

in practice, which will provide the access to the methodologies relevant for

understanding of mathematical basis for contemporary systems, used for

digital performance and transmission of signals.

Module content

1. Discrete-time signals and systems: Basic sequences and Sequence

operations. Discrete LTI systems, Properties of LTI systems,

Impulse response and system function.

2. The z-Transform: Definition of the z-transform. Region of

convergence for z-transform, Z-transform properties, Inverse z-

transform. Implementation of the z-transform. Unilateral z-

transform.

3. Continuous-time signals and systems: Classification of continuous-

time signals, Basic continuous-time signals, Continuous linear

time-invariant systems (LTI), Properties of LTI systems, Impulse

and frequency response, Systems block diagram representation.

4. Approximation of the continuous signals: Signal approximation by

set of real and complex signals. Orthogonal representation of

signals. Haar and Walsh set of orthogonal functions.

5. Spectral analysis of periodic signals: Representations of periodic

signals with Fourier Series, Graphic representations of spectrum,

Spectrum of real signals, Properties of Fourier Series continuous-

time signals, Transmission of periodic signals trough LTI systems,

Ideal low pass filter, Average power of a periodic signal power

variation during transmission trough LTI systems, Properties of

Fourier Series.

6. Fourier Transform: The continuous-time F.T. Fourier transform

pair, Impulse response and frequency response, Properties of the

F.T. and F.T. of some basic signals, Hilbert transform, Analytic

function, Amplitude modulation and single-sideband modulation

(SSB).

7. Amplitude impulse modulation: Periodic sampling of continuous

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time signals, Frequency domain representation of sampling,

Sampling theorem, Reconstruction of a bandlimited signal from its

samples, Spectral sampling.

8. Discrete Fourier Transform (DFT): Fast Fourier transform (FFT),

Decimation in time, Decimation in frequency, Implementation of

the discrete Fourier transform, Connection between DFT and z-

transform.

Literature

Recommended

1. Lecture notes and slides (will be available at the Web site).

2. Melita Ahić-Đokić: Signali i sistemi, Elektrotehnički fakultet u

Sarajevu, 2010.

Additional

1. Alan V. Oppenheim, Alan S. Willsky: “Signals and systems”,

Prentice Hall, 1997.

2. Alan V. Oppenheim, Roland W. Schafer: “Discrete-time Signal

and Processing”, Prentice Hall, 1999.

3. Sanjit K. Mitra: «Digital Signal processing», McGraw Hill, 2002.

4. Paolo S.R. Diniz, Eduardo A.B. da Silva, Sergio L.Netto: «Digital

Signal Processing», Cambridge Uniersity Press, 2002.

Didactic methods

Lectures will be conducted directly in the class-room and accompanied by

solving the problem examples which cover course material (36 hours), in a

way that enables students to acquire knowledge and skills which need to be

achieved within the framework of this course.

Laboratory exercises (11 hours) led by tutors, have a goal to enable students

to practically test their knowledge gained during the lectures using Matlab

(signal Processing Toolbox). Fourier Transform and Spectral analysis of

signals, approximation by set of signals and Representations of periodic

signals with Fourier Series, Sampling theorem and aliasing, modulation and

other terms are illustrated in examples processing sound signals, as a

processing standard signals available in electronics laboratory using spectral

analyzer and generator of functions.

A number of examples that accompany the lectures, and samples of exam

problems, students will be solving during the tutorial, with the help of tutors

(13 hours).

Assessment


Attending classes, exercises and tutorials: 10 points;

1. = (10 hours x number of hours of attendance)/ 65 hours.

Homework in the form of Prelabs: a maximum of 8 points is divided up

to 4 home works (2 points each) evenly distributed throughout the

semester. Knowledge gained in the laboratory exercises needs to be

discussed in small groups in front of the tutor at the end of the semester

(2 points);

Partial exams: two partial exams, each partial exam with a maximum of

20 points;

Final oral exam that provides maximum 40 points

A student, who achieved less than 20 points during the semester, must enroll

the course again. To be able to take the final oral examination, the student

must collect 40 or more points during the semester through attending

classes, homework/ prelabs and partial exams. On each partial examination

the student must achieve a minimum of 10 points.

To achieve a positive final grade, student must in final oral exam achieve a

minimum of 20 points. The oral exam consists of questions related to the

course topics.

A student, who collects 20-40 points during the semester, attends the

repeated exam. The repeated exam is structured as a regular partial exam,

where students solve only the part of the exam that has not been passed.

Repeated final oral exam is structured in the same way as the final oral

exam on a regular schedule.

Repeated final oral examination can be taken by the student who, after

partial exams, managed to achieve a total of 40 or more points through

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attending classes, homework, prelabs and partial exams.

On the repeated final oral exam student may earn a minimum of 20 points.

To achieve a positive final grade the student has to achieve a minimum of

60 points. Students who did not achieve this minimum must repeat the

course.

Prerequisites

Mathematics for Engineers 2

Module title Operating Systems

Module code ETF TKI OS I-2350

Programme ETF-B RI, TC

Module

coordinator Dr Samir Ribić, Assistant Professor

Teaching staff Dr Samir Ribić, Assistant Professor

Alvin Huseinović, MoE, Teaching Assistant

Year of study 2

Semester 3

Module type Elective

ECTS 5

Lectures 38

Laboratory

exercises 22

Tutorials 0

Workload –

Independent

Study

65

Module outcomes

After successful completion of the course, student will be able to:

Identify the major components of an operating system and explain

their functions individually.

Discuss the operating system features required for a particular target

application.

Understand the various levels of system and application software.

Get familiar with the major Operating System services such as file

systems, memory management, process management, device control

and user interface.

Understand how design decisions in Operating Systems affect users

of the system.

Use and modify operating systems.

Module content

1. Introduction: Role, functions and structure of operation system,

historical development of operation systems: batch,

multiprogramming, time sharing

2. Structure of computer system, interrupts and interrupt management,

input-output operations, dual mode of processor work,

3. Structure of operating system: layered structure of operation system,

monolithic and microkernel, functional organization of UNIX

operation system.

4. Resource management, I/O manager, methods for stoppage

management, banker's algorithm.

5. Process management: Concept and condition of processes context

switching, operation over processes, process representation, threads

and thread management, process management in UNIX/Windows,

inter-process communication using message transfer: direct, indirect,

buffering, usage of pipes and signals.

6. Shared memory usage: process synchronization problem, critical

section and mutual exclusion, semaphores and hardware techniques

for synchronization: test and set.

7. Processor scheduling: General concepts and criteria of distribution,

dispatcher scheduling algorithms: FCFS, SJF, priority, Round Robin,

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MFQ, scheduling examples from UNIX and WINDOWS operation

systems.

8. Memory management: Loaders, general concepts address translation

from logical to physical, memory allocation, continual: with one or

more partitions, static and dynamical and non-continuous: paging and

segmenting, virtual memory, memory management in UNIX.

9. File management: Structures of file system, free space management,

file and directory implementation, file systems in Unix and Windows

operation systems: logical organization of files, file/directory access

management, file protection,

10. User interface, textual, graphical and network

11. DOS, Windows and Linux system architecture, using customizing i

and participating in development of Linux systems

Literature

Recommended

1. Slides and lecture notes available at web page and in printed form

2. Silberschatz A., "Operating System Principles", 7th Edition, Addison

Wesley, 2006.

Additional

1. Ribić S, “Linux distribucija BHLD”, priručnik, Elektrotehnički

fakultet u Sarajevu, 2011

2. Đorđević B., Pleskonjić D, Maček N, “Operativni sistemi, teorija,

praksa i rešeni zadaci”, Mikro knjiga, Beograd 2005

3. Tanenbaum A., "Modern Operating Systems", 3rd Edition Prentice

Hall, 2008.

4. Stallings W., "Operating Systems: Internals and Design Principles,”,

6th

Edition, Prentice Hall, 2009.

Didactic methods

Lectures, self-usage of literature, numerical problem solving, practical usage

of operating systems

The lectures include basic operating systems principles. The students are

informed about different kernel subsystems and their relationships. In addition

to basic principles of the operating systems, the lectures include quantitative

principles that illustrate introduced concepts and algorithms. The labs include

workings with operating systems from user and system perspective. The

homework might include additional examples and problems closely related

with lectures or contributions in open source OS development. Therefore labs

and home works contribute to students competencies of operating systems

understandings and competences for usage and customizing of operating

systems.

Assessment

The final score is obtained as follows:

10 points for attendance and activities during lecture and laboratory

exercises

10 points for homeworks. The students choose beween problem-

solving assignements or group project in development of local

operational systems

20 points first partial written exam, problem solving, 10 points is

considered pass

20 points second partial written exam, problem solving, 10 points is

considered pass

40 points and a final oral exam (where 15 points is considered passed

the exam), checking the facts. Only the students who have achieved

the above criteria by at least 40 points can participate. Students who

did not pass required parts of the course have two chances for

remedial exam.

Final score: Below 20 points retake course, score 21-54 grade 5, score 55-64

grade 6, score 65-74 grade 7, score 75-84 grade 8, score 85-94 grade 9, score

95-100 grade 10.

Prerequisites

Fundamentals of Computing

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Module title Engineering Economics

Module code ETF TKI IE I-2350

Programme ETF-B EE, TC

Module

coordinator Dr Mirsad Raščić, Full Professor

Teaching staff Prof. dr. Mirsad Raščić


Year of study 2

Semester 3


ECTS 5

Lectures 40

Laboratory

exercises 0

Tutorials 20

Workload –

Independent

Study

60

Module outcomes

Through this course the student will gain knowledge of:

Basic principles of economic analysis

Micro-and macro-economic models

Markets full competition

The need and demand

Theory of production

Cost theory

Classification of marketable condition

Monopoly and oligopoly

Traditional indicators of business performance

Modern business efficiency indicators

Module content

1. Definitions and instruments of economic analysis: Economic goods.

Economic principles. Consumption and production. Manufacturing

process. Division of labour. Value of economic goods. Monetary and

real value.

2. Market: laws of supply and demand. Analyses of laws of supply and

demand. Elasticity of demand. Laws of supply on competitive and

monopolistic market.

3. Company motivation: Companies and production factors - the profit

and continuity, market expansion, Human factors, Trade union

relations, political relations. Marketing factors. Owner motivation.

4. Product production and distribution factors: Production factors.The

additional value and net product. Weakening: problem types.

Production factor income. The total internal income.

5. Company financing funds: financing of investment. Saving as a

factor. Savings accumulation methods. Forms of financing. Stocks.

Self-financing. Bonds. Bank loans and leasing. Loans between

companies. Public financing.

6. Forms of private companies: Principles of labor division.

Responsibility for the property. Ownership management. The

individual companies. Merging (persons, capital, finance). Common

investment funds. Aspects of internal organization.

7. Economical optimizations of productive factors.

8. Company balance.

9. Company in competitive and monopolistic market.

10. Cost/Benefit analysis of the private companies.

11. Net actual value, Equivalent annual value.

12. Internal income level.

13. Taxes.

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14. Cost/Benefit analysis of the public companies.

Literature

Recommended 1. Notes and slides from lectures (See Faculty WEB Site)

2. M.Raščić: Inženjerska ekonomika, ETF Sarajevo, 2012

Additional

1. Dr. Šunjić-Beuss Mira,Dr. Martinović Danijela: Ekonomika

preduzeća

2. Mr. Armin Avdić: Mikroekonomija

Didactic methods

The course is conducted through direct lectures and tutorials. Teacher of the

class is held for all students who are listening to a course using modern

didactic aids.

Tutorials take an assistant and they have a dual character. One part of the

instructional time is used to analyze the themes that has been made in the class

room lectures, and then solve concrete examples and analysis carried out in

certain areas.

Assessment


Attendance 10 points (maximum) Student with more than three absences from lectures and/or tutorials/ lab

exercises will not be eligible to get these points.

First Partial Exam 20 points (maximum) First Partial exam is 90 minutes long written exam. To pass this exam it is

necessary to earn 10 points or more.

Second Partial Exam 20 points (maximum) Second Partial Exam is 90 minutes long written exam. To pass this exam it is


Group Project 20 points (maximum) To pass Group Project it is necessary to earn 10 points or more.

Final Exam 30 points (maximum) Final Exam is oral exam organized for the students passing both Partial Exams

and passing Group Project exam. Students passing Makeup Exams and Group

Project exam can attend to the Final Exam. To pass Final Exam it is necessary

to earn 15 or more points. Students earning less than 15 points in Final exam

must re-take this course.

Makeup Exam Makeup Exam is organized for student not passing one or two Partial Exams.

MakeupEexams is 90 minutes (for one Partial exam) or 180 minutes (for two

Partial exams) written exam.

Marks Marks are related to the earned points according to the following rules:

Mark 10: 91 to 100 points





Prerequisites

Module title Fundamentals of Electrical Power Systems

Module code ETF TKI OES I-2350

Programme ETF-B PE, TC

Module

coordinator Dr Salih Sadović, Full Professor

Teaching staff

Dr Salih Sadović, Full Professor

Dr Smajo Bišanović, Assistant Professor


Vedad Bećirović, MSc, Senior Teaching Assistant

Year of study 2

Semester 3

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ECTS 6

Lectures 42

Laboratory

exercises 14

Tutorials 14

Workload –

Independent

Study

30

Module outcomes

This course provides an introduction to the fundamental areas on which all

engineering activities on the planning, design, construction, exploitation and

control of the electric power system are based. Students are introduced to the

basic principles of the functioning of the electric power system elements, their

importance, characteristics, interconnections, interactions between them, as

well as influence on other systems and facilities, techniques of modeling

elements and systems as whole. Particular emphasis is placed on

understanding the physical processes, their mathematical interpretations and

possibilities to make the correct conclusions regarding the influential

parameters relevant to a given problem. Acquired knowledge and skills enable

students to solve many problems in theory and practice, but also offer a basis

for deeper and more effective studying of electrical power systems.

Module content

1. Energy, conversion of energy. Functional classification and

functional components of the electric power system.

2. Synchronous generators, induction motors, electricity consumers.

3. Power and measurement transformers, transmission lines and cables,

reactors, capacitor banks.

4. Calculations of voltage drop and power losses in the radial networks.

5. Reactive power and energy compensation.

6. Elements and equipment in transformer substations and switchgears.

7. The basic elements of the overvoltage phenomena, security and

protection techniques.

8. Basic classification and functions of protection devices.

9. Renewable energy sources.

10. Energy efficiency – rational utilization of energy.

11. Electromagnetic compatibility, security measures and techniques.

12. Elements and basic calculations of low-voltage installations.

Literature

Recommended 1. Notes and slides from lectures (see Faculty web site).

2. S. Sadović: Analiza elektroenergetskih sistema, ETF Sarajevo, 2004.

Additional

1. M. Weedy, B. J. Cory: Electric Power Systems, 1998.

2. M. E. El-Hawary: Introduction to Electrical Power Systems, 2008.

3. J. J. Grainger, W. D. Stevenson: Power System Analysis, 1994.

Didactic methods


Lectures in a lecture hall for all students, presented by lecturer, during which

theoretical – fundamentals aspects of the electric power systems are presented

followed by stating and solving numerical problems.

Tutorials during which other problems are solved under guidance of the tutor,

and this include solving problems from previous exams with goal of achieving

better understanding of presented theoretic topics and understanding of

concepts for with basic knowledge about all aspects of electrical power system

and his components.

Laboratory exercises for experimental and virtual demonstration of theoretic

concepts presented during lectures using MATLAB environment.

Assessment


Attendance 10 points (maximum)

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Student with more than three absences from lectures and/or tutorials/ lab

exercises will not be eligible to get these points.

First Partial Exam 20 points (maximum)

First Partial Exam is 90 minutes long written exam. To pass this exam it is


Second Partial Exam 20 points (maximum)

Second Partial Exam is 90 minutes long written exam. To pass this exam it is


Laboratory Exercises Exam 20 points (maximum)

To pass Laboratory Exercises Exam it is necessary to earn 10 points or more.

Final Exam 30 points (maximum)

Final Exam is oral exam organized for the students passing both partial exams

and passing Laboratory Exercises Exam. Students passing Makeup Exams and

Laboratory Exercises Exam can attend to the Final Exam. To pass Final Exam

it is necessary to earn 15 or more points. Students earning less than 15 points

in Final exam must re-take this course.

Makeup Exam

Makeup Exam is organized for student not passing one or two Partial Exams.

Makeup exams is 90 minutes (for one Partial Exam) or 180 minutes (for two

Partial Exams) written exam.

Marks

Marks are related to the earned points according to the following rules:






Prerequisites

Module title Statistical Signal Theory

Module code ETF TKO STS I-2470

Programme ETF-B TC

Module

coordinator Dr Mesud Hadžialić, Associate professor

Teaching staff

Dr Mesud Hadžialić, Associate professor

Dr Kenan Suruliz, Full Professor


Year of study 2

Semester 4


ECTS 6

Lectures 42

Laboratory

exercises 7

Tutorials 21

Workload –

Independent

Study

80

Module outcomes

Students acquire basic theoretical knowledge necessary for study of

contemporary digital communication systems: non-deterministic approach to

the study of signals and noise, extracting signal from noise using correlation,

filtering and prediction; basics of queuing theory.

On successful completion of this course students should be able

to use tools and techniques of statistical detection and signal extraction

when signal is corrupted by noise, in order to assess limits of signal to

noise ratio;

to use tools and techniques for analysis of queuing systems, in order to

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assess system parameters decribing the behavior of information units in

networks.

Module content

1. Review of basic facts about random variables and probability

distributions. The characteristic function, uses. Characteristics of multi-

component random variables, especially normal.

2. Poisson flow.

3. Stochastic processes. Correlation functions. Examples: The Poisson

stochastic process, Markov processes, normal (Gaussian) processes.

4. Stationary and ergodic processes.

5. Spectral decomposition of stationary stochastic processes, relationship

between power spectral density and autocorrelation function of process.

Passing stationary stochastic process through linear system. Quadrature

filter, decomposition of stochastic process into quadrature components.

6. Spectral decomposition of nonstationary stochastic processes. Power

spectral density of digital signals.

7. Random noise: thermal noise, shot effect -Schottky noise, 1/f noise,

narrowband noise.

8. Extracting signal from the noise – matched and optimal filtering.

9. Statistical theory of signal detection, decision criteria. Correlation

receiver.

10. Elements of queuing theory.

Literature

Recommended

1. 1. Notes and slides from lectures (See Faculty WEB Site);

2. K. Suruliz i M. Hadžialić, Statistička teorija telekomunikacija,


Additional

1. D. Drajić, Uvod u statističku teoriju telekomunikacija, Akademska

misao, Beograd 2002.

2. Papoulis, Probability, Random variables and Stochastic Processes,

4th edition, McGraw-Hill, New York 1993.

3. M. Merkle, Verovatnoća i statistika za inženjere i studente tehnike,

Akademska misao, Beograd 2002.

4. J.G. Proakis, Digital Communications, 4th Edition, McGraw-Hill,

New York 2001.

Didactic methods

Lectures are performed directly in an aula and are followed by solution of

characteristic examples in a manner which enables students to master

knowledge and skills required to be gained through this course.



instruments and methodologies of problem solutions. The goal is to contribute

to developing of abilities of students in the solving of practical problems and

managing in concrete situations.

Laboratory practices, under tutor guidance, have objective for students to

check knowledge gained through lectures using MATLAB software. Practicals

are organized so that each student has a personal computer to perform foreseen

activities.

Assessment





assignments/tests equally distributed throughout the semester.


points.

Each partial exam lasts 90 minutes and it is structured as follows:



points;

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One open-answer problem; correct answer earns 10 points.










following manner:

Written part structured similarly to partial written exam, during

which students solve problems in topics they failed on partial exams

(less then 10 points);

Oral part structured the same as the oral part of the final exam.






Oral makeup exam provides maximum of 40 points. In order to achieve

positive final grade students must earn minimum of 20 points in this exam.

Student failing to earn the minimum will have to retake the course.

Prerequisites

Linear Algebra, Engineering Mathematics 1

Module title Electronics TK 2

Module code ETF TKO E2 I-2450

Programme ETF-B TC

Module

coordinator Dr.Nijaz Hadžimejlić, Associate professor

Teaching staff Dr.Nijaz Hadžimejlić, Associate professor

Tarik Uzunović, MoE, Teaching assistant

Year of study 2

Semester 4


ECTS 5

Lectures 30

Laboratory

exercises 20

Tutorials 0

Workload –

Independent

Study

75

Module outcomes

basic engineering knowledge on analysis, synthesis, defining and solving

problems in digital electronics domain;

ability to determine approach and apply specific engineering principles,

mathematical and computer methods for solving problems in digital

electronic circuits in telecommunications;

one is prepared for industrial requirements in his professional engagement

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Module content

1. Basic logic elements. Logic circuits.

2. Combinatory logic. Encoder-Decoder. Multiplexer-

3. Demultiplexer. Diode matrix.

4. Sequential logic. Bistable, astable and monostable multivibrator.

Flip-Flops. Registers. Counters. Frequency

dividers.

5. Memories. ROM, PROM, EPROM, EEPROM and RAM.

6. Half adder. Full adder.

7. Arithmetic circuits. Digital comparators, adders, subtracters,

multipliers and dividers. Arithmetic logic unit.

8. Logic functions minimization methods. Logic sinthesys

based on minimal forms.

9. Programmable Logic Devices (PLD). Programming PLD

components.

10. Designing of systems with micro-controllers.

Literature

Recommended

1. Lecture notes and slides (available on Faculty web site);

2. S. Tešić, D. Vasiljević: Osnovi elektronike, Građevinska knjiga,

Beograd, 1997.

Additional 1. Millman, J., and Halkias, Ch.C.: “Integrated Electronics: analog and

digital circuits and systems”, Mc Graw Hil 1972.

Didactic methods

Theoretical lectures and problem solving performed in lecture-hall by the

lecturer (30 classes). Solving problems of analysis and synthesis of basic

semiconductor circuits based on diodes, transistors and operational amplifiers.

The aim is to enable individual students for analyzing and design od simple

electronic circuits for electric signal processing. The aim od laboratory

exercises (20 classes) is to show students real electronic elements and circuits,

and to show the way they work. In these exercises, under guidance of tutor,

using knowledge acquired in lectures, students solve problems in eletronic

circuits for signal processing.

Assessment

Distribution of points is as follows:

Lectures and tutorial attendance is awarded with 10 points, student

which is not present at three classes (any of the class forms) will not

receive points on this basis;

Homework and lab work is awarded with max 10 points; 2

homework assignments, and 8 laboratory assignments will be given

through semester;

Partial exams: there are two written partial exams; each positively

graded partial exam is awarded with max 20 points.

Duration of partial exam is 90 minutes, and it is consisted of:

Simple questions, the goal is to test students basic theoretical

knowledge; max 5 points can be awarded in this part of exam;

Multiple choice questions, max 5 points can be awarded in this

part of exam;

Open answer problem; max 10 points can be awarded in this part

of exam;

Student with less than 20 points at the end of the semester must attend the

course again.

Student with 40 or more points at the end of the semester takes final oral

exam; this exam consists of discussing partial exams, homework and

answering simple course matter questions.

Final oral exam is awarded with maximum 40 points. Student must get at least

20 points to pass this part of exam. Student which does not get 20 points on it

can retake final oral exam.

Student with more than 20 and less than 40 points can take makeup exam.

Makeup exam is consisted of:

Written part, which is basically same as the written partial exam;

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student retakes the partial exam which he did not pass (10 or more

points)

Oral part is the same as the final oral exam.

Student with more than 40 points after written makeup exam can take oral part

of makeup exam; the point awarder for attendance and homework are added to

points from exams or makeup exams.

Final oral makeup exam is awarded with maximum 40 points. Student

must get at least 20 points to pass this part of exam. Student which does

not get 20 points on it must attend the course again.

Prerequisites

1. Electronic elements and circuits ETF EES1260

2. Electronics TK1 TKO E1 2350

Module title Fundamentals of Optoelectronics

Module code ETF TKO OO I-2450

Programme ETF-B TC

Module

coordinator Dr Melita Ahić-Đokić, Full Professor

Teaching staff Dr Nasuf Hadžiahmetović, Assistant Professor

Mirza Milišić. MSc, Senior Teaching Assistant

Year of study 2

Semester 4


ECTS 5

Lectures 36

Laboratory

exercises 7

Tutorials 7

Workload –


Module outcomes

Course has a goal to present basic concepts from optoelectronics

necessary for the understanding of creation, transmission, reception and

processing of optic signals. Besides, students need to acquire essential

knowledge from optic communications necessary for design, realization

and maintenance of optic communications systems.

Module content

1. Light emission and absorption: types of electron emission

(thermionic, auto-electronic, secondary, photo-electronic,

exoelectron emission); Schrödinger equation.

2. External and internal photo-effect: mechanism of this

phenomenon, photo-conductivity, photo-EMF, types of

absorption in semiconductors (fundamental absorption, dopant

absorption, acceptor-donor absorption, absorption of free

charge carriers, crystal lattice absorption, exciton absorption,

plasmonic absorption), photo-elements, photo-resistors, noise

types in photo-resistors.

3. Liquid crystals: mesomorphic state, types of liquid crystals,

electric properties of liquid crystals, applications of liquid

crystals, liquid crystal based indicators, liquid crystals as

indicators of temperature.

4. Optical waveguides: concept, types, propagation in

waveguides, dispersion systems, waveguides with circular

cross-section.

5. Optical fibers: concept and types, step-index fiber, graded-index

fiber, basic characteristic of modes in optical fibers, fiber optic

manufacturing technology.

6. Fiber optic cables: cable types, production of fiber optic cables,

constructions and appearances curvature by the cabling of optic

fibers.

7. Signal attenuation in optical fiber: concept, causes of

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attenuation, attenuation curve, absorption in material, material

dispersion, scattering in material, waveguide dispersion,

radiation due to fiber bending, effects dependent on fiber

coating.

8. Group delay and dispersion in step-index optical fibers:

concept, dispersion coefficient, intermode dispersion, material

dispersion and waveguide dispersion.

9. Spectral line width and open resonators: Lorentz curve, open

resonators, calculation of open resonator, purpose and quality

of open resonator.

10. Optical transmitters: lasers and LEDs as optical transmitters.

11. Optical receivers: PIN photodiodes, APD photodiodes, receiver

sensitivity.

12. Fiber optic transmission systems: digital lightwave system

structure, point-to-point transmission systems, link budget of

the point-to-point transmission system and dependence of link

length on transmission rate.

Literature

Recommended 1. M.Cvijetić, „Digitalne svjetlovodne telekomunikacije“,

Beograd 1988.

2. Bilješke i slajdovi s predavanja (WEB strana Fakulteta).

3. D.Milatović, „Optoelektronika“, Sarajevo 1987.

Additional 1. J.A.Buck: Fundamentals of Optical Fibers, USA 1995.

2. J.C.Palais: Fiber Optic Communications, New Jersy 1998.

3. S.O.Kasap: Optoelectronics and Photonics, New Jersy 2001.

4. O.Wada: Optoelectronic Integration, Kluwer Academic

Publishers 1994.

Didactic methods

Lectures are presented directly in lecture-hall. Throughout tutorial,

under guidance of tutor, typical problems are solved, including

problems from previous exams. Throughout laboratory exercises, under

guidance of tutor, experiments are carried out in laboratory. Lectures,

slides, tutorials, preparations for lab exercises, and additional

information are available at Faculty Courseware: http://c2.etf.unsa.ba.

Assessment

The contribution of all activities are rated according to the following

scale:

Activity Max. points to be awarded

Regular attendance

HW / LE

1st midterm exam

2nd

midterm exam

Final exam

10

10

20

20

40

Regular attendance means that student must be present on all forms of

the module’s delivery. Students with a maximum of three unexcused

absences during the semester earn 10 points.

By solving of homework(s) and/or laboratory exercises (HW/LE),

student can earn up to 10 points.

Midterm exam is considered to be passed by a student if he earned at

least 10 points (out of 20). First midterm exams are in the 8th

week, and

second midterm exams are in the 16th

week of the semester. Students

who failed first and/or second midterm exam are allowed to go through

the makeup exam at the end of the semester. Second makeup exam

(extended makeup exam) takes place in September prior to the

beginning of new academic year.

The final exam takes place in the first week after second midterm

exams. Makeup final exam takes place in the first week after makeup

exams. Second final exam takes place in the first week after second

makeup exam.

The midterm and makeup exams are written. Duration of midterm and

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makeup exams is from 90 to 120 minutes. During midterm and makeup

exams students solves the problems that are of the same and/or similar

type as those solved during the lectures and tutorials.

Final exam can be written or oral and most frequently is in written form.

Recommended prerequisites


Physics for Engineers 2

Electronic Elements and Circuits

Electromagnetic Field Theory

Electrical Circuits 2

Electronics TK1

Module title Antennas and Wave Propagation

Module code ETF TKO APT I-2460

Program ETF-B TC

Module coordinator Dr Moamer Hasanovic, Assistant Professor

Teaching staff Dr Moamer Hasanovic, Assistant Professor

Mirza Hamza, MSc, Senior Assistant

Year of study 2

Semester 4


ECTS 5

Lectures 42

Laboratory exercises 11

Tutorials 7

Workload –


Module outcomes

Formulate basic principles of antenna theory based on Maxwell’s equations.

Define antenna parameters and classify various types of antennas according to

the previously discussed antenna parameters. Describe different types of

antennas, present their basic properties, and then compare with other antenna

geometries. Apply learned theoretical knowledge during practical antenna

synthesis (modeling and simulation) in laboratory. Demonstrate ability to

apply acquired antenna design skills in a wider context of designing,

structuring and exploitation of systems used of the transfer of information

(communication systems).

Module content

1. Introduction to Antennas and Transmission Line Theory. Definition

and classification of antennas. How antennas radiate. Basics of

transmission line theory

2. Basic Principles of Antenna Theory. Application of Maxwell’s

equations in antenna theory. Hertzian dipole.

3. Antenna Parameters. Radiation diagram. Directivity, efficiency and

gain. Polarization. Antenna impedance. Frequency band and other

parameters

4. Antennas in Communication Links. Frii’s transmission formula.

5. Dipole Antennas. Line radiation sources. Short dipole. Straight

dipole of arbitrary length. Antennas above infinite ground plane.

Vee- and folded dipole.

6. Antenna modeling and Simulation. Introduction to simulation tools -

Ansoft HFSS and Sonnet.

7. Antenna Arrays. Calculating array factor for linear antenna arrays.

Linear antenna arrays with uniform excitation and equally spaced

elements. Linear antenna arrays with arbitrary antenna elements.

Yagi Uda antenna.

8. Loop Antennas. Duality principle. Small loop antenna. Loop antenna

with arbitrary dimensions.

9. Microstrip Antennas. Microstrip antenna elements. Rectangular

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microstrip antenna. Circular microstrip antenna. Microstrip antenna

arrays.

10. Broadband Antennas. Helicoidal antenna in normal and axial mode.

Biconical antenna with infinite length and finite length. Disc-conical

antenna.

11. Frequency Independent Antennas. Spiral antenna with equal angles.

Archimedean spiral antenna. Conical spiral antenna with equal

angles. Log-periodic antennas. Bow-tie antenna and its variations.

Log-periodic dipole antenna array (LPDA)

12. Aperture Antennas. The uniform rectangular aperture. Rectangular

horn antenna in H-plane and E-plane. Pyramidal horn antenna.

13. Reflector Antennas. Parabolic reflector antenna. Dual parabolic

reflector antenna. Other types of reflector antennas. Antennas used to

feed reflector antennas.

14. Wave propagation. Sources, properties and classification of EM

radiation. Atmosphere content, properties of radio waves. Effects of

various obstacles, Earth’s ground, and ionosphere on EM wave

propagation: reflection, refraction, dispersion. Fresnel zones, fading.

Literature

Recommended

1. R. E. Collin, “Antennas and Radiowave Propagation”, McGraw-Hill

College (February 1, 1985), ISBN: 0070118086.

2. C. A. Balanis, “Antenna Theory: Analysis and Design”, Wiley-

Interscience (3. issue), ISBN: 047166782X.

Additional 1. J. Volakis, “Antenna Engineering Handbook”, McGraw-Hill

Professional (4. issue), ISBN: 0071475745.

Didactic methods

The course is being conducted through direct classroom lectures. After the

theoretical part, the lecturer covers multiple examples, so that the course

participants develop practical antenna skills and methods based on previously

introduced theoretical concepts. During tutorials, under the lead of the tutor,

various problems are solved, including those from previous year’s exams;

activities are organized so that, while conducting the teaching process, various

examinations in a form of homework and midterm exams are given. This way,

the students are continuously examined for their ability to acquire knowledge

and skills required in this course.

Assessment

Throughout the course, each student collects the points according to the

following system:

attendance to the lectures, tutorials and labs (10 points)

homework and lab reports (10 points)

two written midterm exams (2 x 20 points)

oral exam (40 points)

Description and goals of midterm exams (90 – 120 min):

answer simple questions directed toward examining the basic theoretical

knowledge

solve a practical numerical problem

solve a few multiple-choice questions

Description and goals of oral exam (60 – 120 min):

discuss numerical problems covered on midterm exams and homework

answer theoretical questions related to the material covered in the course

A student, who collected less than 20 points throughout the regular semester,

must repeat the course. If the student collected 40 or more points, (s) he is

eligible to take oral final exam.

Oral final exam carries a maximum of 40 points. In order to pass the course, a

student must achieve a minimum of 15 points on the oral exam. A student who

does not achieve this minimum, is required to take makeup oral exam in order

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to pass the course.

Prerequisites

Solid knowledge of material covered in the courses Engineering Mathematics,

Theory of Electrical Circuits, and Theory of Electromagnetic Fields

Module title Telecommunication Techniques 1

Module code ETF TKO TT1 I-2480

Study ETF-B

Module

coordinator Dr Mesud Hadžialić, Associate Professor

Teaching staff Dr Mesud Hadžialić, Associate Professor

Kenan Turbić , MoE, Teaching Assistant

Year of study 2

Semester 4


ECTS 6

Lectures 52

Laboratory

exercises 14

Tutorials 14

Workload –

Independent

Study

70

Module outcomes

Students acquire basic theoretical knowledge needed for understanding

analysis of modern digital telecommunication systems: baseband and passband

system models for transmission in channels with Gaussian noise.

Upon successful completion of the course, students should be able to:

understand and analyze system parameters relevant for transmission of

information content over discrete and linear continuous-time channels,

using A/D and D/C conversion

estimate theoretical bounds for system parameters and quality parameters

in continuous-time channels and controlled ISI environment

analytically estimate parameters relevant for performance measure of

communication systems with optimal receiver for binary and M-ary

transmission

Module content

1. Information and telecommunication systems: Information

characteristics of process management in telecommunication

networks. Model of the digital telecommunication system.

Information sources and signals. Statistical characteristics of

information-carrying signal. Spectrum. Discrete channel. continuous-

time channel. Channel capacity and information volume. The discrete

channel (BSC - Binary Symmetric Channel).

2. Multi-user communication: Multiple access techniques: TDMA,

FDMA and CDMA.

3. Analog-digital conversion: Discrete representation of continuous-

time signals. Quantization. Pulse-code modulation (PCM). Delta

modulation. Differential PCM.

4. Baseband transmission of digital signals: Line signals and their

spectral characteristics. Nyquist criterion for ISI free (Inter-Symbol

Interference) communication. Eye diagram. Extraction of

information-carrying signal from noisy received signal by filtering

and correlation: the optimal Wiener filter, matched filter.

5. Passband transmission, linear digital modulations: ASK. FSK. PSK.

QAM.

6. Vector representation of continual signals: Discrete representation of

continual signals and geometric interpretation. Gram-Schmidt

procedure.

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7. Optimal receiver in the channel with the Gaussian noise: Binary

transmission, M-ary transmission. Error probability for antipodal and

orthogonal signal transmission.

8. Transmission with errors: PCM transmission with errors. Predictive

coding. Linear predictive encoder.

9. Digital transmission in band-limited channels: Controlled ISI. Linear

equalization.

Literature

Recommended

1. Slides and lecture notes (available at faculty website);

2. K. Suruliz i M. Hadžialić, Statistička teorija telekomunikacija,


3. M. Hadžialić, Telekomunikacijske tehnike, book in preparation;

4. B. P. Lathi, Modern Digital and Analog Communication Systems,

Oxford University Press, New York 1998.

Additional

1. John G. Proakis, Masoud Salehi, Communication Systems

Engineering, Prentice-Hall, 1998;

2. John G. Proakis, Masoud Salehi, Contemporary Communication

Systems Using MATLAB, Brooks/Cole, 2000.

Didactic methods

Lectures are performed in a lecture hall. Each lecture is followed by examples

of specific problems in the area of the topic, so students would master the

required knowledge and skills. Through tutorials, led by teaching assistant,

additional problems are being solved in order to obtain skills and methodology

of problem solving, which afterwards has for a goal gaining the ability of

solving practical problems and dealing with specific situations. Laboratory

exercises, under teaching assistant's guidance, have the objective of verifying

the facts and knowledge gained through lectures, using MATLAB software

package (Signal Processing Toolbox and Communication Toolbox). These

exercises are organized so that each student has a personal computer to

perform laboratory activities. Part of the laboratory exercises will be

performed in the Laboratory for Telecommunications, equipped with

equipment needed for spectrum and constellation diagram analysis of digital

modulated signals.

Assessment

During the course students acquire points according to the following system:


absences from lectures and/or tutorials and/or laboratory exercises can not get

these points.

Home assignments: maximum of 10 points, assuming solving 5 to 10

assignments equally distributed throughout the semester, with the maximum

of 5 points per assignment; Short quizzes can be used to assess the work on

assignments. Knowledge obtained through laboratory exercises is assessed by

teaching assistant.

Midterm exams: two midterm exams; each positively evaluated midterm exam

giving 20 points. Students are given 90-120 minutes to take the midterm exam

which is constructed from the following:

short questions

questions with multiple answers

problem sets

Minimum of 10 points is required for students to take the final exam. Students

who gained less then 20 points during the semester must repeat the course (re-

enroll).

Students who gained 40 or more points during the semester can take the final

exam, consisted of simple problem sets and short questions related to the

course topics. Final oral exam gives maximum of 40 points. In order to

complete the course, students must gain a minimum of 15 points at this exam.

Student failing to do so, must take the oral makeup exam.

Students who gained 20 or more, and less than 40 points during the semester,

have to pass the makeup exam. The makeup exam is organized in the

following manner:

written part structured same as midterm exam, during which students solve

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problems related to topics in which they did not achieve required grade (10

or more points) taking the midterm;

oral part structured the same as the oral part of the final exam.

Only students who managed to achieve total score of 40 or more points in

written part of the makeup exam are allowed to approach oral part of the

makeup exam, where the mentioned score is consisted of points gained

through attending lectures, solving home assignments, midterm exams and the

written part of makeup exam. Oral makeup exam gives the maximum of 40

points. In order to pass the course, students must achieve minimum of 20

points at this exam. Students failing to achieve the minimum have to re-enroll

for this course.

Prerequisites

Linear algebra and geometry


Information theory and source coding

Module title Object Oriented Analysis and Design

Module code ETF TKI OOAD I-2440

Programme ETF-B CI, TC

Module

coordinator

Dr Dženana Đonko, Associate Professor

Teaching staff

Dr Dženana Đonko, Associate Professor

Teo Eterović, MoE, Teaching Assistant

Nadina Zaimović, MSc, Teaching Assistant

Year of study 2

Semester 4


ECTS 5

Lectures 38

Laboratory

exercises 22

Tutorials 0

Workload –

Independent

Study

65

Module outcomes

At the end of this course students have the following knowledge, skills and

competencies:

The ability to analyze, identify and define the requirements of the real

environment systems that require computing support

The ability to design and implement a computer-based system,

including the necessary programming solutions

The ability of individual and team work, organizing and executing

projects

Good professional knowledge in the field of software engineering

related to the analysis, design and implementation

The ability to apply an iterative software development process

Understanding the basic object-oriented concepts

Understanding the basic steps of object-oriented analysis and design.

Practical knowledge of UML diagrams and notations

The ability to apply object-oriented patterns

The ability to build an object-oriented model for the system

The ability to associate an object-oriented analysis and actual

programming

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Module content

1. Basic concepts of object orientation.

2. Software development process and basic development methodologies

3. Introduction to the fundamental concepts of UML, UML principles

and diagrams, UML and modeling of object-oriented systems.

4. The process of gathering user requirements collecting user

requirements, scenarios, use cases, UML use case diagram.

5. Analysis and design of logical views of the system diagrams to show

the structure and behaviour of systems, UML class, object,

interaction, state diagrams.

6. Modeling process view of a system, process view diagrams, UML

activity diagram.

7. Implementation view of the system, representation of implementation

view, UML deployment diagram.

8. Developmental view of the system, representation of development

view, UML package diagrams and components.

9. Metrics and principles of object-oriented design.

10. Design patterns.

11. Mapping UML models to an implementation level of object-oriented

languages (Java, C + +, C #).

Literature

Recommended


2. Dženana Đonko, Samir Omanović, Object oriented analysis and

design applying UML notation, ETF Sarajevo, 2009

3. J. Rumbaugh, I. Jacobson, G Booch, The Unified Modeling

Language Reference Manual, Pearson Education, July 2004

Additional

1. E. Gamma, R. Helm, R. Johnson, John Vlissides, Design Patterns:

Elements of Reusable Object-Oriented Software, Addison-Wesley,

1994

Didactic methods

Theoretical concepts related to the topics of the course are presented during

lectures. The presented concepts are illustrated by examples and they are

discussed with the students.

Throughout the semester students will implement a project- software solution;

that is based on the model that has been built up with the assigned homework.

Concrete tasks related to the course and continuous monitoring of the project

will be worked on in the lab.

Assessment


attending classes and tutorials: 10 points, the student with more than

three absences from lectures and/or tutorials cannot get these points;

homework: maximum of 10 points; assuming solving up to 5

assignments equally distributed throughout the semester;

project: maximum 30 points; implementation of the system is based

on the model;

partial exams: two partial exams, each partial exam a maximum of 20

points (pass mark 10 points);

oral exam: maximum 10 points, consisting of a presentation of the

project (5 points) and simple questions related to thematic units of the

course (5 points).

A student who does not pass the partial exams has to retake an exam.

Final grade is made on the basis of points collected for all activities during the

semester, based on the scale:

96-100 grade 10

86-95 grade 9

76-85 grade 8

66-75 grade 7

55-65 grade 6

Prerequisites

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Software Development - ETF RI RPR I-2360

Module title Fundamentals of Database Systems

Module code ETF TKI OBP I-2440

Programme ETF-B CI, ACE, TC

Module

coordinator Dr. Almir Karabegović, Assistant Professor

Teaching staff Dr. Almir Karabegović, Assistant Professor

Emir Buza, MSc, Senior Teaching Assistant

Year of study 2

Semester 4


ECTS 5

Lectures 40

Laboratory

exercises 20

Tutorials 0

Workload –

Independent

Study

65

Module outcomes

The goal of this module is to provide fundamental knowledge of database

management systems. Students who successfully complete this course will

have the following competencies:

Understand the basic concepts of relational databases, including:

basic architecture relational databases, relational model, the entity

relationship diagrams, relational query language - SQL;

Develop the ability to analyze and apply the basic principles to

control transactions;

Develop the ability to design a database schema that includes tables,

views, triggers, store procedures, functions and packages;

Understand normalization form in order to overcome the functional

dependencies among data;

Module content

1. Introduction to databases: Historical overview of database

management systems (DBMS). Types of database management

systems. Architecture of database management systems. Basic

elements of database management systems.

2. Relation data model: Elements of relation data model. Types of

relation among tables. Entity relationship diagram.

3. Relational query language: Standards of the relational query

language. Structured Query Language - SQL. SQL commands

for creation objects in the database. SQL commands for: query,

insert and delete data in the database.

4. Advanced data search: General principles of joining tables.

Cartesian product. Inner join versus outer join. Joining two or

more tables under equality condition. Joining two or more tables

on any condition except under equality condition.

5. Data integrity: definition of data integrity. Basic ways of

defining of integrity conditions. Domain attributes and its

implementation through data integrity.

6. Stored procedures, functions and packages into the database. The

general difference among stored objects. Single row functions.

Group functions. User defined stored functions and procedures.

7. Data dependence: Functional dependence. Multiple dependences.

8. Normalization: anomalies of insertion, modifications and

deletion. Normal forms, normalization procedures

Literature

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Recommended

1. Ramez Elmasri, Shamkant B. Navathe [2000], Fundamentals of

Database Systems, Addison-Wesley, 2000

2. C.J. Date, Database in Depth: The Relational Model for Practitioners,

O’Reilly, 2005

3. ANSI/ISO/IEC International Standard (IS), Database Language SQL,

1999

Additional

1. H. Garcia-Molina, J. D. Ullman, J. D. Widom: Database Systems:

The Complete Book, Prentice-Hall, 2001.

2. Silberschatz, H. F. Korth, S. Sundarshan: Database System Concepts,

McGraw Hill, 2001.

Didactic methods

The course is conducted through theoretical lectures in which concepts of

database management systems are presented. These lectures are supported by

creating tasks and presenting many examples in order for student to better

acquire knowledge from this course.

On laboratory exercises students solve practical assignments where it is

required from them to analyze the problem and compare it with theoretical and

practical examples from lectures. These activities are organized to enable

continuous assessment through term paper and practical exercise of level of

preparedness of students required to comprehend knowledge and skills

required from them to reach in this course.

Assessment


Attending classes and tutorials: 10 points, student with more than

three absences from laboratory exercises cannot get these points.

Term paper: maximum of 10 points. Student is required to prepare

one term paper uniformly distributed throughout the semester.

Partial exams: two partial exams; each positively evaluated partial

exam with 20 points.

Students who gained less than 20 points during the semester must

repeat the course.

Students who earned 40 or more points during the semester will take a final

exam; the exam consists of discussion of problems from partial exams, home

assignments and answers to simple questions related to course topics. Final

oral exam provides maximum of 40 points. In order to get positive final grade,

students must earn minimum of 20 points in this exam. Student failing to earn

the minimum must take the repeat oral exam. Student, who earned 20 or more,

and less than 40 points during the semester, will have to take the repeat exam.

The repeat exam is organized in the following manner:

Written part is structured similarly to partial written exam, during


(less than 10 points);

Oral part is structured the same as the oral part of the final exam.


part of the repeat exam will be allowed to take the oral part of the repeat exam,

where the mentioned score consists of points earned through attending


written part of repeat exam. Oral repeat exam provides maximum of 40 points.

In order to achieve positive final grade students must earn minimum of 20

points in this exam. Student failing to earn the minimum will have to retake

the module.

Prerequisites

Algorithms and Data Structures

Module title Linear Automatic Control Systems

Module code ETF TKI OSAU I-2440

Programme ETF-B ACE, TC

Module

coordinator Dr Mujo Hebibović, Full Professor

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Teaching staff Dr Mujo Hebibović, Full Professor

Almir Salihbegović, Teaching Assistant

Year of study 2

Semester 4


ECTS 5

Lectures 36

Laboratory

exercises 10

Tutorials 14

Workload –

Independent

Study

70

Module outcomes

Students should: Learn the basic elements and basic factual knowledge related

to linear systems of automatic control; Students should obtain understanding

and develop the ability to recognize elementary blocks and characteristic

responses of the control systems; Students need to understand and master the

mathematical description of the basic physical and technological principles,

stability issues, quality behaviour in the new steady state, quality of transient

performances, tracking of the reference signals.

Module content

1. Introduction and basic concepts of control techniques; Task

formulation – excitation signals to the dynamic system; Possible

solution - control and regulation; Basic control specification; Stages

of solving control tasks.

2. Describing the dynamic system with block structure: Introducing the

block structure and its formation stages; Examples of control systems

in the block structure; Basic blocks in the block structure;

Linearization around the operating point; Decomposition of the block

structure.

3. Control loop analysis: General block structure and equation of the

control loop; Control characteristics in the open loop; Behavior of the

control loop in the steady state; Definition of the system stability and

basic algebraic stability criteria of the control system; Frequency

characteristics and hodograph of the open loop; Nyquist stability

criterion.

4. Synthesis (design) of the control loop: The performance

specifications; Performing and obtaining the basic control structure;

Problems in the implementation and different controller types, Rules

for controller parameters tuning, Controller design for the interesting

examples from the lecture.

5. The implementation of the controller: The transfer functions of the

controllers and parameters that are used in practice to tune the

controller.

6. Basics of the digital control: The structure of the digital control

system; Difference equations as description of discrete control

systems; Transfer functions as description of discrete control

systems; Locations of poles and zeros of the discretized system;

Stability of time discrete systems; Synthesis of digital controller, and

choosing the sampling period.

Literature

Recommended


2. Mujo Hebibović, Linearni sistemi automatskog upravljanja, ETF u

Sarajevu 2007.godine.

3. Milić Stojić, Digitalni sistemi upravljanja, Elektrotehnički fakultet,

Beograd, 1998

4. Adnan Tahirović, Mujo Hebibović, MATLAB u teoriji automatskog

upravljanja – praktikum za laboratorijske vježbe, ETF u Sarajevu

2002.godine.

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Additional

1. Mujo Hebibović, Teorija automatskog upravljanja, ETF u Sarajevu

2003.godine.

2. Z. Vukić, Lj. Kuljača, Automatsko upravljanje – analiza linearnih

sustava, Kigen, Zagreb 2004.godine.

3. Milić Stojić, Kontinualni sistemi automatskog upravljanja, Naučna

knjiga Beograd.

4. Tugomir Šurina, Automatska regulacija, Školska knjiga Zagreb.

5. Thaler G. J., Automatic Control Systems, West publishing company,

St. Paul, New York, Los Angeles, San Francisco,1989. godine.

Didactic methods

The lectures will be conducted directly in the hall and accompanied by solving

the problem examples which cover course material (36 hours), in a way that

enables students to acquire knowledge and skills which need to be achieved

within the framework of this course.

The laboratory exercises (11 hours), led by tutors, are designed to help

students to master the software tools that allow validation of the theoretical

fundamentals that have been obtained at the lectures.

With the help of tutors, students will be solving during the tutorial (13 hours)

a number of examples that accompany the lectures, and samples of exam

problems.

Assessment

During the course students collect points according to the following system:

Attending classes, exercises and tutorials: 10 points; Student with

more than three absences from lectures / exercises / tutorials cannot

achieve these points. Students have to attend the classes of the

laboratory exercises.

Continuous sssessment in the form of four tests during the tutorial:

each test with maximum of 2.5 points;

Partial exams: two partial exams, each partial exam with a maximum

of 20 points;


A student who has achieved less than 20 points during the semester, must

enroll the course again. To be able to take the final oral examination, the

student must collect 40 or more points during the semester through: attending

classes, homework/ prelabs and partial exams. On each partial examination a

student must achieve a minimum of 10 points.

To achieve a positive final grade, students must through all aspects of

assessment to achieve a total minimum of 55 points. The oral exam consists of

questions related to course topics. Students who do not achieve this minimum

must take the final oral exam.

A student who collects 20-40 points during the semester, attends the makeup

exam. The makeup exam is structured as a regular partial exam, where

students solve only the part of the exam that has not been passed. Makeup

final oral exam is structured in the same way as the final oral exam on a

regular schedule.

Makeup final oral examination can be taken by a student who, after taking

partial exams, managed to achieve a total of 40 or more points through:

attending classes, homework, prelabs and taking partial exams.

On the makeup final oral exam student may earn a maximum of 40 points. To

achieve a positive final grade the student has to achieve a minimum of 55

points, through all ways of assessment. Students who do not achieve this

minimum must re-enroll the course.

Prerequisites



Linear algebra and geometry

Module title Telecommunication Techniques 2

Module code ETF TKO TT2 I-3570

Study ETF-B TC

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Module


Teaching staff Dr Mesud Hadžialić, Associate Professor

Mirza Hamza, MSc, Teaching assistant

Year of study 3

Semester 5


ECTS 6

Lectures 48

Laboratory

exercises 14

Tutorials 8

Workload –

Independent

Study

80

Module outcomes

Students acquire basic theoretical knowledge needed for understanding and

analysis of modern digital telecommunication systems: passband system

models, conventional models, spread spectrum and multicarrier models for

transmission in channels with Gaussian noise.

Upon successful completion of the course, students should be able to:

understand and analyze modern modulation techniques,

estimate theoretical bounds for system parameters and quality parameters

in passband continuous-time channels using conventional techniques,

coherent and non-coherent reception and advanced techniques with better

spectrum and energy efficiency, as DS-SS and OFDM

estimate theoretical bounds for continuous-time channel capacity in point-

to-point and multi-user communication

Module content

1. Information limitations of digital telecommunication system:

relationship between symbol error probability (SEP) and bit error

probability (BEP). Forward error correction and residual error.

2. Passband transmission of digital signals/narrowband channel:

Analytical signal models. Basic characteristics of narrowband

signals. The optimal reception. The optimal coherent reception.

Optimal non-coherent reception. Error probability of optimal

receiver.

3. Digital modulations without pulse shaping: FSK, PSK, QPSK, QAM.

4. Digital modulations with pulse shaping: CPM signals. Characteristics

of MSK and GMSK signals.

5. Spread spectrum systems: The pseudo-random sequences. Direct-

sequence spread spectrum (DS-SS) systems. Frequency-hopping and

Time-hopping spread spectrum systems, FH-SS and TH-SS.

6. Multicarrier transmission: The maximum capacity of non-linear

channel. Multicarrier communication system model. OFDM model.

7. OFDM based multiple access techniques: OFDMA

8. Some applications of modulation techniques: Satellite and mobile

system, xDSL technology.

Literature

Recommended

1. Slides and lecture notes (available at faculty website);

2. K. Suruliz i M. Hadžialić, Statistička teorija telekomunikacija,


3. M. Hadžialić, Telekomunikacijske tehnike, book in preparation;

4. B. P. Lathi, Modern Digital and Analog Communication Systems,

Oxford University Press, New York 1998.

Additional

1. John G. Proakis, Masoud Salehi, Communication Systems

Engineering, Prentice-Hall, 1998;

2. John G. Proakis, Masoud Salehi, Contemporary Communication

Systems Using MATLAB, Brooks/Cole, 2000.

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3. I. M. Kostić, Digitalni Telekomunikacini sistemi I, Naučna Knjiga

1994, Beograd 1994.

Didactic methods

Lectures are performed in a lecture hall. Each lecture is followed by examples

of specific problems in the area of the topic, so students would master the

required knowledge and skills. Through tutorials, led by teaching assistant,

additional problems are being solved in order to obtain skills and methodology

of problem solving, which afterwards has for a goal gaining the ability of

solving practical problems and dealing with specific situations. Laboratory

exercises, under teaching assistant's guidance, have the objective of verifying

the facts and knowledge gained through lectures, using MATLAB software

package (Signal Processing Toolbox and Communication Toolbox). These

exercises are organized so that each student has a personal computer to

perform laboratory activities. Part of the laboratory exercises will be

performed in the Laboratory for Telecommunications, equipped with

equipment needed for spectrum and constellation diagram analysis of digital

modulated signals.

Assessment

During the course students acquire points according to the following system:


absences from lectures and/or tutorials and/or laboratory exercises can not get

these points.

Home assignments: maximum of 10 points, assuming solving 5 to 10

assignments equally distributed throughout the semester, with the maximum

of 5 points per assignment; Short quizzes can be used to assess the work on

assignments. Knowledge obtained through laboratory exercises is assessed by

teaching assistant.

Midterm exams: two midterm exams; each positively evaluated midterm exam

giving 20 points. Students are given 90-120 minutes to take the midterm exam

which is constructed from the following:

short questions

questions with multiple answers

problem sets

Minimum of 10 points is required for students to take the final exam. Students

who gained less then 20 points during the semester must repeat the course (re-

enroll).

Students who gained 40 or more points during the semester can take the final

exam, consisted of simple problem sets and short questions related to the

course topics. Final oral exam gives maximum of 40 points. In order to

complete the course, students must gain a minimum of 15 points at this exam.

Student failing to do so, must take the oral makeup exam.

Students who gained 20 or more, and less than 40 points during the semester,

have to pass the makeup exam. The makeup exam is organized in the

following manner:

-written part structured same as midterm exam, during which students solve

problems related to topics in which they did not achieve required grade (10 or

more points) taking the midterm;

-oral part structured the same as the oral part of the final exam.


written part of the makeup exam are allowed to approach oral part of the


through attending lectures, solving home assignments, midterm exams and the

written part of makeup exam. Oral makeup exam gives the maximum of 40

points. In order to pass the course, students must achieve minimum of 20

points at this exam. Students failing to achieve the minimum have to re-enroll

for this course.

Prerequisites

Statistical signal theory

Telecommunication techniques 1

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Module title Radio Techniques / RF Design

Module code ETF TKO R I-3550

Program ETF-B TC

Module

coordinator Dr Ivo Kostić, Full Professor

Teaching staff Dr Ivo Kostić, Full Professor

Aleksandar Mastilović, Teaching assistant

Year of study 3

Semester 5


ECTS 4

Lectures 30

Laboratory

exercises 12

Tutorials 8

Workload –

Independent

Study

50

Module outcomes

The students acquire necessary basic knowledge about radio technology,

function and operation blocks for transmitter and receiver side, modulations,

VF amplifiers and VF oscillators, PLL, mixers, signal detectors and radio-

link systems.

During practical work, students should check and accept knows fact from

theory and numerical exercises and learn how to design and implement

basic radio-transmitters and radio-receivers.

Module content

1. Match circuits: LC structures with concentrated paramters, L-cell,

π-cell, T-cell, coupled circuits, Real RLC components

Imperfectness, Monolit resonators

2. Input circuit of Receiver: Antenna parameters, Antenna impedanse

match, Noise Factor, Recivers sensitivity.

3. RF Amplfiers for low level signals: Applications of RF Amplfiers,

Technology of RF transistors, RF transistors as linear active

element, RF transistor and amplifier stability, RF Amplfier Design

(narrow- and broadband), Noise and Distorsion characteristics of

single amplfier and amplifier cascade, ARG Design.

4. Mixers: Fuctionality of Mixers, Mixer characteristics, Passive

Mixers, Active Mixers, Architecture of Down- and Up- Conversion

Receivers.

5. Frequencies Synthetisation: Oscillators and Synthesizers,

Frequency Instability, Frequency Standards, Oscillators Design,

PLL, PLL as Filter, Frequency Synthetizers Design using PLL,

Basic parameters of Frequency Synthesizer

6. RF Transformators: Ideal Transformator, NF and RF

Transformator, Analysis of RF magnetic-induction Transformators,

Concept and Analysis of TL Transformators, Implementations.

7. RF Power Amplfiers (PA): PA Function in Recivers Achtitecture,

Power transistors Specificity, Linear PA Design, Non-Linear PA

Design, Harmonics Filtration, Automatic matching to Antenna

Impedanse.

Literature

Recommended

1. Lecture notes and slides (will be available at the Web site).

2. Ivo Kostić: Radiotehnika – Zadaci i rješenja, Elektrotehnički

fakultet u Podgorici, 2012.

3. Ivo Kostić: Radiotehnički sklopovi i arhitekture, Pergamena,

Podsgorica, 1996.

Additional 1. B. Razavi: RF Microelectronics, Prentice-Hall, 1998.

Didactic methods



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to practically test their knowledge gained during the lectures using practical

work, check and accept knows fact from theory and numerical exercises and

learn how to design and implement basic radio-transmitters and radio-

receivers. A number of examples that accompany the lectures, and samples

of exam problems, students will be solving during the tutorial, with the help

of tutors (8 hours).

Assessment


Attending classes, exercises and tutorials: 10 points; 10 points for 3

or less absences;

Tests, 2 to 5 small tests to check acceptance of knowledge during

practical work in laboratory.

Partial exams: two partial exams, each partial exam with a

maximum of 20 points;





classes, tests and partial exams. On each partial examination the student

must achieve a minimum of 10 points.



course topics.








attending classes, tests and partial exams.




course.

Prerequisites

Electronics TK1

Signal Theory

Antenna Design and Waves Propagation

Module title Mobile Communication

Module code ETF TK MK I-3560

Programme ETF-B TC

Module

coordinator Dr Ivo Kostić, Full Professor

Teaching staff Dr Ivo Kostić, Full Professor

Pamela Begović, MSc, Senior Teaching Assistant

Year of study 3

Semester 5


ECTS 5

Lectures 36

Laboratory

exercises 12

Tutorials 12

Workload –

Independent

Study

65

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Module outcomes

Within this module, phenomena occurred during signal transmission

through wireless channel are identified, described and modeled, providing

students fundamental knowledge about phenomena in mentioned channels.

In order to improve performance of signal transmission, students are

introduced with different techniques for performance improvements

(implemented in I and II layer of wireless technologies OSI model). In this

way, the students achieve fundamental engineering skills, knowledge and

competence needed to make an approach to the analysis, synthesis,

definition and resolution of the essential problems in practice, which

provide them the access to the methodologies relevant for understanding of

basic principles of mobile wireless systems.

Module content

1. Radio channel: propagation mechanisms

2. Time variant channel analysis

3. Digital modulations and their applications in AWGN and fading

channels

4. Analysis of transmission quality over time variant channel

5. Methods for signal quality improvements during its transmission

over time variant channel (channel coding techniques, interleaving,

equalization, diversity techniques, OFDM)

6. Spread spectrum techniques

7. Basic characteristics of GSM technology

8. Basic characteristics of TETRA technology

Literature

Recommended

1. I. Kostić: Lecture notes and slides (available at the Web site).

2. B. Sklar: ''Rayleigh Fading Channels in Mobile Digital

Communication Systems, Part I: Characterization'', IEEE

Communication Magazinem Vol. 35, No, 6, July 1997

3. B. Sklar: ''Rayleigh Fading Channels in Mobile Digital

Communication Systems, Part II: Mitigation'', IEEE

Communication Magazinem Vol. 35, No, 6, July 1997

Additional

1. M. K. Simon, M. S. Alouni: ''Digital Communications over Fadong

Channels'', 2nd edition, John Wiley and Sons, 2005, Ch. 1-3, 5

2. T. S. Rappaport: ''Wirless Communications: Principles and

Practice'', Prentice Hall, 2002, Ch. 4, 5

3. A. Goldsmith: ''Wirless Communications'', Cambridge University

Press, 2005, Ch. 1-3

Didactic methods

Lectures are conducted directly in the classroom and accompanied by





to practically test their knowledge gained during the lectures using

MATLAB and SIMULINK (signal Processing Toolbox). That way, students

are introduced with software solutions used for practical implementation of

techniques for signal processing before its transmission over wireless

channel and techniques for transmission quality improvement, in time

variant fading channel, together with simulations of different types of fading

channels.


problems, students are solving during the tutorial, with the help of tutors (12

hours).

Assessment


Attending classes, exercises and tutorials: 10 points maximum

Homework: maximum of 10 points is divided up to 5 homeworks

(2 points each) evenly distributed throughout the semester


maximum of 20 points

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Duration of partial exams is 60 minutes and they are composed of 10

theoretical questions which goal is to verify student’s basic theoretical

knowledge; student who correctly answers all 10 questions can achieve 20

points maximum and for passing each partial exam, student must achieve 10

points minimum.


the course again.

To be able to take the final oral exam, the student must collect 40 or more

points during the semester through attending classes, homework and partial

exams. To achieve a positive final grade, student must in final oral exam

achieve a minimum of 15 points. The oral exam consists of 10 questions (2

point per each question) related to the course topics (20 points in total), and

numerical examples (20 points in total).






Repeated final oral exam can be taken by the student who, after partial

exams, managed to achieve a total of 40 or more points through attending

classes, homework and partial exams.




course.

Prerequisites


Telecommunication techniques I

Module title Channel Coding

Module code ETF TKO KK I-3560

Programme ETF-B TC

Module


Teaching staff Dr Narcis Behlilović, Full Professor

Pamela Begović, MSc, Senior Teaching Assistant

Year of study 3

Semester 5


ECTS 5

Lectures 39

Laboratory

exercises 14

Tutorials 7

Workload -

Independent

Study

65

Module outcomes

Within this course, students are introduced with the basic applications of

Galois field (or finite field) theory and modular algebra. They also acquire

fundamental knowledge related to error detection mechanisms during data

transmission, together with different kinds of mechanisms for error

correction using FEC algorithms (which eliminate the necessity of

implementation of retransmission algorithms).

Module content

1. Introduction to error detection/correction channel coding. Binary

block codes.

2. Basic principles of linear block codes (Hamming distance,

Hamming weight, Hamming codes, polynomial block codes, CRC

block codes...).

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3. Linear block code decoding using principle of syndrome and

maximum likelihood metric.

4. Galois filed theory (characteristics and construction principles).

5. Linear block codes based on Galois field (RS codes and BCH

codes - algorithms for coding and decoding).

6. Trellis codes, binary convolution codes (construction,

characteristics), systematic convolution codes, Viterbi decoding

algorithm, hard and soft decision in decoding process.

7. Channel codes for packet error correction.

8. Examples of channel coding applications in telecommunication

systems.

9. Ongoing directions in channel coding theory (LDPC and Turbo

codes, Raptor codes...)

Literature

Recommended

1. Lecture notes and slides (available at the Web site).

2. N. Behlilović: Channel Coding (book in preparation)

3. Pretzel: ''Error-Correcting Codes and Finite Fields'', Oxford

University Press, 1992

4. Todd K Moon: ''Error Correction Coding'', John Wiley & Sons,

2005

Additional

1. R Lidl, H Niederreiter: ''Introduction to finite fields and their

applications'', Cambridge University Press,1994

2. S G Wilson: ''Digital Modulation and Coding'', Prentice Hall, 1996

Didactic methods

Lectures are conducted directly in the class-room and accompanied by





to practically test their knowledge, gained during the lectures, using

MATLAB (signal Processing Toolbox). That way, students will be

introduced with the specific software tools used for channel coding practical

implementation.

During the tutorials, with a help of tutors, students will be solving a number

of numerical examples that accompany the lectures and samples of exam

problems (7 hours).

Assessment


Attending classes, exercises and tutorials: 10 points;

o = (10 hours x number of hours of attendance)/60 hours.

Homework: a maximum of 10 points is divided up to 5 home

works (2 points each) evenly distributed throughout the semester.



Partial exam duration is 90 minutes and is structured as follow:

answers to a simple questions in order to test student’ basic

theoretical knowledge; student can achieve maximum 5 point

one numerical example with open answer; maximum 10 points

one numerical example with a given multiple choice answer (of

which just one is correct); maximum 5 points

A student, who achieves less than 20 points during the semester, must enrol

in the course again.

To be able to take the final oral examination, the student must accumulate

40 or more points during the semester through attending classes, homework

and partial exams. The oral exam consists of questions related to the course

topics together with the numerical examples done in homework and partial

exams. In the final exam, student can achieve 40 points maximum. To

achieve a positive final grade, student must achieve a minimum of 20 points

in the final oral exam.


repeated exam.

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The repeated exam is structured as a regular partial exam, where students

solve only the part of the exam that has not been passed. Repeated final oral

exam is structured in the same way as the final oral exam on a regular

schedule.


partial exams, achieved a total of 40 or more points through attending

classes, homework, and partial exams.

In the repeated final oral exam student may earn a minimum of 20 points of

40 points. To achieve a positive final grade the student has to achieve a

minimum of 20 points on final oral exam. A student who does not achieve

this minimum must repeat the course.

Prerequisites



Module title Measurements in Telecommunications

Module code ETF TKI MT I-3555

Programme ETF-B TC

Module

coordinator Dr Irfan Turković, Assistant Professor

Teaching staff Dr Irfan Turković, Assistant Professor

Tarik Uzunović, MoE, Teaching Assistant

Year of study 3

Semester 5


ECTS 5

Lectures 35

Laboratory

exercises 12

Tutorials 8

Workload –

Independent

Study

70

Module outcomes

Students will obtain both theoretical and practical knowledge in the area of

electrical measurements and measurements in telecommunications. Upon

completing the course, students should be able to:

Solve theoretical and practical problems that they may encounter in the area

of measurement electrical values.

Use both analogue and digital measurement instruments, as well as basic

telecommunication measurement devices.

Properly connect different laboratory devices, do fundamental

measurements of telecommunication signals in both time and frequency

domain, process the measurement results and make a report.

Module content

1. Introduction to metrology: Fundamental metrology terms. Physical

units and their measurement. National and international metrology

institutions. Etalons and measurement traceability. Unit systems.

2. Measurement errors and uncertainty in measurement: Fundamental

definitions or errors and division types of errors. Single measurement

error. Reproducibility, repeatability, accuracy and precision. Statistical

analysis of the results. Indirect measurement errors. Uncertainty in

measurement type A, type B and combined uncertainty. Calculating

expanded Uncertainty in measurement and creating a report.

3. Technical characteristics of measurement devices: Static characteristics

( range, accuracy, sensitivity, linearity, stability, input and output

impedance). Dynamic characteristics (response time, characteristics in

frequency domain).

4. Analogue electrical measurement devices: Basic features and working

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principles of analogue measurement devices. Instruments with movable

coil and permanent magnet. Widening of range. Electrodynamic

instrument. Electrostatic instrument.

5. Digital measurement devices: Fundamental circuits for digital

measurement. Data presentation. Logic functions. AD converter

circuits. Digital indicators. Digital multimeter. Measuring of time and

frequency. Voltage measurement (converting voltage into time with

one and two saws, converting voltage into frequency). Converters with

gradual approximation (series and parallel circuit).

6. Measurement of RF power: Etalons of electric power. Measuring

electric power in both DC and AC circuits. Measuring high frequency

power. Errors in HF power measurement . Absorption and calorimeter

wattmeter. Wattmeter with thermocouple sensors. Wattmeter with

thermistor sensor.

7. Measurement of resistance, inductance and capacitance: Etalons of

electrical resistance. Analogue and digital electric Ohmmeter.

Electrical resistance measurement methods. U-I method. Comparison

method. Measuring bridges. Basic method for capacitance and

inductance measurement.

8. Spectrum analyzers: Introduction to frequency domain measurements.

Types of spectrum analyzers. FFT spectrum analyzer with controllable

frequency step and FFT spectrum analyzer with adjustable frequency

range. Swept spectrum analyzer. Wave analyzers. Measurement of

modulation and distortion

9. Oscilloscope: Analogue and digital oscilloscope principle of operation,

and their comparison. Fundamental circuits of oscilloscope. Purpose

and use of measurement probes. Procedures for measuring various

parameters of the telecommunication signals.

10. Measurement in optical communication systems: Measurement before

the system installment (measurement of the transmission of optic fiber,

mechanical, temperature and optical measurement). Measurement after

the system installment (multi-mode dispersion, chromatic dispersion,

numerical aperture, location of optic cable failure). Principle of work

and basic types of OTDR devices. Fundamental measurements using

OTDR device.

11. Measurement in digital communications: Fundamentals of measuring

in digital communications and measurement methodology. Tests for

standard compatibility. Tests for functionality. System performance

tests. Instruments for measuring bit error rate – BER testers. Sources of

errors, measurement with BER testers and architecture of BER testers.

Monitoring and quality of service.

Literature

Recommended

1. I.Turković, Mjerenja u telekomunikacijama, Slajdovi i bilješke,

Sarajevo, 2011, http://www.etf.unsa.ba/

2. Richard Collier, Doug Skinner „Microwave measurements“ – 3rd

edition, Institution of Engineering and Technology, London United

Kingdom, 2007

3. Kamilo Feher and Engineers of Hewlett Packard „Telekomunication

measurement, Analysis and Instrumentation“, Noble Publishing

Corporation 1997.

Additional

1. Christoph Raucher: „Foundamentals of Spectrum Analysis“ ,5nd

edition, Rhode and Schwarz, GMBH, Munich 2007

2. Roland Kiefer, "Test Solutions for Digital Networks",

Heidelberg, Germany, 1997.

Didactic methods

Course material is presented in following ways:


lectures, fundamental theoretical aspects of measurements in

telecommunication will be explained. In addition, numerical problems will

be solved. In tutorials, under the guidance of the teaching assistant, more

numerical problems and examples from previous exams are solved so that


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students understand theoretical aspects better. Laboratory exercises are

designed to introduce students to practical measurements of several electrical

values. In addition, students will learn to work with special measuring

instruments during the laboratory exercises. During the semester, students

are obliged to do one home assignment. In addition, students are expected to

participate in lectures and tutorials, as well as to work individually all the

time.

Exams


Attendance to lectures and tutorials: 10 points. Student with more than

three absences during semester will not get there points.

Laboratory exercises and home assignments – maximum of 10 points.

Students will have one home assignment, worth 2 points.Students will earn

8 points on laboratory exercises.

Two written exams, midterm and final, each written exam with a maximum

of 20 points.

Written exam is structured on the following way:

Simple questions designed to test student’s fundamental theoretical

knowledge – maximum of 5 points.

Solving two numerical problems that require complete solving procedure –


Solving two to three simple numerical problems, with multiple-choice

answers given – maximum 5 points.

Student who earns 40 points or more will take a final oral exam. Also,

students that have 10% less points can take a final oral exam, depending on

teacher’s and assistant’s opinion. Final oral exam consists of discussion of

exam problems, home assignment discussion and answering the simple

theoretical questions. Students can earn a maximum of 40 points for this

exam. In order to get a positive grade, student must earn at least 15 points on

the final exam.

Student who fails to pass one or both written exams will have to take a

makeup exam, for the part that he failed. Makeup exam has the same

structure as the written exam. Makeup final oral exam has a same structure

as the final oral exam.


Prerequisites

Module title Software Engineering

Module code ETF TKI SI I-3555

Programme ETF-B TC

Module

coordinator Dr Mirko Škrbić, Associate Professor

Teaching staff Dr Mirko Škrbić, Associate Professor


Year of study 3

Semester 5


ECTS 5

Lectures 35

Laboratory

exercises 20

Tutorials 0

Workload –

Independent

Study

70

Module outcomes

The students should acquire knowledge about Object Oriented Software

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Engineering process and metodology. Using tools and libraries students may

learn how to design software modules with orientation to embeded systems

(like software for terminals in fixed and mobile networks).

Module content

1. Scope of software engineering: Historical aspects. Economic

aspects. Maintenance aspects. Requirements, analyses and aspects

of design. Aspects of team development. Phase of planning, testing

and archiving. Object-oriented paradigm.

2. Software life-cycle models: Software development in the theory.

Iterations and increments. Comparisons of life-cycle models.

3. Software flow: Consolidated flow. Requirements, analysis, design,

implementation and testing of working flow. Improvement of

software process.

4. Team selection, tools and testing: Team organizations. Selected and

appropriate team organization. Metrics of software. Version of

software. Level of reliability of software. Software testing.

5. Modules and object: Cohesion. Interaction. Data encapsulations.

Heritage, polymorphism and dynamic linking.

6. Reuses possibility and capacity.Archiving technique.

7. Planning and prediction: Planning and software flow. Prediction of

durations and costs. Plan management to the components of

software project. Planning testing. Training requirements. Plan

management of testing of software project. Problems.

8. Working flows of life-cycle software: Determining of client needs.

Review of requirement of working flow. Business model. The

initial business model. Testing of working flow. Tools. Metrics for

requirements of working flow.

9. The classic analysis: Learning goals. Document specification. The

informal specification. The structural system analysis. Other

semiformal techniques. Testing during classic analysis. Metrics for

the classic analysis. Plan management.

10. Object-oriented analysis: Learning goals. The working flow

analyses. Entity classes extraction. Case of study of elevator

problem (object-oriented analysis, functionally modeling,

modeling of entity classes, dynamic modeling). Testing of working

flow. Tools.

11. Design: Design and abstractions. Analysis of data flow. Analysis of

transaction. Data-oriented design. Object-oriented design. Working

flow design. Test of working flow design. Technique of real-time

design. Tools for the design. Challenge. Problems.

12. Implementation: Programming language selection. Languages 4th

generations. Coding standards. Integration. Implementation.

Testing. Code inspection. Potential problems. Aspects testing

management. Integral testing. Product testing. The admissive

testing. Tools and metrics for the implementation.

13. .Maintenance: Requirements to the programmers. Maintenance

management post-shipment period. Maintenance of object-oriented

software. Reverse engineering. Metrics for the post-shipment

maintenance.

14. UML: Class diagrams. Diagram usage. UML diagram review.

UML iterations. Promotion readings. Duration key. Problems.

15. .Examples: Analyses, design, implementations (Java, C++) and

testing of design.

Literature

Recommended

1. Slides from lectures (present on Faculty WEB site);

2. Shari Lawrence Pfleeger, Joanne M. Atlee: Softversko

inženjerstvo, teorija i praksa, RAF i CET, 2006

Additional

1. Ivar Jacobson "Object-Oriented Software Engineering",

Addison Wesley, Edition 2004

2. BERTRAND MEYER "Object-Oriented Software

Construction", Second Edition, ISE Inc., Santa Barbara

Didactic methods

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to practically test their knowledge gained during the lectures using modules

of some Open source software applications based on Linux and Android,

like clients for terminals and PDAs.

Assessment


Attending classes, exercises: 10 points; = (10 hours x number of

hours of attendance)/ 45 hours.

Tests after the lectures: a maximum of 5 points is divided up to 5

tests (1 points each) evenly distributed throughout the semester. ;



Final oral exam encompassing the presentation of pratical work

based on laboratories and tutorials that provides maximum 40

points








course topics.












course.

Prerequisites

Programming Techniques

Operating Systems

Module title Next Generation Networks and Services

Module code ETF TKI NGM I-3555

Programme ETF-B TC

Module

coordinator

Teaching staff

Year of study 3

Semester 5


ECTS 5

Lectures 35

Laboratory

exercises 6

Tutorials 14

Workload –

Independent

Study

65

of 85

Module outcomes

Students acquire theoretical and practical knowledge about New generation

of networks and services structures, protocols etc. necessary for design,

installation and maintenance of new networks, service platforms etc.

Theoretical knowledge, with the program structure described in the next

unit. Program, students acquires on lectures. Students acquire practical

knowledge in two ways: via the visit/practice in the Telecom company and

UISP (United Internetwork Service Provider) and via Laboratory practices.

Via practices in the Telecom company students acquire idea about practical

realization of concept of New generation of networks. Visiting United

Internetwork Service Providers students acquire idea about service

requirements on networks, traffic, business models etc. Through Laboratory

practices, which are based on the application of software package

MATLAB, students acquire practical knowledge about signaling processes,

interface connecting etc.

Module content

1. Types and characteristic of TK network.

2. Main activities in the chain of TK network - access,

commutation/routing, transmission, management.

3. Layered structure of networks - access, connection and control

layer. Structure of networks of transitional character - on the way

towards the Universal network. Elements network of the

transitional and layered structure.

4. Intelligent and virtual networks.

5. Broadband access fixed - wired and wireless networks.

6. Integral/data mobile networks. IP VPN, VPN MPLS and GMPLS

networks.

7. Security aspect of networks.

8. Convergence and integration of networks. Elements of the

convergent and integrated networks - gateways, soft switchers,

medium servers etc. Communication, control and signaling

protocols.

9. User requirements for services - accessibility, bandwidth and

enlargement of the same. New, attributive services - broadband,

interactive, multimedia, intelligent and mobile.

10. Service requirements on networks. Network services based on IP.

Video and multimedia services. Broadcast and interactive services.

E-type on-line services. Integrations of services/service.

11. Service platforms. The new business models, and models and

systems of charge contents, QoS, user SLA contracts etc.

12. Management of fixed, mobile and integrated networks -

configuration, performances, breakdowns etc. SNMP protocol etc.

13. Development and planning of NGN networks and services -

models, methods, optimizations.

Literature

Recommended


2. E. Hatunić: Nova generacija mreza i usluga, BH TEL, Sarajevo

2003

3. A. Tanenbaum: Computer Networks, Prentice-Hall, 2004

Additional 1. B. Sklar, S. Y. Liao, DigitalCommunications - Fundamentals and

Applications, Prentice-Hall, Englewood Cliffs, NJ 1988

Didactic methods

Lectures are presented by teacher and are accompanied with solving of

characteristic tasks from the suitable area (39 hours) in a way which make

possible that students master knowledge and skills which need to be

achieved in the framework of this course. During tutorials (14 hours), under

tutor guidance and supervision, other examples and problems will be

considered and solved, including tasks from previous exam, so that students

thoroughly master the methodology and technique of application of learned

theory. During practices (7 hours) students independently simulate and

analyze the segments of signaling processes and interface connecting of

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NGN's elements (the Laboratory practice), in other words, acquire the basic

ideas about the functioning of NGN network and establishing valuable,

attributive services (the visit/practices in the Telecom company and UISP).

Assessment


Attending classes, exercises: 10 points; = (10 hours x number of

hours of attendance)/ 45 hours.

Tests after the lectures: a maximum of 5 points is divided up to 5

tests (1 points each) evenly distributed throughout the semester. ;



Final oral exam encompassing the presentation of pratical work

based on laboratories and tutorials that provides maximum 40

points








course topics.












course.

Prerequisites

Module title Teletraffic Theory

Module code ETF TKI TP I-3555

Programme TC

Module


Teaching staff

Dr Mesud Hadžialić, Associate Professor

Adnan Huremović, MSc

Darijo Raca, MoE, Teaching Assistant

Year of study 3

Semester 5


ECTS 5

Lectures 35

Laboratory

exercises 10

Tutorials 10

Workload –

Independent

Study

70

Module outcomes

Students acquire necessary basic knowledge about teletraffic engineering

and queuing theory, with practical and theoretic knowledge about traffic

modeling and engineering at the end of the course. Student acquire

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knowledge about mathematical modeling of network elements and queuing

networks, traffic simulation and measurement methods.

Module content

1. Telecommunication traffic. Telecommunications system modeling.

System structure. Statistical properties of traffic. Models.

Conventional telephone systems. Virtual circuit networks.

Datagram networks. ITU recommendations on traffic engineering.

Traffic demand characterization. Grade of Service (GoS)

objectives. Control and traffic dimensioning.

2. Traffic concepts and GoS. Traffic concept and traffic units

(Erlang). Traffic variations and busy hour. Blocking concept.

Traffic generation and source reactions. GoS and QoS.

3. Arrival processes. Arrival process classification. Autocorrelation

and correlation coefficient for arrival processes. Markov arrival

process.

4. Counting process. Interarrival process. Poisson arrival process.

Properties of Poisson arrival process. PASTA and memorylessnes.

5. Markov chains. Homogenous Markov chain. Ergodic Markov

chain and stationary probabilities. Discrete time Markov chain.

Geometric distribution. Continuous time Markov chain. Transfer

intensities. State diagram.

6. Birth-death processes. Global and local balance equations.

Fundamental queuing systems. Little formula.

7. Fundamental queuing systems. M/M/1 system. M/M/m system.

Erlang C-formula. M/M/1/K system. Finite memory systems.

M/M/m/m system. Loss systems. Erlang B-formula.

8. Advanced queuing systems. Phase distributions. Hyper-exponential

distribution. Hypo-exponential distribution. M/Ek/1 and M/D/1

system. Cox distribution. Closed tandem network.

9. General queuing systems. M/G/1 system. Wald theorem. Residual

times. Polaczek-Khinchin formula. Systems with priorities. G/G/1

system.

10. Variable rate traffic models. Modulated Poisson processes. MMPP

process.

11. Queuing networks. Performance parameters. Jackson networks.

Gordon-Newell networks.

12. Self-similar traffic. Long range dependence. Heavy-tail

distributions. Pareto distribution. Detection of heavy-tailed traffic.

13. Traffic measurement. Introduction to statistical methods of

measure. Hypothesis testing. Kolmogorov-Smirnov test. Traffic

matrices. Offered traffic evaluation and fictional traffic.

14. Traffic conditioning and dimensioning. Introduction to

conditioning mechanisms. Min-max fair sharing. GPS algorithm.

Fair queuing.

15. Traffic simulation methods. Traffic simulation tools and

measurement tools.

Literature

Recommended

1. Lecture notes and slides (available at the Web site).

2. R. B. Cooper, „Introduction to Queueing Theory“, Second Edition,

North Holland, 1981.

3. O. Scheluhin, S. Smolskiy, A. Osin: “Self-similar Processes in

Telecommunications“, John Wiley and Sons, 2007.

Additional

1. V. B. Iversen: “Teletraffic Engineering handbook”, Technical

University of Denmark. 2006.

2. L. Kleinrock: “Queueing Systems”, John Wiley and Sons, 1975.

Didactic methods

During direct lectures performed in aula, theoretical aspects of

telecommunication traffic, probability and stochastic processes, basis of

queuing theory and traffic engineering are presented.

Lectures are followed by formulation and solution of tasks, problems and

projects which illustrate presented theoretical concepts.

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Students’ level of knowledge and skills is continually checked through

homeworks and partial exams.

Assessment

During the course students acquire points according to the following

system:

Attending classes and tutorials: 10 points, student with more than

three absences from lectures and/or tutorials cannot get these

points.

Home assignments: maximum of 10 points, assuming solving 5 to

10 assignments equally distributed throughout the semester.

Partial exams: two partial exams; each positively evaluated partial

exam giving 20 points.

During the time of each partial exam (90 minutes) students will solve

problems choosing among several given answers (students with correct

answers to each such given problem get 10 points), as well as one open-

answer problem (correct answer giving 10 points).

Students who gained less than 20 points during the semester must repeat

that course.

Students who gained 40 or more points during the semester will approach

final exam, consisted of discussion of problems from partial exams, home

assignments and answers to simple questions related to course topics (basic

definitions and statements of most important features and/or theorems).

Final oral exam gives maximum of 40 points. In order to gain positive final

grade, students must accomplish minimum of 20 points in this exam.

Student failing to accomplish the minimum must approach the makeup oral

exam.

If the student gained 20 or more, and less the 40 points during the semester,

he/she will have to pass the makeup exam. The makeup exam is organized

in the following manner:


which students solve problems related to topics in which they did

not achieve required grade (10 or more points) passing partial

written exams;

Oral part structured similarly to oral part of the final exam.


written part of the makeup exam will be allowed to approach oral part of the


through attending lectures, solving home assignments, passing partial exams

and passing the written part of makeup exam.

Oral makeup exam gives maximum of 40 points. In order to achieve

positive final grade students must achieve minimum of 20 points in this

exam. Student failing to achieve the minimum will have to re-enroll for this

course.

Prerequisites


Information Theory and Source Coding

Module title Microwave Communication Systems

Module code ETF TKO MKS I-3650

Program ETF-B

Module

coordinator Dr Vladimir Lipovac, Full Professor

Teaching staff Dr Vladimir Lipovac, Full Professor

Mirza Hamza, MSc, Senior Teaching Asisstant

Year of study 3

Semester 6


ECTS 4

Lectures 29

of 85

Laboratory

exercises 14

Tutorials 7

Workload –

Independent

Study

50

Module outcomes

Students acquire basic theoretical and practical knowledge necessary for study

of contemporary microwave communication systems:

Identification and classification of microwave communication system

elements. Classification and formulation of parameters necessary to describe

system elements. Analysis of processes in communication systems. Modeling

of system elements and application of learned theorethical knowledge during

practical synthesis of communication system elements. Demonstrate ability to

apply acquired design, implementation, testing and exploitation skills in

microwave communication systems.

Module content

1. Transmission systems. Directional microwave communication

systems. Basics microwave technologies. General characteristics of

homogeneous lossless transmission lines. Practical reflection

parameters.

2. Waves with dispersion (TE and TM). Group velocity. Rectangular

waveguide. Critical frequency (wave length). Structure of TE10

field. Structure of higher-modes field.

3. Microwave components implemented in waveguide technology.

Representation of microwave networks by S-parameters.

Microwave antennas. Gain. Standing-wave ratio. Beam width.

Polarization.

4. Microwave amplifiers and oscillators. Noise factor and equivalent

noise temperature of microwave networks.

5. Radio wave propagation in 1-100 GHz bandwidth. Atmospheric

effects. Refractions and absorptions. Diffraction and Fresnel zones.

Reflections. Fading. Flat fading. Multipath fading. Polarizing

fading and scintillations.

6. Functional blocks of the directional microwave radio

communication system. Radio-relay and satellite system. Block-

schemes of heterodyne and direct transceiver.

7. Link analysis. Basic transmission equation. System gain. Pre-

accentuation. Coding. Frequency modulation. I-Q modulation:

phase modulation (m-PSK), QAM. Spectral efficiency.

Equalization. Intermediate to radio frequency conversion and

reverse. The output power amplifier.

8. Transmission performance of microwave communication systems.

Effects of amplitude and phase distortion of the radio channel

characteristic and noise. Influence of the receiver bandwidth on the

noise power and signal distortion. Theoretical probability of a bit-

error. Practical system performance (BER). Implementation margin.

Diversity techniques. Error control (ARQ and FEC).

9. Characteristics of the satellite microwave system. Similarities

between the satellite and terrestrial radio-relay systems.

Geostationary orbits. Link analysis. Attenuation and noise of the

satellite section. Access techniques. FDMA. TDMA.

Synchronization. DSI.

10. Microwave communications system design. ITU-T standards (594,

21xx, G.821, G.826/8,…). Frequency planning, electromagnetic

compatibility. ITU-T recommendations for radio-relay systems.

ITU-T recommendations for satellite systems.

Literature

Recommended

1. Notes and slides from lectures (Available at Faculty WEB Site);

2. V. Lipovac, Osnove mikrovalnih komunikacija: komponente i

aplikacije, Sveučilište u Dubrovniku 2005, ISBN 953-7153-04-5;

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Additional

1. R.E. Collin, Foundations for Microwave Engineering, J. Wiley &

Sons, New York, 1992

2. D. Pozar, Microwave Engineering, 2nd edition, J. Wiley & Sons,

New York, 1998

3. N. Nešković, Usmerene radio veze, Akademska misao, Beograd

2011.

4. G. Maral, M. Bousqet, Z. Sun, Satellite Communications Systems:

Systems, Techniques and Technology, 5th edition J. Wiley & Sons,

New York, 2010

5. D. Roddy, Satellite Communications, 4th edition McGraw-Hill,

New York, 2006

Didactic methods









Laboratory exercises, under tutor guidance, have objective for students to

check knowledge gained through lectures using appropriate software.

Exercises are organized so that each student has a personal computer and

laboratory equipment to perform foreseen activities.

Didactic methods





assignments/tests (maximum 4 points) equally distributed throughout the

semester and laboratory reports (maximum 6 points) .


points.

Each partial exam lasts 90-120 minutes and it is structured as follows:



points;



One to three open-answer problems; correct answer to all problems earns

10 points.










following manner:

Written part structured similarly to partial written exam, during which

students solve problems in topics they failed on partial exams (less then 10

points);



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Prerequisites

Antennas and Wave Propagation,

Radio Techniques/RF Design

Telecommunication Techniques 2

Module title Switching Systems

Module code ETF TKO KS I-3660

Programme ETF-B

Module


Teaching staff Dr Mirko Škrbić, Associate Professor

Darijo Raca, MSc, Teaching Assistent

Year of study 3

Semester 6


ECTS 5

Lectures 40

Laboratory

exercises 7

Tutorials 13

Workload –

Independent

Study

65

Module outcomes

The students should acquire knowledge about Switching Fabric and Control

part in the nodes of existing telecommunications networks. In this way, the

students achieve fundamental engineering skills, knowledge and

competence needed to make an approach to resolution of the essential node

design problems in practice. The module will provide the access to the

methodologies relevant for understanding of architecture of switching fabric

and software techniques applied in the control system design.

Module content

1. Introduction in the Switching: Functions of Switching systems in

the telecommunication network. Switching structures.

2. Bases of broadband Switchings. Base of design of circuit’s

Switching: The space division switching. Non-blocking

characteristics. Complexity of non-blocking commutators. Close

Switching network. Benesh Switching network. Cantor Switching

network. Space and space-time division switching. Time division

switching. Time-space-time division switching. Basic principles of

design packet commutators. Packet connection in commutators.

Basic characteristic of interconnected networks. Banyan networks.

Sorting networks and their usage in Switchings. The basic concept

of parallel networks. Sorting networks based on the bit row. Odd

even sorting network. Switching and eliminating congestions in

sorting-banyan network. Performances of simple design

commutators. Permeability of the internal non-blocking loss

systems.Permeability of the input buffer commutators. Delay of the

input-buffer commutators. Delay of the output-buffer commutators.

Bases of advanced design commutators. Base of commutators

design based on the band expansion. Base of commutators design

based on the diverted routing. Switching using memory I/O.

Multicast Switching. Design of scalable commutators. Multirate

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Switching. Performances of commutators in nonuniform traffic

loads.

3. Concept of digital Switchings: Switching with the time division.

Time-multiplex Switching. Digital Switching systems. Digital local

Switching systems. Experimental digital commutators.

4. Architecture ATM of Switching system: Functional requirements.

Architecture model of commutators. Review of functions of

distribution. Routing and register. Concentrations and expansions.

Copying and multicasting. Register management.

5. Multi Protocol Label Switching. MPLS concept.

6. Optical Switching: The spatial optical Switching. Guided-Wavw

Switching devices. Optic fibers for the spatial distribution. The

optic packet Switching. The optical Switching along the time and

wavelength. The optical Switching with the time distribution. The

optical Switching in the time and space. The optical Switching with

the wavelength distribution. The optical Switching for the space

and wavelength. The basic optical Switching in the

space/time/wavelength.

7. Architecture of software Switchings: Software of Switching

systems. The basic software architecture. Calling models. Analysis

of software quality of Switching systems. Life cycle of software

Switching systems. The software development. Methodologies of

evaluation of software Switching quality. The total evaluation.

Important models of software evaluation.

8. Architecture of the digital Switching systems: Operations of the

digital Switching systems. Synthesis of the digital Switching

systems.

Literature

Recommended


2. Mirko Škrbić, "Čvorovi u telekomunikacionoj mreži" (The Nodes

in Telecommunications Network”, book , ETF Sarajevo

Additional

1. Joseph Y. Hui, "Switching and Traffic Theory for Integrated

Broadband Networks", Kluwer Academic, 1990

2. J. C. McDonald (ed.), "Fundamentals of Digital Switching", 2/e,

Plenum Press, 1990

3. Syed Riffat Ali, "Digital Switching Systems", McGraw-Hill

Professional Publishing, August 1, 1997

4. Thomas M. Chen, Stephen S. Liu, "ATM Switching Systems",

Artech House Publishers (March, 1995)

Didactic methods







of some Open source switching applications like SIP Express Router and

Asterisk.



(13 hours).

Assessment


Attending classes, exercises and tutorials: 10 points; = (10 hours x

number of hours of attendance)/ 60 hours.

Tests after the lectures: a maximum of 5 points is divided up to 5 tests

(1 points each) evenly distributed throughout the semester. ;


20 points;

Final oral exam encompassing the presentation of pratical work based on

laboratories and tutorials that provides maximum 40 points

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course topics.












course.

Prerequisites

Telecommunication Techniques 1,

Software Engineering

Module title Communication Protocols and Networks

Module code ETF TKO KPM I-3660

Program ETF-B

Module

coordinator Dr Vladimir Lipovac, Full Professor

Teaching staff Dr Vladimir Lipovac, Full Professor

Aleksandar Mastilović, Teaching Assistant

Year of study 3

Semester 6


ECTS 5

Lectures 40

Laboratory

exercises 13

Tutorials 7

Workload –

Independent

Study

65

Module outcomes

Students acquire basic theoretical and practical knowledge necessary for study

of basic elements of computer communication networks:

Identification and classification of computer communication network

elements. Classification and formulation of parameters necessary to describe

network elements and network processes. Analysis of protocols in

communication networks. Application of learned theorethical knowledge

during practical synthesis and analysis of communication networks.

Demonstrate ability to apply acquired design, implementation, testing and

exploitation skills in communication networks.

Module content

1. Characteristics of public telecommunication networks and WANs.

Connection-oriented and connectionless transmission. Packet and

message switching. OSI-ISO reference model. Physical layer interface.

Transmission techniques. PDH and SDH.

2. Communication protocols basics. Data link protocols. Link control.

HDLC protocol. X.25 packet networks. Networks with integrated

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services (ISDN). ISDN signaling protocols.

3. Frame Relay example. ISDN;

4. ATM example.

5. Local area networks (LAN). Transmission medium access techniques.

LAN standards: IEEE 802.2 and 802.3, 10/100/1000BaseT. Inter-

connecting LAN networks; regenerators/amplifiers, bridges, switches,

routers and gateways.

6. Architectures and structures at the network layer. IP protocol.

Addressing, name resolution (DNS, NetBIOS), IP address class, sub-

network mask. IPv6.

7. Routing basics. Routing problems. Routing protocols (EGP, BGP; RIP,

OSPF). OSI routing protocols.

8. Transport protocols; TCP and UDP.

9. Session layer. Presentation layer. Application protocols; FTP, HTTP.

E-mail protocols: SMTP, POP3, IMAP. Comparison between the

TCP/IP and OSI models.

10. Networks management - performance and configuration. Standards;

SNMP and RMON.

Literature

Recommended

1. Notes and slides from lectures (Available at Faculty WEB Site);

2. V. Lipovac, Osnove komunikacijskih protokola i prijenosa podataka;

više original documents and tutorials for LAN/WAN communication

protocols and technologies (Available at Faculty WEB Site);

3. A. S. Tanenbaum, Computer Networks, Prentice-Hall, 2004.

Additional 1. B. Sklar, S. Y. Liao, DigitalCommunications – Fundamentals and

Applications, Prentice-Hall, Englewood Cliffs, NJ, 1988.

Didactic methods









Laboratory exercises, under tutor guidance, have objective for students to

check knowledge gained through lectures using appropriate software.

Exercises are organized so that each student has a personal computer and

laboratory equipment to perform foreseen activities.

Assessment





assignments/tests (maximum 4 points) equally distributed throughout the

semester and laboratory reports (maximum 6 points) .


points.

Each partial exam lasts 90-120 minutes and it is structured as follows:



points;



One to three open-answer problems; correct answer to all problems earns

10 points.



of 85








following manner:



(less then 10 points);










Prerequisites

Fundamentals of Computing


Module title Fundamentals of Signaling Protocols

Module code ETF TKI OSP I-3650

Programme ETF-B

Module


Teaching staff Associate Professor Mirko Škrbić, PhD.


Year of study 3

Semester 6


ECTS 4

Lectures 31

Laboratory

exercises 7

Tutorials 7

Workload –

Independent

Study

55

Module outcomes

The students should acquire knowledge about Signalling Systems and

protocols as the part of Control in the nodes of existing telecommunications

networks. In this way, the students achieve fundamental engineering skills,

knowledge and competence needed to make an approach to testing of

correctness of existing protocols and design of applications based on

signalling in practice. The module will provide the access to the

methodologies relevant for understanding of software techniques applied in

the signalling protocols and applications design.

Module content

1. Introduction in signalizations: Standards for signaling systems.

Types of signalization. Telephone systems signalizations.

Signalization of telephone-switchboard. Signalization between

switchboards. Channel Associated Signalization (CAS). Common

Channel Signalization (CCS). System of signalization no.7 (SS7):

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SS7 network architecture. Identification of signaling points (SP)

and trunks (SG). Switching Service Point (SSP). Signalization

Transit Point (STP). Service Control Point (SCP).

2. SS7 Message Transmission Part (MTP): Architecture. Level of

signaling line of data (MTP L1). Level of signaling line (MTP L2).

Functions of network signaling. Error detection. Error correction.

Errors surveillance. MTP level 3. Function of network

signalization. Management functions of signalization traffic,

conduits and routes. MTP3 signalization message. Management

functions. MTP3 management of signalization network.

3. Telephone user part: Messages and primitives. Signals and

messages of call control. Basic signaling sequences. TUP support

of additional services. TUP signalization version.

4. The digital user signalization: Introduction in the ISDN and DSS1.

DLL level (LAPD). Q.931 messages of calls control. Introduction

in messages of calls control. Examples of calls control.

5. ISDN user part: ISUP messages, formats and parameters.

Signalization for calls between the ISDN users. Calls towards

analogic subscribers. End-to-end signalization. Signalization

procedures. ISUP signalization in international networks. ISUP

additional services.

6. Signalization in mobile telecommunications: GSM messages.

Introduction in GSM signalization. GSM formats and message

parameters. GSM signaling procedures. Signalization in cellular

systems. Signalization between mobile and network. Message of

layer 3 on the Um interface. Other signaling protocols in PLMN

network. Bases of GPRS and UMTS signalizations.

7. Application level protocol of intelligent networks: INAP

architecture. INAP formats. INAP procedures.

8. Signaling Connection Control Part: Architecture. Services. SCCP

Formats. SCCP messages and parameters. SCCP procedures. SCCP

connection and non-connection oriented. SCCP management.

9. Transaction Capabilities Application Part: TCAP information

elements. TCAP formats and coding. Transactional identities.

10. Mobile Application Part: Transactions for the registration and

authentification. Call towards mobile stations. Operations for the

intersystem Handoff. IS-MAP formats and codes. GSM-MAP.

Operations applied to updating locations. Operation and procedure

for outgoing calls. MAP protocol. MAP services. Description of

MAP services. MAP procedures.

11. Broadband signaling platform: Broadband ISDN user part for

CCSS7. Signalization of broadband access DSS2.

12. B-ISUP Signalization: B-ISUP purpose. B-ISUP review. B-ISUP

NNI. Messages and parameters. Examples of B-ISUP operations.

13. ATM signalization review: Signaling interfaces and protocols.

Example of ATM connection.

14. User-networks Interface (UNI) signalization. Broadband signaling

stacks. UNI messages and information elements. Detailed review

of UNI operations. Detailed about information elements of Q.931

messages. Point-to-Point calls. Point-to-multipoint calls: Signaling

AAL (SAAL). Specific Service Connection-Oriented Protocol -

SSCOP. Specific Service Coordination Functions on the UNI

(SCCF-UNI). Specific Service Coordination Functions on the NNI

(SCCF-NNI).

15. Private Network-to-Network Interface (PNNI). Review of PNNI

protocols. PNNI routing protocol. PNNI signaling protocol. The

specific model of PNNI signalizations. PNNI metrics. PNNI as

hierarchies example. PNNI signaling messages.

16. .Protocols on the top of ATM. The classic IP across the ATM

(CLIP). LAN emulation across the ATM (LANE).

17. IP signaling architectures: Address Resolution Protocol (ARP).

Internet protocol (IP). Internet Control Message Protocol (ICMP).

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Transmission Control Protocol (TCP). User Datagram Protocol

(UDP). File Transfer Protocol (FTP). Simple Network

Management Protocol (SNMP). Next Step in Signalling (NSIS)

18. Review of VoIP protocol of control and signalization.

H.248/MEGACO. MGCP. Review of H.323 signalizations. RAS

signalization. Calls signalization. H.245 control signalization. SIP

architecture. Review of syntaxes SIP messages. Examples of

sequences SIP messages. Session Description Protocol (SDP).

19. VoIP and SS7: The reciprocal work of SS7 and VoIP. SS7 across

the IP. Sigtran protocol. Sigtran Protocol stack. SCTP (Stream

Control Transmission Protocol). Multi-homing. Multi-streaming.

Adaptation layer/SCTP border. M2PA (MTP2 Peer-to-Peer

protocol of adaptation layer. Definition of M2PA/MTP3 borders.

M2UA (MTP2 Protocol of user adaptation layer). M3UA (MTP3

Protocol of user adaptation layer). SUA. SCCP - Skinny Call

Control Protocol.

20. NGN network signalization: RSVP. NSIS. QoS of signaling

protocols. NSLP.

Literature

Recommended


2. Mirko Škrbić, "Čvorovi u telekomunikacionoj mreži" (The Nodes

in Telecommunications Network”, book , ETF Sarajevo

Additional

1. R.J. Manterfield, "Telecommunications Signalling", IEE

Telecommunications S., (November 1, 1999)

2. Gonzalo Camarillo, Miguel A. Garcia-Martin: The 3G IP

Multimedia Subsystem

3. John G. van Bosse, "Signaling in Telecommunication Networks",

Wiley-Interscience, 1st edition (January 15, 1997)

4. Hartmut Brand, Christian Hapket, "ATM Signalling: Protocols and

Practice", John Wiley & Sons; 1 edition (March 1, 2001)

5. Lee Dryburgh, Jeff Hewett, "Signaling System No. 7, Protocol,

Architecture, and Services", Cisco Press; 1st edition (August,

2004)

6. Travis Russell, "Signaling System # 7" (Hardcover), McGraw-Hill

Professional; 4 edition (June 25, 2002)

Didactic methods







of some Open source software applications like SIP Express Router and

Asterisk.



(7 hours).

Assessment







20 points;







of 85




course topics.












course.

Prerequisites


Software Engineering

Module title Electrical Engineering Materials

Module code ETF TKI ETM I-3650

Programme ETF-B PE, TC

Module

coordinator Dr Hasnija Šamić, Associate Prof.

Teaching staff Dr Hasnija Šamić, Associate Prof.

Bojan Nikolić, Teaching Assistant

Year of study 2

Semester 4


ECTS 5

Lectures 40

Laboratory

exercises 8

Tutorials 12

Workload –

Independent

Study

65

Module outcomes

After successfully completion of this course, students will have basic

knowledge of the structure of matter, classification of materials, their

properties and criteria for their selection used in manufacturing electrical

appliances and machinery.

These students will be able to identify and analyze problems, to solve medium

complexity material science problems using gained knowledge.

Also, students will learn how to understand and implement the design

methodologies with the use of appropriate tools.

They will know how to conduct searches for sources of information and to

perform experiments and analyze results.

Finally, students will improve their communication skills. They will able to

work as team members and to communicate effectively.

Module content

1. Introduction in materials science and technology: types of materials,

classification of materials, problems related to the selection, future

development in the materials application.

2. Basic concepts in materials science: atomic structure of matter,

chemical bonding, states of matter, solid state (crystal structure of

materials, amorphous structure); liquid state properties; gas state

(ideal gases, real gases; plasma: natural plasma, plasma formation).

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3. Basic non-electric properties of materials: mechanical properties,

thermal properties, chemical properties.

4. Electrical properties of materials: Basic definitions.. Physical theory

of electrical conduction of matter. Band theory of solids.

Classification of materials (conductors, semiconductors, insulators)

5. Conductors: electrical properties (conductivity, losses), classification

of conductors, high conductive materials, low conductive materials,

conductive materials for special application, electrolytes,

superconductors.

6. Semiconductors: electrical properties, conductivity, intrinsic and

impurity semiconductors, classification of semiconductors (basic

semiconductors, compound semiconductors), ideal and real P-N

junction and application (solar cell, LED, laser, detector),

semiconductors technology.

7. Dielectrics: basic properties (polarization, permeability, dielectric

losses, dielectric strength, electrical breakdown); ferroelectric,

antiferroelectric, piezoelectric, pyroelectric materials; classification

of insulating materials.

8. Magnetic materials: magnetic properties of materials, diamagnetism,

paramagnetism, ferromagnetic materials (hysteresis, eddy currents),

permanent magnets, antiferromagnetic materials, ferrimagnetic

materials. Soft and hard magnetic materials and their application.

Literature

Recommended

1. Notes and slides from lectures, http://www.etf.unsa.ba/

2. P.Osmokrović: “Elektrotehnički materijali”; Akademska

misao:Beograd;2003.

3. S.O.Kasap: “ Principle of Electrical Engineering Materials and

Devices”, McGraw Hill, , 2000.

Additional

1. W.D. Callister: "Material Science and Engineering", J. Wiley &

Sons, New York, 1997.

2. R.Flinn,P.Trojan,“Engineering materials and their applications”, J.

Wiley & Sons, New York, 1994.

Didactic methods


Lectures in a lecture hall for all students, presented by lecturer,

during which basic theoretical aspects of the electrical engineering

materials are presented The lectures consist of carefully prepared

presentations supported by appropriate simulations and videos.

Tutorials during which numerical problems are solved under

guidance of the tutor, and student can discuses possibilities of

application appropriate material with goal of achieving better

understanding of presented theoretic topics.

Laboratory exercises for experimental and virtual demonstration of

theoretic topics presented during lectures.

Assessment


Attending classes and tutorials: 10 points (maximum three absences

from lectures and/or tutorials are allowed);

Successfully completion of all laboratory exercises is condition for

taking the final exam;

On the final exam students can score maximum 90 points and to pass

that exam they need to have at least 45 points.

The final exam lasts 150 minutes and consists of :

Ten questions with offered possible answers (multiple choice form of

assessment) which could bring a maximum 20 points;

Three theoretical questions without offered answers to check whether

the student has theoretical knowledge and understanding of module

content. The correct answers to these questions can bring a maximum

of 45 points.

Two problems with open answers that bring maximum 25 points.

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Student who doesn’t achieve this, have to take the makeup exam. If student

didn’t have at least 45 points on the makeup exam he/she will have to retake

the course.

The final grade will be proposed to the students who collect more than 55

points during an academic year. The proposal of the final grade is formed on

the basis of the number of collected points.

The final oral exam is optional and applies only to students who are not

satisfied with the proposed final grade. The final oral exam consists of

questions related to the theoretical content of the course.

Prerequisites

There are no formal prerequisites for this module. However, fundamental

knowledge of Physics for Engineers 1, Physics for Engineers 2 and Basics of

Electrical Engineering is required for the students to be successful.

Module title Organization and Network Control

Module code ETF TKI OUM I-3650

Programme ETF-B TC

Module

coordinator

Teaching staff

Year of study 3

Semester 6


ECTS 4

Lectures 29

Laboratory

exercises 7

Tutorials 14

Workload –

Independent

Study

50

Module outcomes

Course goal is to present basic concepts of network technologies and

topologies, and organization and network control. Students acquire

theoretical and practical knowledge about organization and network control.

Module content

1. Network technologies: Historical review of development

telecommunication networks. Network topologies. Network

organizations with the channel commutation. Network

organizations with the packet commutation.

2. Data communications and review of network controls. Data and

telecommunication networks. TCP/IP based networks (Internet and

Intranet). Communication protocols and standards. Communication

architecture. Protocol layers and services. Cases of networking and

control. Network problems. Aims, organization and functions of

network control. Network preparations. Network operations and

NOC. System of network control. Network and system control.

The current status and future of network control.

3. Review of computer network technologies: Network topology.

LAN. Ethernet. Fast Ethernet. Full Duplex. Ethernet. Switched

Ethernet. Virtual LAN. Token Ring. FDDI. Components of

network nodes. WAN networks. The transmit technologies.

Integrated services (ISDN, Frame Relay, broadband).

4. Standards, models and language: Standards of network controls.

Models of network control. The organizational model. The

information model. The communication model. Terminology,

symbols and convention. Objects and data types. The coded

structure. Macros. The functional model.

5. SNMPv1 network control: Organization and information models.

Examples of network controls. SNMP model. The organizational

model. Information model. Communication models. Functional

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models. Architectures of SNMP. Specifications of SNMP protocol.

SNMP operations.

6. SNMPv2 network control: Architectures of SNMPv2 system.

SNMPv2 structures of control information. SNMPv2 protocol.

7. SNMPv3 network control; SNMPv3 key characteristics.

Architecture SNMPv3. SNMPv3 applications. SNMPv3

management information base. Security. SNMPv3 user-oriented

security model. Authentification protocols. Encryption protocol.

Access control.

8. OSI control systems: ODP/OMG CORBA as technology for

telecommunication network controls.

9. The remote monitoring: RMON1. RMON2. ATM remote

monitoring.

10. Broadband networks control: Broadband networks and services.

ATM technology. ATM network control. Broadband access

networks. Broadband access technology. HFC technology. HFC

control. xDSL technology. xDSL control.

11. TMN: TMN conceptual model. TMN standards. Architecture of

TMN. TMN control service architecture. TMN integrated review.

Implementation results. Protocol analyzer. Network statistics of

measured systems. Network control system. Network control

commercial systems. System administration. Solutions of

commercial system control.

12. Application of network control: Configurations of controls. Control

imperfections. Control performances. Correlation case techniques.

Control safety. Control account.

13. Reports of control. Control based on rules.

14. Web based control: Web interface and Web access. The local and

remote access. SNMP managing of Web interface. The built-in

Web based control. Desktop control interfaces. Web based

company management. Java API control. Future controls.

15. Examples of controls: Examples of fixed, mobile, satellite

networks control. Examples of CATV control. Examples of

Internet controls.

Literature

Recommended


2. T. Aattalainen "Introduction to telecommunications Network

Engineering”, Artech House 2003

Additional

1. T. Saadawi "Fundamentals of Telecommunication Networks”,

John Wiley & Sons, Inc., 1994John G. van Bosse, "Signaling in

Telecommunication Networks", Wiley-Interscience, 1st edition

(January 15, 1997)

Didactic methods

Lectures are presented directly in lecture-hall. Throughout

tutorial, under guidance of tutor, typical problems are solved,

including problems from previous exams. Throughout

laboratory exercises, under guidance of tutor, experiments are

carried out in laboratory. Lectures, slides, tutorials,

preparations for lab exercises, and additional information are

available at Faculty Courseware: http://c2.etf.unsa.ba.

Assessment







20 points;




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course topics.












course.

Prerequisites

Module title Television Technologies

Module code ETF TKI TT I-3650

Programme ETF-B TK

Module


Teaching staff


Dr Himzo Bajrić, Associate Professor

Jasna Zečić, MSc

Kenan Turbić, MoE, Teaching Assistant

Year of study 3

Semester 6


ECTS 4

Lectures 29

Laboratory

exercises 14

Tutorials 7

Workload –

Independent

Study

50

Module outcomes

Students acquire necessary fundamental knowledge of the principles and

standards of production, transmission and reproduction of television signals.

Discussion is used to lead students to recognize reasons for introducing

standards in television technology, and the factors that need to be

considered when designing television systems. Thus, students gain

knowledge and skills necessary for analyzing the problem, developing

solutions, and predict new trends in television technologies.

Module content

1. Physical fundamentals of TV: Light sources, Human visual system,

Additive and subtractive colour mixing

2. Television picture: Optoelectrical conversion, Scanning, Interlace vs.

Progressive scanning

3. Television standards: Resolution, Viewing distance, Kell factor,

Composite video signal, Video signal in frequency domain, Spectral

charachteristics of the video signal, Channel Bandwidth, Comparison of

the most important TV standards, Modulation of the composite video

signal

4. Fundamentals of colour television: Monochrome and colour TV systems

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compatibility, Luminance and chrominance, Colour subcarrier,

Modulation of CCVS, Synthesis of the colour TV picture, Different

types of colour picture tubes, LCD displays

5. Analogue colour television standards: NTSC, PAL, SECAM, PAL

encoder and decoder characteristics, Chrominance amplitude reduction,

Cancellation of phase errors

6. Digital video signal: Digitalization of video signals, Comparison of

analogue and digital video signals, Digital composite and component

video signals, Pulse code modulation of video signal

7. Video compression: redundancy in TV picture - psychophysical and

statistical, Video data reduction techniques, Reduction with and without

losses, Family of MPEG standards and configuration of the MPEG-2

encoder

8. Television cameras: Television camera tubes, Solid state image scanners,

Types of charge transfers: CCD - FT, CCD-ILT, F-ILT.

9. Video recording: Video recording media, Basic principles of magnetic

recording, Video tape recording (VTR), Digital VTR

10. TV transmitter and TV receiver: Basic concepts, TV transmitter circuit,

TV receiver circuit

11. Digital Television Transmission Standards: Channel coding and

modulation, Programm stream, Transport stream, DVB-SI, DVB-S,

DVB-T, DVB-C.

12. Transmission problems in terrestrial network: Multipath propagation,

Fast and frequency-selective multipath fading, Inter-symbol

interference in frequency-selective channels

13. Transmission techniques: Orthogonal frequency division multiplex

(OFDM), higer order quadrature amplitude modulation (QAM),

Hierarchical modulation, Single-frequency and Multi-frequency

networks (SFN vs. MFN)

14. Service area: Calculation of coverage area for DVB-T, key components

influencing signal level at the receiver, Link budget calculations,

Software tools for planning and graphical presentation of field and

received signal strength (service area): Radio mobile

Literature

Recommended 1. Lecture notes and slides (handed to students at the start of semester)

Additional

1. Aleksandar Louis Todorović: “Television Technology Demystified”

2. J. Whitaker, K. Benson: “Standard Handbook of Video and Television

Engineering”

3. Y. Wang, J. Ostermann, Y. Zhang: “Digital Video Processing and

Communications”

4. R.R. Gulati: “Monochrome and Color Television”

5. Herve Benoit: “Digital Television – Satellite, Cable, Terrestrial, IPTV,

Mobile TV in the DVB Framework”

6. John Arnold, Michael Frater, Mark Pickering : “Digital Television –

Technology and Standards”

Didactic methods


discussing the problems which cover course material (29 hours), in a way

that enables students to acquire knowledge and skills which need to be



to practically test their knowledge gained during the lectures using Matlab.



(7 hours).

Assessment


3. Attending classes, exercises and tutorials: 10 points for students with

less than four absences from lectures and / or tutorials

of 85

4. Homework: a maximum of 10 points is divided up to 2 home works (5

points each) evenly distributed throughout the semester.

5. Partial exams: two partial exams, each partial exam with a maximum of

20 points;

6. Final oral exam that provides maximum 40 points




classes, homework and partial exams. On each partial examination the

student must achieve a minimum of 10 points.



course topics.








attending classes, homework, and partial exams.




course.

Prerequisites


Telecommunication Techniques 2

Module title Final thesis

Module code ETF TKO ZR 36130

Study programme ETF-B TC

Responsible

teacher

Teaching Staff

Full prof. Dr Melita Ahić-Đokić

Full prof. Dr Mujo Hebibović

Full prof. Dr Jasmin Velagić

Associate prof. Dr Nijaz Hadžimejlić

Associate prof. Dr Sead Kreso

Associate prof. Dr Jasna Pašić

Associate prof Dr Mustafa Musić

Associate prof. Dr Abdulah Akšamović

Doc. Dr Samim Konjicija

Doc. Dr Bakir Lačević

Doc. Dr Adnan Tahirović

Full prof. Dr Narcis Behlilović

Full prof. Dr Melita Ahić-Đokić

Full prof. Dr Vladimir Lipovac

Full prof. Dr Ivo Kostić

Associate prof. Dr Mesud Hadžialić

Associate prof. Dr Mirko Škrbić

Associate prof. Dr Nijaz Hadžimejlić

Assistant prof. Dr Saša Mrdović

Assistant prof. Dr Jasmina Baraković

Assistant prof. Dr Irfan Turković

Assistant prof. Dr Kemal Huseinović

Assistant prof. Dr Moamer Hasanović

Assistant prof. Dr Smajo Bišanović

Year 3

Semester 6


ECTS 12

of 85

Total Workload 300

Module goal - Knowledge and skill to be achieved by the students

In implementing and defending their final thesis students shall:

1. master their skills in solving practical problems within the scope of the

study programme and by using theoretical knowledge and practical skills

gained during the study

2. improve and demonstrate ability to search literature in the area of their

studies, to interpret relevant data, to make conclusions including

reflections on relevant social, scientific and ethical issues.

3. validate their written and oral communication skills, and ability to transfer

information, ideas, and solutions in the written (final thesis) and oral form

(presentation and defence of the thesis

4. demonstrate ability to decompose a complex problem, to model and

formally describe the problem, conduct an experiment, and write an

expert technical document

5. demonstrate ability to perform a literature review and research

independently.

Syllabus

1. Problem definition. Hypothesis, task, project. Literature review. Method

selection.

2. Practical work plan. Practical work implementation (software, model,

device). Conducting the experiment. Developed solution verification and

validation.

3. Consultation, for-against debate, adopting suggestions, time planing and

meeting deadlines.

4. Interim text version drafting. Expert and technical writing. Literature

review. Citations. Methods assessment. Interpreting the results. Formal and

visual results presentation.

5. Completing the thesis, adoption of the adviser suggestions and comments.

Text editing.

6. Results presentation. Writing presentation. Oral presentation. Presentation

techniques, time and content planning. Focus on important issues and on

personal achievements. Answering questions.

Literature

Recommended Defined in thesis description.

Additional Defined in thesis description.

Didactic methods

Problem/task/project/hypothesis definition. Guidance and advising. Deadlines

planning. Consultative work. Independent work. Guiding student through

independent literature review. Project/software/device implementation. Technical

paper writing. Validating / systematization / presenting results. Conducting

experiment / simulation.

Assessment

1. Plan and activities for timely completion: 20 points;

2. Practical and implementation: 30 points;

3. Final thesis: 20 points;

4. Writing presentation: 10 points;

5. Oral presentation: 20 points.

Pre-requisites

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