July 20, 2016 Webcast for the Cybersecurity MS at NYU Tandon Online
Online MS in Electrical/Computer Engineering at NYU
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Transcript of Online MS in Electrical/Computer Engineering at NYU
NYU TANDON ONLINE MS IN COMPUTER AND ELECTRICAL ENGINEERING
Tuesday, September 20, 2:00pm – 3:00pmPresenters
Professor Peter Voltz, Associate ProfessorLuke Modzier, Student Services Counselor
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PRESENTERSProfessor Peter VoltzAssociate Professor
Luke ModzierStudent Services Counselor
NYU BY THE NUMBERS
•NYU is the largest private university in the United States
•Second oldest engineering school in the US
•18 schools, colleges, and divisions in NYC
25countrie
s
108incubator
companies
1831
Founding
NYU BY THE NUMBERS
Abu DhabiNanjingGuangzhou
Tel AvivNYC Metro AreaBerlin
Buenos AiresFlorenceGhana
LondonMadridParis
PragueShanghai
NYU BY THE NUMBERS
4salary potential in the Nation, according to Forbes#
10
innovative IT Schoolsaccording to Computerworld#
•We have students from 93 countries
•Undergraduate Students – 2,344
•Graduate Students – 2,868
RESEARCH CENTERS OF EXCELLENCE
•Applied Dynamics and Optimization Lab •Information Systems and Internet Security (ISIS) Lab •Center for Interdisciplinary Studies in Security and Privacy (CRISSP) •High-speed Networking Lab •NYU Wireless•Center for Advanced Technology in Telecom (CATT) •Control & Telecommunications Research Lab •CITE Game Innovation Lab•Experimental Media Center •NYC Media Lab
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ACCREDITATION• Graduate and Undergraduate
– New York State Education Department– Middle States Association
• Undergraduate Engineering– Accreditation Board for
Engineering and Technology (ABET)
• Undergraduate Computer Science– Computer Science Accreditation
Board (CSAB)
ONLINE GRADUATE PROGRAM
What is NYU Tandon Online?
NYU Tandon Online is the official Online Learning Unit of NYU Tandon School of Engineering. Allowing students to study Technology, Science, Management, and Engineering anytime and anywhere.
Eliminates Barriers
ONLINE GRADUATE PROGRAM
Highly Ranked
StudentServices and Technology#3StudentEngagement & Accreditation#4
Top OnlineGraduate Engineering School
ONLINE GRADUATE PROGRAM
Highly Ranked2012OutstandingCyber Security Online Program Award
2015Ralph E. Gomory
Award for High-Quality Online
Education
2014
2014Best Online
Master’sIn Engineering
Program
Most Technologically
Savvy Online School
HOW IT WORKS
Students attend online courses on
NYUClasses• Assignments• Videos and audio• Quizzes and exams• Discussion boards• Active Learning Modules
Webinar• Virtual classroom
Class specific software
HW IT WORKS
HOW IT WORKS
HOW IT WORKS
HOW IT WORKS
Course-Management System and Webcasting• Secured access to NYU Classes, the school’s virtual course
management system and webcasting
Online Resources• Online Resources• Digital library• Tutor Database• Career Management Portal• Grades, transcript, other
data
• Announcements• Class, enrollment, exam
schedule• Calendar and E-Mail• Faculty directory
COMPUTER/ELECTRICAL ENGINEERING MASTER’S DEGREE
ABOUT OUR COMPUTER AND ELECTRICAL ENGINEERING MASTER’S DEGREES
ELECTRICAL ENGINEERING
• Electrical engineers assume a principal role in implementing industrial infrastructure, from vast complexes to intricate applications on hand-held devices
• The online Master of Science program in Electrical Engineering prepares students to embrace an advanced, highly sought-after professional career
• It also gives them critical knowledge necessary to pursue a PhD in electrical engineering
• Students explore key subdisciplines in control, signal processing and computing to achieve a thorough command of the field.
FIELDS OF ELECTRICAL ENGINEERING
• Very large scale integrated (VLSI) circuits• Networking/Telecommunications• Signal Processing• Image Processing• Medical Devices• Robotics• Power Systems• Electromagnetics• Nanotechnology• Embedded systems• …
COMPUTER ENGINEERING
• Computer engineering makes it possible for us to telecommute from home, check our e-mail on the go, and videoconference with clients from around the world
• But laptops and information networks aren’t the only products computer engineers develop; they reconstruct genomes, design robots, and conceive software to make businesses more efficient.
FIELDS OF COMPUTER ENGINEERING
• Digital Logic• Algorithms and data structures• Computer architecture• Embedded systems• Very large scale integrated (VLSI) circuits• Cyber security• Parallel, and distributed computing• Software Engineering• Networking/communications• Computer games/digital media• Computer vision/graphics• Signal Processing• Informatics• Robotics• Nanotechnology
MAJOR EMPLOYERS OF RECENT GRADS
• Amazon• AT&T• BNY Mellon• Cisco• ConEd• Electric Boat• Honeywell• Intel
• JP Morgan Chase• Marvell• NYC Transit• PSEG• PwC• Qualcomm• . . . .
COMPUTER/ELECTRICAL ENGINEERING MASTER’S DEGREE
MASTER’S PROGRAMS
MS ELECTRICAL ENGINEERING
• 30 credits• Must take >= 2 core courses (6 credits) (chosen from 5)
– EL-GY 6113 Signals and systems– EL-GY 6253 Linear systems– EL-GY 6303 Probability and stochastic processes– EL-GY 6403 Analog integrated circuit design– EL-GY 6713 Electromagnetic theory and applications
• Must take >=24 EL credits• Must have GPA >=3.0 among all courses, and among
the two core courses• Thesis (6 credits)/projects (3 credits) optional but
recommended
MS ELECTRICAL ENGINEERING CONCENTRATION AREAS
• Communications, Networking and Signal Processing
• Computer Engineering and VLSI• Energy systems and power electronics• Electromagnetics and
analog/RF/Biomedical circuits• Systems, control, and robotics
EL 6113 DIGITAL SIGNAL PROCESSING I
• Discrete time systems• Z - transform• Implementation of Digital Systems and Frequency Response• Magnitude Characteristics of LTI systems• Minimum Phase Systems• Fourier Series and Orthogonal Functions• The Sampling Theorem• The Discrete Time Fourier Transform• The Discrete Fourier Transform (DFT)• FIR Filter Design• IIR Filter Design• Least Squares in DSP
EL 6303 PROBABILITY AND STOCHASTIC PROCESSES
• Continuous and discrete random variables and their joint probability distribution and density functions
• Functions of one random variable and their distributions• Independent random variables and conditional distributions; One function of one and
two random variables• Two functions of two random variables and their joint density functions; Jointly
distributed discrete random variables and their functions• Characteristic functions and higher order moments; Covariance, correlation,
orthogonality; Jointly Gaussian random variables• Linear functions of Gaussian random variables and their joint density functions. • Stochastic processes and the concept of Stationarity; Strict sense stationary (SSS)
and wide sense stationary (WSS) processes• Auto correlation function and its properties; Poisson processes and Wiener processes• Stochastic inputs to linear time-invariant (LTI) systems and their input-output
autocorrelations; Input-output power spectrum for linear systems with stochastic inputs;
• Minimum mean square error estimation (MMSE) and orthogonality principle; Auto regressive moving average (ARMA) processes and their power spectra.
EL 6403 FUNDAMENTALS OF ANALOG INTEGRATED CIRCUIT
DESIGN
• Integrated systems. Active and passive devices in integrated systems
• Single-stage amplifiers• Differential amplifiers • Passive and active current mirrors • Frequency response • Feedback systems• Noise• Operational amplifiers• Bandgap references• Analog layout, packaging and fabrication design rules• Analog systems - overview
EL 6713 ELECTROMAGNETIC THEORY AND APPLICATIONS
• Vector Analysis, Divergence Theorem & Stokes’ Theorem• Coulumb’s Law, Gauss’s Law & Curl Free Static Electric Field• Biot-Savart Law, Ampere’s Law & Divergence Free Static Magnetic field • Electric and magnetic Materials; Boundary Conditions• Potentials, Energy, Laplace and Poisson’s Equations • Capacitor, Conductor & Inductor• Time Varying Fields and Maxwell’s Equation• Useful general theorems and concepts• Uniform Plane Wave• Reflection & Refraction• Transmission Line• Waveguides and Cavity• Antenna and Radiation
MS COMPUTER ENGINEERING
• 30 credits (10 courses)• Must take >=2 core courses (6 credits) (Chosen from 4)
– CS-GY 6133 Computer Architecture I– EL-GY 6463 Advanced Hardware Design– EL-GY 6473 Intro to VLSI design– EL-GY 6513 Fundamentals of Solid-State Electronic Devices– EL-GY 6523 Nanoelectronic devices
• >=24 credits from EL/CS courses, >=15 credits from EL courses
• 1 project (3 credits) required • Must have GPA >=3.0 among all courses, and among
the two core courses
CS 6133 COMPUTER APPLICATIONS I
• Digital Computer– Computing Machinery And Intelligence– The First Draft Report on the EDVAC
• Digital Electronics– Managing Complexity– Numbering System– Binary Arithmetic– Logic Gates– Digital Abstraction– Combinatorial Logic
• Boolean Equations• Boolean Algebra• Karnaugh Maps• Timing Analysis
CS 6133 COMPUTER APPLICATIONS I (CONTINUED)
• Digital Electronics (Continued)– Sequential Logic
• Latches and Flip-Flops• Synchronous Logic Design• Finite State Machines• Timing Analysis• Parallelism
– Physical Constraints• CPU
– Instruction Set Architecture– Building Blocks– Hardware Architecture - Single Cycle CPU
• Data and Control Path• Instructions• Performance Analysis
CS 6133 COMPUTER APPLICATIONS I (CONTINUED)
• CPU (Continued)– Hardware Architecture - Pipelined CPU
• Data and Control Path• Hazards• Pipelined CPU Implementation
• Memory Subsystem– Memory Basics– Memory Hierarchy
• Cache• Virtual Memory• Performance Analysis and Measurements
CS 6473 INTRO TO VLSI DESIGN
• MOSFET digital logic and circuit design– MOSFET characteristics– CMOS inverter– Complex logic gates– Timing and power analysis
• Advanced digital logic– Dynamic logic, domino logic, pass transistor logic etc.– Timing Analysis
• Arithmetic blocks– Adders– Multipliers
• Interconnects• Memories
– SRAM– DRAM– Peripherals and array architecture
CS 6473 INTRO TO VLSI DESIGN (CONTINUED)
• Physical Design• VLSI system design
– General system components and system design flow
– VLSI clocking– Power supply– Input/Output
• Current/Future challenges in VLSI Design
CS 6463 ADVANCE HARDWARE DESIGN
• This course shows how a hardware-description language (for example, VHDL) can be used for computer hardware modeling, logic synthesis, register-level synthesis and simulation. The resulting design with hundreds or thousands of gates is then ready to be downloaded to form FPGA chips or silicon cells. Programs used: QuickVHDL, modeling and simulation tools from Mentor Graphics or similar large-scale programs. A design project is required and students make a written and oral presentation.
TUITION
Graduate tuition, per credit $ 1,646Registration and service fee, per credit $ 85
Estimated cost of one course, 3 credits $ 5,193
Estimated cost of a Master’s Degree $ 52,000
Estimated cost of a Certificate Degree $ 19,000
SOCIETY CO-SPONSORS
Tuition ScholarshipsSociety Member Benefits
engineering.nyu.edu/enterprise-learning/society-co-sponsors
APPLICATION ELIGIBILITY
• Bachelor’s degree from accredited school• Greater than 3.0 GPA in undergraduate
school• Preference for accredited ABET, ACS and
CSAB schools• Some may be required to take prerequisite
courses without graduate credit
APPLICATION REQUIREMENTS
• Application Form• $75 Fee• Resume• Personal
Statement
• Transcripts• Two Letters of Recommendation• GRE (NYU School Code 2668)• English Language Proficiency
(TOEFL/IELTS/CAE/Pearson PTE)
Required to Submit Your Application
Required to CompleteYour Application
APPLICATION REQUIREMENTS
• Application Form• $75 Fee
• Resume• Personal Statement
Required to Submit Your Application
APPLICATION REQUIREMENTS
• Transcripts
• GRE Scores (NYU School Code 2668)
• Two Letters of
Recommendation
• English Language Proficiency (TOEFL/IELTS/CAE/Pearson PTE)
Required to Complete Your Application
APPLICATION DEADLINES
Spring 2017
Summer 2017 Fall 2017
Full-Time Applicants(9+ Credits per semester) Passed December
21, 2016February 15,
2017
Part-Time Applicants - Early Admission(Fewer than 9 credits per semester)
October 1, 2016
February 1, 2017
March 15, 2017
Part-Time Applicants(Fewer than 9 credits per semester)
November 1, 2016
March 14, 2017
May 1, 2017
All documents due December 15, 2016
April 18, 2017
June 15, 2017
NYU TANDON ONLINEFUTURE WEBINARS
Computer/Electrical EngineeringMon, Nov 14 at 2:00 PM
General WebinarThu, Sep 29 at 2:00 PM
NYU TANDON ONLINE CONTACT INFORMATION
Luke ModzierStudent Services [email protected] (646) 997-3071
Front Deskonline.engineering.nyu.edu [email protected] (646) 997-3623
nyu.tandon.online
@NYUTandonOnline#NYUOnline /NYUTandonOnline
Peter [email protected]