Here are the courses I've taken during my graduate study:
Courses
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Fall 2013
- ESE520 Probability and Stochastic Processes
- ESE523 Information Theory
- ESE551 Linear Dynamic Systems I
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Spring 2014
- ESE415 Optimization
- ESE524 Detection and Estimation Theory
- CSE516A Multi-Agent Systems
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Fall 2014
- MATH4111 Introduction to Analysis
- MATH449 Numerical Applied Mathematics
- CSE417A Introduction to Machine Learning
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Spring 2015
- CSE515T Bayesian Methods in Machine Learning
- Engr 510B Engineering Writing for Non-Native English Speakers
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Fall 2015
- ESE 534 Special Topics in Advanced Electrodynamics
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Spring 2016
- ESE 513 Convex Optimization and Duality Theory
Study Groups
- SG Linear Statistical Models
- SG Convex Optimization
- SG Multivariate Analysis
- SG Detection and Estimation
- SG Deep Learning