ELE520: Mathematics of Data Science
Instructor
Yuxin Chen, C330 Equad, yuxin dot chen at princeton dot edu
Office hours: Tue/Thu 11am  12pm (after the lectures), Zoom (see Blackboard), or by appointment
Teaching Assistants
Lecture Times
Administrative Assistant
Assessment
Homeworks. There will be a few homework assignments that involve both theory and programming components. No late homeworks are accepted. You are encouraged to use LaTeX to typeset your homeworks.
Final project. See the description here.
Your grade: max{ 0.4*Homework + 0.6* Project, Project }
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.
