6.454 Graduate Seminar in Area I

Class Info

Student-run advanced graduate seminar with focus on topics in communications, control, signal processing, optimization. Participants give presentations outside of their own research to expose colleagues to topics not covered in the usual curriculum. Recent topics have included compressed sensing, MDL principle, communication complexity, linear programming decoding, biology in EECS, distributed hypothesis testing, algorithms for random satisfaction problems, and cryptogaphy. Open to advanced students from all areas of EECS. Limited to 12.

This class has no prerequisites.

6.454 will be offered this semester (Fall 2017). It is instructed by L. Zheng and D. Shah.

This class counts for a total of 6 credits. This is a graduate-level class.

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