ELE538B: Sparsity, Structure and Inference
Instructor
Yuxin Chen, C330 Equad, yuxin dot chen at princeton dot edu
Office hours: Mon/Wed 11am - 12pm (after the lectures), C330 Equad, or by appointment
Teaching Assistant
Yeohee Im, F210-E3 Equad (email: yeoheei at princeton dot edu)
Office hours: Tue 4:30-5:30pm, F210-E3 Equad, or by appointment
Lecture Times
Location
Administrative Assistant
Assessment
Homeworks (40%). There will be a few homework assignments that involve both theory and programming components. A hard copy of your homework must be turned in at the beginning of class. No late homeworks are accepted. You are encouraged to use LaTeX to typeset your homeworks.
Final project (60%). See the description here.
Review sessions
There will be a few review sessions given at the beginning of the semester. The purpose of the sessions is to give you a quick review of basic linear algebra and probability. Attendance is optional.
Course Policies
Prerequisites. Students should have backgrounds in basic linear algebra and in basic probability (measure- theoretic probability is not needed), as well as knowledge of a programming language like MATLAB or Python to conduct simple simulation exercises. While no specific background in optimization is required, a course such as ORF307 (Optimization) would be beneficial.
Piazza. The main mode of electronic communication between students and staff, as well as amongst students, will be through http:www.piazza.com/. It is intended for general questions about the course, clarifications about assignments, student questions to each other, discussions about material, and so on. We strongly encourage students to participate in discussion, ask and answer questions through this site. The course staff will monitor discussions closely.
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