Electrical and computer engineering is offered as a
concentration within the professional science master's program described under
Business and Science 137.
The electrical and computer engineering concentration combines business courses with courses from electrical and computer engineering
to give engineers a more industrial perspective. The science courses cover a
wide range of areas including computer hardware, software, communication
systems, power, and solid state electronics. Students can choose from a number
of different areas and these are listed below.
There are five subconcentrations in
the master of business and science (M.B.S.) concentration for electrical and computer engineering:
1. Communications Engineering
2. Computer Engineering
3. Digital Signal Processing
4. Solid State Electronics
5. Systems and Control
Students may specialize in one of the above areas; areas can also be combined.
Core courses and electives are listed for those specializations. If a student
has taken some of these as an undergraduate or would like to substitute others,
please speak to an adviser. Elective courses are also available from the graduate
programs in computer science, physics, and in other engineering disciplines.
Core courses and
electives are listed below.
Communications Engineering
Students must select five out of the nine required courses and three out of the 16
elective courses.
Required Core Courses (Select five courses)
16:332:541 Stochastic Signals and Systems (3)
16:332:542 Information Theory and Coding (3)
16:332:543 Communication Networks I (3)
16:332:544 Communication Networks II (3)
16:332:545 Digital Communication Systems (3)
16:332:546 Wireless Communications Technologies (3)
16:332:548 Error Control Coding (3)
16:332:549 Detection and Estimation Theory (3)
16:332:559 Advanced Topics in Communications Engineering (3)
Elective Courses (Select three courses)
16:332:501 System Analysis (3)
16:332:503 Programming Finance (3)
16:332:505 Control Theory I (3)
16:332:506 Control Theory II (3)
16:332:521 Digital Signals and Filters (3)
16:332:525 Optimum Signal Processing (3)
16:640:501 Theory of Functions of a Real Variable (3)
16:640:503 Theory of Functions of a Complex Variable (3)
16:640:515 Ordinary Differential Equations (3)
16:642:550 Linear Algebra and Applications (3)
16:642:573 Topics in Number Theory I (3)
16:642:574 Topics in Number Theory II (3)
16:642:591 Topics in Probability and Ergodic Theory (3)
16:642:621 Financial Mathematics I (3)
16:642:622 Financial Mathematics II (3)
16:960:580 Basic Probability and Statistics (3)
16:960:582 Introduction to Methods and Theory of Probability (3)
Computer Engineering
Required Core Courses (two courses)
16:332:563 Computer Architecture I (3)
16:332:573 Data Structures and Algorithms (3)
Elective Courses (Select five courses)
16:332:560 Computer Graphics (3)
16:322:561 Machine Vision (3)
16:332:562 Visualization and Advanced Computer Graphics (3)
16:332:564 Computer Architecture II (3)
16:332:566 Parallel and Distributed Computing (3)
16:332:567 Software Engineering I (3)
16:332:568 Software Engineering Web Applications (3)
16:332:569 Database System Engineering (3)
16:332:570 Robust Computer Vision (3)
16:332:571 Virtual Reality Technology (3)
16:332:574 Computer Aided Digital VLSI Design (3)
16:332:576 Testing of ULSI Circuits (3)
16:332:577 Analog and Low-Power Digital VLSI Design (3)
16:332:579 Advanced Topics In Computer Engineering (3)
16:332:542 Information Theory and Coding (3)
16:332:544 Communication Networks II (3)
16:198:515 Programming Languages and Compilers (3)
16:198:519 Operating Systems (3)
Other courses from computer science and from the School of Communication and Information are also acceptable. Please speak
to your adviser.
Mathematical Electives (Select one course)
16:332:501 System Analysis (3)
16:198:510 Numerical Analysis (3)
16:198:521 Linear Programming (3)
16:198:522 Network and Combinatorial Optimization Algorithms (3)
16:198:524 Nonlinear Programming Algorithms (3)
16:198:528 Parallel Numerical Computing (3)
16:642:550 Linear Algebra and Applications (3)
16:642:573 Topics in Number Theory I (3)
16:642:587 Selected Topics in Discrete Mathematics (3)
16:642:621 Financial Mathematics I (3)
16:642:622 Financial Mathematics II (3)
Digital Signal Processing
Required Core Courses (Select five courses)
16:332:521 Digital Signals and Filters (3)
16:332:525 Optimum Signal Processing (3)
16:332:527 Digital Speech Processing (3)
16:332:529 Image Coding and Processing (3)
16:332:533 Computation Methods for Signal Recovery (3)
16:332:535 Multidimensional Signal Processing Algorithms (3)
16:332:541 Stochastic Signals and Systems (3)
16:332:561 Machine Vision (3)
16:332:570 Robust Computer Vision (3)
Elective Courses (Select three courses)
16:332:501 System Analysis (3)
16:332:505 Control Theory I (3)
16:332:506 Control Theory II (3)
16:332:565 Neurocomputer Systems Design (3)
16:640:501 Theory of Functions of a Real Variable (3)
16:640:503 Theory of Functions of a Complex Variable (3)
16:642:550 Linear Algebra and Applications (3)
16:642:573 Topics in Number Theory I (3)
16:642:574 Topics in Number Theory II (3)
16:642:621 Financial Mathematics I (3)
16:642:622 Financial Mathematics II (3)
Solid State Electronics
Required Core Courses (five courses)
16:332:580 Electric Waves and Radiation (3)
16:332:581 Introduction to Solid State Electronics (3)
16:332:583 Semiconductor Devices I (3)
16:332:584 Semiconductor Devices II (3)
16:332:587 Transistor Circuit Design (3)
Elective Courses (Select three courses)
16:332:591 Optoelectronics I (3)
16:332:592 Optoelectronics II (3)
16:332:594 Solar Cells (3)
16:150:522 Electron Microscopy (3)
16:642:516 Applied Partial Differential Equations (3)
16:642:527 Methods of Applied Mathematics I (3)
16:642:528 Methods of Applied Mathematics II (3)
16:642:575 Numerical Solutions of Partial Differential Equations (3)
16:635:501 Theory of Solid State Materials (3)
16:750:501 Quantum Mechanics I (3)
16:750:601 Solid State Physics I (3)
16:750:602 Solid State Physics II (3)
Required Core Courses (three courses)
16:332:501 System Analysis (3)
16:332:505 Control Theory I (3)
16:332:506 Control Theory II (3)
For a description of the
core courses, please visit http://mbs.rutgers.edu.
Concentration
Coordinators:
Professor Zoran Gajic
gajic@ece.rutgers.edu
Professor Deborah Silver
silver@jove.rutgers.edu
Programs, Faculty, and Courses 
