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Signal Processing and Machine Learning Technical Area

Courses in Electrical Engineering’s Signal Processing and Machine Learning technical area provide students with the theoretical and technical background required to develop systems for real world applications. Graduates from this technical area find jobs in companies including Delphi, Microsoft, Intel, Qualcomm, Siemans, Volvo, Mathworks, Lockheed, Verizon, and Lawrence Livermore National Lab.

Professors: V. Devarajan, R. Madani, M.T. Manry, K.R. Rao, and I. Schizas

SP and ML Technical Area Courses

EE5302 Random Signals and Noise
EE5355 Discrete Transforms and Their Applications
EE5350 Digital Signal Processing
EE5356 Digital Image Processing
EE5351 Digital Video Coding
EE5357 Statistical Pattern Recognition
EE5352 Statistical Signal Processing
EE5358 Computer Vision
EE5353 Neural Networks and Deep Learning
EE6356 Image and Video Coding
EE5354 Machine Learning
EE5329 Convex Optimization for Engineering

Example MS Course Sequence

Fall Semester 2018

EE5350 Digital Signal Processing
EE5329 Convex Optimization for Engineering
EE5314 Embedded Microcontroller Systems

Spring Semester 2019

EE5352 Statistical Signal Processing
EE5359 Machine Learning
EE5356 Digital Image Processing

Summer Semester  2019

EE5357 Statistical Pattern Recognition
EE5302 Random Signals and Noise
EE5314 Embedded Microcontroller Systems

Fall Semester 2019

EE5353 Neural Networks and Deep Learning
EE5307 Linear Systems Engineering