Public profile
Research areas
Data science, network science, machine learning, graphs algorithms
Computer Science
Assistant Professor of Computer Science
Member, Ken Kennedy Institute
Average rating
2.9
2 temporary mock ratings
Difficulty
4.2
course-linked average
Courses
5
in seeded sections
Data science, network science, machine learning, graphs algorithms
COMP 390
Theoretical and experimental investigations under staff direction. Repeatable for Credit.
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 640
A reading course covering the latest developments in statistical machine learning and pattern recognition. Recommended Prerequisite(s): COMP 440. Repeatable for Credit.
COMP 800
Repeatable for Credit.
ELEC 800
Repeatable for Credit.