NYU TANDON ONLINE MS IN COMPUTER AND ELECTRICAL ENGINEERING

Tuesday, July 26, 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

Webinar• Virtual classroom• Live Streamed Courses

Class specific software

HOW 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 or GMAT Scores (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 or GMAT Scores (NYU School Code 2668)

• Two Letters of

Recommendation

• English Language Proficiency (TOEFL/IELTS/CAE/Pearson PTE)

Required to Complete Your Application

APPLICATION DEADLINES

  Fall 2016 Spring 2017*

Full-Time Applicants(9+ Credits per semester) Passed September 1,

2016Part-Time Applicants - Early Admission(Fewer than 9 credits per semester)

Passed October 1, 2016

Part-Time Applicants(Fewer than 9 credits per semester)

Passed November 1, 2016

All documents due Passed December 15, 2016

NYU TANDON ONLINEFUTURE WEBINARS

• Industrial Engineering• Thu, Jul 28 at 2:00 PM

• Management of Technology• Tue, Sep 13 at 2:00 PM

• Bioinformatics• Thu, Sep 15 at 2:00 PM

• Cybersecurity• Tue, Sep 27 at 11:00

AM

• Computer/Electrical Engineering• Tue, Sep 20 at 2:00 PM

• General Webinar• Fri, Aug 12 at 11:00 AM

NYU TANDON ONLINE CONTACT INFORMATION

Luke ModzierStudent Services Counselorluke.modzier@nyu.edu (646) 997-3071

Front Deskonline.engineering.nyu.edu tandon.online@nyu.edu (646) 997-3623

nyu.tandon.online

@NYUTandonOnline#NYUOnline /NYUTandonOnline

Peter Voltzvoltz@nyu.edu