Resources: ECE Official Course Descriptions (UCSD Catalog)
For ECE Graduate Students Only: ECE Course Pre-Authorization Request ("Clear Me") Form
For 2016-2017 Academic Year: Courses, 2016-17
ACADEMIC YEAR: 2017-2018
Class listings and faculty are proposed and subject to change. Click on the instructor's name for the class website.
COURSE |
FALL 17 |
WINTER 18 |
SPRING 18 |
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NGUYEN, HALL, ELDON | NGUYEN, HALL, ELDON, MORRIS | NGUYEN, HALL, ELDON, MORRIS | |
VARDY | VARDY | ||
KHOSHABEH | KHOSHABEH | ||
VASCONCELOS, M. | DEY | LIU | |
ELDON | MIRARAB | ||
SCHURGERS |
FORD | RADIC | |
ZEGER | LUGANNANI |
FRANCESCHETTI |
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TAUR | BAGHDADCHI | BAGHDADCHI | |
SIEVENPIPER | KANTE | ||
SIEGEL | BAGHDADCHI | TOURI | |
SCHURGERS | MARALANI | ||
NG | KUZUM | KUZUM | |
KANTE | LOMAKIN | ||
ZEGER | LUGANNANI | ||
KOUSHANFAR | LIN | LIN | |
DAS | YIP | ||
QUEST | |||
ESMAILI | |||
ESMAILI | |||
SIEVENPIPER | |||
ESMAILI | |||
ESMAILI | |||
NG | |||
TU | |||
DAYEH | |||
DAYEH | |||
ECE 140A The Art of Product Engineering I |
GESSNER & KHOSHABEH | ||
ECE 140B The Art of Product Engineering II |
GESSNER & KHOSHABEH | ||
ECE 143 Programming for Data Analysis |
UNPINGCO | ||
LUGANNANI | JAVIDI | ||
MILSTEIN | |||
MILSTEIN | |||
JAVIDI | |||
LING | |||
LING | |||
FRANCESCHETTI | |||
ZHANG | |||
RAO | |||
NGUYEN | |||
HARRIS | |||
LEVY | |||
HALL | |||
MERCIER | |||
REBEIZ | |||
SWORDER | |||
SWORDER | |||
TRIVEDI | |||
Introduction to Linear & Nonlinear Optimization with Applications |
KREUTZ-DELGADO | ||
Elements of Machine Intelligence: Pattern Recognition & Machine Learning |
VASCONCELOS, N. | ||
Elements of Machine Intelligence: Probabilistic Reasoning & Graphical Models |
KREUTZ-DELGADO | ||
ABI-SAMRA (C00) Real-World Power Grid Operations UNPINGCO (D00) Programming for Data Analysis |
ABI-SAMRA (D00) Practical Simulations of Power Systems Phenomena GESSNER (C00) Systems Software I
UNPINGCO (F00) Programming for Data Analysis GHOUDJEHBAKLOU (A00) Power System Planning & Reliability KUMAR (E00) Entrepreneurship for Engineers |
ABI-SAMRA Power Grid Resiliency for Adverse Conditions GESSNER Systems Software II ESMAILI Motor Drives |
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FORD | |||
LOMAKIN | |||
MOOKHERJEA | |||
FAINMAN | |||
PAPEN | |||
Topics in Electrical and Computer Engineering with Laboratory |
PHAN (A00) Introduction to LabVIEW |
PHAN Introduction to LabVIEW |
PHAN Introduction to LabVIEW
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COSMAN | COSMAN | TU / DAS | |
Engineering Hands-On Group Project
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NGUYEN | NGUYEN | NGUYEN |
LO | |||
KUZUM | |||
MERCIER | |||
GILJA | |||
MIRARAB | |||
MOOKHERJEA | |||
NG | |||
LIU | |||
REBEIZ | |||
SIEVENPIPER | |||
Applied Electromagnetic Theory- Computational Methods for Electromagnetics |
LOMAKIN | ||
ECE 225B Universal Probability and Applications in Data Science |
KIM | ||
ECE 226 Optimization and Acceleration of Deep Learning on Various Hardware Platforms |
KOUSHANFAR | ||
ECE 228 Machine Learning for Physical Applications |
GERSTOFT | ||
LO | |||
TAUR | |||
YU | |||
TAUR | |||
DAYEH | |||
LO | |||
ASBECK | |||
LUO (NANO FACULTY) |
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MCKITTRICK (MAE FACULTY) |
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PAPEN | |||
FAINMAN | |||
RADIC | |||
MOOKHERJEA | |||
PAPEN | |||
JOKERST (NANO FACULTY) |
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LUGANNANI | SIEGEL | KIM | |
HODGKISS | |||
VASCONCELOS, M. | |||
RAO | |||
RAO | |||
TRIVEDI | |||
HODGKISS | |||
ORLITSKY | |||
ZEGER | |||
ZHANG | |||
BHARADIA | |||
MILSTEIN | |||
SIEGEL | |||
ELDON | |||
KAHNG | |||
GALTON | |||
GALTON | |||
GALTON | |||
ALI-AHMAD | |||
LEUNG | |||
PRESTI | |||
KOUSHANFAR | |||
Linear Algebra |
PAL | KIM | |
VASCONCELOS, N. | |||
VASCONCELOS, M. | |||
ECE 271C Deep Learning and Applications |
VASCONCELOS, N. | ||
TOURI | |||
JAVIDI | |||
PAL | |||
KREUTZ-DELGADO | |||
KREUTZ-DELGADO | |||
Sensing & Estimation Robotics |
ATANASOV | ||
Planning & Learning in Robotics |
ATANASOV | ||
Robot Reinforcement Learning |
YIP | ||
Math Topics for MS Comp Exam |
PAPEN | ||
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Special Topics in Electronic Devices & Materials/Applied Physics |
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MOOKHERJEA |
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Special Topics in Signal & Image Processing/Robotics & Control Systems |
SWORDER (B00) (Target Tracking and Estimation)
DELEDALLE (D00) (Image and Video Restoration) AN (E00) (Fundamentals of Image and Video Compression) |
SWORDER (Intro to Math Finance) AN (Real-time Image and Video Compression) RAO (Compressed Sensing and Sparse Signal Recovery) |
KANTE (Multipole Theory & Electromagnetism) TRIVEDI (Intelligent Vehicles and Assistance Systems) AN (GPU Programming) DELEDALLE (Machine Learning for Data Processing) |
State-of-the-Art Topics in Computational Statistics & Machine Learning |
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(Big Network Data) (Probability and Statistics for Data Science) |
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Graduate Seminar in Electronic Devices & Materials/Applied Physics |
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Graduate Seminar in Signal & Image Processing/Robotics & Control Systems |
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