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Graduate Program - Academics

Engineering Excellence

Our mission is to lead innovation in electrical and computer engineering and to train future leaders to solve the grand challenges of the 21st century.

Academics Overview

The Department of Electrical and Computer Engineering (ECE) at the University of California, Riverside (UCR) offers the following degree programs:

​​​​​​​ 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. 

Degree Programs

Course Offerings

Please see the latest course catalog for course descriptions.

Fall 2022

This is a tentative course listing that is subject to change.

  • Undergraduate
    Course Number Course Description Instructor
    EE 005 Circuits and Electronics Vaezi
    EE 010 Introduction to Electrical Engineering Chomko
    EE 016 Data Analysis for Engineering Applications Oymak
    EE 020B Linear Methods for Engineering Analysis and Design Using Matlab Chen, J.
    EE 030A Fundamentals of Electric Circuits I  Ozkan
    EE 100A Electronic Circuits I Liu, M.
    EE 110A Signals and Systems  Ren, S. 
    EE 114 Probability, Random Variables, and Random Processes in Electrical Engineering Vaezi
    EE 115 Introduction to Communication Systems Hua
    EE 116 Engineering Electromagnetics Balandin
    EE/CS 120A Logic Design Chen, J.
    EE 123 Power Electronics Chomko
    EE 128 Sensing and Actuation for Embedded Systems Chomko
    EE 133 Solid-State Electronics Chen, X.
    EE 136 Semiconductor Device Processing Liu, J.
    EE 138 Electrical Properties of Materials Haberer
    EE 139 Magnetic Materials Ozkan
    EE 141 Digital Signal Processing Chen, J. 
    EE 142/CS 171 Introduction to Machine Learning and Data Mining Asif
    EE/MSE 161 Analytical Material Characterization Cybart
    EE 144/EE 283A Foundations of Robotics Karydis
    EE 175A Senior Design Project Chomko
    ENGR/HIST 108 Technology in the Premodern World Heidarzadeh
  • Graduate
    Course Number Course Description Instructor
    EE 201/MSE 207 Applied Quantum Mechanics Liu, M.
    EE 215 Stochastic Processes Guler
    EE/CS 217 Graphics Processing Unit (GPU) Architecture and Parallel Programming Wong
    EE 230 Mathematical Methods for Electrical Engineers Cheng
    EE 233/ME 220 Optimal Control and Estimation Sheng
    EE 244 Computational Learning Bhanu
    EE 252 Data Center Architecture Ren, S.
    EE 283A/EE 144 Foundations of Robotics Karydis

Winter 2023

This is a tentative course listing that is subject to change.

  • Undergraduate
    Course Number Course Description Instructor
    EE 005 Circuits and Electronics El-Sherief
    EE 020B Linear Methods for Engineering Analysis and Design using MATLAB Chen, J.
    EE 030A Fundamentals of Electric Circuits I El-Sherief
    EE 030B Fundamentals of Electric Circuits II Chomko
    EE 105 Modeling and Simulation of Dynamic Systems  Farrell
    EE 110A Signals and Systems I Tuncel
    EE 110B Signals and Systems II Hua
    EE 111 Digital and Analog Signals and Systems Ren, S.
    EE 114 Probability, Random Variables, and Random Processes in Electrical Engineering  Roy-Chowdhury
    EE 117 Electromagnetics II  Khitun
    EE/CS 120A Logic Design Chen, J.
    EE 132 Automatic Control Ren, W.
    EE 133 Solid-State Electronics Lake
    EE 137 Introduction to Semiconductor Optoelectronic Devices  Liu, J.
    EE 146 Computer Vision Bhanu
    EE/CS 168 Introduction to Very Large Scale Integration (VLSI) Design Tan
    EE 175B Senior Design Project Chomko
    ENGR/HIST 108 Technology in the Premodern World Heidarzadeh
    ENGR/HIST 109 Technology in the Modern World Heidarzadeh
    ENGR 160 Introduction to Engineering Optimization Techniques Mohsenian-Rad, H.
    ENGR/PBPL 171 Globalization Barth
  • Graduate
    Course Number Course Description Instructor
    EE 202/MSE 217 Fundamentals of Semiconductors and Nanostructures Chen, X.
    EE 206/MSE 227A Nanoscale Characterization Techniques Liu, J.
    EE 208/MSE 227B Semiconductor Electronic and Optical Properties Lake
    EE 213 Computer-Aided Electronic Circuit Simulation Tan
    EE 220B Advanced Spintronics and Nanomagnetic Devices Cheng
    EE 224 Digital Communication Theory and Systems Hua
    EE/ME 235 Linear System Theory Ren, W.
    EE/ME 236 State and Parameter Estimation Theory Farrell
    EE 241 Advanced Digital Image Processing Asif
    EE/CS 248 Optimization for Machine Learning Oymak
    EE 250 Information Theory Guler
    EE 253 Electric Power Distribution Systems Yu, N.
    EE 254 Lithographic Process Development Cybart
    EE 255/CS 251 Real-Time Embedded Systems Kim
    EE 260 Current Topics in Low Dimensional Materials Balandin
    EE 260B Autonomous Systems Cong

Spring 2023

This is a tentative course listing that is subject to change.

  • Undergraduate
    Course Number Course Description Instructor
    EE 003 Electronics, Smartphones, and Mobile Internet Khitun
    EE 005 Circuits and Electronics Chomko
    EE 030B Fundamentals of Electric Circuits II El-Sherief
    EE 100A Electronic Circuits I Wang, A. 
    EE 100B Electronic Circuits II Liu, M.
    EE 106 Programming Practical Robots Karydis
    EE 110B Signals and Systems II Tuncel
    EE 114 Probability, Random Variables, and Random Processes in Electrical Engineering  Vaezi
    EE 116 Engineering Electromagnetics Cheng
    EE/CS 120A Logic Design Chen, J.
    EE 128 Sensing and Actuation for Embedded Systems Yidi Wang
    EE 141 Digital Signal Processing Guler
    EE/CS 147 Graphics Processing Unit (GPU) Computing and Programming Wong
    EE 152 Image Processing Bhanu
    EE 155 Power System Analysis Yu
    EE 162 Introduction to Nanoelectronics  Khitun
    ENGR/HIST 108 Technology in the Premodern World Heidarzadeh
    ENGR/HIST 109 Technology in the Modern World Heidarzadeh
    ENGR 181W Technological Communication and Documentation Heidarzadeh
  • Graduate
    Course Number Course Description Instructor
    EE 203/MSE 237C Solid-State Devices Haberer
    EE 205 Optoelectronics and Photonic Devices Liu, J.
    EE 209 Semiclassical Electron Transport Lake
    EE 226 Wireless Communications Hua
    EE/CS 228 Introduction to Deep Learning Oymak
    EE 232 Introduction to Smart Grid Mohsenian-Rad
    EE/ME 237 Nonlinear Systems and Control Ren, W.
    EE 240 Pattern Recognition Asif
    EE 243 Advanced Computer Vision  Roy-Chowdhury
    EE 246 Intelligent Transportation Systems Barth
    EE 260 Seminar in Electrical Engineering
    Ozkan
    EE 260C Robotics Karydis
    EE 260D Introduction to Reinforcement Learning Yu