Announcements First meeting: Thursday, Jan 3rd, 3:30 pm in room MATH 202. Jan 8 New time/classroom: We will meet Thursdays, 25pm in room MATX 1102. 
Instructor
Information
Instructor: Ozgur Yilmaz Email : oyilmazatmath.ubc.ca Office: Math Annex 1113 Hours: By appointment 
Course Information Class times and location: Th, 25pm, MATX 1102 Course outline
This is a course is on the
mathematical theory of compressed sensing focusing
on both mathematical and algorithmic aspects.
2. Sparse solutions of underdetermined
systems
3. Theoretical recovery guarantees for onenorm minimization: deterministic analysis
4. Random matrices and the RIP
5. Some approximation theory: optimality and
Gelfand widths 6. Generalizations and extensions

Grading There will be homework assignments (50%) and a term project (50%). Prerequisites I intend the course to be (more or less) self contained. It would be beneficial to have some background in functional analysis and harmonic analysis as well as in signal processing and information theory. Contact me if you have specific questions. 