Electrical and Computer Engineering – Ming Hsieh Department of Electrical and Computer Engineering

Return to: USC Viterbi School of Engineering  

Electrical and Computer Engineering
Hughes Aircraft Electrical
Engineering Center 100
(213) 740-4446 or (213) 740-7874
FAX: (213) 740-4449 or FAX: (213) 740-8677
Email: studentinfo@ee.usc.edu or eepdept@usc.edu

Co-Chairs: Richard Leahy, PhD*; Anthony F. Levi, PhD

Associate Chairs: Keith M. Chugg, PhD; Peter Beerel, PhD

Associate Chair (Curriculum and Student Services): Edward W. Maby, PhD

Faculty

Presidential Chair: Andrew J. Viterbi, PhD

A.V. “Bal” Balakrishnan Chair: Petros Ioannou, PhD

Kenneth C. Dahlberg Early Career Chair: Rahul Jain, PhD

Solomon Golomb - Andrew and Erna Viterbi Chair: Andreas Molisch, PhD

Lloyd F. Hunt Chair in Electrical Power Engineering: Martin Gundersen, PhD

William M. Keck Chair in Engineering: P. Daniel Dapkus, PhD

Robert G. and Mary G. Lane Early Career Chair: Han Wang, PhD

Gordon S. Marshall Chair in Engineering: Urbashi Mitra, PhD

Niki and Max Nikias Chair in Engineering: Shrikanth (Shri) Narayanan, PhD

Fred W. O’Green Chair in Engineering: Leonard M. Silverman, PhD

Robert C. Packard President’s Chair and Malcolm R. Currie Chair in Technology and the Humanities: C. L. Max Nikias, PhD

Colleen and Roberto Padovani Early Career Chair in Electrical and Computer Engineering: Mike Chen, PhD

Charles Lee Powell Chair in Engineering: Viktor Prasanna, PhD

Charles Lee Powell Chair in Engineering and Computer Science: Massoud Pedram, PhD

Steven and Kathryn Sample Chair in Engineering: Alan E. Willner, PhD

Leonard Silverman Chair: Alexander A. Sawchuk, PhD

Andrew and Erna Viterbi Early Career Chair: Maryam M. Shanechi, PhD

Dean’s Professor in Electrical and Computer Engineering: Chung-Chieh Kuo, PhD

Dean’s Professor of Electrical and Computer Engineering: Richard Leahy, PhD*

Dean’s Professor in Electrical and Computer Engineering: Urbashi Mitra, PhD

Dean’s Professor in Electrical and Computer Engineering: Alice C. Parker, PhD*

Distinguished Professor: Chung-Chieh Kuo, PhD

Fred H. Cole Professorship in Engineering: Gianluca Lazzi, PhD

William M. Hogue Professorship in Electrical and Computer Engineering: Mahta Moghaddam, PhD

George Pfleger Chair in Electrical and Computer Engineering: Timothy Pinkston, PhD

Provost Professor of Opthamology and Electrical and Computer Engineering: Gianluca Lazzi, PhD

Stephen and Etta Varra Professor: Massoud Pedram, PhD

Viterbi Professorship in Engineering: Daniel Lidar, PhD

Ming Hsieh Faculty Fellow in Electrical and Computer Engineering: Hossein Hashemi, PhD

Ming Hsieh Faculty Fellow in Electrical and Computer Engineering: Bhaskar Krishnamachari, PhD

Professors: Murali Annavaram, PhD (Computer Science), Salman Avestimehr, PhD, Peter Beerel, PhD, Todd Brun, PhD (Computer Science, Physics and Astronomy); Keith M. Chugg, PhD; Stephen B. Cronin, PhD (Physics); P. Daniel Dapkus, PhD (Materials Science); Michel Dubois, PhD; Martin Gundersen, PhD (Materials Science, Physics); Sandeep Gupta, PhD; Hossein Hashemi, PhD; Petros Ioannou, PhD (Aerospace and Mechanical Engineering, Industrial and Systems Engineering); B. Keith Jenkins, PhD; Edmond Jonckheere, PhD (Mathematics); Mihailo Jovanovic, PhD; Eun Sok Kim, PhD; Bart Kosko, PhD (Law); Bhaskar Krishnamachari, PhD (Computer Science); Chung-Chieh Kuo, PhD (Computer Science); Gianluca Lazzi, PhD (Ophthamology); Richard Leahy, PhD* (Biomedical Engineering, Radiology); Anthony F. J. Levi, PhD (Physics); Daniel Lidar, PhD (Chemistry, Physics and Astronomy); William C. Lindsey, PhD; Urbashi Mitra, PhD (Computer Science); Mahta Moghaddam, PhD; Andreas Molisch, PhD; Shrikanth (Shri) Narayanan, PhD (Computer Science, Linguistics, Pediatrics, Psychology); Krishna Nayak, PhD (Biomedical Engineering, Pediatrics, Radiology); Michael Neely, PhD; C. L. Max Nikias, PhD; Antonio Ortega, PhD; Alice C. Parker, PhD*; Massoud Pedram, PhD; Timothy Pinkston, PhD; Michelle Povinelli, PhD; Viktor Prasanna, PhD (Computer Science); Konstantinos Psounis, PhD (Computer Science); C. Raghavendra, PhD (Computer Science); Leonard Silverman, PhD; John B. Slaughter, PhD (Education); Armand R. Tanguay Jr., PhD (Biomedical Engineering, Materials Science, Physics); Andrew J. Viterbi, PhD; Alan E. Willner, PhD*; Chongwu Zhou, PhD

Associate Professors: Paul Bogdan, PhD, Michael Shuo-Wei Chen, PhD; Justin Haldar, PhD (Biomedical Engineering); Rahul Jain, PhD (Computer Science, Industrial and Systems Engineering); Mercedeh Khajavikhan, PhD; Christos Kyriakakis, PhD; Aluizio Prata Jr., PhD*; Benjamin W. Reichardt, PhD (Computer Science); Han Wang, PhD; Wei Wu, PhD

Assistant Professors: Dina El-Damak, PhD; Chia Wei Wade Hsu, PhD; Rehan Kapadia, PhD; Manuel Monge, PhD; Ashutosh Nayyar, PhD;  Pierluigi Nuzzo, PhD; Feifei Qian, PhD; Xuehai Qian, PhD (Computer Science); Maryam M. Shanechi, PhD; Constantine Sideris, PhD; Mahdi Soltanolkotabi, PhD (Computer Science)

Professors of Electrical and Computer Engineering Practice: Mohammed Beshir, PhD; Edward W. Maby, PhD; Gandhi Puvvada, MS*, Mark Redekopp, MS (Computer Science)*

Associate Professors of Electrical and Computer Engineering Practice:  Shahin Nazarian, PhD, Allan Weber, PhD

Senior Lecturers: Douglas Burke, PhD, Brandon Franzke, PhD

Lecturer: Ali Zahid, PhD

Research Associate Professors: Wael AbdAlmageed, PhD, Stephen Crago, PhD, Anand Joshi, PhD

Research Assistant Professors: Federico Spedalieri, PhD; John Stang, PhD; Alireza Tabatabaeenejad, PhD; Asterios Toutios, PhD

Adjunct Professors: Murali Kota, PhD; P. Vijay Kumar, PhD; George Papavassilopoulos, PhD

Adjunct Research Professors: Giuseppe Caire, PhD; Willie Ng, PhD; Dmitry Starodubov, PhD

Adjunct Research Associate Professors: Serge Dubovitsky, PhD; P. Thomas Vernier, PhD

Adjunct Research Assistant Professors: Bindu Madhavan, PhD; Panayiotis Georgiou, PhD

Emeritus Professors: Robert W. Hellwarth, PhD; Hans H. Kuehl, PhD*; Michael J. Safonov, PhD; Alexander A. Sawchuk, PhD*; John Silvester, PhD; William H. Steier, PhD; Lloyd Welch, PhD (Mathematics)

Emeritus Instructor: Sidney A. Wielin, BS

Research Professor Emeritus of Electrical and Computer Engineering: Sanjit Mitra, PhD

Joint Faculty

Joint Professors: Andrea M. Armani, PhD (Chemical Engineering and Materials Science); Stanley P. Azen, PhD (Preventive Medicine and Biomedical Engineering); Jack Feinberg, PhD (Physics); Leana Golubchik, PhD (Computer Science); Ramesh Govindan, PhD (Computer Science); Ellis Horowitz, PhD (Computer Science); Jia Grace Lu, PhD (Physics); Anupam Madhukar, PhD (Chemical Engineering and Materials Science); Gerard Medioni, PhD (Computer Science); Ellis Meng, PhD (Biomedical Engineering); Ulrich Neumann, PhD (Computer Science); Ramakant Nevatia, PhD (Computer Science); Si-Zhao Qin, PhD (Chemical Engineering); Suvrajeet Sen, PhD (Industrial and Systems Engineering); Cyrus Shahabi, PhD (Computer Science); Gaurav Sukhatme, PhD (Computer Science); Paul Thompson, PhD (Ophthalmology); Arthur Toga, PhD (Ophthamology); William G. Wagner, PhD (Physics); Curt F. Wittig, PhD (Chemistry, Physics); Stanley M. Yamashiro, PhD (Biomedical Engineering)

Joint Associate Professors: Behnam Jafarpour, PhD (Chemical Engineering and Materials Science); Yan Liu, PhD (Computer Science); Elahe Nezami, PhD (Preventative Medicine); Ketan Savla, PhD (Civil, Environmental Engineering); Yonggang Shi, PhD (Neurology);

Joint Assistant Professors: Jayakanth Ravichandran, PhD (Chemical Engineering and Materials Science); Meisam Razaviyayn, PhD (Industrial and Systems Engineering, Computer Science);  Jongseung Yoon, PhD (Chemical Engineering, Materials Science)

Joint Research Professor: Fred Aminzadeh, PhD (Chemical Engineering, Materials Science)

Joint Emeritus Professors: Michael Arbib, PhD (Computer Science, Neurobiology, Biomedical Engineering); George A. Bekey, PhD (Computer Science, Biomedical Engineering); Aristides Requicha, PhD (Computer Science)

*Recipient of university-wide or school teaching award.

Electrical Engineering Honor Society: Eta Kappa Nu

Degree Requirements

Undergraduate Program Educational Objectives

The electrical and computer engineering program objectives are designed to promote technical competence, professional development and citizenship in the global community. Graduates of the undergraduate program in electrical and computer engineering are expected to attain the following objectives within a few years of graduation:

Technical Competence

Graduates will apply their technical skills in mathematics, science and engineering to the solution of complex problems encountered in modern electrical and computer engineering practice.

Graduates will model, analyze, design and experimentally evaluate components or systems that achieve desired technical specifications subject to the reality of economic constraints.

Professional Development

Graduates will compete effectively in a world of rapid technological change and assume leadership roles within industrial, entrepreneurial, academic or governmental environments in the broad context of electrical and computer engineering.

Some graduates who choose to redirect their careers will be employed in diverse fields such as healthcare, business, law, computer science, multimedia and music through graduate-level studies and the process of lifelong learning.

Citizenship in the Global Community

Graduates will have established the foundations for critical thinking that are needed to broaden or redirect their careers in diverse disciplines such as business, health care and the arts through graduate-level studies and/or the process of life-long leaning.

Graduates will adhere to highly ethical practices, and they will make exemplary engineering decisions that balance economic, environmental and societal factors for the betterment of the global community.

Undergraduate Program Criteria

The program leading to a Bachelor of Science in Electrical and Computer Engineering provides both breadth and depth across the range of engineering topics implied by the title. The curriculum includes probability and statistics, including appropriate applications; mathematics through differential and integral calculus, and advanced mathematics, such as differential equations, linear algebra, complex variables and discrete mathematics; sciences (defined as biological, chemical or physical science); and engineering topics (including computing science) necessary to analyze and design complex electrical and electronic devices, software and systems containing hardware and software components.

Bachelor of Science in Computer Engineering and Computer Science

See the listing under Computer Science .

Master of Science in Computer Engineering

See the listing under Computer Engineering Program .

Doctor of Philosophy in Computer Engineering

See the listing under Computer Engineering Program .

Minor in Music Recording

A minor in music recording is offered through the USC Thornton School of Music to provide undergraduate students with the background necessary to enter the field of recording engineering and to familiarize them with the design needs of modern recording equipment. The minor is recommended to electrical and computer engineering majors with extensive musical training who would like to combine their technical and musical abilities while learning the engineering applications of physical and mathematical principles to the art of music recording. See the listing under the USC Thornton School of Music .

Master of Science in Electrical and Engineering (Electric Power)

See listing in the Sustainable Infrastructure Systems Program  section.

Master of Science in Systems Architecting and Engineering

See the listing under Systems Architecting and Engineering Program .

Financial Engineering

Electrical and Computer Engineering Building 100
(213) 740-4447
FAX: (213) 740-4449
Email: studentinfo@ee.usc.edu
Faculty Contact: Professor Petros Ioannou, ioannou@usc.edu

Second Master’s Degree

A graduate student who already holds a master’s degree from USC may apply up to 4 units toward a second master’s degree with the permission of the chair of the major department. All credit, including the transferred units, must be earned within seven calendar years.

For students who earned their first master’s degree at another institution, no course work may be repeated from the first program of study and no unit credit from the first program of study may be counted toward the second master’s degree.

Engineer in Electrical Engineering

Requirements for the Engineer in Electrical Engineering are the same as those listed under Engineer degree, except that both areas of concentration must be in electrical and computer engineering.

Programs

Bachelor’s Degree

• •  Electrical and Computer Engineering (BS)

Minor

• •  Internet of Things Engineering Minor

Master’s Degree

• •  Electrical and Computer Engineering (Machine Learning and Data Science) (MS)
• •  Electrical Engineering (Computer Architecture) (MS)
• •  Electrical Engineering (Computer Networks) (MS)
• •  Electrical Engineering (MS)
• •  Electrical Engineering (VLSI Design) (MS)
• •  Electrical Engineering (Wireless Health Technology) (MS)
• •  Electrical Engineering (Wireless Networks) (MS)
• •  Electrical Engineering/Engineering Management (MS)
• •  Financial Engineering (MS)
• •  Quantum Information Science (MS)

Doctoral Degree

• •  Electrical Engineering (PhD)

Courses

Electrical Engineering

• •  EE 541 Radio Frequency Filter Design
• •  EE 542 Internet and Cloud Computing
• •  EE 543aL Digital Control Systems
• •  EE 543bL Digital Control Systems
• •  EE 544 Radio Frequency Systems and Hardware
• •  EE 545 Robotics
• •  EE 546 Mathematics of High-Dimensional Data
• •  EE 548 Analytical Methods in Robotics
• •  EE 549 Nanotechnology for Materials, Electronics, and Circuits
• •  EE 550 Data Networks: Design and Analysis
• •  EE 551 Principles of Radar
• •  EE 552 Asynchronous VLSI Design
• •  EE 553 Computational Solution of Optimization Problems
• •  EE 554 Real Time Computer Systems
• •  EE 555 Broadband Network Architectures
• •  EE 556 Stochastic Systems and Reinforcement Learning
• •  EE 557 Computer Systems Architecture
• •  EE 558 Optical Fiber Communication Systems
• •  EE 559 Mathematical Pattern Recognition
• •  EE 560L Digital System Design
• •  EE 561 Foundations of Artificial Intelligence
• •  EE 562 Random Processes in Engineering
• •  EE 563 Estimation Theory
• •  EE 564 Digital Communication and Coding Systems
• •  EE 565 Information Theory and Its Application to (Big) Data Sciences
• •  EE 566 Optical Information Processing
• •  EE 567 Communication Systems
• •  EE 569 Introduction to Digital Image Processing
• •  EE 570a Advanced Electromagnetic Theory
• •  EE 570b Advanced Electromagnetic Theory
• •  EE 571a Microwave Networks
• •  EE 571b Microwave Networks
• •  EE 572a Plasma Dynamics
• •  EE 572b Plasma Dynamics
• •  EE 573a Antenna Analysis
• •  EE 573b Antenna Analysis
• •  EE 574 Computer Vision
• •  EE 575 Computational Differential Geometry for Engineers
• •  EE 576 Integrated Memory Devices and Technologies
• •  EE 577a VLSI System Design
• •  EE 577b VLSI System Design
• •  EE 578 Reflector Antennas
• •  EE 580 System Verification
• •  EE 581 Mathematical Foundations for System Design: Modeling, Analysis, and Synthesis
• •  EE 582 CMOS:Nano Neuromorphic Circuits
• •  EE 583 Statistical Signal Processing
• •  EE 584 Chaotic Systems
• •  EE 585 Linear System Theory
• •  EE 586L Advanced DSP Design Laboratory
• •  EE 587 Nonlinear and Adaptive Control
• •  EE 588 Optimization for the Information and Data Sciences
• •  EE 589 Quantum Information Theory
• •  EE 590 Directed Research
• •  EE 591 Magnetic Resonance Imaging and Reconstruction
• •  EE 592 Computational Methods for Inverse Problems
• •  EE 593 Robust Multivariable Control
• •  EE 594a Master’s Thesis
• •  EE 594b Master’s Thesis
• •  EE 594z Master’s Thesis
• •  EE 595 Software Design and Optimization
• •  EE 596 Wavelets and Graphs for Signal Processing and Machine Learning
• •  EE 597 Wireless Networks
• •  EE 598 Electrical Engineering Research Seminar
• •  EE 599 Special Topics
• •  EE 601 Advanced Semiconductor Device Physics
• •  EE 603 System Identification
• •  EE 606 Nonequilibrium Processes in Semiconductors
• •  EE 607 Microelectromechanical Systems
• •  EE 608L Microelectromechanical Systems Laboratory
• •  EE 612 Science and Practice of Nanotechnology
• •  EE 619 Advanced Topics in Automatic Speech Recognition
• •  EE 632 Integrated Communication Systems
• •  EE 635 Advanced Wireless Communications
• •  EE 637L Current and Future Computing Devices and Technology
• •  EE 638 Applications of Machine Learning for Medical Data
• •  EE 642 Advanced Geometrical Optics
• •  EE 645 Uncertainty Modeling and Stochastic Optimization
• •  EE 648 Network Economics and Games
• •  EE 649 Stochastic Network Optimization
• •  EE 650 Advanced Topics in Computer Networks
• •  EE 652 Low-Power Wireless Networks
• •  EE 653 Advanced Topics in Microarchitecture
• •  EE 657 Parallel and Distributed Computing
• •  EE 658 Diagnosis and Design of Reliable Digital Systems
• •  EE 659 Interconnection Networks
• •  EE 660 Machine Learning from Signals: Foundations and Methods
• •  EE 664 Advanced Topics in Communication Theory
• •  EE 665 Advanced Topics in Information Theory
• •  EE 669 Multimedia Data Compression
• •  EE 674a Advanced Topics in Computer Vision
• •  EE 674b Advanced Topics in Computer Vision
• •  EE 675 Data Analysis and Control Techniques for Neurotechnology Design
• •  EE 676 Advanced Computer Vision
• •  EE 677 VLSI Architectures and Algorithms
• •  EE 680 Computer-Aided Design of Digital Systems I
• •  EE 681 Computer-Aided Design of Digital Systems II
• •  EE 682 Law and Intellectual Property for Engineers
• •  EE 690 Directed Research
• •  EE 790 Research
• •  EE 794a Doctoral Dissertation