SELF ASSESSMENT REPORT...given in the Self-Assessment Manual provided by Higher Education Commission...
Transcript of SELF ASSESSMENT REPORT...given in the Self-Assessment Manual provided by Higher Education Commission...
RIPHAH INTERNATIONAL UNIVERSITY
ISLAMABAD
SELF ASSESSMENT REPORT
M.Sc. Mathematics
Department of Basic Sciences
30th June 2019
Prepared by: Department of Basic Sciences (DBS)
Reviewed and Edited by: Quality Enhancement Cell
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Table of Contents
1.0 Executive Summary ................................................................................................. 6 1.1 Objectives ............................................................................................................. 6 1.2 Execution .............................................................................................................. 6
Self-Assessment Report ............................................................................................... 8 2.0 Introduction .............................................................................................................. 8
2.1 University Mission Statement .............................................................................. 8 2.2 Department of Basic Sciences (DBS) .................................................................. 8 2.3 Program Selected .................................................................................................. 9 2.4 Program Evaluation .............................................................................................. 9
3.0 Criterion 1: Program Mission, Objectives and Outcomes ....................................... 9 3.1 Standard 1-1 ......................................................................................................... 9
3.1.1 Program Mission Statement .......................................................................... 9 3.1.2 Program Objectives ....................................................................................... 9 3.1.3 Alignment of Program Objectives with Program & University Mission Statements ................................................................................................................. 10 3.1.4 Main Elements of Strategic Plan ................................................................. 10
3.2 Standard 1-2 ....................................................................................................... 11 3.2.1 Program Outcomes ...................................................................................... 11
3.3 Standard 1-3 ....................................................................................................... 12 3.3.1 Course Evaluation ....................................................................................... 12 3.3.2 Teachers Evaluation .................................................................................... 14
3.4 Standard 1-4 ....................................................................................................... 17 3.4.1 Graduates/Undergraduates enrolled in last three years ............................... 17 3.4.2 Student Faculty Ratio:................................................................................. 17 3.4.3 Average GPA per semester: ........................................................................ 18 3.4.4 Employer Satisfaction ................................................................................. 18 3.4.5 Students Course Evaluation Rate ................................................................ 18 3.4.6 Research ...................................................................................................... 18 3.4.7 Students/Teachers Satisfaction ................................................................... 18
4.0 Criterion 2: Curriculum Design and Organization ................................................. 19 4.1 Title of Degree Program ..................................................................................... 19 4.2 Definition of credit hour: .................................................................................... 19 4.3 Degree plan ........................................................................................................ 19
Course Code .............................................................................................................. 19 Course Code .............................................................................................................. 19 Degree Scheme of Studies (Four Semesters) ............................................................ 20 MAT 411 ................................................................................................................... 20 MAT 412 ................................................................................................................... 20 MAT 413 ................................................................................................................... 20 Sub-TOTAL .............................................................................................................. 21 MAT xxx ................................................................................................................... 21 MAT xxx ................................................................................................................... 21 MAT xxx ................................................................................................................... 21
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MAT xxx ................................................................................................................... 21 MAT xxx ................................................................................................................... 21 4.3.1 MAT 401 Advanced Calculus .................................................................... 21 4.3.2 MAT 402 Linear Algebra ........................................................................... 22 4.3.3 MAT 403 Set Topology .............................................................................. 23 4.3.4 MAT 404 Ordinary Differential Equations................................................. 24 4.3.5 MAT 405 Differential Geometry ................................................................ 24 4.3.6 MAT 406 Group Theory-I .......................................................................... 25 4.3.7 MAT 407 Complex Analysis ...................................................................... 26 4.3.8 MAT 408 Numerical Methods .................................................................... 26 4.3.9 MAT 409 Real Analysis ............................................................................. 27 4.3.10 MAT 410 Analytical Mechanics ................................................................. 28 4.3.11 MAT 411 Functional Analysis I ................................................................. 29 4.3.12 MAT 412 Partial Differential Equations ..................................................... 29 4.3.13 MAT 413 Mathematical Statistics .............................................................. 30 4.3.14 MAT 451- Rings and Fields ....................................................................... 31 4.3.15 MAT 452 Measure and Integration ............................................................. 31 4.3.16 MAT 453 Special Functions ....................................................................... 32 4.3.17 MAT 454 Operations Research .................................................................. 33 4.3.18 MAT 455 Optimization Theory .................................................................. 33 4.3.19 MAT 456 Functional Analysis II .............................................................. 34 4.3.20 MAT 457 Discrete Mathematics ................................................................. 35 4.3.21 MAT 458 Theory of Modules ..................................................................... 36 4.3.22 MAT 459 Analytical Dynamics ................................................................. 36 4.3.23 MAT 460 Fluid Mechanics I ....................................................................... 37 4.3.24 MAT 461 Fluid Mechanics –II .................................................................. 38 4.3.25 MAT 462 Plasma Theory........................................................................... 38 4.3.26 MAT 463 Combinatorics ........................................................................... 39 4.3.27 MAT 464 Number Theory ......................................................................... 39 4.3.28 MAT 465 Group Theory II ......................................................................... 40 4.3.29 MAT 466 Calculus of Variations ................................................................ 41 4.3.30 MAT 467 Integral Equations ...................................................................... 42 4.3.31 MAT 468 Mathematical Modeling and Simulation .................................... 42 4.3.32 MAT 469 Numerical Analysis .................................................................... 43 4.3.33 UR 550 Professional Ethics ........................................................................ 43 4.3.34 MAT -499 Project Report ........................................................................... 45
4.4 Standard 2-1 ....................................................................................................... 46 4.4.1 Group 1: Pure Mathematics ........................................................................ 46 Advanced Calculus MAT 401, Linear Algebra MAT 402, Set Topology MAT 403, Group Theory I MAT 406, Complex Analysis MAT 407, Real Analysis MAT 409, Functional Analysis I MAT 411 ............................................................................... 46 4.4.2 Group 2 Applied Mathematics .................................................................... 46 Numerical Methods MAT 408, Analytical Mechanics MAT 410, Partial Differential Equations MAT 412, Mathematical Statistics MAT 413 Ordinary Differential Equations MAT 404, Differential Geometry MAT 405 ........................................... 46 4.4.3 Course Groups and Program Objectives ..................................................... 46
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4.5 Standard 2-2 ....................................................................................................... 46 Theoretical Background (Pure Mathematics) ........................................................... 47 Advanced Calculus MAT 401, Linear Algebra MAT 402, Set Topology MAT 403, Group Theory I MAT 406, Complex Analysis MAT 407, Real Analysis MAT 409, Functional Analysis I MAT 411 ............................................................................... 47 Problem Analysis & Solution Design (Applied Mathematics) ................................. 47 Numerical Methods MAT 408, Analytical Mechanics MAT 410, Partial Differential Equations MAT 412, Mathematical Statistics MAT 413 Ordinary Differential Equations MAT 404, Differential Geometry MAT 405 ........................................... 47
4.6 Standard 2-3 ....................................................................................................... 47 4.7 Standard 2-4 ....................................................................................................... 47 4.8 Standard 2-5 ....................................................................................................... 47 4.9 Standard 2-6 ....................................................................................................... 48 4.10 Standard 2-7 .................................................................................................... 48
5.0 Criterion 3: Laboratories and Computing Facilities .............................................. 48 5.1 Standard 3-1 ....................................................................................................... 49 5.2 Standard 3-2 ....................................................................................................... 50 5.3 Standard 3-3 ....................................................................................................... 50
6.0 Criterion 4: Student Support and Advising ............................................................ 51 6.1 Standard 4-1 ....................................................................................................... 51 Courses must be offered with sufficient frequency and number for students to complete the program in a timely manner. ................................................................................... 51 6.2 Standard 4-2 ....................................................................................................... 51 6.3 Standard 4-3 ....................................................................................................... 52
7.0 Criterion 5: Process Control................................................................................... 52 7.1 Standard 5-1 ....................................................................................................... 52 7.2 Standard 5-2 ....................................................................................................... 53 7.3 Standard 5-3 ....................................................................................................... 54 7.4 Standard 5-4 ....................................................................................................... 54 7.5 Standard 5-5 ....................................................................................................... 55
8.0 Criterion 6: Faculty ................................................................................................ 56 8.1 Standard 6-1 ....................................................................................................... 57 8.2 Standard 6-2 ....................................................................................................... 58 8.3 Standard 6-3 ....................................................................................................... 59
9.0 Criterion 7: Institutional Facilities ......................................................................... 59 9.1 Standard 7-1 ....................................................................................................... 59 9.2 Standard 7-2 ....................................................................................................... 60 9.3 Standard 7-3 ....................................................................................................... 60
10.0 Criterion 8: Institutional Support ........................................................................... 61 10.1 Standard 8-1 .................................................................................................... 61 10.2 Standard 8-2 .................................................................................................... 61 10.3 Standard 8-3 .................................................................................................... 62
11.0 Conclusion ............................................................................................................. 62
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List of Annexure
Annexure A: Alumni Survey
Annexure B: Employer Survey
Annexure C: Students Course Evaluation
Annexure D: Students Teacher Evaluation
Annexure E: Research Papers List
Annexure F: Graduating Students
Annexure G: Faculty Survey
Annexure H: Faculty Resume
Annexure I: Lab Safety Precautions
Annexure J: AT Findings
Annexure K: Implementation Plan
Annexure L: Faculty Course Review
Annexure M: Rubric Report
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1.0 Executive Summary
This report is being prepared almost at the end of the assessment cycle for
selected programs of Riphah International University, as per requirements
of Higher Education Commission (HEC). Quality Enhancement Cell (QEC)
was formed in Riphah in Oct 2009. Program Team Members of all faculties,
were notified by University. They worked with QEC to pursue the
application of Self-Assessment Manuals in their respective
departments/faculties.
Currently, in Faculty of Engineering and Applied Sciences (FEAS), MSc
Mathematics program was selected for self-assessment, evaluation and
improvements. A strong commitment of Respected Vice Chancellor, Dean
FEAS and HOD (Mathematics), to support QEC made the difference and
resultantly, 2nd cycle of assessment is about to complete.
1.1 Objectives
Following are the two main objectives of the self-assessment report:-
a To implement Self-Assessment Manual in selected program with a
view to improve quality in higher education.
b To identify the areas requiring improvements in order to achieve
objectives through desired outcomes.
1.2 Execution
A soft copy of self-assessment manual was given to all faculty members.
Quality Awareness Lectures and Workshops on preparation of Self
Assessment Report (SAR) were arranged for the In-charge Programs and
Program Team (PT) Members of the selected program. The PT members
with an intimate support and follow up of QEC, completed the SAR and
forwarded to QEC in given time frame.
After reviewing SAR, QEC arranged visit of Assessment Team to the
selected program.
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The Assessment Team, indicated salient points of the SAR, account of his
discussions with the faculty members, improvements required in the
infrastructure, syllabi and training of the faculty and support staff. A few
points were resolved during discussion. The implementation plan basing on
the discussions in exit meeting have been made by in-charge programs.
At the completion of Self-Assessment cycle, QEC will submit the hard and
soft copy of SAR to HEC before 30th July 2019.
Director
Quality Enhancement Cell
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Self-Assessment Report
2.0 Introduction
Riphah International University is a private university, chartered by the
Federal Government of Pakistan in 2002. The university was established
with a view to produce professionals with Islamic moral and ethical values.
The Riphah International University is committed to promote and impart
quality education with character building of the new generation in the light of
Islamic principles and values. Riphah International University is committed
to a value based integrated educational philosophy. It is running 7 faculties
in 3 different campuses.
2.1 University Mission Statement
Establishment of state of the art educational institutions with a focus on
inculcation of Islamic ethical values
2.2 Department of Basic Sciences (DBS)
Department of Basic Sciences is running following programs:
a. BS Mathematics 2018
b. BS Physics 2018
c. M. Sc. Mathematics 2009
d. M. Phil. Mathematics 2009
e. M. Phil. Physics 2010
f. MPhil Statistics 2012
g. Ph. D. Mathematics 2011
h. Ph. D. Physics 2011
i. Ph. D. Statistics 2014
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2.3 Program Selected
Riphah International University has selected the “MSc Mathematics” as
model program for Self-Assessment Report (SAR) for the year 2018-19
under the directives of HEC.
The program has got inbuilt mechanism for the revision of syllabi, has
competent faculty and adequate infrastructure. New and modern tools have
been introduced in the program to conduct research and quality teaching.
2.4 Program Evaluation
The program is being evaluated based on 8 criterion and 31 standards as
given in the Self-Assessment Manual provided by Higher Education
Commission (HEC)
3.0 Criterion 1: Program Mission, Objectives and Outcomes
3.1 Standard 1-1
The program must have documented measurable objectives that
support institution mission statements.
3.1.1 Program Mission Statement
M. Sc. Mathematics program aims to impart teaching, logical and
mathematical knowledge and skills to students along with sense of ethical
and moral obligations.
3.1.2 Program Objectives
The program is designed to achieve the following objectives:
1. To prepare the students to pursue higher education in universities of
repute.
2. To prepare the students for analytical thinking.
3. To educate the students with logical and mathematical skills
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4. To enable the students to pursue career in related fields
5. To impart technical skills (mathematical modeling, solution definition,
implementation) to the students.
6. To prepare the students to step into research and development (R&D)
activities in the related field.
3.1.3 Alignment of Program Objectives with Program & University
Mission Statements
Program objectives intend to impart not only theoretical information to
students but moral and ethical information as well. Riphah International
University provides a platform to students to get knowledge of their
desired field and learn the Islamic ways in order to carry out their duties.
3.1.4 Main Elements of Strategic Plan
3.1.4.1 Curriculum Design
Curriculum of M.Sc. Mathematics comprises of 32 core and elective
courses. The curriculum is designed to build the basic concepts of the
students and to help them attain the deep insight of the relevant field using
different courses and practical work.
Core subjects include computer fundamentals, network analysis, linear
circuit analysis, engineering ethics, electrical machines, digital logic
design, communication systems, engineering management,
communication skills and electronic circuits to name a few, whereas,
elective courses can be selected from a wide range of available courses.
3.1.4.2 Practical Work
Not Applicable
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3.1.4.3 Projects
During the program execution, every student is required to do small
subject related projects where required to testify his/her learning level.
These subjects’ related projects are designed to check the progress of
students in small level, while, in the final semester students are given
option either to carry out their final project or to complete course work.
3.1.4.4 Internships/Industrial Tours/Visual Demonstrations
University arranges the internships for students at defined stages during
the execution of program. The university keeps in touch with the potential
industrial and other units for student’s internship possibilities through a
very well defined system. Department of Basic Sciences has one Liaison
officer and one Students Affairs Officer who mutually look after the
possibilities for internships.
3.2 Standard 1-2
The program must have documented outcomes for graduating
students. It must be demonstrated that the outcome support the
program objectives and that graduating students are capable of
performing these outcomes.
3.2.1 Program Outcomes
1. Students shall be able to go for higher education (M.Phil./MS,
Ph.D.) in Mathematics.
2. Students shall be able to use mathematical techniques with more
effectively.
3. Students have ideas about mathematical modeling.
4. Students shall be able to give presentations.
5. Students will be able to perform technical and non-technical jobs in
various fields.
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6. Students shall be able to perform mathematical analysis of the
systems
7. Students shall be able to develop mathematical models and
implement the solutions.
8. Students shall be able to administer mathematical concepts in
various fields.
9. Students shall be able to perform research in related fields.
10. Students shall be able to execute tasks in positive and constructive
manner.
Program
Objectives
Program Outcomes
1 2 3 4 5 6 7 8 9 10
1 x
2 x x x x
3 x x x
4 x x x
5 x x x x
6 x x
Table 2: Outcomes versus Objectives
3.3 Standard 1-3
The results of Program’s assessment and the extent to which they are
used to improve the program must be documented.
The program assessment has been done by launching HEC Performa
number 1 and 10. The students of the program evaluated the courses and
teachers in the program.
3.3.1 Course Evaluation
Courses evaluation is shown in the following graphical chart:
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4.57
3.99 4
4.564.67 4.6 4.644.644.614.714.68
4.84
4.514.594.344.42
4.83
4.514.464.68
4.25
4.7 4.8 4.79
4.074.25
4.684.86
4.624.584.834.744.854.64
4.45
0
1
2
3
4
5
6
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35
Figure 1: Course Evaluation Bar Chart
Through this evaluation, students have graded the courses against the
structure, method of teaching, learning outcomes, objectives and practical
implementation of theory. The total graded marks are 5. `
Following is the list of courses that are being evaluated by the students
along with their course code and graded scores.
Sr. No
Course Marks
1. Advanced Calculus (1) 4.572. Advanced Calculus (2) 3.993. Advanced Calculus (3) 4 4. Analytical Mechanics (1) 4.56 5. Analytical Mechanics (2) 4.67 6. Complex Analysis (2) 4.6 7. Differential Geometry (1) 4.64 8. Differential Geometry (2) 4.64
9. Differential Geometry (3) 4.61 10. Functional Analysis-I 4.71 11. Group Theory-I (1) 4.68 12. Group Theory-I (2) 4.84 13. Integral Equations 4.51
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4.77 4.814.98 4.91
4.55
4.924.62 4.72
4.87
4.08
4.71
4.23
4.66 4.74
4.344.67
4.36 4.43 4.494.63
4.91 4.97
0
1
2
3
4
5
6
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22
14. Islamic Ethical Principles and Contemporary Issues (1) 4.59 15. Islamic Ethical Principles and Contemporary Issues (2) 4.3416. Islamic Ethical Principles and Contemporary Issues (3) 4.4217. Linear Algebra (1) 4.83 18. Linear Algebra (2) 4.51 19. Linear Algebra (3) 4.46 20. Mathematical Statistics 4.6821. Numerical Methods (1) 4.25 22. Numerical Methods (2) 4.7 23. Operation Research 4.8 24. Ordinary Differential Equations (1) 4.79 25. Ordinary Differential Equations (2) 4.07 26. Ordinary Differential Equations (3) 4.2527. Personality Development (1) 4.68 28. Personality Development (2) 4.86 29. Professional Ethics I 4.62 30. Real Analysis (1) 4.58 31. Real Analysis (2) 4.8332. Rings& Fields 4.74 33. Set Topology (1) 4.85 34. Set Topology (2) 4.64 35. Set Topology (3) 4.45
3.3.2 Teachers Evaluation
Teacher’s evaluation is shown in the following graphical chart:
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4.17
4.86
4.62
4.864.91
4.62
4.78
4.66
4.9
4.73
4.88
4.74
4.54 4.56
4.34 4.34
4.76
4.88
4.56
3.8
4
4.2
4.4
4.6
4.8
5
23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41
Figure 2: Teachers Evaluation Graph
Through this evaluation, students have graded the teachers against lecture
preparation, punctuality, general behavior, subject knowledge and teaching
method. The total graded marks are 5.
Following is the list of teachers that are being evaluated by the students
along with the serial number and graded scores.
Sr. No Teacher Name Course Name Marks 1. Noor Rehman Elements of Set Theory and Logic 4.772. Abbas Ali Group Theory-I (1) 4.813. Abbas Ali 2 Group Theory-I (2) 4.984. Abbas Ali b3 Set Topology (1) 4.915. Abdullah Shoaib Advanced Calculus (1) 4.556. Adnan Ahmad Operation Research 4.927. Adnan Saeed Butt Partial Differential Equations 4.628. Adnan Saeed Butt 2 Analytical Mechanics (2) 4.729. Ambreen Arshad Calculus-I 4.8710. Ambreen Arshad 2 Ordinary Differential Equations (2) 4.0811. Ambreen Arshad 3 Numerical Methods (2) 4.7112. Dr Farid Khan Ordinary Differential Equations (3) 4.2313. Dr. Javed Iqbal Differential Geometry (3) 4.6614. Dr. Muhammad Asad
Zaighum Functional Analysis-I 4.74
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15. Dr. Muhammad Junaid Nadvi
Islamic Ethical Principles and Contemporary Issues (1)
4.34
16. Dr. Muhammad Junaid Nadvi 2
Personality Development (1) 4.67
17. Dr. Muhammad Junaid Nadvi 3
Islamic Ethical Principles and Contemporary Issues (3)
4.36
18. Dr. Nazir Ahmed Mir Numerical Methods (1) 4.4319. Dr. Shahid Farooq Complex Analysis (2) 4.4920. Hafiz Bilal Professional Ethics I 4.6321. Hafiz Naveed English-I 4.9122. Hafiz Waqas Khan Islamic Studies 4.9723. Hammad Nafees Advanced Calculus (2) 4.1724. Hammad Nafees 2 Real Analysis (2) 4.86 25. Hammad Nafees 3 Real Analysis (1) 4.6226. Mr Mudasir Shams Ordinary Differential Equations (1) 4.8627. Mr Mudasir Shams 2 Integral Equations 4.9128. Ms. Rehana Rahim Differential Geometry (2) 4.6229. Ms. Rehana Rahim Differential Geometry 4.7830. Muhammad Farooq Analytical Mechanics (1) 4.6631. Muhammad Zeshan Ayub Introduction to Business
Administration4.9
32. Noor Rehman Rings& Fields 4.7333. Noor Rehman Linear Algebra (1) 4.88
34. Sadia Nadir Mathematical Statistics 4.7435. Salma Shehzadi Kanwal Linear Algebra (2) 4.54
36. Salma Shehzadi Kanwal 2 Linear Algebra (3) 4.56
37. Salma Shehzadi Kanwal 3 Advanced Calculus (3) 4.34
38. Sami Ud Din Islamic Ethical Principles and Contemporary Issues (2)
4.34
39. Sami Ud Din Personality Development (2) 4.7640. Syed Sherjeel Gillani Programming Fundamentals 4.8841. Mr. Mehar Ali Malik Set Topology (3) 4.56
Faculty carried out in house discussion and analyzed the feedback and
identified the areas of improvement. A discussion with In charge graduate
stream was also held. They decided to go through the identified areas in
Board of Studies to finalize the recommendations for improvement to be
presented in Board of Faculty and Academic Council.
Riphah_DBS_MSc_Mathematics_June 2019 17
The Dean and In charge Program also discussed the teachers evaluation
results and decided to carry out counseling of teacher who are below par. It
was also decided to conduct training sessions for teachers who are not
performing at expected level.
The strengths and area requiring focus of the program are:
Strengths
a. Coherent, on time and uninterrupted semester system
b. Efficient and capable senior faculty
c. Market oriented course contents
Area Requiring Focus
a. Inadequate seating capacity in the class rooms
b. Training of Junior Faculty members
c. Lack of Information technology component in the curriculum
d. Oral and written communication skills of the student need to develop
e. Low use of VLE
f. Overloaded Faculty Members
3.4 Standard 1-4
The department must assess its overall performance periodically
using quantifiable measures.
3.4.1 Graduates/Undergraduates enrolled in last three years
A Total of 1719 students (Graduate Program) enrolled during the last
three year as per following yearly breakdown:
Year 2016 397
Year 2017 434
Year 2018 887
3.4.2 Student Faculty Ratio:
20-1
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3.4.3 Average GPA per semester:
Average GPA per semester for the batch enrolled in year 2010 is as under: Semester 1 2.1 Semester 2 2.57 Semester 3 2.51 Semester 4 2.13
3.4.4 Employer Satisfaction
80% employers are satisfied with the performance of our graduates.
Annexure B shows an overall response of employers against different
categories.
3.4.5 Students Course Evaluation Rate
Average student evaluation for all courses is 18.5.
3.4.6 Research
The list of research publication of the faculty members are attached in
Annex E.
3.4.7 Students/Teachers Satisfaction
As per HEC defined standard, a ratio of 4:1 for the academic and
administrative non-technical staff is maintained by the faculty of
computing.
Students and teachers satisfaction is judged in different ways. For
students this is done by faculty as well as QEC staff by conducting in-
class discussions to know students views and through feedback
provided by them on HEC Performa number 1 & 10. While, teachers
satisfaction is judged using the HEC defined Performa number 5 and
their views during in-person discussion with QEC staff.
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4.0 Criterion 2: Curriculum Design and Organization
4.1 Title of Degree Program
M. Sc. Mathematics
4.2 Definition of credit hour:
One credit hour is 1 hours of theory lecture or 3 hours of laboratory work in
a week.
4.3 Degree plan
Following is the list of courses taught in the selected program..
Compulsory Courses
Course Code Course Title LT LB CR
MAT 401 Advanced Calculus 3 0 3MAT 402 Linear Algebra 3 0 3MAT 403 Set Topology 3 0 3MAT 404 Ordinary Differential Equations 3 0 3MAT 405 Differential Geometry 3 0 3MAT 406 Group Theory I 3 0 3MAT 407 Complex Analysis 3 0 3MAT 408 Numerical Methods 3 0 3MAT 409 Real Analysis 3 0 3MAT 410 Analytical Mechanics 3 0 3MAT 411 Functional Analysis I 3 0 3MAT 412 Partial Differential Equations 3 0 3MAT 413 Mathematical Statistics 3 0 3UR 550 Professional Ethics 2 0 2
Elective Courses
Course Code Course Title LT LB CR
MAT 451 Rings and Fields 3 0 3MAT 452 Measure and Integration 3 0 3MAT 453 Special Functions 3 0 3MAT 454 Operation Research 3 0 3MAT 455 Optimization Theory 3 0 3MAT 456 Functional Analysis II 3 0 3MAT 457 Discrete Mathematics 3 0 3MAT 458 Theory of Modules 3 0 3MAT 459 Analytical Dynamics 3 0 3MAT 460 Fluid Mechanics I 3 0 3MAT 461 Fluid Mechanics II 3 0 3MAT 462 Plasma Theory 3 0 3
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MAT 463 Combinatory 3 0 3MAT 464 Number Theory 3 0 3MAT 465 Group Theory II 3 0 3MAT 466 Calculus of Variations 3 0 3MAT 467 Integral Equations 3 0 3MAT 468 Mathematical Modeling and Simulation 3 0 3MAT 469 Numerical Analysis 3 0 3MAT 499 Project Report 0 0 6
Degree Scheme of Studies (Four Semesters)
First Semester Title LT LB CR
MAT 401 Advanced Calculus 3 0 3MAT 402 Linear Algebra 3 0 3MAT 403 Set Topology 3 0 3MAT 404 Ordinary Differential Equations 3 0 3MAT 405 Differential Geometry 3 0 3UR 550 Professional Ethics 1 0 1 Sub-
TOTAL 16
Second Semester
Title LT LB CR
MAT 406 Group Theory I 3 0 3MAT 407 Complex Analysis 3 0 3MAT 408 Numerical Methods 3 0 3MAT 409 Real Analysis 3 0 3MAT 410 Analytical Mechanics 3 0 3UR 550 Professional Ethics (Continued) 1 0 1 Sub-
TOTAL 16
Third Semester Title LT LB CR
MAT 411 Functional Analysis I 3 0 3
MAT 412 Partial Differential Equations 3 0 3
MAT 413 Mathematical Statistics 3 0 3
MAT xxx Elective-I 3 0 3MAT xxx Elective-II 3 0 3
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Sub-TOTAL
15
Fourth Semester
Title LT LB CR
MAT xxx Elective-III 3 0 3
MAT xxx Elective-IV 3 0 3
MAT xxx Elective-V 3 0 3
MAT xxx Elective-VI 3 0 3
MAT xxx Elective-VII 3 0 3
15
TOTAL: 62 4.3.1 MAT 401 Advanced Calculus 4.3.1.1 Credit hours: 03
4.3.1.1.1 Course Objectives:
At the end of this course the students will be able to understand the basic set theoretic statements and emphasize the proofs’ development of various statements by induction. Define the limit of, a function at a value, a sequence and the Cauchy criterion. Prove various theorems about limits of sequences and functions and emphasize the proofs’ development. Define continuity of a function and uniform continuity of a function, prove various theorems about continuous functions and emphasize the proofs’ development. Define the derivative of a function of one and several variable, prove various theorems about the derivatives of functions and emphasize the proofs’ development. Define a cluster point and an accumulation point, prove, Rolles’s Theorem, extreme value theorem, boundedness theorem and the Mean Value theorem and emphasize the proofs’ development. Define Multiple and surface integrals and their evaluation techniques. 4.3.1.1.2 Course Contents: Algebraic and order properties of R, the completeness property, cluster points, open and closed sets in R. Sequences, the limit of a function, limit theorems. Boundedness theorem, maximum-minimum theorem and the intermediate value theorem; uniform continuity, the mean value theorem; Taylor’s theorem, Limit and continuity of functions of two and three variables; partial derivatives; differentiable functions, regions in the x-y plane, iterated integrals, double integrals, change in the order of integration, transformation of double integrals,
Riphah_DBS_MSc_Mathematics_June 2019 22
Jordan curve, regular region, line integral, Green’s theorem, independence of the path, surface integrals, Gauss theorem. 4.3.1.1.3 Text Books:
1. Bartle, R.G. and Sherbert, D.R., Introduction to Real Analysis, John Wile Sons 1994.
4.3.1.1.4 Reference Books: Vladmir, A. Z.,. Mathematical Analysis-I & II, Universitext, Springer Verlag-
Berlin, 2002. Widder, D.V., Advanced Calculus, Prentice-Hall, 1982. Rudin, W, Principles of Real Analysis, McGraw-Hill, 1995.
4.3.2 MAT 402 Linear Algebra 4.3.2.1 Credit hours: 03 4.3.2.2 Course Objectives: At the end of this course the students will be able to setup and seek the solutions of several equations in several. Unlike other courses of its level, linear algebra embodies a circle of theoretical ideas which necessitate careful definitions, and statements and proofs of theorems, as well as a body of computational techniques that can serve both the theory itself and its application. Further they will be able to compute eigenvectors. The last part of the course will enable the students to work with and linear operators and their adjoints. 4.3.2.3 Course Contents: Review of matrices and determinants, Linear spaces, Bases and dimensions, Subspaces, Direct sums of subspaces, Factor spaces, Linear operators, Matrix representation and sums and products of linear operators, The range and null space of linear operators, Invariant subspaces. Eigen values and eigenvectors, Transformation to new bases and consecutive transformations, Transformations of the matrix of a linear operator, Canonical form of the matrix of a nilponent operator, Polynomial algebra and canonical form of the matrix of an arbitrary operator, The real Jordan canonical form, Bilinear and quadratic forms and reduction of quadratic form to a canonical form, Adjoint linear operators, Isomorphisms of spaces, Hermitian forms and scalar product in complex spaces, System of differential equations in normal form, Homogeneous linear systems, Solution by diagonalisation, Non-homogeneous linear systems 4.3.2.4 Text Books:
Shilov, G.E., Linear Algebra, Dover Publication, Inc., New York, 1997.
4.3.2.5 Reference Books: Zill, D.G. and Cullen M.R., Advanced Engineering Mathematics, PWS,
publishing company, Boston, 1996. Herstein, I., Topics in Algebra, John-Wiley, 1975. Trooper, A.M., Linear Algebra, Thomas Nelson and Sons, 1969.
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4.3.3 MAT 403 Set Topology 4.3.3.1 Credit hours: 03 4.3.3.2 Course Objectives: At the end of this course the students will be able to understand the theory of metric spaces and topological spaces. They are expected to learn how to write, in logical manner, proofs using important theorems and properties of metric spaces and topological spaces. Students learn to solve problems using the concepts of topology. They present their solutions as rigorous proofs written in correct mathematical English. Students will be able to devise, organize and present brief solutions based on definitions and theorems of topology. Students are expected not only to grasp the concepts of topology and apply them, but also to continue with their overall mathematical development. They will be improving such skills as mathematical writing and the presentation of rigorous logical arguments. 4.3.3.3 Course Contents: Motivation and introduction, Sets and their operations, Countable and uncountable sets, Cardinal and transfinite numbers, Topological spaces, Open and closed sets, interior, Closure and boundary of a set, Neighborhoods and neighborhood systems, Isolated points, Some topological theorems, Topology in terms of closed sets, Limit points, Derived and perfect sets, Dense sets and separable spaces, Topological bases, Criteria for topological bases, Local bases, First and second countable spaces, Relationship between sparability and second countablity, Relative or induced topologies, Necessary and sufficient condition for a subset of a subspace to be open in the original space, Induced bases. Metric spaces, Topology induced by a metric, Equivalent topologies, Formulation with closed sets, Cauchy sequence, Complete metric spaces, Characterization of completeness, Cantor’s intersection theorem, Completion of metric space, Metrizable spaces. Continuous functions, Various characterizations of continuous functions, Geometric meaning, homeomorphisms, Open and closed continuous functions, Topological properties and homeomorphisms, Separation axioms, T1 and T2 spaces and their characterization, Regular and normal spaces and their characterizations, Urysohn’s lemma, Urysohn’n metrizablity theorem (without proof). Compact spaces their characterization and some theorems, Construction of compact spaces, Compactness in metric spaces, Compactness and completeness, Local compactness, Connected spaces, Characterization and some properties of connected spaces. 4.3.3.4 Text Books:
Munkres, J.R., Topology A First Course, Prentice - Hall, Inc. London, 1975.
4.3.3.5 Reference Books: Simon, G.F., Introduction to Topology and Modern Analysis, McGraw-
Hill, New York, 1963. Pervin, W.J., Foundation of General Topology, Academic Press,
London, 2nd, ed., 1965.
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4.3.4 MAT 404 Ordinary Differential Equations 4.3.4.1 Credit hours: 03 4.3.4.2 Course Objectives: At the end of this course the students will be able to understand the solutions and applications of ordinary differential equations. The course serves as an introduction to differential equations and provides a prerequisite for further study in those areas. 4.3.4.3 Course Contents: Definitions and occurrence of differential equations (DEs), Remarks on existence and uniqueness of solution, First order and simple higher order DEs, Special equations of 1st order, Elementary applications of 1st order DEs, Theory of linear differential equations, Linear equations with constant coefficients, Methods of undetermined coefficients and variation of parameters, S-L boundary value problems, Self adjoint operators, Fourier series, Series solution of DEs, Bessel, Modified Bessel, Legendres, Hermite, Hypergeometric, Lauguere equations and their solutions, Orthogonal polynomials, Green function for ordinary differential equations. 4.3.4.4 Text Books:
Zill, D. and Wright, W., Differential equations with boundary-value problems. Cengage Learning, 2012.
4.3.4.5 Reference Books Morris, M and Brown, O.E., Differential Equations, Englewood Cliffs,
Prentice-Hall, 1964. Spiegel, M.R., Applied Differential Equations, Prentice-Hall, 1967. Chorlton, F., Ordinary Differential and Difference Groups, Van
Nostrand, 965. Brand, L., Differential and Difference Equations, John-Wiley, 1966. Rainville, E.D. and Bedient, P.E., Elementary Differential Equations,
MaCmillian Company, New York, 1963.
4.3.5 MAT 405 Differential Geometry 4.3.5.1 Credit hours: 03 4.3.5.2 Course Objectives: At the end of this course the students will be able to understand differential geometry, its connection and significance to other areas of mathematics. Extend many of the basic concepts and tools of multivariable calculus and linear algebra to the contexts of calculus on Riemannian geometry, develop and demonstrate a level of expertise in mathematical reasoning appropriate to a challenging upper-level mathematics course. 4.3.5.3 Course Contents: Historical background; Motivation and applications, Index notation and summation convention, Space curves, The tangent vector field, Parameterization, Arc length, Curvature, Principal normal, Binormal, Torsion, Osculating, Normal and Rectifying planes, Frenet-Serret Theorem, Spherical
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images, Sphere curves, Spherical contacts, Fundamental theorem of space curves, Line integrals and Green’s theorem, Local surface theory, Coordinate transformations, Tangent and the Normal planes, Parametric curves, First fundamental form and the metric tensor, Normal and geodesic curvatures, Gauss’s formulae, Christoffel symbols of first and second kinds, Parallel vector fields along a curve and parallelism, Second fundamental form and the Weingarten map, Principal, Gaussian, Mean and Normal curvatures, Dupin indicatrices, Conjugate and asymptotic directions, Isometries and the fundamental theorem of surfaces 4.3.5.4 Text Books: Struik, D.J., Lectures on Classical Differential Geometry, Addison-Wesley
Publishing Company, Inc., Massachusetts, 1977. Neil, B.O., Elementary Differential Geometry, Academic Press, 1966.
4.3.5.5 Reference Books: Millman,R.S, and Parker,G.D., Elements of Differential Geometry,
Prentice-Hall Inc., New Jersey, 1977. Carmo, M.P., Differential Geometry of Curves and Surfaces, Prentice-
Hall, Inc., Englewood, New Jersey, 1985. Goetz, A., Introduction to Differential Geometry, Addison-Wesley, 1970. Charlton, F., Vector and Tensor Methods, Ellis Horwood, 1976.
4.3.6 MAT 406 Group Theory-I 4.3.6.1 Credit hours: 03 4.3.6.2 Course Objectives: At the end of this course the students will be able to write mathematical proofs and reason abstractly in exploring properties of groups, construct examples of and explore properties of groups, including symmetry groups, permutation groups and cyclic groups, determine subgroups and factor groups of finite groups, determine, use and apply homomorphism’s and isomorphism between groups. They would also explore the notion of group actions and Sylow’s theorem with applications. 4.3.6.3 Course Contents: Historical background, Definition of a group with some examples, Order of an element of a group, Subgroups, Generators and relations, Free groups, Cyclic groups, Finite groups, Cayley’s theorem on permutation groups, Cosets and Lagrange’s theorem, Normal subgroups, Simplicity, Normalizers, Direct products, Homomorphism, Factor groups, Isomorphism, Automorphism, Isomorphism theorems, Group actions, Stabilizers, Conjugacy classes, Sylow theorems and their applications. 4.3.6.4 Text Books: Fraleigh, J.B., A First Course in Algebra, Addison-Wesley 1982.
4.3.6.5 Reference Books: Hamermesh, M., Group Theory, Addison-Wesley 1972.
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Herstein, I.N., Topics in Algebra, John Wiley 1975.
4.3.7 MAT 407 Complex Analysis 4.3.7.1 Credit hours: 03 4.3.7.2 Course Objectives: At the end of this course the students will be able to understand the basic properties of functions of a complex variable with the theory of analytic functions and its applications. 4.3.7.3 Course Contents Algebra of complex numbers, Analytic functions, C-R equations, Harmonic functions, Elementary functions, Branches of log z, Complex exponents, Contours, Cauchy-Goursat theorem, Cauchy integral formula, Morera’s theorem, Maximum moduli of functions, Liouville’s theorem, Fundamental theorem of algebra, Convergence of sequences and series, Taylor series, Laurent series, Power series, Residues and poles, Residues theorems, Zeros of analytic function, Zeros and poles, Evaluation of improper integrals, Integrals involving trigonometric functions, Integration around a branch point, Definite integrals involving sine and cosine, Argument principle, Rouche’s theorem, Inverse Laplace transform, Mapping of complex functions, Conformal mapping, Analytic continuation. 4.3.7.4 Text Books Brown, J. W. and Churchill, R.V., Complex Variables and Applications,
McGraw-Hill, 2009.
4.3.7.5 Reference Books: Marsden, J.E., Basic Complex Analysis, W.H.Freeman and Co, 1982. Hille, E., Analytic Function Theory, Vols.I and II, Chelsea Publishing Co.
New York, 1974.
4.3.8 MAT 408 Numerical Methods 4.3.8.1 Credit hours: 03 4.3.8.2 Course Objectives The course has been designed to teach the students about numerical methods and their theoretical bases. It provides necessary background needed for numerical computing in various mathematical and engineering disciplines. The students are expected to know computer programming to be able to write programs for numerical methods. 4.3.8.3 Course Contents Number Systems and Errors; Errors, Error Estimation, Floating point arithmetic, Loss of significance and error propagation, Solution of non-linear Equations; Bisection method, Fixed point iteration, Convergence criterion for a fixed point iteration, Newton-Raphson method, Iterative methods, Secant and Regula Falsi methods, Order of convergence of Newton-Raphson and secant methods. Interpolation by Polynomials; Interpolation with equally spaced data, Newton’s forward and backward difference formulas, Hermite Polynomials, Splines, Cubic Splines. Error of the interpolating polynomial, Bessel's interpolation formula.
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Existence and uniqueness of the interpolating polynomial. Lagrangian interpolation, the Newton divided difference formula, System of Linear Equations; Direct Methods: Gauss elimination methods, Triangular factorization, Crout method. Iterative methods: Jacobi method, Gauss-Seidel method, SOR method, convergence of iterative methods, Numerical Differentiation and Integration; Numerical differentiation formulae based on interpolation polynomials, error estimates, Newton-Cotes formulae; Trapezoidal rule, Simpson’s formulas, Composite rules, Romberg improvement, Richardson extrapolation. Error estimation of integration formulas, Gaussian quadrature. Differentiation and integration in multidimesion, Numerical Solution of ODE’S; The Taylor series method, Euler Method, Modified Euler Method, RK-Methods upto order 4, Predictor –Corrector Methods, Eigenvalue problem; Single Dominant Eigenvalue, Power Method, Rayleigh Quotient Method. 4.3.8.4 Text Books Burden, R L and Faires, D, Numerical Analysis, Brooks/Cole Cengage
Learning, 2011.
4.3.8.5 Reference Books: C. F. Gerald , Applied Numerical Analysis, Addison Weseley, 1984. Conte, S.D. and Boor, C., Elementary Numerical Analysis, McGraw-Hill,
1980.
4.3.9 MAT 409 Real Analysis 4.3.9.1 Credit hours: 03 4.3.9.2 Course Objectives At the end of this course the students will be able to review elementary mathematics from an advanced standpoint, insight into the role of rigor in mathematics. Build understanding of the foundations and concepts of analysis and strengthen powers of logic (reasoning). Define Riemann integral and Riemann sums, prove various theorems about Riemann sums and Riemann integrals and emphasize the proofs’ development. Define uniform convergence and prove their theorems. Study and apply Fourier series theorems (e.g convergence criteria etc.) 4.3.9.3 Course Contents The Riemann Integral; Upper and lower sums, Definition of a Riemann integral, Integrability criterion, Classes of integrable functions, Properties of the Riemann integral, Infinite Series; Review of sequences, Geometric series, Tests for convergence, Conditional and absolute convergence. Regrouping and rearrangement of series. Power series, radius of convergence, Uniform Convergence; Uniform convergence of a sequence and a series, the M-test, properties of uniformly convergent series. Weierstrass approximation theorem, Improper Integrals; Classification, tests for convergence, Absolute and conditional convergence, Convergence of cos(x) sinx dx, the Gamma function. Uniform convergence of integrals, M-text, properties of uniformly convergent integrals, Fourier series; Orthogonal functions, Legendre, Hermite and Laguerre polynomials, Convergence in the mean. Fourier-Legendre and Fourier-
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Bessel series, Bessel inequality, Parseval equality. Convergence of the trigonometric Fourier series. 4.3.9.4 Text Books: Bartle, R.G. and Sherbert, D.R., Introduction to Real Analysis, John Wile
Sons 1994. Rudin, W., Principles of Real Analysis, McGraw-Hill 1995.
4.3.9.5 Reference Books: Widder, D.V., Advanced Calculus, Prentice Hall 1982. Rabenstein, R.L., Elements of Ordinary Differential Equations, Academic
Press, 1984.
4.3.10 MAT 410 Analytical Mechanics 4.3.10.1 Credit hours: 03 4.3.10.2 Course Objectives: At the end of this course the students will be able to understand the fundamental principles of classical mechanics, to master concepts in Lagrangian and Hamiltonian mechanics important to develop solid and systematic problem solving skills. To lay a solid foundation for more advanced study of classical mechanics and quantum mechanics. 4.3.10.3 Course Contents: Kinematics of particle and rigid body in three dimension; Euler’s theorem. Work, Power, Energy, Conservative field of force, Motion in a resisting medium, Variable mass problem, Moving coordinate systems, Rate of change of a vector, Motion relative to the rotating Earth, The motion of a system of particles, Conservation laws, Generalized coordinates, Lagrange’s equations, Hamilton’s equations, Simple applications, Motion of a rigid body, Moments and products of inertia, Angular momentum, kinetic energy about a fixed point, Principal axes; Momental ellipsoid; Equimomental systems, Gyroscopic motion, Euler’s dynamical equations, Properties of a rigid body motion under no forces, . Text Books: Chorlton, F., Principles of Mechanics, McGraw Hill, N.Y 1983. Goldstein, H., Classical Mechanics, Addison Wesley, 2nd Edition, 1980.
Reference Books: Symon, K.R., Mechanics, Addison Wesley, 1964. Synge, J. I. and Griffith, B. A., Principles of Mechanics, McGraw-Hill, N.Y.
1986.
Synge, J. I. and Griffith, B. A., Principles of Mechanics, McGraw-Hill, N.Y. 1986.
Beer, F. P. and Johnston, E. R., Mechanics for Engineers, Vols.I&II, McGraw-Hill, N.Y, 1975.
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4.3.11 MAT 411 Functional Analysis I 4.3.11.1 Credit hours: 03 4.3.11.2 Course Objectives: At the end of this course the students will be able to understand a strong foundation in functional analysis, focusing on spaces (Metric Spaces, Normed Spaces, Inner Product Spaces) Operators, Fundamental Theorems and Applications. To strengthen students understanding of this theory through applications of functional analysis. To develop students skills and confidence in mathematical analysis and proof techniques. To build an understanding of mathematical analysis through the use of mathematical proof. 4.3.11.3 Course Contents: Metric spaces, dense subspaces, seperable spaces, Isometry, Definition and examples of normed spaces, Banach spaces, Characterization of Banach spaces, Bounded linear operators, Functionals and their examples, Various characterizations of bounded (continuous) linear operators, Space of all bounded linear operators, Open mapping and closed graph theorems, Dual (conjugate) spaces, Reflexive spaces, Hahn-Banach theorem (without proof), Some important consequences of the Hahn-Banach theorem., Inner product spaces and their examples, Cauchy-Schwarz inequality, Hilbert spaces, Orthogonal complements, Projection theorem, Riesz representation theorem. 4.3.11.4 Text Books Kreyszig, E., Introductory Functional Analysis with Applications, John
Wiley, 1978. Rudin, W., Functional Analysis, McGraw-Hill, N.Y., 1983.
4.3.11.5 Reference Books Maddox, J., Elements of Functional Analysis, Cambridge, 1970. Simmon, G.F., Introduction to Topology and Modern Analysis, McGraw-
Hill, N.Y.1983.
4.3.12 MAT 412 Partial Differential Equations 4.3.12.1 Credit hours: 03 4.3.12.2 Course Objectives: At the end of this course the students will be able to learn about the three most important classes of partial differential equations of applied mathematics, that is, the heat equation, the wave equation and Laplace equation. Apply elementary solution techniques and be able to interpret the results and solve specific problems in major area of studies. 4.3.12.3 Course Contents: Review of ordinary differential equation in more than one variable partial differential equations (PDEs) of the first order., Nonlinear PDEs of first order, Applications of 1st order PDEs, Partial differential equations of second order, Mathematical modeling of heat, Laplace and wave equations, Classification of 2nd order PDEs, Boundary and initial conditions, Reduction to canonical form and the solution of 2nd order PDEs, Technique of separation of variable for the
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solution of PDEs with special emphasis on Heat, Laplace and wave equations. Laplace transform, Fourier transform and Hankel transform for the solution of PDEs and their application to boundary value problems. 4.3.12.4 Text Books Sneddon, I.N., Elements of Partial Differential Equations, McGraw-Hill
Book Company, 1987. Haberman, R., Elementary Applied Partial Differential Equations, Prentice
Hall, Inc. New Jersey, 1983.
4.3.12.5 Reference Books Dennemyer, R., Introduction to Partial Differential Equations and
Boundary Value Problems, McGraw-Hill Book Company, 1968. Humi, M and Miller, W.B., Boundary Value Problems and Partial
Differential Equations, PWS-Kent Publishing Company, Boston, 1992. Chester, C.R., Techniques in Partial Differential Equations, McGraw-Hill
Book Company, 1971. Zauderer, E., Partial Differential Equations of Applied Mathematics, John
Wiley & Sons, Englewood Cliff, New York, 1983.
4.3.13 MAT 413 Mathematical Statistics 4.3.13.1 Credit hours: 03 4.3.13.2 Course Objectives: At the end of this course students will be able to understand and implement the techniques of statistics by using mathematical approach. It generally deals with derivations of general expressions and theorems of statistics and their application. 4.3.13.3 Course Contents Interpretations of Probability, Experiments and events, Definition of probability, Finite sample spaces, Counting methods, The probability of a union of events, Independent events, Definition of conditional probability, Bayes theorem. Random variables, discrete distributions and continuous distributions, Probability function and probability density function, The distribution function, Bivariate distributions, Marginal distributions, Conditional distributions, Multivariate distributions, Functions of random variables, The expectation of a random variable, Properties of expectations, Variance. Moments, The mean and the median, Covariance and correlation, Conditional expectation, Moment Generating functions, Probability distribution functions, Binomial, Poisson, Negative Binomial, Normal Distribution. 4.3.13.4 Text Books 1. Hogg, R. V., McKean, J. W., Craig, A. T., Introduction to Mathematical
Statistics., Prentice Hall. Inc, 2005.
4.3.13.5 Recommended Books Mood, A.M., Graybill, F.A., and Boes, D.C., Introduction to the Theory of
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Statistics, 3rd Edition, McGraw-Hill Book Company New York, 1974. Degroot, M. H., Probability and Statistics, 2nd Edition, Addison-Wesley
Publishing Company, USA, 1986. Mardia, K.V., Kent, J.T., and Bibby, J.M., Multivariate Analysis,
Academic Press,New York, 1979.
Elective I- VII would be replaced by the following List of Courses.
4.3.14 MAT 451- Rings and Fields 4.3.14.1 Credit hours: 03 4.3.14.2 Course Objectives: At the end of this course the students will be able to understand the ring, polynomial rings, Cartesian product of sets, direct product and direct sum of modules, HomR(M,N), algebra over a commutative ring, Euclidean Domains and analogous theorems for Fields with applications. 4.3.14.3 Course Contents Definitions and basic concepts, Homomorphisms, Homomorphism theorems, Polynomial rings, Unique factorization domain, Factorization theory, Euclidean domains, Arithmetic in Euclidean domains, Extension fields, Algebraic and transcendental elements, Simple extension, Introduction to Galois theory. 4.3.14.4 Text Books Fraleigh, J.A., A First Course in Abstract Algebra, Addision Wesley
Publishing Company, 1982. Herstein, I.N., Topies in Algebra, John Wiley & Sons 1975.
4.3.14.5 Reference Books Lang, S., Algebra, Addison Wesley, 1965. Hartley, B., and Hawkes, T.O., Ring, Modules and Linear Algebra,
Chapman and Hall, 1980.
4.3.15 MAT 452 Measure and Integration 4.3.15.1 Credit hours: 03 4.3.15.2 Course Objectives At the end of this course the students will be able to understand basic notions of measure and integration theory. Theorems regarding algebra of measurable functions and integrals will also discussed. 4.3.15.3 Course Contents Definition and examples of algebras and -algebras, Basic properties of measurable spaces, Definition and examples of measure spaces, Outer measure, Lebesgue measure, Measurable sets, Complete measure spaces, Some equivalent formulations of measurable functions, Examples of measurable functions, Various characterization of measurable functions, Property that holds almost everywhere, Egorov’s theorem, Definition of Lebesgue integral, Basic
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properties of Lebesgue integrals, Comparison between Riemann integration and Lebesgue integration, L2-space, The Riesz-Fischer theorem. 4.3.15.4 Text Books Folland, G. B, Real Analysis : Modern Techniques and Applications, 2nd
Edition, Wiley, 1999. Royden, H.L., Real Analysis, Macmillan, 1968.
4.3.15.5 Reference Books: Cohn, D.L., Measure Theory, Birkhauser, 1980. Halmos, P.R., Measure Theory, D.Van Nostrand, 1950.
4.3.16 MAT 453 Special Functions 4.3.16.1 Credit hours: 03 4.3.16.2 Course Objectives: At the end of this course the students will be able to understand the fundamental use of special functions associated with the names of Legendre, Bessel and Hermite. It aims at providing in a compact form most of the properties of these functions which arise most frequently in applications. These functions arise as a solution of the three fundamental partial differential equations in cylindrical polar and Spherical polar coordinates. 4.3.16.3 Course Contents Introduction, Gamma Functions, Beta Functions; Hyper geometric series, power series solution of differential equations, ordinary point, solution about singular point Frobenius method, Bessel's equation, solution of Bessel's equation; Bessel's functions, J (x), recurrence formulae, equations reducible to Bessel's equation, orthogonality of Bessel functions, a generating function of J (x), trigonometric expansion involving Bessel functions, Bessel integral, Ber and Bei functions, Legendres equation; Legendre's polynomial P_n (x); Legendre's function of the second kind; General solution of Legendre's Equation, Rodrigue's formula, Legendre polynomials, a generating function of Legendre's polynomial, Orthogonlity of Legendre polynomials; recurrence formulae for Ps(x), Fourier-Legendre expansion, Laguerres differential equation, Strum Liouville equation ; orthogonality ; orthogonality of eigen-functions. 4.3.16.4 Text Books Sneddon, I.N., Elements of Partial Differential Equations, McGraw-Hill
Book Company, 1987.
Zill, D. and Wright, W., Differential equations with boundary-value problems. Cengage Learning, 2012.
4.3.16.5 Recommended Books: Chorlton, F., Ordinary Differential and Difference Groups, Van Nostrand,
1965. Haberman, R., Elementary Applied Partial Differential Equations, Prentice
Hall, Inc. New Jersey, 1983.
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Dennemyer, R., Introduction to Partial Differential Equations and Boundary Value Problems, McGraw-Hill Book Company, 1968.
4.3.17 MAT 454 Operations Research 4.3.17.1 Credit hours: 03 4.3.17.2 Course Objectives At the end of this course the students will be able to formulate a real-world problem as a mathematical programming model. Understand the theoretical workings of the simplex method for linear programming and perform iterations of it by hand. Understand the relationship between a linear program and its dual, including strong duality and complementary slackness. Perform sensitivity analysis to determine the direction and magnitude of change of a model's optimal solution as the data change. Solve specialized linear programming problems like the transportation and assignment problems. Understand the applications of basic methods for integer programming Model a dynamic system as a queuing model and compute important performance measures. 4.3.17.3 Course Contents Introduction to Operations Research and real life Phases, introduction to linear programming (LP) with examples, Graphical solutions to Mathematical Model with Special Cases, Simplex Algorithm and its different cases, Big M Method and Two phase Method, Scheduling and Blending Problems, The Transportation Problems, The Transshipment Problems, The Assignment Problems, integer Programming, network Models, Inventory Models, Dynamic Programming and Queuing Theory. 4.3.17.4 Text Books Hamdy A. Taha, Operations Research-An Introduction, Macmillan
Publishing Company Inc., New York, 1987.
4.3.17.5 Reference Books Gillett B.E, Introduction to Operations Research, Tata McGraw Hill
Publishing Company Ltd., New Delhi,1979. Hillier F.S, and Liebraman G.J , Operations Research, CBS Publishers
and Distributors, New Delhi, 1974. Harvey C.M, Operations Research, North Holland, New Delhi, 1979.
4.3.18 MAT 455 Optimization Theory 4.3.18.1 Credit hours: 03 4.3.18.2 Course Objectives At the end of this course the students will be able to understand the concept of maximization and minimization of the functionality of the system. In this course the students will learn to create an appropriate mathematical description (a simulation model) of the design problem. Simulation of the model is defined in a broad context. Therefore students from diverse disciplines (Economics, Business Management, Finance, Engineering etc.etc.) are welcome to attend the course.
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At the end of this course students should be able to demonstrate their understanding of dynamic systems and how to solve constrained optimization. 4.3.18.3 Course Contents Introduction to Optimization, variables and Objective functions, Stationary values and Extrema, Relative and Absolute extrema, Equivalence of minimum and maximum, Convex, Concave and uni-model functions, Constraints, Mathematical programming problems. Optimization of one-dimensional functions. Optimization of two dimensional functions and derivatives of sufficient conditions for existence of optima for them Exercises. Optimization of function of several variables and necessary and sufficient conditions for it Exercises. Optimization by equality constraints: direct substitution method and Lagrange multiplier method. Behavior of the Lagrangian functions. Exercises. Necessary and sufficient conditions for an equality constrained optimum with bounded independent variables. Inequality constraints and Lagrange multipliers. Multidimensional optimization by Gradient method. Exercises. Convex and Concave programming Linearization. Exercises. Calculus of variation, Euler-Lagrange equations. Functional of several variable. Functionals depending on higher derivatives. Functionals depending on several independent variables. Variational problems in parametric form. Some applications, Constraints variational problem. A minimum path problem. Dynamic programming fundamentals. Generalized mathematical formulation of dynamic programming, Problems and exercises. Dynamic programming and variational calculus. Control theory. 4.3.18.4 Text Books Hamdy A. Taha, Operations Research-An Introduction, Macmillan
Publishing Company Inc., New York, 1987.
4.3.18.5 Reference Books Gillett B.E, Introduction to Operations Research, Tata McGraw Hill
Publishing Company Ltd., New Delhi,1979. Hillier F.S, and Liebraman G.J , Operations Research, CBS Publishers
and Distributors, New Delhi, 1974. Harvey C.M, Operations Research, North Holland, New Delhi, 1979.
4.3.19 MAT 456 Functional Analysis II 4.3.19.1 Credit hours: 03 4.3.19.2 Course Objectives: At the end of this course the students will be able to understand fundamental theorems in functional analysis and their applications. Further they would be able to understand basic notion of spectral theory and some theorems. 4.3.19.3 Course Contents The Hahn-Banach theorem, Principle of uniform boundedness, Open mapping theorem, Closed graph theorem, Weak topologies and the Banach-Alouglu theorem, Extreme points and the Klein-Milman theorem, The dual and bidual
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spaces, Reflexive spaces, Compact operators, Spectrum and eigenvalues of an operator, Elementary spectral theory. 4.3.19.4 Text Books Kreyszig, E., Introductory Functional Analysis and Applications, John
Wiley, 1973.
4.3.19.5 Reference Books: Taylor, A.E., and Lay, D.C., Introduction of Functional Analysis, John
Wiley, 1979. Heuser, H.G., Functional Analysis, John Wiley, 1982. Groetsch, C.W., Elements of Applicable Functional Analysis, Marcel
Dekker, 1980.
4.3.20 MAT 457 Discrete Mathematics 4.3.20.1 Credit hours: 03 4.3.20.2 Course Objectives: At the end of this course the students will be able to use the vocabulary and symbolic notation of higher mathematics in definitions, theorems and problems. Analyze the logical structure of statements symbolically including the proper use of logical connectives, predicates and quantifiers to think logically. Reason and recognize patterns, make conjectures to use mathematical symbols and discern truth values of arguments and to work with existence, quantification and validation conditions. Understand induction and prove propositions using induction, construct truth tables, prove or disprove a hypothesis. Evaluate the truth of a statement using the principles of logic, explain what a proof is and discern between valid proofs and claim that a proof has been performed but in reality has not. To read a proof of a statement and construct a valid proof using different methods which include direct, proof by cases, indirect, contradiction, contraposition, by example/counterexample, and mathematical induction. 4.3.20.3 Course Contents: Logic, propositional logic, logical equivalence, predicates & quantifiers, and logical reasoning, sets, basics, set operations, functions: one-to-one, onto, inverse, composition, graphs, integers: greatest common divisor, Euclidean algorithm, sequences and summations, mathematical reasoning, proof strategies, mathematical induction, recursive definitions, structural induction, counting, basic rules, pigeon hall principle, Permutations and combinations, Binomial coefficients and Pascal triangle, probability, discrete probability, expected values and variance, relations, properties, combining relations, closures, equivalence, partial ordering, graphs , directed, undirected graphs. 4.3.20.4 Text Books Rosen, K. Discrete Mathematics and its Applications, 7th Edition ,
McGraw Hill Publishing Co., 2012. Susanna, E., Discrete mathematics with applications. Cengage Learning,
2010.
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4.3.20.5 Reference Books Cormen T. H, Leiserson C. E,. Rivest R. L, and Stein, C., Introduction to
Algorithms (2nd edition). MIT Press, 2001. Herbert S. Wilf, Algorithms and Complexity (1st or 2nd edition). A K Peter
, 2002.
4.3.21 MAT 458 Theory of Modules 4.3.21.1 Credit hours: 03 4.3.21.2 Course Objectives At the end of this course the students will be able to understand the module, Cartesian product of sets, direct product and direct sum of modules, HomR(M,N), free, projective and injective module, noetherian module (both in terms of chain conditions and in terms of minimal or maximal submodules), algebra over a commutative ring, completely reducible module, semisimple ring and modules. 4.3.21.3 Course Contents Elementary notions and examples, Modules, Submodules, Quotient modules, Finitely generated and cyclic modules, Exact sequences and elementary notions of homological algebra, Noetherian and Artinian rings and modules, Radicals, Semisimple rings and modules. 4.3.21.4 Text Books Herstein, I.N., Topics in Algebra, John Wiley and Sons, 1975.
4.3.21.5 Reference Books Adamson, J., Rings and modules.Blyth, T.S., Module theory, Oxford
University Press, 1977. Hartley, B. and Hawkes, T.O., Rings, Modules and Linear algebra,
Chapman and Hall, 1980.
4.3.22 MAT 459 Analytical Dynamics 4.3.22.1 Credit hours: 03 4.3.22.2 Course Objectives At the end of this course the students will be able to understand the fundamental principles of analytical dynamics, to study and apply Hamiltonian principle, Poisson bracket. Further they would be able to study different type of vibrations in strings and solve resuling mathematical equations. 4.3.22.3 Course Contents: Constraints, generalized co-ordinates, generalized forces, General equation of dynamics, Lagranges equations, Conservation laws, Ignorable co-ordinates, Explicit form of Lagranges equation in terms of tensors. Hamiltons principle, Principle of least action, Hamiltons equations of motion, Hamilton-Jacobi Method. Poisson Brackets (P.Bs); Poissons theorem; Solution of mechanical problems by algebraic technique based on (P.Bs). Small oscilations and normal modes, Vibrations of strings, Transverse vibrations, Normal modes, Forced vibrations and damping, Reflection and transmission at a discontinuity, Longitudinal vibrations, Rayleigh’s principle.
Riphah_DBS_MSc_Mathematics_June 2019 37
4.3.22.4 Text Books: Chorlton, F., Textbook of dynamics, Van Nostrand, 1963. Goldstein, H., Classical Mechanics, Cambridge, Mass Addison-
Wesley,1980.
4.3.22.5 Reference Books Chester, W., Mechanics, George Allen and Unwin Ltd., London 1979. Meirovitch, L., Methods of Analytical Dynamics, McGraw-Hill, 1970.
4.3.23 MAT 460 Fluid Mechanics I 4.3.23.1 Credit hours: 03 4.3.23.2 Course Objectives At the end of this course the students will be able to understand the importance of Fluid mechanics in mathematics, science and engineering. The course will increase the basic level of the students in the field of fluid mechanics and will grow their knowledge from both mathematical point of view and also from application point of view. Also this course will help to those students who wish to undertake advance studies in fluid mechanics. 4.3.23.3 Course Contents Real fluids and ideal fluids, velocity of a fluid at a point, streamlines and pathlines, steady and unsteady flows, velocity potential, vorticity vector, local and particle rates of change, equation of continuity. Acceleration of a fluid, conditions at a rigid boundary, general analysis of fluid motion. Euler’s equations of motion, Bernoulli’s equation steady motion under conservative body forces, some potential theorems, impulsive motion. Sources, sinks and doublets, images in rigid infinite plane and solid spheres, axi-symmetric flows, Stokes’s stream function. Stream function, complex potential for two-dimensional, irrotational, incompressible flow, complex velocity potential for uniform stream. Line sources and line sinks, line doublets and line vortices, image systems, Miline-Thomson circle theroem, Blasius’ theorem, the use of conformal transformation and the Schwarz-Christoffel transformation in solving problems, vortex rows. Kelvin’ s minimum energy theorem, Uniqueness theorem, fluid streaming past a circular cylinder, irrotational motion produced by a vortex filament. The Helmholtz vorticity equation, Karman’s vortex-street. 4.3.23.4 Text Books: Chorlton, F., Textbook of fluid Dynamics, D. Van Nostrand Co. Ltd. 1967. Batchelor, G.K., An Introduction to Fluid Dynamics, Cambridge University
Press, 1969.
4.3.23.5 Reference Books Thomson, M., Theoretical Hydrodynamics, Macmillan Press, 1979. Jaunzemics, W., Continuum Mechanic, Machmillan Company, 1967. Landau, L.D., and Lifshitz, E.M., Fluid Mehanics, Pergamon Press, 1966.
Riphah_DBS_MSc_Mathematics_June 2019 38
4.3.24 MAT 461 Fluid Mechanics –II 4.3.24.1 Credit hours: 03 4.3.24.2 Course Objectives The course will increase the basic level of the students in the field of fluid mechanics and will grow their knowledge from both mathematical point of view and also from application point of view. Also this course will help to those students who wish to undertake advance studies in fluid mechanics. 4.3.24.3 Course Contents Constitutive equations; Navier-Stoke’s equations; Exact solutions of Navier-Stoke’s equations; Steady unidirectional low; Poiseuille flow; Couette flow; Unsteady unidirectional low; sudden motion of a plane boundary in a fluid at rest; Flow due to an oscillatory boundary; Equations of motion relative to a rotating system; Ekman flow; Dynamical similarity and the Reynold’s number; Flow over a flat plate (Blasius’ solution); Reynold’s equations of turbulent motion. 4.3.24.4 Text Books Landau, L.D, and Lifshitz, E. M, Fluid Mechanics, Pergamon Press, 1966. Batchelor, G.K., An Introduction to Fluid Dynamics, Cambidge University
Press, 1969.
4.3.24.5 Reference Books Jaunzemis, W., Continuum Mechanics, MacMillan Company, 1967.
4.3.25 MAT 462 Plasma Theory 4.3.25.1 Credit hours: 03 4.3.25.2 Course Objectives By the end of the course, students will be able to know the behavior of plasma particles in electrostatic and magnetic fields, individually as well as fluid and how oscillations and waves are generated in plasma. 4.3.25.3 Course Contents Occurrence of plasma in nature, Definition of plasma, Plasma parameter, Criteria for plasma, Applications of plasma, Motion of single particle motion with Uniform E and B field, with nonuniform B field and E field, Time- varying E field and B field, The fluid equation of motion, Fluid drifts perpendicular and parallel to B, Representation of waves, Group velocity, Plasma Oscillations, Ion waves, Validity of plasma approximation, Electrostatic Ion waves perpendicular to B0, The lower Hybrid frequency, Electromagnetic waves with B0=0, perpendicular to B0, and parallel to B0, Cutoffs and resonances, Magneto-sonic waves, Hydro-magnetic equilibrium. 4.3.25.4 Text Books Chen, F.F., Introduction to Plasma Physics, Plenum Press, New York,
1974. Krall, N.A. and Trivelpiece, A.W., Principles of Plasma Physics, McGraw-
Hill Book Company, 1973.
Riphah_DBS_MSc_Mathematics_June 2019 39
4.3.26 MAT 463 Combinatorics 4.3.26.1 Credit hours: 03 4.3.26.2 Course Objectives By the end of the course, that they know some of the uses of, and how to solve, problems involving permutations, combinations, graph enumeration and algebraic combinatorics. 4.3.26.3 Course Contents To basic counting principles, Permutations, Combinations. The injective and bijective principles, Arrangements and selections with repetitions. Graphs in Combinatorics. The Binomial theorem, combinatorial identities. Properties of binomial coefficients, Multinomial coefficients, The multinomial theorem. The Pigeonhole principle, Examples, Ramsay numbers, The principle of inclusion and exclusion, Generalization. Integer solutions. Surjective mapping, Stirling numbers of the second kind, The Sieve of Eratostheries, Euler φ-function, The Probleme des Manages. Ordinary Generating Functions, Modelling problems. Partition of integers, Exponential generating functions. Linear homogeneous recurrence relations, Algebraic solutions of linear recurrence relations and constant functions, The method of generating functions, A non-linear recurrence relation and Catalpa numbers. 4.3.26.4 Text Books Tucker, A., Applied Combinatorics, John Wiley & Sons, New York, 2nd
Edition, 1985.
4.3.26.5 Reference Books Chen, C.C, and Koh, K. M., Principles and Techniques in Combinatorics,
World Scientific Pub. Co. Pte. Ltd, Singapore. 1992. Balakrishnan,V. K., Theory and Problems of Combunatorics, Schaum’s
Outline Series, MeGraw-Hill International Edition, Singapore, 1995. Liu, C. L., Introduction to Combinatorial Mathematics, McGraw-Hill, New
York, 1968. Van, J. H., Ling & R.M. Wilson, A course on Combinatorics, 2nd Edition,
Cambridge University Press, Cambridge, 2001.
4.3.27 MAT 464 Number Theory 4.3.27.1 Credit hours: 03 4.3.27.2 Course Objective This course will strengthen each student's ability to use theory to solve concrete problems in number theory. Application of abstract algebra in terms of number theory will enable student to apply these techniques to solve different problems in number theory. 4.3.27.3 Course Contents Divisibility: Divisors, Bezeout’s identity, LCM, Linear Diophantine equations, Prime Numbers: Prime numbers and prime-power factorizations, Distribution of primes, Primality-testing and factorization, Congruences: Modular arithmetic, Linear congruences, An extension of chineses Remainder Theorem, The
Riphah_DBS_MSc_Mathematics_June 2019 40
Arithmetic’s of Zp. Solving conruences mod (pe). Euler’s Function: Units, Euler’s function, The Group of Units: The group Un, Primitive roots, The group Un, n is power of odd prime and n is power of 2, Quadratic Residues:Quadratic congruences, The group of quadratic residues, The Legendre symbol, Quadratic reciprocity, Arithmetic Functions: Definition and examples, perfect numbers, The Modius Inversion formula, The Reimann Zeta Function: Random integers, Dirichlet series, Euler products, Sums of two Squares, The Gaussian integers, sums of three Squares, Sums of four Squares, Fermat’s Last Theorem: The problem, Pythagorean Theorem, Pythagorean triples, The case n=4, Odd prime exponents. 4.3.27.4 Text Books Jones, G.A., and Jones, J. M., Elementary Number Theory, Springer-
Variog, London Limited, 1998.
4.3.27.5 Reference Books: Nathanson, M. B., Methods in Number Theory, Springer-Verlog, New
York, Inc., 2000. Parshin, A.N., and Shafarevich, I. R., Number Theory I: Fundamental
Problems, Ideas and Theories, Springer-Verlag, Berlin Heidelberg, 1995.
4.3.28 MAT 465 Group Theory II 4.3.28.1 Credit hours: 03 4.3.28.2 Course Objectives: At the end of this course the students will be able to write mathematical proofs and reason of groups and introduction to representation theory. Tools which will be studied here would enable student to study complicated cases of Syllow’s group. 4.3.28.3 Course Contents Actions of Groups, Permutation representation, Equivalence of actions, Regular representation, Cosets spaces, Linear groups and vector spaces, Affine groupa and affine spaces, Transitivity and orbits, Partition of G-spaces into orbits, Orbits as conjugacy class Computation of orbits, The classification of transitive G-spaces Catalogue of all transitive G-spaces up to G-isomorphism, One-one correspondence between the right coset of Ga and the G-orbit, G-isomorphism between coset spaces and conjugation in G, Simplicity of A_5, Frobenius-Burnside lemma, Examples of morphisms, G-invariance, Relationship between morphisms and congruences, Order preserving one-one correspondences between congruences on Ω and subrroups H of G that contain the stabilizer Gα, The alternating groups, Linear groups, Projective groups, Mobius groups, Orthogonal groups, unitary groups, Cauchy’s theorem, P-groups, Sylow P-subgroups, Sylow theorems, Simplicity of An when n > 5. 4.3.28.4 Text Books Fraleigh,J. B., A Course in Algebra, Addison-Wesley 1982.
Riphah_DBS_MSc_Mathematics_June 2019 41
4.3.28.5 Reference Books Rose, J. S., A Course on Group Theory, Cambridge University Press,
1978. Wielandt, H., Finite Permutation Groups. Academic Press, 1964.
4.3.29 MAT 466 Calculus of Variations 4.3.29.1 Credit hours: 03 4.3.29.2 Course Objectives At the end of this course the students will be able to understand the calculus of variation with the problem of extrmizing “functionals”. One of the objectives of a course is to prepare students for future courses in their areas of specialization for solving practical problems. 4.3.29.3 Course Contents Basics of functional variations, General statement of the external problems, Maxima and minima, weak local minima and maxima, well-posed end point conditions, Existence and uniqueness of solutions, Simple Eulerian maximization problems, Euler-Lagrange conditions, First integrals of the Euler-Lagrange equations, Canonical formalism of the Euler-Lagrange conditions, Action integrals and their functional variations, Hamilton conditions, Inverse problems in variational calculus, Isoperimetric problems, Constrained surfaces of least curvature, Broken externals, Weierstrass-Erdmann conditions, Multidimensional cases and higher order necessary conditions, Lagrange problem and the Euler-Lagrange theorem in multidimensions, Applications to the Branchistochrone, Minimum surface of revolution, Geodesics, Geometrical optics, Fermat principle, Hamilton equations of motion, Eigenvalue and eigenfunction problems, Ritz Variational principle, Strum-Liouville problems, Membrane vibrations, Schrodinger equation and energy minimization, Existence of minima of Dirichlet integral. 4.3.29.4 Text Books Weinstock, R., Calculus of Variations, Dover Publications, New York
1974.
4.3.29.5 Recommended Books Biss, G.A., Calculus of Variations, Mathematical Association of America,
Washington D.C. 1944. Gelfand, I.M., Fomin, S.V., Calculus of Variations, Dover Publications,
New York 2000. Ban Brunt, B., The Calculus of Variations, Springer-Verlag, New York
2004. Logan, J.D., Invariant Variational Principles, Academic Press, New York
1977.
Fox, C., An Introduction to the Calculus of Variations, Dover Publications, new York 1987.
Riphah_DBS_MSc_Mathematics_June 2019 42
Bolza, O., Lectures on the Calculus of Variations (3rd Edition), American Mathematical Society, Rhode Island 2000.
Jost, J., Li-Jost, X., Calculus of Variations, Cambridge University Press, Cambridge 1999.
4.3.30 MAT 467 Integral Equations 4.3.30.1 Credit hours: 03 Integral equations, formulation of boundary value problems, classification of integral equations, method of successive approximation, Hilbert-Schmidt theory, Schmidt’s solution of non-homogeneous integral equations, Fredholm theory, case of multiple roots of characteristic equation, degenerate kernels, introduction to Wiener-Hopf technique. 4.3.30.2 Text Books: Lovitt,W. V. Linear Integral Equations, Dover, 1950. Tricom , F. G. Integral Equations, Interscience, 1957.
4.3.30.3 Reference Books Abdul, J.J., Introduction to Integral Equations, Marcel Dekker, 1985
4.3.31 MAT 468 Mathematical Modeling and Simulation 4.3.31.1 Credit hours: 03 4.3.31.2 Course Objectives At the end of this course the students will be able to understand applied mathematics and related fields with interest mathematical modeling and simulations. The goal of the course is to provide a good start into each of these fields, focusing more on fundamental ideas than on involved details. Focus will be given on the mathematical understanding as well on applying the concepts using MATLab. 4.3.31.3 Course Contents Basic concepts of computer modeling in science and engineering using discrete particle systems and continuum fields. Techniques and software for statistical sampling, simulation, data analysis and visualization. Use of statistical, quantum chemical, molecular dynamics, Monte Carlo, mesoscale and continuum methods to study fundamental physical phenomena encountered in the fields of computational physics, chemistry, mechanics, materials science, biology, and applied mathematics. Applications drawn from a range of disciplines to build a broad-based understanding of complex structures and interactions in problems where simulation is on equal-footing with theory and experiment. 4.3.31.4 Text Books Malkevitich, M., Graph Models and Finite Mathematics , Prentice Hall,
2002. Gustason, G. B. Analytical and Computational Methods of Advanced
Engineering, Springer Verlag, 1998.
Riphah_DBS_MSc_Mathematics_June 2019 43
4.3.32 MAT 469 Numerical Analysis 4.3.32.1 Credit hours: 03 4.3.32.2 Course Objectives The course has been designed to teach the students about numerical methods and their theoretical bases. It provides necessary background needed for numerical computing in various mathematical and engineering disciplines. The students are expected to know computer programming to be able to write programs for numerical methods. It is a pre-requisite for many engineering courses. Knowledge of Calculus and linear algebra would help in learning these methods. 4.3.32.3 Course Contents Ill-conditioned System and its solution, Condition number. Matrix Eigen value problem: Methods for finding Eigen values and Eigen vectors of a general matrix, Polynomial interpolation with derivative data, such as Birkhof- Hermite formula, Rational polynomial interpolation, Cubic spline interpolation. Osculating polynomials, Differentiation and integration in multidimension. 4.3.32.4 Text books Burden, R., Faires, J., & Burden, A., Numerical analysis. Cengage
Learning., 2015. Atkinson, K. E., An introduction to numerical analysis., John Wiley &
Sons, 2008.
4.3.32.5 Reference Books Johnson, L. & Dean, R., Numerical Analysis, Addison Wesley, 1977. Chapra, S. C., & Canale, R. P., Numerical methods for engineers. New
York: McGraw-Hill Higher Education, 2010. Kincaid, D. R., & Cheney, E. W., Numerical analysis: mathematics of
scientific computing (Vol. 2). American Mathematical Soc., 2002.
4.3.33 UR 550 Professional Ethics 4.3.33.1 Credits hours: 02
1. Understanding the Status of Man-Man 2. The fundamental needs of man according to the divine teachings 3. Physical needs 4. Spiritual needs 5. Alignment of both the needs with the divine teachings 6. Introduction to Professions in Islam 7. Different professions that are introduced by the Khulafa-e-Rashdeen and
other Muslim rulers 8. Division of professions according to Imam Shah Wali ullah 9. The rights and duties of laborer in Islam 10. Role of professionals in spreading Islam globally 11. Professional Ethics an overview 12. Kinds of Professional Ethics 13. Need based division of professions
Riphah_DBS_MSc_Mathematics_June 2019 44
14. Introduction to work place ethics
15. Islamic work place ethics a contrast with Secular work place ethics
16. Introduction to Employs’ evaluation
17. Kinds of professional evaluation
18. Managerial Evaluation
19. Peers evaluation
20. Subordinates evaluation
21. 360 degree Evaluation
22. Evaluation process merits and demerits
23. Ethics towards colleagues, Boss and Subordinates and public
24. Public interest vs. personal interest
25. Organizational interests vs. personal interest
26. Organizational conflicts
27. Whistle blowing
28. Golden rule
29. Silver rule
30. Advancement and integrity in professional life 31. Skills enhancement 32. Honesty and professional impartiality 33. Professional and ethical duties 34. Rights of employees 35. Ethical sensitivity 36. Ethical standards of conduct 37. Ethical judgment 38. Ethical will-power 39. Ethical responsibility 40. What does technological society mean? 41. Professional competence and prestige 42. To support ethical and technological societies and organizations 43. How to maintain public health, welfare and safety 44. Restriction to the area of competence only 45. Sustainable Development 46. Violation of the Code of Ethics 47. Highest ethical and professional conduct 48. Accepting responsibility in making decisions 49. Conflicts of interest
Riphah_DBS_MSc_Mathematics_June 2019 45
50. Disclosure of the conflicts to the affected parties 51. Honest and realistic in stating claims or estimates based on available data 52. To reject bribery 53. To improve the understanding of technology, it’s appropriate application,
and potential consequences 54. What does decent, ethical and truthful life mean? 55. How to make ethically wise choice? 56. Difference between moral obligations and professional obligations 57. Moral willingness for engaging professionals in engineering works 58. Crucial moral choices 59. Introduction to Decision Making 60. Decision Making precedents from the period of Nabuwah and Khulafa-e-
Rashideen Decision making process and ability in moral issues 61. Unbiased and impartial decision making and 62. organizational profitability 63. Professions and Market demand 64. Seeking jobs in national and International organizations 65. Legal status of professional bonds filled by the employees 66. Legal remedies vs. organizational remedies 67. Hiring and firing rules of national and international organizations 68. Scientific Research and the Quranic Hermeneutics 69. Muslim epistemology and Scientific Research Revisiting the scientific
findings and the approach of Marmaduke Pickthall 70. Evolution Theory of Darwin 71. The Law of Conservation Energy E=mc2 of Einstein
4.3.33.2 Books 1. Lillie, William, Introduction to Ethics, National Book Foundation, Pakistan 2. Nadvi, Syed Sulaman, Ethics in Islam, Dar-ul-Ishaat, Karachi 3. Chatgami, Abdus Slam, Maulana, Aaza-i-Insani key paywand kari. 4. Rahman Gohar Maulana, Tibbi Fiqhi Masail (Tafheemul Masail) Vol. I. 5. Rahman, Saif Ullah, Maulana Tibbi Fiqhi Masail 6. Hashmi, Ahmed, Dr. Oath of Muslim Doctor, Islamabad: PMDC 7. Lillie, William, Introduction to Ethics, Sage Publication, India 8. Nadvi, Syed Sulaman, Ethics in Islam, Dar-ul-Ishaat, Karachi
4.3.34 MAT -499 Project Report
4.3.34.1 Credit hours: 06
Riphah_DBS_MSc_Mathematics_June 2019 46
4.4 Standard 2-1
The curriculum must be consistent and supports the program’s
documented objectives.
4.4.1 Group 1: Pure Mathematics
Advanced Calculus MAT 401, Linear Algebra MAT 402, Set Topology MAT 403, Group Theory I MAT 406, Complex Analysis MAT 407, Real Analysis MAT 409, Functional Analysis I MAT 411
4.4.2 Group 2 Applied Mathematics
Numerical Methods MAT 408, Analytical Mechanics MAT 410, Partial Differential Equations MAT 412, Mathematical Statistics MAT 413 Ordinary Differential Equations MAT 404, Differential Geometry MAT 405
4.4.3 Course Groups and Program Objectives
Courses
Groups
Objectives
1 2 3 4 5 6
1 x x x x x
2 x x x x x
Table 4: Courses versus Program Objectives (table 4.4)
4.5 Standard 2-2
Theoretical backgrounds, problem analysis and solution design must
be stressed within the program’s core material.
Elements Courses
Riphah_DBS_MSc_Mathematics_June 2019 47
Theoretical Background (Pure Mathematics)
Advanced Calculus MAT 401, Linear Algebra MAT 402, Set Topology MAT 403, Group Theory I MAT 406, Complex Analysis MAT 407, Real Analysis MAT 409, Functional Analysis I MAT 411
Problem Analysis & Solution Design (Applied Mathematics)
Numerical Methods MAT 408, Analytical Mechanics MAT 410, Partial Differential Equations MAT 412, Mathematical Statistics MAT 413 Ordinary Differential Equations MAT 404, Differential Geometry MAT 405
Table 5: Standard 2-2 Requirement (table 4.5)
4.6 Standard 2-3
The Curriculum must satisfy the core requirements for the program as
specified by the respective accreditation body.
M.Sc. Mathematics program is recognized Higher Education Commission
has no deviation from the given syllabi.
Program Applied & Pure Mathematics
M.Sc Mathematics 62 Credit hours
Table 6: Program Credit Hours (appendix A table)
4.7 Standard 2-4
The curriculum must satisfy the major requirements for the program
as specified by the respective accreditation body.
Same as Standard 2-3.
4.8 Standard 2-5
The curriculum must satisfy general education, arts and professional
and other discipline requirements for the program as specified by the
respective accreditation body.
Same as standard 2-3 and Standard 2-1 (table 4.4) as defined above.
Riphah_DBS_MSc_Mathematics_June 2019 48
4.9 Standard 2-6
Information technology component of the curriculum must be
integrated throughout the program
Semester 3 contains the 3 credit hours of information technology topics
(C++ Language and Mat Lab), out of which 1 credit hour is for theoretical
work and 2 credit hours are for laboratory work. This course educates the
students with the basics of the computer sciences and its application in the
field of Mathematics.
The knowledge provided during this course is applicable throughout the
program whenever students do practical work in laboratory for any course
and that requires the knowledge of Information technology concepts to
execute their work. This course also helps them in their next higher
education fields.
4.10 Standard 2-7
Oral and written communication skills of the student must be
developed and applied in the program.
Students go through the elective courses of Mathematical Skills and
Technical Report Writing. It develops the oral and written communication
skills of the students.
5.0 Criterion 3: Laboratories and Computing Facilities
RIPHAH has established multiple laboratories for students to practice their learning
outcomes. Following is the list of available laboratories available to M.Sc.
Mathematics students:
Laboratory Title
Programming LAB 1 Number Of Systems (44)
Programming LAB 2 Number Of Systems (42)
System LAB 1 Number Of Systems (32)
System LAB 2 Number Of Systems (24)
General LAB 1 Number Of Systems (30)
General LAB 2 (For Female) Number Of Systems (20)
Programming LAB 3 (For Female) Number Of
Riphah_DBS_MSc_Mathematics_June 2019 49
Systems (20)
Location & Area
Block A Block A Block A Block A Block A Hostel Hostel
Objectives Provide students with IT facility to practice software applications and programming.
Provide students with IT facility to practice software applications and programming.
Provide students with IT facility to practice software applications and programming.
Provide students with IT facility to practice software applications and programming.
Provide students with IT facility to practice software applications and programming.
Provide students with IT facility to practice software applications and programming.
Provide students with IT facility to practice software applications and programming.
Adequacy for Instruction
All required instructions are displayed in the lab at appropriate places for use by faculty, students and support staff.
All required instructions are displayed in the lab at appropriate places for use by faculty, students and support staff.
All required instructions are displayed in the lab at appropriate places for use by faculty, students and support staff.
All required instructions are displayed in the lab at appropriate places for use by faculty, students and support staff.
All required instructions are displayed in the lab at appropriate places for use by faculty, students and support staff.
All required instructions are displayed in the lab at appropriate places for use by faculty, students and support staff.
All required instructions are displayed in the lab at appropriate places for use by faculty, students and support staff.
Courses Taught
Software Engineer & Computer Science
Software Engineer & Computer Science
Software Engineer & Computer Science
Software Engineer & Computer Science
Software Engineer & Computer Science
Software Engineer & Computer Science
Software Engineer & Computer Science
Software Available
1. MS Office 2. Adobe 3. NotePad++ 4. Code Block 5. Div++ 6. Visual Studio 7. MAtlab 8. Netbeans 9. VM Ware 10. Wire Shark 11. Sublime 12. Pyton 13. Unity 14. Xamp 15. Eclipse 16. Matrix 17. Browsers
1. MS Office 2. Adobe 3. NotePad++ 4. Code Block 5. Div++ 6. Visual Studio 7. MAtlab 8. Netbeans 9. VM Ware 10. Wire Shark 11. Sublime 12. Pyton 13. Unity 14. Xamp 15. Eclipse 16. Matrix 17. Browsers
1. MS Office 2. Adobe 3. NotePad++ 4. Code Block 5. Div++ 6. Visual Studio 7. MAtlab 8. Netbeans 9. VM Ware 10. Wire Shark 11. Sublime 12. Pyton 13. Unity 14. Xamp 15. Eclipse 16. Matrix 17. Browsers
1. MS Office 2. Adobe 3. NotePad++ 4. Code Block 5. Div++ 6. Visual Studio 7. MAtlab 8. Netbeans 9. VM Ware 10. Wire Shark 11. Sublime 12. Pyton 13. Unity 14. Xamp 15. Eclipse 16. Matrix 17. Browsers
1. MS Office 2. Adobe 3. NotePad++ 4. Code Block 5. Div++ 6. Visual Studio 7. MAtlab 8. Netbeans 9. VM Ware 10. Wire Shark 11. Sublime 12. Pyton 13. Unity 14. Xamp 15. Eclipse 16. Matrix 17. Browsers
1. MS Office 2. Adobe 3. NotePad++ 4. Code Block 5. Div++ 6. Visual Studio 7. MAtlab 8. Netbeans 9. VM Ware 10. Wire Shark 11. Sublime 12. Pyton 13. Unity 14. Xamp 15. Eclipse 16. Matrix 17. Browsers
1. MS Office 2. Adobe 3. NotePad++ 4. Code Block 5. Div++ 6. Visual Studio 7. MAtlab 8. Netbeans 9. VM Ware 10. Wire Shark 11. Sublime 12. Pyton 13. Unity 14. Xamp 15. Eclipse 16. Matrix 17. Browsers
Major Apparatus / Equipment
Computers, Multimedia
Computers, Multimedia
Computers, Multimedia
Computers, Multimedia
Computers, Multimedia
Computers, Multimedia
Computers, Multimedia
Table 8: Laboratories Details
5.1 Standard 3-1
Laboratory manuals/documentation/instructions for experiments must
be available and easily accessible to faculty and students.
Laboratory In-charge is the custodian of all the manuals and instructions
concerning his laboratory. Its copies are also available with the Program
Coordinator to be used by the faculty and students. These manuals and
instructions are issued to desired entity through a defined process and
Riphah_DBS_MSc_Mathematics_June 2019 50
proper record is maintained. The laboratory in-charge keeps the manuals
and instructions in laboratory for immediate access to students and faculty
members during the laboratory work.
Laboratory equipment and facilities in Riphah are equally good and
comparable to any high reputed university of the country.
5.2 Standard 3-2
There must be support personal for instruction and maintaining the
laboratories.
Each laboratory is authorized two staff members, Laboratory In-Charge and
Laboratory Attendant. Laboratory in-charge is responsible for overall
maintenance of laboratory and also maintains the manuals and instructions
while laboratory Attendant is responsible to maintain the laboratory
equipment and general duties within the lab.
5.3 Standard 3-3
The University computing infrastructure and facilities must be
adequate to support program’s objectives.
The computer laboratories have the latest computers & equipment. The
program objectives are that students shall be equipped with IT skills at the
end of the program and facilities (equipment and software) provided in the
computer laboratories are adequate enough to achieve defined goals.
Computing facilities in Riphah are extremely good and can be compared
with any high reputed university of the country.
RIPHAH is running a comprehensive Campus Management System. It
facilitates the faculty members in maintaining the attendance record,
examination schedules, time tables and student’s data.
Riphah_DBS_MSc_Mathematics_June 2019 51
6.0 Criterion 4: Student Support and Advising
Since the launch of RIPHAH in year 2002, all its programs have started and
finished on schedule. The culture in RIPHAH is that teachers and students
have facility of frequent interaction, even after classes, for any professional
and academic advice. This aspect is even highlighted and indicated by the
students in the feedback on HEC Performa number 10, taken by the Quality
Enhancement Cell (QEC) in the university.
6.1 Standard 4-1
Courses must be offered with sufficient frequency and number for
students to complete the program in a timely manner.
The department strategy to offer courses (core and electives) for the subject
program is based on schedule approved by Board of Studies in the
guidance of HEC instructions. The required and elective courses are offered
in a logical sequence that grooms the students to obtain the program’s
defined objectives and outcomes. The courses offered outside the
department belongs to Faculty of Computing or Faculty of Social Sciences
and Humanities. The Basic Sciences program coordinator coordinates with
the respective coordinator in and accommodates the desired course in
program’s time table.
6.2 Standard 4-2
Courses in the major area of study must be structured to ensure
effective interaction between students, faculty and teaching
assistants.
All courses in the program are taught by the single faculty member. Faculty
members interact frequently among themselves and with students. Students
Riphah_DBS_MSc_Mathematics_June 2019 52
are encouraged to participate in providing feedback and their views about
course contents during and after the classes.
6.3 Standard 4-3
Guidance on how to complete the program must be available to all
students and access to qualified advising must be available to make
course decisions and career choices.
Students are informed about the program requirements at the start of the
session during orientation week by in-charge programs and course
advisors. In-Charge Program/Course advisors guide students to choose
appropriate courses and also provide guidance on different issues. He also
maintains a list of guidance points provided to students during the semester
and program, which is being evaluated at the end of the program to take
necessary improvement.
In-charge student’s affair provides professional counseling to students
when needed. Students can get in touch directly with him/her for any
advice.
Program coordinator maintains a list of professional societies and technical
bodies, that is provided to students on demand and students can get
membership of such organizations on individual basis.
7.0 Criterion 5: Process Control
7.1 Standard 5-1
The process by which students are admitted to the program must be
based on quantitative and qualitative criteria and clearly documented.
This process must be periodically evaluated to ensure that it is
meeting its objectives.
Riphah_DBS_MSc_Mathematics_June 2019 53
The program has a well-defined admission criterion, which include
evaluation of student’s marks at different levels and admission test results.
The admission is done twice a year, in spring/fall semester.
The Students with 14-years BSc Mathematics degree, who qualify the entry
test of the university, are eligible for entry into M.Sc. Mathematics program.
Admission is granted strictly on the basis of result of the admission test and
interview.
This admission criterion is evaluated every 2 years by the board of faculties
and academic council in the light of instructions issued by HEC. Minor
internal adjustments regarding admission test result weightages or test
contents are made.
7.2 Standard 5-2
The process by which students are registered in the program and
monitoring of students’ progress to ensure timely completion of the
program must be documented. This process must be periodically
evaluated to ensure that it is meeting its objectives.
The student’s name, after completion of the admission process, is
forwarded to the Registrar office for registration in the specific program and
the registration number is issued.
Students are evaluated through assignments, sessional, midterm tests and
final examinations at the end of each semester. The laboratory work is
done on regular basis as per schedule and contributes significantly towards
the student’s evaluation for relevant course. Only qualified students in each
semester are allowed to join the next semester.
Riphah_DBS_MSc_Mathematics_June 2019 54
7.3 Standard 5-3
The process of recruiting and retaining highly qualified faculty
members must be in place and clearly documented. Also processes
and procedures for faculty evaluation, promotion must be consistent
with institution mission statement. These processes must be
periodically evaluated to ensure that it is meeting with its objectives.
Vacant and newly created positions are advertised in the national
newspapers, applications are received by the Registrar office, scrutinized
by the respective Deans, and call letters are issued to the short-listed
candidates on the basis of experience, qualification, publications and other
qualities/activities as determined by the University in the light of HEC
guidelines.
The candidates are interviewed by the University Selection Board. Selection
of candidates is approved by the BOG. Induction of new candidates
depends upon the number of approved vacancies.
Faculty members are retained by giving them good remuneration, favorable
teaching environment, research facilities and management support.
On yearly basis faculty performance is evaluated basing on HEC Performa
number 10 by the students, Deans recommendations and with the counter
signature of Vice Chancellor and Chancellor. The annual increment is based
on the recommendations of the Dean and the Vice chancellor.
7.4 Standard 5-4
The process and procedures used to ensure that teaching and
delivery of course material to the students emphasizes active learning
and that course learning outcomes are met. The process must be
periodically evaluated to ensure that it is meeting its objectives.
Riphah_DBS_MSc_Mathematics_June 2019 55
Students are the recipient of the delivery of course material, through their
teachers. The program is actively evaluated by Dean, In Charge program
and QEC. The feedback of the taught is best instrument to measure that the
course learning outcomes are met. The students give feedback on Performa
number 1 regarding course contents and how it was delivered. Through
Performa number 10, students evaluate and comment on teacher’s efforts,
put in to deliver the course contents, his general conduct in the class, the
environment, he, maintains and extra efforts, he makes to satisfy students,
thirst for knowledge.
Faculty feedback is also taken on HEC Performa number 2 (Faculty Course
Review Report) and Performa number 5 (Faculty Survey) which is a very
useful activity to evaluate the course contents, learning and teaching
environments and overall teachers satisfaction level. Course evaluation by
teachers also indicates what percentage of desired outcome has been
achieved by the course contents and what needs to be improved or
changed.
This exercise is done once a year. The feedback is discussed with Dean
and In charge program, who focus on making improvements in the weak
areas, identified by the students. Teacher’s evaluation performs are fed to
the computer and bar charts are made. Each teacher is graded out of 5
marks. The comparative bar charts indicate level of performance of
teachers, as visualized by the students. QEC formally submits these bar
charts to Dean and Vice Chancellor for their information and taking of
necessary corrective actions.
7.5 Standard 5-5
The process that ensures that graduates have completed the
requirements of the program must be based on standards, effective
Riphah_DBS_MSc_Mathematics_June 2019 56
and clearly documented procedures. This process must be
periodically evaluated to ensure that it is meeting its objectives.
.
The program is run on semester basis and at the end of each semester
examinations are held to evaluate the student’s progress in that semester.
Qualified students are allowed to join next semester and this cycle
continues till the end of 4th semester which is the final semester.
Student’s final results are announced on the basis of cumulative
performance in all the four semesters.
Requirements of this standard are met through 3 Performas issued by
HEC. The feedback is documented and its evaluation indicates degree of
satisfaction of the graduates. Three forms (Performa 3, Survey of
Graduating Students, Performs 7, Alumni Survey and Performa 8,
Employer Survey) are extremely good instruments to measure the
program outcomes.
The feedback is taken on yearly basis. The suggestions given by the
graduating students and graduates working in the industry are given due
weightage. For example a few graduates through Alumni survey indicated
that emphasis on mathematical skills be enhanced. The proposal is being
evaluated by Board of study of the Department of Basic Sciences and
recommendations are being made to Board of Faculty and Academic
Council to grant approval for change in syllabi.
The feedback of employers has been achieved. Generally, they are
satisfied; however, they have recommended that graduates be given more
practice in technical report writing and mathematical skills. This is also
being processed to make changes in syllabi.
8.0 Criterion 6: Faculty
Riphah_DBS_MSc_Mathematics_June 2019 57
8.1 Standard 6-1
There must be enough full time faculties who are committed to the
program to provide adequate coverage of the program areas/courses
with continuity and stability. The interests and qualifications of all
faculty members must be sufficient to teach all courses, plan, modify
and update courses and curricula. All faculty members must have a
level of competence that would normally be obtained through
graduate work in the discipline. The majority of the faculty must hold a
Ph.D. in the discipline.
Program Area of
Specialization
Courses in the area
and average number
of sections per year
Number of faculty
members in each
area
Number of
faculty with Ph.D
Degree
Applied Mathematics Advanced Calculus MAT
401, Linear Algebra
MAT 402, Set Topology
MAT 403, Group Theory
I MAT 406, Complex
Analysis MAT 407, Real
Analysis MAT 409,
Functional Analysis I
MAT 411,
8 4
Pure Mathematics Numerical Methods MAT
408, Analytical
Mechanics MAT 410,
Partial Differential
Equations MAT 412,
Mathematical Statistics
MAT 413 Ordinary
Differential Equations
MAT 404
Differential Geometry
MAT 405
7 3
Total 20 15 7
Table 11: Faculty Distribution by Program Area (table 4.6)
Riphah_DBS_MSc_Mathematics_June 2019 58
8.2 Standard 6-2
All faculty members must remain current in the discipline and
sufficient time must be provided for scholarly activities and
professional development. Also, effective programs for faculty
development must be in place. Effective Programs for Faculty
Development
Faculty concurrency in the discipline is determined based on the criterion
set by the University in the light of HEC guidelines. All faculty members
submit their professional resumes on HEC Performa number 9 (Faculty
Resume) once a year. This information is compared with the existing
criterion set by university for the concurrency of the post.
All full time faculty members are allocated teaching hours as per HEC
defined limit which enables the faculty to have enough spare time to
perform scholarly activities and improve their knowledge and skills.
Faculty members are provided with adequate resources for research and
academic activities. Every faculty members has been provided with
computer system and access to internet. Faculty members have also
access to library materials for academic and research activities.
Professional training is also provided to faculty if required to enhance their
capabilities.
University has defined the development programs for faculty members
under the arrangement of RARE (Riphah Academy of Research and
Education). RARE holds frequent interactive sessions of junior and senior
faculty to discuss teaching methodology with a view to train the young
faculty members. This practice is done on yearly basis during the summer
Riphah_DBS_MSc_Mathematics_June 2019 59
vacations. After every 2 year the development program is analyzed in
Deans Council for its effectiveness and necessary improvements.
The university encourages the faculty to participate in research activities by
providing them sufficient financial support within or outside university.
8.3 Standard 6-3
All faculty members should be motivated and have job satisfaction to
excel in their profession.
Faculty members are motivated through public appreciation and
documented appreciation (annual performance evaluation report) by the
HoD/In-Charge Program and Dean on regular basis.
The faculty survey of the program using HEC Performa number 5 indicates
the mix reactions of the faculty, which indicates that teaching load be
distributed evenly and more relaxed environment be generated. Faculty
Surveys are attached in Annex G.
9.0 Criterion 7: Institutional Facilities
9.1 Standard 7-1
The institution must have the infrastructure to support new trends in
learning such as e-learning.
The university has provided e-learning facilities to faculty members and
students. Each faculty member has a computer system with access to
internet and e-learning library section.
Students have been provided a number of computer systems in the library
to access e-learning section. Every student has been provided with user ID
Riphah_DBS_MSc_Mathematics_June 2019 60
to access the e-learning resources from within the university library. The
university library is linked with foreign universities libraries through internet.
The support staff to look after the e-learning resources is sufficient in
number, trained and responsive. The university has provided enough
funding to support the e-learning.
9.2 Standard 7-2
The library must possess an up-to-date technical collection relevant to
the program and must be adequately staffed with professional
personnel.
The university library has enough technical books in hard copies to support
the program learning. The internet access to the external universities
libraries provides opportunities to the students and faculty to obtain
knowledge from their technical resources.
The library is staffed with more than 8 professionals to help students and
faculty members to get access to required book or learning material
efficiently.
9.3 Standard 7-3
Class-rooms must be adequately equipped and offices must be
adequate to enable faculty to carry out their responsibilities.
Enough class rooms are available to run the program as per desired
schedule. In few class rooms, there is a need of up-gradation of multimedia
and other resources. The work orders have been initiated and procurement
process is in progress.
Riphah_DBS_MSc_Mathematics_June 2019 61
10.0 Criterion 8: Institutional Support
10.1 Standard 8-1
There must be sufficient support and financial resources to attract
and retain high quality faculty and provide the means for them to
maintain competence as teachers and scholars.
University allocates enough financial resources each year to hire competent
faculty as required.
As already listed in standard 5-3, Faculty members are retained by giving
them good remuneration, favorable teaching environment, research facilities
and management support.
As listed in standard 6-2, Faculty members are provided with adequate
resources for research and academic activities to maintain their
competence. Every faculty members has been provided with computer
system and access to internet. Faculty members have also access to library
materials for academic and research activities. Professional training is also
provided to faculty if required to enhance their capabilities.
10.2 Standard 8-2
There must be an adequate number of high quality graduate students,
research assistants and Ph.D. students.
The university follows the guidelines of HEC for admission in this program.
The number of graduating students during current year is 166 with 4,
research fellows and 3 Ph.D. Scholars.
Faculty to graduate student’s ratio for the last three years remained in the
range of 7:1 to 8:1.
Riphah_DBS_MSc_Mathematics_June 2019 62
10.3 Standard 8-3
Financial resources must be provided to acquire and maintain Library
holdings, laboratories and computing facilities.
Library at RIU holds more than 50000 books for all programs. Sufficient
numbers of computers are available to be used by the students. Library is
organized to accommodate a number of students (male, female) in research
cubicles as well as in the common places. Separate common rooms for
male and female students are available with internet facility.
Laboratories at RIPHAH holds adequate equipment to be used by the
students to carry out desired experiments and laboratory work. Each year a
handful of budget is allocated for laboratories to maintain and upgrade the
equipment and other facilities.
Computing facilities at RIPHAH provide excellent platform to students to
enhance their learning capabilities. There are 2 computer laboratories in
Faculty of computing, which are accessible to all students for their use.
11.0 Conclusion
The self-assessment report of the Department of Basic Sciences (MSc
Mathematics), Riphah International University, I-14 Campus Islamabad is
an important document, which gives strengths and area requiring focus of
the program. The management is striving hard to improve infrastructure
for establishment of conducive environments for studies. The faculty is
focused on imparting quality education, introduction of new and innovative
techniques and conduct of quality research to produce competent
graduates in the subject of Mathematics. The report has been prepared
after evaluating the program in the light of 8 criterion and 31 standards
given in HEC’s Self-Assessment Manual. The program mission objectives
and outcomes are assessed and strategic plans are presented to achieve
Riphah_DBS_MSc_Mathematics_June 2019 63
the goal, which are again measurable through definite standards.
Teachers’ evaluation revealed satisfactory standards. Alumni surveys
revealed variable results with regards to knowledge, interpersonal skills,
management and leadership skill. Areas requiring focus are identified
which are related to space, laboratories and equipment. Improvements in
curriculum design and infrastructure are suggested which are based upon
set, well defined and approved criteria. Pre-requisites are fully observed,
examinations are held on schedules, academic schemes are prepared
well in advance, transparent admission, registration and recruiting policy,
excellent student teacher ratio are some of the strong areas of this
program. The numbers of courses along with titles and credit hours for
each semester, course contents for degree program, are thoroughly
planned. Their efficacy was measured through different standards and it
was found to be satisfactory.
The facilities and shortcomings in the infrastructure and syllabi have been
discussed. It was concluded that laboratory facilities and class rooms
need further improvement. The need of refreshal courses for the fresh
faculty on method of teaching cannot be over emphasized.
Proper steps are taken to guide the students for program requirements,
communication, meetings, tutorial system, tours, students-teacher
interaction etc. Some improvements have been suggested. As regards the
process control covering admission, registration, recruiting policy, courses
and delivery of material, academic requirements, performance and
grading, university, as well as Higher Education Commission have set
forth proper rules, which are properly followed. At present there are eleven
faculty members who are highly qualified in their fields. However, faculty
members need motivation for advanced knowledge, research and external
training.
Riphah_DBS_MSc_Mathematics_June 2019 64
Institutional facilities were measured through Criterion 3; infrastructure,
library, class room and faculty offices and in each case, short comings and
limitation are highlighted. Institutional facilities need to be strengthened.
Accordingly, institutional support will greatly promote and strengthen
academic, research, management and leadership capabilities.
In conclusion, the Strengths and Areas Requiring Focus are:
d. Coherent, on time and uninterrupted semester system
e. Efficient and capable senior faculty
f. Market oriented course contents
Area Requiring Focus
g. Inadequate seating capacity in the class rooms
h. Training of Junior Faculty members
i. Lack of Information technology component in the curriculum
j. Oral and written communication skills of the student need to develop
k. Low use of VLE
l. Overloaded Faculty Members
*********************
Riphah_DBS_MSc_Mathematics_June 2019 65
42%
30%
15%
10%3%
Knowledge
Excellent
Very Good
Good
Fair
Poor
32%
30%
25%
7%6%
Interpersonal skill
Excellent
Very Good
Good
Fair
Poor
25%
15%
30%
15%
20%
Management Skills
Excellent
Good
Very Good
Fair
Poor
34%
38%
15%
7%6%
Communication Skills
Excellent
Very Good
Good
Fair
Poor
Annexures
Annexure – A: Alumni Survey
Riphah_DBS_MSc_Mathematics_June 2019 66
20%
30%38%
8%4%
Knowledge
Excellent
Very Good
Good
Fair
Poor
28%
29%
21%
13%
9%
Communication Skills
Excellent
Very Good
Good
Fair
Poor
45%
25%
10%
15%
5%
Interpersonal Skills
Excellent
Good
Very Good
Fair
Poor
44%
39%
10%
4% 3%
Work Skills
Excellent
Very Good
Good
Fair
Poor
Annexure – B: Employer Survey
Riphah_DBS_MSc_Mathematics_June 2019 67
Annexure – C: Course Evaluation Survey (Sample Individual Course Report)
Course: Advanced Calculus (1)
1. (1) The course objectives were clear.
- 5: 41 (70.69 %)
- 4: 10 (17.24 %)
- 3: 5 (8.62 %)
- 2: 2 (3.45 %)
- 1: 0
2. (2) The course workload was manageable - 5:
39 (67.24 %) - 4:
17 (29.31 %) - 3:
2 (3.45 %) - 2: 0
- 1: 0
3. (3) The length of the course was appropriate - 5:
38 (65.52 %) - 4:
16 (27.59 %) - 3:
4 (6.90 %) - 2: 0
- 1: 0
4. (4) Teaching methods encouraged participation - 5:
41 (70.69 %) - 4:
13 (22.41 %) - 3:
4 (6.90 %) - 2: 0
Riphah_DBS_MSc_Mathematics_June 2019 68
- 1: 0
5. (5) The Teacher strictly follows the goals and objectives of the course. - 5:
42 (72.41 %) - 4:
12 (20.69 %) - 3:
4 (6.90 %) - 2: 0
- 1: 0 6. (6) Learning materials (lesson plans, Course notes etc) were relevant and useful.
- 5: 41 (70.69 %)
- 4: 14 (24.14 %)
- 3: 3 (5.17 %)
- 2: 0
- 1: 0
7. (7) Recommended reading books etc were relevant and appropriate - 5:
41 (70.69 %) - 4:
12 (20.69 %) - 3:
4 (6.90 %) - 2: 1 (1.72 %)
- 1: 0
8. (8) I understood all the lectures - 5:
38 (65.52 %) - 4:
13 (22.41 %) - 3:
5 (8.62 %) - 2: 1 (1.72 %)
- 1: 1 (1.72 %)
Riphah_DBS_MSc_Mathematics_June 2019 69
9. (9) The pace of the course was appropriate - 5:
39 (67.24 %) - 4:
14 (24.14 %) - 3:
5 (8.62 %) - 2: 0
- 1: 0
10. (10) The methods of assessments were fair - 5:
42 (72.41 %) - 4:
13 (22.41 %) - 3:
3 (5.17 %) - 2: 0
- 1: 0 11. (11) As a result of taking this course my interest and curiosity about the issues
and questions in this subject area has grown - 5:
37 (63.79 %) - 4:
18 (31.03 %) - 3:
2 (3.45 %) - 2: 1 (1.72 %)
- 1: 0
12. (12) As a result of taking this course my thinking is more focused and systematic, at least in this subject area.
- 5: 34 (58.62 %)
- 4: 20 (34.48 %)
- 3: 3 (5.17 %)
- 2: 0
- 1: 1 (1.72 %)
Riphah_DBS_MSc_Mathematics_June 2019 70
13. (13) The material in the practical was useful (if applicable) - 5:
37 (63.79 %) - 4:
15 (25.86 %) - 3:
3 (5.17 %) - 2: 1 (1.72 %)
- 1: 1 (1.72 %) 14. (14) In this course, I improved my ability to give sound reasons regarding issues
in this subject area - 5:
32 (55.17 %) - 4:
20 (34.48 %) - 3:
5 (8.62 %) - 2: 1 (1.72 %)
- 1: 0
15. (15) Any suggestions to improve the course and/or its content. - Your way of teaching is perfect..... - - NO COMMENTS - Difficult book. And need more related material - If possible course should not be lengthy - Nothing... because he is perfect teacher -
Riphah_DBS_MSc_Mathematics_June 2019 71
Annexure – D: Teachers Evaluation Survey by Students (Sample Report)
Faculty: Abdullah Shoaib Course: Advanced Calculus (1)
1. (Undertaking) I confirm that evaluation being done by me is all correct
- Yes: 58 (100.00 %)
- No: 0
2. (1) The Teacher starts and finishes class on time - 5:
46 (79.31 %) - 4:
9 (15.52 %) - 3:
3 (5.17 %) - 2: 0
- 1: 0
3. (2) The Teacher comes duly prepared for the lecture in each class - 5:
34 (58.62 %) - 4:
17 (29.31 %) - 3:
6 (10.34 %) - 2: 1 (1.72 %)
- 1: 0
4. (3) The Teacher utilizes full time of class focusing on the subject matter - 5:
38 (65.52 %) - 4:
17 (29.31 %) - 3:
3 (5.17 %) - 2: 0
- 1: 0
5. (4) The Teacher demonstrates knowledge of the subject - 5:
39 (67.24 %) - 4:
Riphah_DBS_MSc_Mathematics_June 2019 72
12 (20.69 %) - 3:
7 (12.07 %) - 2: 0
- 1: 0
6. (5) The Teacher has covered the whole course - 5:
35 (60.34 %) - 4:
16 (27.59 %) - 3:
5 (8.62 %) - 2: 1 (1.72 %)
- 1: 1 (1.72 %)
7. (6) The Teacher is available for after class consultations during the specified office hours.
- 5: 46 (79.31 %)
- 4: 10 (17.24 %)
- 3: 1 (1.72 %)
- 2: 1 (1.72 %)
- 1: 0
8. (7) The Teacher provides additional material/books/internet references apart from the text book
- 5: 31 (53.45 %)
- 4: 15 (25.86 %)
- 3: 7 (12.07 %)
- 2: 3 (5.17 %)
- 1: 2 (3.45 %)
9. (8) The Teacher communicates the subject matter clearly and effectively - 5:
43 (74.14 %) - 4:
Riphah_DBS_MSc_Mathematics_June 2019 73
10 (17.24 %) - 3:
4 (6.90 %) - 2: 1 (1.72 %)
- 1: 0
10. (9) The Teacher maintains a conducive environment in the class - 5:
40 (68.97 %) - 4:
12 (20.69 %) - 3:
6 (10.34 %) - 2: 0
- 1: 0
11. (10) The Teacher shows respect towards students and encourages class participation
- 5: 49 (84.48 %)
- 4: 8 (13.79 %)
- 3: 1 (1.72 %)
- 2: 0
- 1: 0
12. (11) The Teacher ensures equitable participation of the students in the class - 5:
39 (67.24 %) - 4:
15 (25.86 %) - 3: 1 (1.72 %)
- 2: 2 (3.45 %)
- 1: 1 (1.72 %)
13. (12) The Teacher is fair in exams and grading - 5:
46 (79.31 %) - 4:
10 (17.24 %)
Riphah_DBS_MSc_Mathematics_June 2019 74
- 3: 2 (3.45 %)
- 2: 0
- 1: 0
14. (13) The Teacher checks and returns assignments/exams and scripts, in time - 5:
39 (67.24 %) - 4:
12 (20.69 %) - 3:
7 (12.07 %) - 2: 0
- 1: 0 15. (14) The Teacher relates current lesson content to previous and future lessons
- 5: 40 (68.97 %)
- 4: 14 (24.14 %)
- 3: 4 (6.90 %)
- 2: 0
- 1: 0 16. (15) The teacher takes extra steps to elevate competency level of weak students
- 5: 43 (74.14 %)
- 4: 10 (17.24 %)
- 3: 5 (8.62 %)
- 2: 0
- 1: 0
17. (16) The Teacher accepts and incorporates student’s ideas, questions and responses.
- 5: 39 (67.24 %)
- 4: 14 (24.14 %)
- 3:
Riphah_DBS_MSc_Mathematics_June 2019 75
3 (5.17 %) - 2: 0
- 1: 2 (3.45 %)
18. (17) The Teacher make use of audio/visual aids to make the lectures interesting - 5:
28 (48.28 %) - 4:
15 (25.86 %) - 3:
5 (8.62 %) - 2:
3 (5.17 %) - 1:
7 (12.07 %) 19. (18) The Teacher uses easy and understandable vocabulary for students
- 5: 47 (81.03 %)
- 4: 9 (15.52 %)
- 3: 2 (3.45 %)
- 2: 0
- 1: 0 20. (19) During the teaching, the teacher display the enthusiasm towards the subject
and teaching -motivation to subject interest - 5:
36 (62.07 %) - 4:
16 (27.59 %) - 3:
3 (5.17 %) - 2:
2 (3.45 %) - 1: 1 (1.72 %)
21. (20) The teacher is using VLE/Moelim for academic activities (assignments/quizes/notes)
- 5: 33 (56.90 %)
- 4: 15 (25.86 %)
- 3:
Riphah_DBS_MSc_Mathematics_June 2019 76
8 (13.79 %) - 2: 1 (1.72 %)
- 1: 1 (1.72 %)
22. (21) Any comments about teacher - Excellent - No - Doing Great Sir. Stay blessed... -
Riphah_DBS_MSc_Mathematics_June 2019 77
Annexure-E: Research Papers (Impact Factor Publication – Year 2017)
Names of Riphah Author
Publicaiton Title
DOI Journal Volume (Issue No.)
Month Year
Name Impact Factor
DBS
Muhammad Farooq
Thermally stratified stretching flow with cattaneo‐Christov heat flux
10.1016/j.ijheatmasstransfer.2016.10.071 International Journal of Heat and Mass Transfer
2.857 106 March 2017
Muhammad Farooq
Impact of Marangoni convection in the flow of Carbon‐water nanofluid with thermal radiation
10.1016/j.ijheatmasstransfer.2016.08.115 International Journal of Heat and Mass Transfer
2.857 106 March 2017
Muhammad Farooq
Numerical simulation for melting heat transfer and radiation effects in stagnation point flow of carbon‐water nanofluid
10.1016/j.cma.2016.11.033 Computer Methods in Applied Mechanics and Engineering
3.467 315 March 2017
Muhammad Rizwan
Fourth‐order central compact scheme for the numerical solution of incompressible Navier‐Stokes equations
10.1080/00207160.2017.1284315 International Journal of Computer Mathematics
0.577 Feb 2017
Zafar Wazir
Study of the pT distributions of secondary charged particles produced in p12C interaction at 4.2 A GeV/c
10.1007/s12648‐017‐0995‐1 Indian Journal of Physics
1.166 April 2017
Muhammad Yaqub Khan
Effect of entropy on anomalous transport in ITG‐modes of magneto‐plasma
10.1088/1741‐4326/aa5e2f Nuclear Fusion
4.04 57(4) March 2017
Anwar Ul Haq
Riphah_DBS_MSc_Mathematics_June 2019 78
Muhammad Asad Zaighum
A subclass of Analytic Functions Related to k‐Uniformly Convex and Starlike Functions
10.1155/2017/9010964 Journal of Function Spaces
0.426 Article ID 9010964
April 2017
Muhammad Asad Zaighum
Sharp weighted bounds for one‐sided operators
10.1515/gmj‐2017‐0016 Georgian Mathematical Journal
0.417 24(2) June 2017
Zafar Iqbal Microwaves absorbing characteristics of metal ferrite/multiwall carbon nanotubes nanocomposites in X‐band
10.1016/j.compositesb.2017.01.034 Composites Part B: Engineering
3.85 114 April 2017
Muhammad Yuqab Khan
Soliton formation in ion temperature gradient driven magneto‐plasma
10.1063/1.4979259 Physics of Plasmas
2.207 24 April 2017
Muhammad Yuqab Khan
Dynamics of variable‐viscosity nanofluid flow with heat transfer in a flexible vertical tube under propagating waves
10.1016/j.rinp.2016.12.036 Results in Physics
1.337 7 2017
Muhammad Yuqab Khan
Numerical Simulations of the Square Lid Driven Cavity Flow of Bingham Fluids Using Nonconforming Finite Elements Coupled with a Direct Solver
10.1155/2017/5210708 Advances in Mathematical Physics
0.787 Volume 2017
March 2017
Fixed Points of α‐Dominated Mappings on Dislocated Quasi Metric Spaces
Synthesis, magnetic and microstructural properties of Alnico magnets with additives
Riphah_DBS_MSc_Mathematics_June 2019 79
Effects of Zr alloying on the microstructure and magnetic properties of Alnico permanent magnets
Riphah_DBS_MSc_Mathematics_June 2019 80
Annexure – F: Survey of Graduating Students
40%
32%
15%
10%
3%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
VerySatisfied
Satisfied Uncertain Dissatisfied VeryDissatisfied
Survey of Graduating Students
Survey of Graduating Students
Annexure – G: Faculty Survey
No. Questions Percentage
Extremely Satisfied Very
SatisfiedNeutral Slightly
SatisfiedNot at all Satisfied
Extremely
Satisfied
Very Satisfi
edNeutral Slightly
SatisfiedNot at all Satisfied
1 Clarity of institution's goals/mission 22 7 2 2 0 66.67 21.21 6.06 6.06 0.00
2 Communications from/with peers and faculty/departmental leadership 12 16 3 1 1 36.36 48.48 9.09 3.03 3.03
3 Type of teaching/ research you currently do.. 15 15 2 1 0 45.45 45.45 6.06 3.03 0.00
4 Your interaction with students in and outside classroom 18 14 1 0 0 54.55 42.42 3.03 0.00 0.00
5 Your satisfaction level regarding office and IT facilities available to you. 6 7 10 8 2 18.18 21.21 30.30 24.24 6.06
6 The mentoring available to you from seniors 7 16 7 3 0 21.21 48.48 21.21 9.09 0.00
7 Administrative support from the faculty/department. 9 16 7 1 0 27.27 48.48 21.21 3.03 0.00
8 Clarity and Satisfaction about the faculty promotion process. 7 10 8 3 5 21.21 30.30 24.24 9.09 15.15
9 Your prospects for advancement and progress through ranks. 8 10 11 1 3 24.24 30.30 33.33 3.03 9.09
10 Salary and compensation package. 4 7 8 9 5 12.12 21.21 24.24 27.27 15.15
11 Job security and stability at the faculty/department/university. 8 10 5 5 5 24.24 30.30 15.15 15.15 15.15
12 Amount of time you have for yourself and family. 3 9 9 9 3 9.09 27.27 27.27 27.27 9.09
13 The overall environment in the department. 9 15 8 1 0 27.27 45.45 24.24 3.03 0.00
14 Adequacy of technological & multimedia instructional resources in classrooms 6 20 6 1 0 18.18 60.61 18.18 3.03 0.00
15 Whether the department is utilizing your experience and knowledge. 8 19 4 1 1 24.24 57.58 12.12 3.03 3.03
Riphah_DBS_MSc_Mathematics_June 2019 82
16 Recognition/appreciation of good teaching by seniors 6 14 6 2 5 18.18 42.42 18.18 6.06 15.15
17 Opportunities for research in your discipline and recognition of research accomplishment 5 14 10 3 1 15.15 42.42 30.30 9.09 3.03
27.27 39.04 19.07 9.09 5.53
0.00
5.00
10.00
15.00
20.00
25.00
30.00
35.00
40.00
ExtremelySatisfied
VerySatisfied
Neutral SlightlySatisfied
Not at allSatisfied
27.27
39.04
19.07
9.09
5.53
Annexure – H: Faculty Resume
Name of Faculty Member
Gender
Nationality Designation Highest Degree
Name of University of Highest Degree
CNIC No. (e.g. 601101‐8343126‐9)
Muhammad Afzal Rana Male Pakistani Professor Ph.D.
Quaid‐e‐Azam University 61101‐1916224‐3
Muhammad Aslam Male Pakistani Professor Ph.D. University of Wales UK 61101‐2253046‐7
Zafar Wazir Male Pakistani Associate Professor Ph.D.
Comsats Institute of Information Technology 38202‐9499821‐7
Ijaz Ahmed Male Pakistani Associate Professor Ph.D.
Quaid‐e‐Azam University 61101‐1923704‐9
Muhammad Yaqub Khan Male Pakistani
Associate Professor Ph.D.
Quaid‐e‐Azam University 61101‐3939859‐9
Muhammad Farooq Nasir Male Pakistani
Assistant Professor Ph.D.
Comsats Institute of Information Technology 37405‐0264193‐9
Noor Rehman Male Pakistani Assistant Professor Ph.D.
Quaid‐e‐Azam University 17301‐1496330‐7
Irfan Qasim Male Pakistani Assistant Professor Ph.D.
International Islamic Univeristy Islamabad 37405‐0352395‐9
Muhammad Farid Khan Male Pakistani
Assistant Professor Ph.D.
University of Glasgow 61101‐7461790‐9
Muhammad Farooq Male Pakistani Assistant Professor Ph.D.
Quaid‐e‐Azam University 11201‐0511073‐5
Muhammad Rizwan Male Pakistani Assistant Professor MS
Comsats Institute of Information Technology 61101‐4874298‐9
Abdur Razzaque Male Pakistani Assistant Professor Ph.D.
University Sans Malaysia 35201‐6160823‐1
Amin ur Rahman Male Pakistani Assistant Professor Ph.D. Hazara University 16202‐3161727‐3
Nasir Mehboob Male Pakistani Assistant Professor Ph.D.
University of Vienna 37405‐5776173‐3
Abdullah Shoaib Male Pakistani Assistant Professor Ph.D.
International Islamic Univeristy Islamabad 37405‐6546689‐9
Muhammad Asad Zaighum Male Pakistani
Assistant Professor Ph.D.
Government College University Lahore 61101‐4463702‐9
Hammad Nafis Male Pakistani Assistant Professor M.Phil
Quaid‐e‐Azam University 37405‐0665395‐5
Ambreen Arshad Female Pakistani Assistant M.Phil Quaid‐e‐Azam 37405‐3743010‐0
Riphah_DBS_MSc_Mathematics_June 2019 84
Professor University
Sadia Nadir Female Pakistani Lecturer M.Phil Quaid‐e‐Azam University 61101‐4407514‐2
Aisha Anjum Female Pakistani Lecturer M.Phil Quaid‐e‐Azam University 13302‐4405043‐2
Mudassir Shams Male Pakistani Lecturer M.Phil
Riphah International University 17102‐8056070‐1
Abbas Ali Male Pakistani Lecturer M.Phil
Riphah International University 17201‐6880235‐7
Mahpara Ghazanfar Female Pakistani Lecturer MSc University of Peshawar 82303‐3513948‐6
Asif Zahir Male Pakistani Lecturer MSc
Azad Jammu Kashmir University University 37406‐0358791‐9
Qazi Muhammad Ahkam Male Pakistani Lecturer M.Phil
University of Peshawar 17301‐1266910‐1
Shezadi Salma Kanwal Female Pakistani Lecturer M.Phil
Quaid‐e‐Azam University 37405‐0402704‐8
Zafar Iqbal Male Pakistani Professor Ph.D. Quaid‐e‐Azam University 37405‐3533660‐7
Nazir Ahmad Mir Male Pakistani Professor Ph.D. Hamdard University 35200‐2591062‐9
Riphah_DBS_MSc_Mathematics_June 2019 85
Annexure – I: Lab & Studios Safety Precautions
Laboratory Staff
Be calm and relaxed, while working in Lab.
No loose wires or metal pieces should be lying on table or near the circuit, to
cause shorts and sparking.
Avoid using long wires, that may get in way while making adjustments or
changing leads.
Keep high voltage parts and connections out of the way from accidental
touching and from any contacts to test equipment or any parts, connected to
other voltage levels.
BE AWARE of bracelets, rings, metal watch bands, and loose necklace (if you
are wearing any of them), they conduct electricity and can cause burns. Do not
wear them near an energized circuit.
Do not install any software on any computer without getting approval from the
respective authorities.
Make sure all the computers and other equipment in the labs are
switched off at the end of the day.
Do not unplug a computer or equipment without switching it off first. Students
Shut down the computers properly after finishing your work.
Do not install any software on any computer. If you are unable to find any
required software, please contact the IT staff for help and support.
Do not switch off network printers and scanners.
Do not damage any equipment in the lab.
Be considerate to other students while working in the labs.
Riphah_DBS_MSc_Mathematics_June 2019 86
Annexure –J
AT Findings
Panel - Assessment Team Following Assessment Team Members Visited Department of Basic Sciences (DBS) on 11 March, 2019
Exit Meeting – 11 March, 2019 Following attended the meeting:- Prof. Dr. Khurram Shahzad (Chairman AT)
Engr. Salim Ahmed Khan (Convener) Prof. Dr. Jameel Ahmed Dean FEAS
Mr. Hammad Nafees Program Team
Engr. Fawad Sadiq Member Mr. Tariq Bhatti Member
The Chairman AT presented his final recommendations to carry out the improvements in this program. The Respected Chairman approved the proceedings:
a. Inadequate seating capacity in the class rooms
b. Training of Junior Faculty members
c. Lack of Information technology component in the curriculum
d. Need to develop oral and written communication skills of the
students
e. Low use of VLE
f. Overloaded Faculty Members
Note: After the above exit meeting, the Departmental head prepared the implementation plan with target dates and submitted it to the QEC. The QEC pursued the activities and then mentioned the final status completed/in progress in Annex-K before submitting the SAR to HEC
Riphah_DBS_MSc_Mathematics_June 2019 87
Riphah_DBS_MSc_Mathematics_June 2019 88
Annexure – L: Faculty Course Review Report
Department of Basic Sciences (DBS) is running different courses for the MSc
Mathematics program. All courses curriculum is reviewed periodically by the Board of
Studies to assess its effectiveness and contribution in achieving program objectives.
Course review also contributes towards making any changes in the syllabi.
PT members launched HEC Performa 2 (Faculty of Course Review Report) to all the
faculty members, to obtain their feedback about courses.
The summary of the overall feedback of all courses identified the following
improvement points:
a. Syllabi review to improve communication and interpersonal skills of the
students.
b. Improvement in course curriculum t o emphasis o n Leadership
component.
c. Provision of more technical/financial resources to execute final projects d.
Improvement in learning the methodology of Market working,
d. Demand, Supply Chain and meeting the targets, skills. Board of Studies scrutinized these points and presented in the Board of Faculty that
will review and suggest the implementation as deemed necessary.
Riphah_DBS_MSc_Mathematics_June 2019 89
Annexure – M: Rubric Report
Self-Assessment Report
Criterion 1 – Program Mission, Objectives and Outcomes Weight = 0.05 Factors Score 1. Does the program have document measurable objectives that support faculty/ college and institution mission statements?
5 4 3 2 1
2. Does the program have documented outcomes for graduating students?
5 4 3 2 1
3. Do these outcomes support the Program objectives? 5 4 3 2 1
4. Are the graduating students capable of performing these outcomes?
5 4 3 2 1
5. Does the department assess its overall performance periodically using quantifiable measures?
5 4 3 2 1
6. Is the result of the Program Assessment documented?
5 4 3 2 1
Total Encircled Value (TV) 23 SCORE 1 (S1) = [TV/ (No. of Question * 5)] * 100 * 0.05 3.83 Criterion 2– Curriculum Design and Organization Weight = 0.20 Factors Score 1. Is the curriculum consistent? 5 4 3 2 1
2. Does the curriculum support the program’s documented objectives?
5 4 3 2 1
3. Are the theoretical background, problem analysis and solution design stressed within the program’s core material?
5 4 3 2 1
4. Does the curriculum satisfy the core requirements laid down by HEC?
5 4 3 2 1
5. Does the curriculum satisfy the major requirements laid down by HEC?
5 4 3 2 1
6. Does the curriculum satisfy the professional requirements as laid down by HEC?
5 4 3 2 1
7. Is the information technology component integrated throughout the program?
5 4 3 2 1
8. Are oral and written skills of the students developed and applied in the program?
5 4 3 2 1
Total Encircled Value (TV) 37 SCORE 1 (S1) = [TV/ (No. of Question * 5)] * 100 * 0.20 18.5 Criterion 3– Laboratories and Computing Facilities Weight = 0.10 Factors Score 1. Are the laboratory manuals/ documentation/ instructions etc. 5 4 3 2 1
Riphah_DBS_MSc_Mathematics_June 2019 90
for experiments available and readily accessible to faculty and students? 2. Are there adequate number of support personnel for instruction and maintaining the laboratories?
5 4 3 2 1
3. Are the University’s infrastructure and facilities adequate to support the program’s objectives?
5 4 3 2 1
Total Encircled Value (TV) 15 SCORE 1 (S1) = [TV/ (No. of Question * 5)] * 100 * 0.10 10 Criterion 4– Student Support and Advising Weight = 0.10 Factors Score 1. Are the courses being offered in sufficient frequency nd number for the students to complete the program in a timely manner?
5 4 3 2 1
2. Are the courses in the major area structured to optimize interaction between the students, faculty and teaching assistants?
5 4 3 2 1
3. Does the university provide academic advising on course decisions and career choices to all students?
5 4 3 2 1
Total Encircled Value (TV) 14 SCORE 1 (S1) = [TV/ (No. of Question * 5)] * 100 * 0.10 10 Criterion 5– Process Control Weight = 0.15 Factors Score 1. Is the process to enroll students to a program based on quantitative and qualitative criteria?
5 4 3 2 1
2. Is the process above clearly documented and periodically evaluated to ensure that it is meeting its objectives?
5 4 3 2 1
3. Is the process to register students in the program and monitoring their progress documented?
5 4 3 2 1
4. Is the process above periodically evaluated to ensure that it is meeting its objectives?
5 4 3 2 1
5. Is the process to recruit and retain faculty in place ad documented?
5 4 3 2 1
6. Are the process for faculty evaluation & promotion consistent with the institution mission?
5 4 3 2 1
7. Are the process in 5 and 6 above periodically evaluated to ensure that they are meeting their objectives?
5 4 3 2 1
8. Do the processes and procedures ensure that teaching and delivery of course material emphasize active learning and that course learning outcomes are met?
5 4 3 2 1
9. Is the process in 8 above periodically evaluated to ensure that it is meeting its objectives?
5 4 3 2 1
10. Is the process to ensure that graduates have completed the requirements of the program based on standards and documented procedures?
5 4 3 2 1
Riphah_DBS_MSc_Mathematics_June 2019 91
11. Is the process in 10 above periodically evaluated to ensure that it is meeting its objectives?
5 4 3 2 1
Total Encircled Value (TV) 51 SCORE 1 (S1) = [TV/ (No. of Question * 5)] * 100 * 0.15 13.90 Criterion 6– Faculty Weight = 0.15 Factors Score 1. Are there enough full time faculty members to provide adequate coverage of the program areas/courses with continuity and stability?
5 4 3 2 1
2. Are the qualifications and interest of faculty members sufficient to teach all courses, plan, modifies and updates courses and curricula?
5 4 3 2 1
3. Do the faculty members possess a level of competence that would be obtained through graduate work in the discipline?
5 4 3 2 1
4. Do the majority of faculty members hold a Ph.D. degree in their discipline?
5 4 3 2 1
5. Do faculty members dedicate sufficient time to research to remain current in their disciplines?
5 4 3 2 1
6. Are there mechanisms in place for faculty development? 5 4 3 2 1
7. Are faculty members motivated and satisfied so as to excel in their profession?
5 4 3 2 1
Total Encircled Value (TV) 26 SCORE 1 (S1) = [TV/ (No. of Question * 5)] * 100 * 0.15 18.57 Criterion 7– Institutional Facilities Weight = 0.15 Factors Score 1. Does the institution have the infrastructure to support new trends such as e-learning?
5 4 3 2 1
2. Does the library contain technical collection relevant to the program and is it adequate staffed?
5 4 3 2 1
3. Are the class rooms and offices adequately equipped and capable of helping faculty carry out their responsibilities?
5 4 3 2 1
Total Encircled Value (TV) 13 SCORE 1 (S1) = [TV/ (No. of Question * 5)] * 100 * 0.15 12.99 Criterion 8– Institutional Support Weight = 0.10 Factors Score 1. Is there sufficient support and finances to attract and retain high quality faulty?
5 4 3 2 1
2. Are there an adequate number of high quality graduate 5 4 3 2 1
Riphah_DBS_MSc_Mathematics_June 2019 92
students, teaching assistants and Ph.D. students?
Total Encircled Value (TV) 8 SCORE 1 (S1) = [TV/ (No. of Question * 5)] * 100 * 0.10 7 Overall Assessment Score = S1+S2+S3+S4+S5+S6+S7+S8 = 3.83+18.5+10+10+13.90+18.57+12.99+7 = 94.79