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Graduate Program - Academics
Academics Overview
The Department of Electrical and Computer Engineering (ECE) at the University of California, Riverside (UCR) offers the following degree programs:
- Master of Science in Electrical Engineering
- Doctor of Philosophy in Electrical Engineering
- Combined Bachelor of Science and Master of Science in Electrical Engineering
- Those pursuing the combined Bachelor of Science and Master of Science program can obtain both degrees within 5 years.
ECE also offers a Master of Science degree in Computer Engineering and the combined Bachelor of Science and Master of Science in Computer Engineering in partnership with the Computer Science and Engineering Department.
Our courses introduce the students to the latest research and applications in these areas. Our doctoral students are involved in cutting edge research and commonly go on to positions in academia and in top research labs in industry. Our master's programs enable students to specialize in a number of areas in high demand in industry, preparing students with a mixture of solid theoretical foundations and hands-on projects and research experiences.
Calendar System: Quarter system (three quarters comprise an academic year)
Expected start dates by quarter:
- Fall - Late September
- Winter - Early January
- Spring - Late March
For more details regarding UCR's academic calendar, please visit: https://registrar.ucr.edu/calendar
All graduate students are expected to carry a full academic course load unless this is pre-approved by the department (approved on their BS+MS course plan, on an approved leave, or on Filing Fee Status). Graduate students are considered to be full-time if they are carrying at least 12 graduate units. Details are found in the UCR General Catalog and the Graduate Division policies here.
International students: Federal regulations governing student visa status require full-time attendance for most international students. Exceptions can only be made by petition through the International Students Office.
Graduate courses are numbered 200+ and undergraduate courses are numbered 199 and lower. Informal Courses (290, 297, 299).
Please see the latest course catalog for a list of course descriptions.
Course Offerings
Please see the latest course catalog for course descriptions.
Fall 2020
This is a tentative course listing that is subject to change.
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Undergraduate
Course Number Course Description Instructor EE 001A Engineering Circuit Analysis I TBD EE 010 Introduction to Electrical Engineering Chomko EE 020 Linear Methods For Engineering Analysis and Design Using MATLAB TBD EE 100B Electronic Circuits M. Liu EE 110A Signals and Systems S. Ren EE 115 Introduction to Communication Systems Hua EE 116 Engineering Electromagnetics Balandin EE/CS 120A Logic Design TBD EE 128 Sensing and Actuation for Embedded Systems Chomko EE 133 Solid-State Electronics Chen EE 138 Electrical Properties of Materials Haberer EE 139 Magnetic Materials Ozkan EE 141 Digital Signal Processing Tuncel EE 144 Introduction to Robotics Karydis EE 175A Senior Design Project Chomko/Karydis/Kim/Roy-Chowdhury ENGR/HIST 108 Technology in Premodern Civilizations Heidarzadeh ENGR 160 Introduction to Engineering Optimization Techniques Mohsenian-Rad -
Graduate
Course Number Course Description Instructor EE 201/MSE 207 Applied Quantum Mechanics Cybart EE 215 Stochastic Processes Guler EE 217 GPU Architecture and Parallel Programming Wong EE 230 Mathematical Methods for Electrical Engineers Cheng EE/CS 248 Optimization for Machine Learning Oymak EE 252 Data Center Architecture S. Ren
Winter 2021
This is a tentative course listing that is subject to change.
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Undergraduate
Course Number Course Description Instructor EE 001A Engineering Circuit Analysis I Ozkan EE 001B Engineering Circuit Analysis II TBD EE 005 Circuits and Electronics Chomko EE 100A Electronic Circuits M. Liu EE 105 Modeling and Simulation of Dynamic Systems Farrell EE 110A Signals and Systems Chomko EE 110B Signals and Systems Hua EE 111 Digital and Analog Signals and Systems S. Ren EE 114 Probability, Random Variables, and Random Processes in Electrical Engineering Oymak EE 117 Electromagnetics II Khitun EE/CS 120A Logic Design TBD EE 136 Semiconductor Device Processing J. Liu EE 137 Introduction to Semiconductor Optoelectronic Devices Ozkan EE 146 Computer Vision Bhanu EE 151 Introduction to Digital Control W. Ren EE 152 Image Processing Asif EE/CS 168 Introduction to Very Large Scale Integration (VLSI) Design Tan EE 175B Senior Design Project Chomko/Karydis/Kim/Roy-Chowdhury ENGR/HIST 108 Technology in Premodern Civilizations Heidarzadeh ENGR/HIST 109 Technology in Modern Europe and America, 1700-Present Heidarzadeh ENGR/PBPL 171 Globalization Barth -
Graduate
Course Number Course Description Instructor EE 202/MSE 217 Fundamentals of Semiconductors and Nanostructures Chen EE 206/MSE 227A Nanoscale Characterization Techniques J. Liu EE 213 Computer-Aided Electronic Circuit Simulation Tan EE 224 Digital Communication Theory and Systems Hua EE 231 Convex Optimization in Engineering Applications Mohsenian-Rad EE 235 Linear System Theory W. Ren EE 236 State and Parameter Estimation Theory Farrell EE 250 Information Theory Guler EE 255 Real-Time Embedded Systems Kim EE 260 Advanced Spintronics and Nanomagnetic Devices Cheng EE 260 Introduction to Reinforcement Learning with Applications in Smart Cities Yu
Spring 2021
This is a tentative course listing that is subject to change.
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Undergraduate
Course Number Course Description Instructor EE 001A Engineering Circuit Analysis I J. Liu EE 001B Engineering Circuit Analysis II TBD EE 003 Electronics, Smartphones, and Mobile Internet Khitun EE 020 Linear Methods for Engineering Analysis and Design Using MATLAB Cheng EE 100A Electronic Circuits M. Liu EE 110B Signals and Systems Chomko EE 114 Probability, Random Variables, and Random Processes in Electrical Engineering TBD EE 128 Sensing and Actuation for Embedded Systems Chomko EE 132 Automatic Control W. Ren EE 133 Solid-State Electronics Chen EE 141 Digital Signal Processing S. Ren EE 142/CS 171 Introduction to Machine Learning and Data Mining Asif EE/CS 147 Graphics Processing Unit Computing and Programming TBD EE 153 Electric Drives Chomko EE 155 Power System Analysis Yu EE 162 Introduction to Nanoelectronics Khitun ENGR/HIST 108 Technology in Premodern Civilizations Heidarzadeh ENGR/HIST 109 Technology in Modern Europe and America, 1700-Present Heidarzadeh ENGR 181W Technical Communications and Documentation Heidarzadeh -
Graduate
Course Number Course Description Instructor EE 203/MSE 237C Solid-State Devices Haberer EE 204 Advanced Electromagnetics M. Liu EE 205 Optoelectronics and Photonic Devices J. Liu EE 218 Power System Steady State and Market Analysis Yu EE 226 Wireless Communications Hua EE/CS 228 Introduction to Deep Learning Oymak EE 237 Nonlinear Systems and Control TBD EE 240 Pattern Recognition Asif EE 243 Advanced Computer Vision Roy-Chowdhury EE 244 Computational Learning Bhanu EE 246 Intelligent Transportation Systems Barth EE 260 Superconductive Quantum Electronics Cybart EE 260 Trends in Energy Storage Ozkan EE 260 Hardware Design for Machine Learning Tan EE 260 Quantum Computing and Computer Architecture Tseng