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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, Matt
    EE 010 Introduction to Electrical Engineering Chomko, Roman
    EE020B Linear Methods for Engineering Analysis and Design Using Matlab Vaezi, Hamid
    EE 30A Fundamentals of Electric Circuits I El-Sherief
    EE 100A Electronic Circuits I Liu, Ming
    EE 110A Signals and Systems Tuncel, Ertem
    EE 114 Probability, Random Variables, and Random Processes in Electrical Engineering Vaezi, Matt
    EE115 Introduction to Communication Systems Hua, Yingbo
    EE 116 Engineering Electromagnetics Khitun
    EE/CS 120A Logic Design Vaezi, Hamid
    EE 128 Sensing and Actuation for Embedded Systems Chomko, Roman
    EE 133 Solid-State Electronics Chen, Xi
    EE 136 Semiconductor Device Processing Liu, Jianlin
    EE 138 Electrical Properties of Materials Haberer, Elaine
    EE 141 Digital Signal Processing Ren, Shaolei
    EE 142 (CS 171) Introduction to Machine Learning and Data Mining Asif, Salman
    EE 144 Foundations of Robotics Karydis, Kostas
    EE/MSE 161 Analytical Material Characterization Cybart, Shane
    EE 165 Design for Reliability of Integrated Circuits and Systems Wang, Albert
    EE/CS 168 Introduction to Very Large Scale Integration (VLSI) Design Tan, Sheldon
    EE 175A Senior Design Project Chomko, Roman

  • Graduate

    Course Number
    Course Description
    Instructor
    EE 201/MSE 207 Applied Quantum Mechanics Liu, M
    EE 215 Stochastic Processes Guler, Basak
    EE/CS 217 Graphics Processing Unit Architecture and Parallel Programing Wong, Daniel
    EE 221 Radio-Frequency Integrated Circuit Design Wang, Albert
    EE/CS 228 Introduction to Deep Learning Zhu, Yinglun
    EE 230 Mathematical Methods for Electrical Engineers Cheng, Ren
    EE 231 Convex Optimization in Engineering Applications Mohsenian-Rad
    EE 244 Computational Learning Bhanu, Bir
    EE 252 Data Center Architecture Ren, Shaolei
    EE 260A Autonomous Cyber-Physical Systems Liu, Cong

Winter 2023

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

  • Undergraduate
    Course Number
    Course Description
    Instructor
    EE 005 Circuits and Electronics Vaezi, Matt
    EE 016 Data Analysis for Engineering Applications Chen, Jia
    EE 020B Linear Methods for Engineering Analysis and Design Using Mathlab Lindsey, Timothy
    EE 30A Fundamentals of Electric Circuits I El-Sherief
    EE 30B Fundamentals of Electric Circuits II El-Sherief
    EE 105 Modeling and Simulation of Dynamic Systems Farrell, Jay
    EE 110A Signals and Systems I Chen, Jia
    EE 110B  Signals and System Tuncel
    EE 111 Digital and Analog Signal and Systems Ren, Shaolei
    EE 114 Probability, Random Variables, and Random Processes in Electrical Engineering  Vaezi, Matt
    EE 117 Electromagnetics II Khitun
    EE/CS 120A Logic Design Chen, Jia
    EE/CS 131 Edge Computing Qiu, H
    EE 133 Solid-State Electronics Lake, Roger
    EE 137 Introduction to Semiconductor Optoelectronic Devices Liu, Jianlin
    EE 142/CS 171 Introduction To Machine Learning and Data Mining Yinglun Zhu
    EE 146 Computer Vision Bhanu, Bir
    EE 175B Senior Design Project

    Chomko, Roman

  • Graduate


     

    Course Number 
    Course Description
    Course Instructor
    EE 202/MSE 217 Fundamentals of Semiconductors and Nanostructures

    Chen, Xi

    EE 206/MSE 227A Nanoscale Characterization Techniques Liu, Jianlin
    EE 213 Computer-Aided Electronic Circuit Simulation Tan, Sheldon
    EE 220A/MSE 237A Quantum Magnetism Cheng, Ran
    EE 224 Digital Communication Theory and Systems Hua, Yingbo
    EE/ME 235 Linear System Theory Ren, Wei
    EE 249 Power System Dynamics Yamashita, Koji
    EE 250 Information Theory Guler, Basak
    EE 255/CS 251 Real-Time Embedded System Kim, Hyoseung
    EE 260B Trustworthy AI for Autonomous Systems Li, Jiachen
    EE/CS 277 Data-Centric Computer Architecture Tseng, Hung-Wei

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 El-Sherief
    EE 030B Fundamentals of Electric Circuits II El-Sherief
    EE 100A Electronic Circuits Wang, Albert
    EE 100B Electronic Circuits II Liu, Ming
    EE 106 Programming Practical Robots Karydis, Kostas
    EE 110B Signals and Systems II Saragadam
    EE 114 Probability, Random Variables, and Random Processes in Electrical Engineering Chen, Jia
    EE 116 Engineering Electromagnetics Cheng, Ran
    EE 123 Power Electronics Chomko, Roman
    EE/CS 120A Logic Design Chen, Jia
    EE 128 Sensing and Actuation for Embedded Systems Unassigned
    EE 132 Automatic Control Ren, Wei
    EE 139 Magnetic Materials Ozkan, Mihri
    EE 141 Digital Signal Processing Guler, Basak
    EE/CS 147 Graphics Processing Unit (GPU) Computing and Programming Wong, Daniel
    EE 148   Li, Jiachen
    EE 152 Image Processing Bhanu, Bir
    EE 155 Power System Analysis Yu, Nanpeng
    EE 162 Introduction to Nanoelectronics Khitun
  • Graduate

    Course Number
    Course Description
    Instructor
    EE 203/MSE 237C Solid-State Devices Haberer, Elaine
    EE 208/MSE 227B Semiconductor Electronic and Optical Properties Lake, Roger
    EE 226 Wireless Communication Hua, Yingbo
    EE 227/ CS 258 Introduction to Reinforcement Learning Yu, Nanpeng
    EE 234 Smart Data Driven Applications Mohsenian-Rad
    EE/ME 236 State and Parameter Estimation Theory Farrell, Jay
    EE 237 Nonlinear Systems and Control Ren, Wei
    EE 240 Pattern Recognition Asif, Salman
    EE 243 Advanced Computer Vision Roy-Chowdhury
    EE 246 Intelligent Transportation Systems Barth, Matthew
    EE 256 Superconductive Quantum Electronics Cybart, Shane
    EE 260C Introduction To The Self-Driving Stack Qiu, Hang
    EE 260D Interactive Machine Learning Zhu, Yinglun