Public profile
Research areas
Machine learning theory, game theory, algorithmic market design and mechanism design, optimization, and privacy
Computer Science
Assistant Professor
Member, Ken Kennedy Institute
Average rating
3.6
7 temporary mock ratings
Difficulty
3.3
course-linked average
Courses
4
in seeded sections
Machine learning theory, game theory, algorithmic market design and mechanism design, optimization, and privacy
COMP 582
Methods for designing and analyzing computer algorithms and data structures. The focus of this course will be on the theoretical and mathematical aspects of algorithms and data structures. Cross-list: ELEC 512. Recommended Prerequisite(s): STAT 310 or ECON 307 or STAT 331 or ELEC 331 or ELEC 303 or STAT 312
COMP 590
Advanced theoretical and experimental investigations under staff direction. The student must have a full-time internship to receive 4 credits for this course. Repeatable for Credit.
COMP 800
Repeatable for Credit.
ELEC 512
Methods for designing and analyzing computer algorithms and data structures. The focus of this course will be on the theoretical and mathematical aspects of algorithms and data structures. Cross-list: COMP 582. Recommended Prerequisite(s): STAT 310 or ECON 307 or STAT 331 or ELEC 331 or ELEC 303 or STAT 312