ELECTRICAL AND COMPUTER ENGINEERING
Catalog pages 285-295
Subject abbreviation: EE The Marlan and Rosemary Bourns College of Engineering
Amit Roy-Chowdhury, Ph.D., Chair Department Office, Winston Chung Hall, Suite 343
- (951) 827-2484; www.ece.ucr.edu
Professors Nael Abu-Ghazaleh, Ph.D. Alexander Balandin, Ph.D., Distinguished Professor Matthew J. Barth, Ph.D. Bir Bhanu, Ph.D., Distinguished Professor Amit Roy-Chowdhury, Ph.D. Ilya Dumer, Ph.D. Jay A. Farrell, Ph.D., Associate Dean, Academic Personnel, Bourns College of Engineering Yingbo Hua, Ph.D. Alexander Korotkov, Ph.D. Roger Lake, Ph.D. Jianlin Liu, Ph.D. Mihri Ozkan, Ph.D. Wei Ren, Ph.D. Sheldon Tan, Ph.D. Ertem Tuncel, Ph.D. Albert Wang, Ph.D.
Professor Emeritus Gerardo Beni, Ph.D. Susan Hackwood, Ph.D. Ping Liang, Ph.D.
Associate Professors Elaine D. Haberer, Ph.D. Anastasios I. Mourikis, Ph.D. Hamed Mohsenian-Rad, Ph.D.
Assistant Professors Zak Kassas, Ph.D. Ming Liu, Ph.D. Shaolei Ren, Ph.D. Daniel Wong, Ph.D. Nanpeng Yu, Ph.D. Salman Asif, Ph.D. Ran Cheng, Ph.D. Konstantinos Karydis, Ph.D. Hyoseung Kim, Ph.D. Samet Oymak, Ph.D.
Adjunct Professors Hossny El-Sherief, Ph.D.
Associate Adjunct Professors Gang Chen, Ph.D. Aleksander Khitun, Ph.D. Qi Zhu, Ph.D.
Cooperating Faculty Guillermo Aguilar, Ph.D. (Mechanical Engineering) Ludwig Bartels, Ph.D. (Chemistry) Laxmi Bhuyan, Ph.D. (Computer Science and Engineering) Walid Najjar, Ph.D. (Computer Science and Engineering) Cengiz Ozkan, Ph.D. (Mechanical Engineering) Hyle Park, Ph.D. (Bioengineering) Frank Vahid, Ph.D. (Computer Science and Engineering) Philip L. Brisk, Ph.D. (CSE) Shayne Andrew Cybart, Ph.D. (ME) Elisa Franco, Ph.D. (ME) Xiaoping Hu, Ph.D. (BIEN) Fabio Pasqualetti, Ph.D. (ME)
Affiliated Emeritus J. Keith Oddson, Ph.D. (Mathematics)
Lecturers Roman Chomko, Ph.D. Tofigh Heidarzadeh, Ph.D.
Major
The Department of Electrical and Computer En- gineering offers B.S., M.S., and Ph.D. degrees in Electrical Engineering and with the Department of Computer Science and Engineering jointly offers B.S. and M.S. degrees in Computer Engi- neering. For more information on the Computer Engineering degree programs, see Computer Engineering in this catalog.
Graduates of UCR’s B.S. program in Electrical Engineering will meet high professional, ethical, and societal goals as demonstrated by:
success in post-graduation studies as evidenced by:
- • satisfaction with the decision to further their
education
- • advanced degrees earned
- • professional visibility (e.g., publications,
presentations, patents, inventions, award)
- • professional responsibilities (e.g., profes-
sional mentoring, professional society mem- bership and offices, reviewing and editorial work for professional journals)
success in a chosen profession or vocation as evidenced by:
- • career satisfaction
- • promotions/raises (e.g., management lead-
ership positions, or distinguished technical positions)
- • professional visibility (e.g., publications,
presentations, patents, inventions, award)
- • professional responsibilities (e.g., profes-
sional registration, professional mentoring, professional society membership and offices)
- • entrepreneurial activities
- • consulting activities
contributions to society as evidenced by:
- • leadership roles
- • public service
- • mentoring/outreach activities
- • volunteer service
All undergraduates in the College of Engineer- ing must see an advisor at least annually. Visit student.engr.ucr.edu for details.
The Electrical Engineering B.S. degree program at UCR is accredited by the Engineering Accred- itation Commission of ABET, abet.org. For more details see ee.ucr.edu.
Undergraduate Program Focus Areas
The electrical engineering undergraduate pro- gram offers the following focus areas:
- 1. Communications, Signal Processing
and Networking: Fundamental and state-of-the-art theory and applications of acquisition, processing, and transmission of digital signals and images over wire, wireless (radio frequency), fiber optics, etc. Example applications include speech processing and recognition, mobile com- munication using smartphones, fiber optical communication, image enhancement and compression.
- 2. Control, Robotics and Machine Intel-
ligence: Theory and design of control of systems and robots, and systems capable of intelligent decisions. Example applica- tions include control systems in automotive, satellite, aircraft, computer hard drive, robotic manufacturing, autonomous robots, cell phone signal tracking, computer vision and intelligent transportation systems.
- 3. Embedded Systems and VLSI: Theory,
design and methodologies of embedded system using microcontrollers, very large scale, nanometer integrated circuits. Example applications include smart home appliances, Internet of Things, micropro- cessors, analog and mixed signal circuits, RF circuits for cell phones and wireless networks, system-on-chip and wireless networks, system-on-chip.
- 4. Nanotechnology, Advanced Materials
and Devices: Synthesis and characteri- zation of advanced materials at nanometer scale, theory, design and fabrication of electronic and optoelectronic devices. Example applications include creation of ultra-fast low-power transistors, efficient solar cells for energy generation, high-den- sity memory for smart phones and mobile services, and tiny devices for medical applications.
- 5. Power Engineering: Power electronics,
AC and DC power and their conversion, electro-mechanical energy conversion, electric motors, large-scale power gener- tion and transmission systems, long-dis- tance transmission and distribution of electric power, design of motion control drive circuits for robotic and industrial auto- mation systems, and other related topics.
All undergraduates in the College of Engineering must see an advisor at least annually. For details, visit student.engr.ucr.edu.
University Requirements
See Undergraduate Studies section.
College Requirements
See The Marlan and Rosemary Bourns College of Engineering, Colleges and Programs section.
The Electrical Engineering major uses the follow- ing major requirements to satisfy the college’s Natural Sciences and Mathematics breadth requirement.
- 1. One course in the biological sciences cho-
sen from an approved list
Major Requirements
- 1. Lower-division requirements (73 units)
- a) One course in the biological sciences
chosen from an approved list
- 2. Upper-division requirements (81 units)
EE 110B, EE 114, EE 116, CS 120A/EE 120A, CS 120B/EE 120B, EE 132, EE 133, EE 141, EE 175A, EE 175B
- c) ENGR 181W
- d) Sixteen (16) units of technical electives
chosen from CS 161, CS 168/EE 168; EE 115, EE 117, EE 118, EE 123, EE 128 (if not chosen as a required course in b) above), EE 135, EE 136, EE 137, EE 138, EE 139, EE 142, EE 144, EE 145/ME 145, EE 146, EE 147, EE 150, EE 151, EE 152, EE 153, EE 155 (if not chosen as a required course in
To ensure depth, the choice of technical electives must include at least one coherent se- quence of at least three (3) electrical engineering courses (lead course plus two additional) in one focus area of electrical engineering, as defined below.
- • Communications, Signal Processing and
Networking. Lead Course: EE 141. Se- quence Courses: EE 115, EE 117, EE 118, EE 128, EE 146, EE 150, EE 152, ENGR 160
- • Control, Robotics and Machine Intelligence.
Lead Course: EE 132. Sequence Courses: EE 128, EE 142, EE 144, EE 145/ME 145, EE 146, EE 151, EE 152, ENGR 160
- • Embedded Systems and VLSI. Lead
Course: EE 128. Sequence Courses: EE 135, EE 147, EE 165, CS 168/EE 168, CS 161, ENGR 160
- • Nanotechnology, Advanced Materials and
Devices. Lead Course: EE 133. Sequence Courses: EE 117, EE 136, EE 137, EE 138, EE 139, EE 162
- • Power Engineering. Lead Course: EE 155.
Sequence Courses: EE 117, EE 123, EE 128, EE 153, ENGR 160
Example course sequences are available through the Student Affairs Office in the College of Engineering or student.engr.ucr.edu
Graduate Program
The Department of Electrical and Computer Engineering offers programs leading to M.S. and Ph.D. degrees.
University requirements for the M.S. and Ph.D. degrees in Electrical Engineering are given in the Graduate Studies section of this catalog.
Research focus areas currently include commu- nications, computer vision, control, detection and estimation, distributed systems, electronic materials, error-correcting codes, image pro- cessing, information theory, intelligent sensors, intelligent systems, machine learning, modeling and simulation, multimedia, nanostructures and nanodevices, navigation, neural networks, pat- tern recognition, robotics and automation, signal processing, solid-state devices and circuits, sys- tem identification, and transportation systems.
Combined B.S. + M.S. Five-Year Program The college offers a combined B.S. + M.S. program in Electrical Engineering designed to lead to a Bachelor of Science degree as well as a Master of Science degree in five years. Appli- cants for this program must have a high school GPA above 3.6, a combined SAT Reasoning score above 1950 (or ACT plus Writing equiva- lent), complete the Entry Level Writing Require- ment before matriculation, and have sufficient mathematics preparation to enroll in calculus in their first quarter as freshmen.
Students in the B.S. + M.S. program are allowed to count up to 12 units of undergraduate tech- nical electives taken as UCR undergraduates towards the 48-unit requirements of the M.S. degree.
Interested students who are entering their junior year should check with their academic advisor for information on eligibility and other details.
Admission All applicants for the M.S. and Ph.D. programs must submit official scores for the GRE General Test. All applicants whose native language is not English and who do not have a degree from an institution where English is the exclusive language of instruction must complete the Test of English as a Foreign Language (TOEFL) with a minimum score of 550 (paper-based), 220 (computer-based), or 90 (Internet-based).
Applicants must meet the general admission requirements of the Riverside Division of the Ac- ademic Senate and the UCR Graduate Council as set forth in the UC Riverside Graduate Stu- dent Application. In addition, Master’s Degree Applicants should have completed a program equivalent to UCR’s B.S. in Electrical Engineer- ing or demonstrate the required knowledge and proficiency in the following subjects:
- 1. Mathematics, including calculus, differential
equations, and complex variables
- 2. Circuits and electronics (equivalent of EE 100)
- 3. Signals and systems (equivalent of EE 110)
- 4. Communication and signal processing
(equivalent of EE 115, EE 141)
- 5. Logic design, digital systems, and micro-
computers (equivalent of EE 120)
- 6. Control systems (equivalent of EE 132)
- 7. At least one major high-level programming
language and associated programming techniques (equivalent of CS 010)
Students with background in other scientific fields are encouraged to apply. Applicants lacking minimum undergraduate preparation in Argentina National University of Tres De Febrero Torcuato Di Tella University
Australia Australian National University University of Melbourne University of New South Wales University of Queensland University of Sydney University of Wollongong
Barbados University of the West Indies, Cave Hill
Belgium Field Research & Internship
Botswana University of Botswana
Brazil Catholic University of Salvador Pontifical Catholic University of Rio de Janeiro
Canada McGill University University of British Columbia
Chile Pontifical Catholic University of Chile University of Chile
China Beijing Normal University East China Normal University Fudan University Peking University, Beijing Tsinghua University, Beijing University of Michigan-Shanghai Jiao Tong Joint Institute
Costa Rica Monteverde Institute
Cyprus University of Nicosia
Czech Republic Charles University Prague Film and Television School at the Academy of the Performing Arts
Denmark University of Copenhagen
Dominican Republic Pontificia Universidad Católica Madre y Maestra
France École Normale Supérieure, Paris Institut d’Etudes Politiques (Sciences Po) UC Center, Paris University of Bordeaux University of Lyon University of Lyon III
Germany Free University of Berlin Free University of Berlin (BEST) Humboldt University, Berlin Munich University of Applied Sciences Technical University, Berlin
Ghana University of Ghana, Legon Hong Kong Chinese University of Hong Kong Hong Kong University of Science and Technology University of Hong Kong
India Fergusson College, Pune Jamia Milla Islamia University Semester in Mumbai with Internship University of Hyderabad
Ireland Institute of Public Administration National University of Ireland, Galway Trinity College Dublin University College Cork University College Dublin
Israel Ben-Gurion University of the Negev Hebrew University of Jerusalem Israel Institute of Technology, Technion/Neubauer
Italy UC Center, Florence UC Center, Rome University of Bologna University of Commerce Luigi Bocconi
Japan International Christian University Doshisha University Hitotsubashi University Keio University Meiji Gakuin University Osaka University Tohoku University Tsuru University University of Tokyo Waseda University
Jordan Advanced Arabic Language, Amman Arabic Language & Culture, Amman Diplomacy & Policy Studies, Amman
Korea Yonsei University
Mexico UC Center, Mexico City National Autonomous University of Mexico
Morocco Arabic Language & Culture, Rabat Intensive Arabic Summer, Rabat
Multi-Country Environmental & Community Health – Queensland, Solomon Islands European Transformations – Madrid, Rome Global Business in Asia – Hong Kong, Shanghai Global Cities Urban Realities – London, Paris Global Leadership – Mexico City, Sacramento Human Rights and Cultural Memory – Buenos Aires, Santiago Mediterranean Food & Culture – Istanbul, Florence, Barcelona Landscapes of Empire, Religion & Culture – Rome, Istanbul
The Netherlands Leiden University College Maastricht University University College Maastricht University College Utrecht Utrecht University New Zealand Lincoln University Massey University University of Auckland University of Canterbury University of Otago University of Waikato Victoria University of Wellington
Norway University of Oslo
Russia St. Petersburg State University
Senegal African & Development Studies, Dakar
Singapore National University of Singapore Singapore Agency for Science, Technology & Research
South Africa University of Cape Town
Spain Autonomous University of Barcelona Complutense University of Madrid Carlos III University Pompeu Fabra University, Barcelona UC Center, Madrid University of Barcelona University of Córdoba University of Granada
Sweden Folkuniversitet University of Lund
Switzerland University of Geneva
Taiwan National Taiwan University National Taiwan Normal University
Tanzania Ruaha Catholic University
Thailand Thammasat University
United Kingdom — Imperial College, London King’s College London London School of Economics Sotherby’s Institute of Art UC Center, Edinburgh UC Center, London University College London University of Bristol University of Cambridge, Pembroke/ King’s College University of East Anglia University of Edinburgh University of Glasgow University of Kent University of Leeds University of London, King’s College University of London, Queen Mary University of London, Royal Holloway University of Oxford, Exeter College University of Manchester University of St. Andrews University of Sussex University of Warwick EAP Opportunities and Countries (visit ea.ucr.edu for program details and all the latest updates) the above areas may be admitted but must take the appropriate undergraduate courses. Under special circumstances, students who have not completed all undergraduate requirements may be admitted provided that the deficiencies are corrected within the first year of graduate study. Courses taken for this purpose do not count towards an advanced degree.
Master of Science
The Department of Electrical and Computer Engineering offers the M.S. degree in Electrical Engineering.
General university requirements are listed in the Graduate Studies section of this catalog. Students may obtain an M.S. degree in Electrical Engineering through either Plan I (Thesis) or Plan II (Comprehensive Examination). The normative time for a student to complete the M.S. degree under both Plan I or Plan II is six quarters (two years). Students who are admitted with deficien- cies may require up to three additional quarters.
Plan I (Thesis) Students must complete 48 units of approved graduate or upper-division undergraduate work in Electrical Engineering and related areas such as Computer Science, Materials Science and Engineering, or other approved subject areas. At least 36 of these units must be graduate-level courses numbered between 200 and 279 taken at a campus of the UC. Colloquium units cannot be counted towards the unit requirements. No more than 12 units may be in graduate research (courses numbered 297 or 299). Upper-division undergraduate courses numbered 125 and above may be counted towards the unit require- ments upon approval.
A thesis on a research topic must be submitted and approved by the faculty. The thesis must demonstrate the student’s in-depth knowledge of the chosen research topic. Publishable results are encouraged. The thesis defense is a two- hour examination session open to the public and begins with a brief presentation of the thesis by the candidate, followed by a question-and-an- swer session.
Plan II (Comprehensive Examination) Students must complete 48 units of approved graduate or upper-division undergraduate work in Electrical Engineering and related areas such as Computer Science, Materials Science and Engineering, or other approved subject areas. At least 36 of these units must be graduate-level courses numbered between 200 and 279 taken at a campus of the UC. Units from courses num- bered 291 or higher and colloquium units may not be counted towards the unit requirements. A maximum of 6 units in Directed studies (290) may be counted. Upper-division undergradu- ate courses numbered 125 and above may be counted towards the unit requirements upon approval.
Students must pass the comprehensive exam- ination. This written exam consists of problems from five courses in one of the three Exam Areas:
- • signals, systems, and machine intelligence
- • nano materials and devices, or
- • computer engineering
Students must pass the exam in no more than two attempts. In the second attempt, they will be required to solve problems only from courses they did not pass in their first attempt..
Normative Time to Degree Six quarters (two years)
Doctoral Degree
The Department of Electrical and Computer Engineering offers the Ph.D. degree in Electrical Engineering.
Admission Students with backgrounds in Electrical Engi- neering or other related areas are encouraged to apply. An M.S. degree is not required for admission to the Ph.D. program. Under special circumstances, applicants lacking undergrad- uate preparation in core Electrical Engineering areas related to their field of research may be admitted, but must take the appropriate under- graduate courses to correct the deficiencies within the first year of graduate study. Courses taken for this purpose do not count towards an advanced degree.
Course Work Students must complete at least 36 units of approved graduate coursework in Electrical Engineering and related areas such as Computer Science, Materials Science and Engineering, or other approved subject areas. Only courses numbered between 200 and 279, excluding Col- loquium courses, may be counted towards this requirement. Students who have already taken 36 units of graduate coursework atUCR as part of the M.S. program in Electrical Engineering are deemed to have met the minimum-unit require- ment for the Ph.D. Students who are admitted with an M.S. degree from a different institution may use up to 16 units of equivalent courses taken during their M.S. study to count towards the requirement.
Students must complete a minimum of six quarters (two years) in residence in the UC with a GPA of 3.00 or better. Students must establish a course plan in coordination with their research advisor or the program Graduate Advisor. The course plan should lend support to the students’ research area, while adding breadth to their overall program. Students may need to take considerably more than 36 units to establish breadth and depth of knowledge in their area of research.
Advancement to Candidacy A student advances to candidacy after he/she has passed the preliminary examination and the oral qualifying examination, as described below.
Preliminary Examination The purpose of the preliminary examination is to screen candidates for continuation in the doc- toral program. The examination is administered by the graduate program committee. Students must solve problems from five courses in one of the three Exam Areas:
- • signals, systems, and machine intelligence
- • nano materials and devices, or
- • computer engineering
Three of these problems must be from the “basic” courses and two must be from the “advanced” courses designated for each Exam Area. Students who did not pass at the Ph.D. level in their first trial will be given a second chance. In the second attempt, they will be required to solve problems only from courses they did not pass at the Ph.D. level in their first attempt.
Plan II M.S. candidates who took the M.S. com- prehensive examination and successfully passed at the Ph.D. level are given credit for having passed the Ph.D. preliminary examination.
Oral Qualifying Examination Students are expected to demonstrate that they have a thorough understanding of their research field, and are capable of doing cutting-edge re- search. For that purpose, students must choose a research topic under the guidance of their faculty major professor and orally present to a Qualifying Committee, which is appointed by the Graduate Division based on nominations from the department.
The presentation must be accompanied by an Oral Exam Report, written in proper technical English and in the style of a typical Electrical Engineering conference or journal publication. This report should clearly describe the proposed problem under study, demonstrate substantial knowledge of the topic and related issues, present the research results the student has obtained, and indicate the plans for future work. Students must demonstrate ability to carry out a program of independent advanced research and to report the results in accordance with stan- dards observed in recognized technical journals.
The Oral Qualifying examination is closed to the public.
The student must complete this requirement in no more than two attempts. The normative time for taking the Oral Qualifying Exam is by the end of the second year.
Dissertation Examination and Defense After advancement to candidacy, the student must form a Doctoral Dissertation Commit- tee chaired by his or her major professor. The committee will consist of at least three senate faculty members with at least two members from the Electrical and Computer Engineering department.
When the Doctoral Dissertation Committee de- termines that a suitable draft of the dissertation has been presented, a dissertation examination and defense for the student is scheduled. The defense consists of a public seminar followed by questions from the committee members and the audience.
Normative Time to Degree 12 quarters (15 quarters for students without an M.S. in Electrical Engineering)
Preparation for Careers in Teaching
All doctoral students are recommended to be employed as teaching assistants for at least three quarters during their graduate career. The department is developing special courses to aid in the learning of effective teaching methods, such as handling discussion/lab sessions and preparing and grading examinations. Contact the Graduate Student Affairs Officer at the Department of Electrical and Computer Engi- neering, (951) 827-2484, or visit ece.ucr.edu for information on graduate courses.
Professional Development Requirement
All incoming M.S. and Ph.D. students must en- roll in the Fall, Winter, and Spring offerings of EE 259, Colloquium in Electrical Engineering.
Additionally, students in the Ph.D. program must submit a Professional Development Report that details the students’ efforts in developing their technical writing and presentation skills. This report should be submitted to and approved by the Graduate Committee, as a prerequisite for filing the Oral
Qualifying Committee nomination form. Specific requirements for the Professional Development Report are determined by the Graduate Com- mittee.
Courses
- EE 001A: Engineering Circuit Analysis I (3 units)
- EE 001B: Engineering Circuit Analysis II (4 units)
- EE 003: Electronics, Smartphones and Mobile Internet (4 units)
- EE 004: Nanotechnology: Science, Applications and Future (4 units)
- EE 005: Circuits and Electronics (4 units)
- EE 010: Introduction to Electrical Engineering (1 units)
- EE 01LA: Engineering Circuit Analysis I Laboratory (1 units)
- EE 020: Linear Methods for Engineering Analysis and Design Using MATLAB (4 units)
- EE 100A: Electronic Circuits (4 units)
- EE 100B: Electronic Circuits (4 units)
- EE 105: Modeling and Simulation of Dynamic Systems (4 units)
- EE 110A: Signals and Systems (4 units)
- EE 110B: Signals and Systems (4 units)
- EE 111: Digital and Analog Signals and Systems (4 units)
- EE 114: Probability, Random Variables, and Random Processes in Electrical Engineering (4 units)
- EE 115: Introduction to Communication Systems (4 units)
- EE 116: Engineering Electromagnetics (4 units)
- EE 117: Electromagnetics II (4 units)
- EE 118: Radio Frequency Circuit Design (4 units)
- EE 120A: Logic Design (5 units)
- EE 120B: Introduction to Embedded Systems (4 units)
- EE 123: Power Electronics (4 units)
- EE 128: Data Acquisition, Instrumentation, and Process Control (4 units)
- EE 132: Automatic Control (4 units)
- EE 133: Solid-State Electronics (4 units)
- EE 135: Analog Integrated Circuit Layout and Design (4 units)
- EE 136: Semiconductor Device Processing (4 units)
- EE 137: Introduction to Semiconductor Optoelectronic Devices (4 units)
- EE 138: Electrical Properties of Materials (4 units)
- EE 139: Magnetic Materials (4 units)
- EE 141: Digital Signal Processing (4 units)
- EE 142: Pattern Recognition and Analysis of Sensor Data (4 units)
- EE 144: Introduction to Robotics (4 units)
- EE 145: Robotic Planning and Kinematics (4 units)
- EE 146: Computer Vision (4 units)
- EE 147: Graphics Processing Unit Computing and Programming (4 units)
- EE 150: Digital Communications (4 units)
- EE 151: Introduction to Digital Control (4 units)
- EE 152: Digital Image Processing (4 units)
- EE 153: Electric Drives (4 units)
- EE 155: Power System Analysis (4 units)
- EE 162: Introduction to Nanoelectronics (4 units)
- EE 165: Design for Reliability of Integrated Circuits and Systems (4 units)
- EE 168: Introduction to Very Large Scale Integration (VLSI) Design (4 units)
- EE 175A: Senior Design Project (4 units)
- EE 175B: Senior Design Project (4 units)
- EE 190: Special Studies (1 to 5 units)
- EE 191 (E-Z): Seminar in Electrical Engineering (1 to 4 units)
- EE 194: Independent Reading (1 to 2 units)
- EE 197: Research for Undergraduates (1 to 4 units)
- EE 198I: Individual Internship in Electrical Engineering (1 to 12 units)
- EE 201: Applied Quantum Mechanics (4 units)
- EE 202: Fundamentals of Semiconductors and Nanostructures (4 units)
- EE 203: Solid-State Devices (4 units)
- EE 204: Advanced Electromagnetics (4 units)
- EE 205: Optoelectronics and Photonic Devices (4 units)
- EE 206: Nanoscale Characterization Techniques (4 units)
- EE 208: Semiconductor Electron, Phonon, and Optical Properties (4 units)
- EE 209: Semiclassical Electron Transport (4 units)
- EE 210: Advanced Digital Signal Processing (4 units)
- EE 211: Adaptive Signal Processing (4 units)
- EE 212: Quantum Electron Transport (4 units)
- EE 213: Computer-Aided Electronic Circuit Simulation (4 units)
- EE 214: Quantum Computing (4 units)
- EE 215: Stochastic Processes (4 units)
- EE 216: Nanoscale Phonon Engineering (4 units)
- EE 217: GPU Architecture and Parallel Programming (4 units)
- EE 218: Power System Steady State and Market Analysis (4 units)
- EE 219: Advanced Complementary Metal Oxide Semiconductor (CMOS) Technology (4 units)
- EE 220: Applied Ferromagnetism (4 units)
- EE 221: Radio-Frequency Integrated Circuit Design (4 units)
- EE 222: Advanced Radio-Frequency (RF) Integrated Circuit Design (4 units)
- EE 223: Numerical Analysis of Electromagnetic Devices (4 units)
- EE 224: Digital Communication Theory and Systems (4 units)
- EE 225: Error-Correcting Codes (4 units)
- EE 226: Wireless Communications (4 units)
- EE 227: Spread Spectrum Communications (4 units)
- EE 229: Video Processing and Communication (4 units)
- EE 230: Mathematical Methods for Electrical Engineers (4 units)
- EE 231: Convex Optimization in Engineering Applications (4 units)
- EE 232: Introduction to Smart Grid (4 units)
- EE 233: Optimal Control and Estimation (4 units)
- EE 235: Linear System Theory (4 units)
- EE 236: State and Parameter Estimation Theory (4 units)
- EE 237: Nonlinear Systems and Control (4 units)
- EE 238: Linear Multivariable Control (4 units)
- EE 239: Optimal Control (4 units)
- EE 240: Pattern Recognition (4 units)
- EE 241: Advanced Digital Image Processing (4 units)
- EE 243: Advanced Computer Vision (4 units)
- EE 244: Computational Learning (4 units)
- EE 245: Advanced Robotics (4 units)
- EE 246: Intelligent Transportation Systems (4 units)
- EE 247: Current Topics in Computer Vision and Pattern Recognition (4 units)
- EE 249: Power System Dynamics (4 units)
- EE 250: Information Theory (4 units)
- EE 252: Data Center Architecture (4 units)
- EE 253: Electric Power Distribution Systems (4 units)
- EE 254: Fundamentals of Lithographic Process Development (4 units)
- EE 255: Real-Time Embedded Systems (4 units)
- EE 257: Global Navigation Satellite System Signal Processing and Receiver Design (4 units)
- EE 258: Modeling and Synthesis of Cyber- Physical Systems (4 units)
- EE 259: Colloquium in Electrical Engineering (1 units)
- EE 260: Seminar in Electrical Engineering (1 to 4 units)
- EE 270: Introduction to Video Bioinformatics (3 units)
- EE 271: Video Bioinformatics: Multi-scale Analysis of Biological Systems (2 units)
- EE 272: Introduction to Imaging Bioinstrumentation and Analysis (2 units)
- EE 273: Live Imaging and Analysis of Cellular and Molecular Behaviors (2 units)
- EE 274: Introduction to Medical Imaging and Analysis (2 units)
- EE 275: Project in Video Bioinformatics (2 units)
- EE 276: Colloquium in Video Bioinformatics (1 units)
- EE 290: Directed Studies (1 to 6 units)
- EE 297: Directed Research (1 to 6 units)
- EE 298I: Individual Internship in Electrical Engineering (1 to 12 units)
- EE 299: Research for the Thesis or Dissertation (1 to 12 units)