Public profile
Research areas
Large scale machine learning, randomized algorithms for big data, graphs and social networks mining
Computer Science
Professor of Computer Science, of Electrical and Computer Engineering, and of Statistics
Member, Ken Kennedy Institute
Average rating
3.4
7 temporary mock ratings
Difficulty
3.1
course-linked average
Courses
6
in seeded sections
Large scale machine learning, randomized algorithms for big data, graphs and social networks mining
COMP 480
This course will be ideal for someone wanting to build a strong foundation in the theory and practice of algorithms for processing Big-Data. We will discuss advanced data structures and algorithms going beyond deterministic setting and emphasize the role of randomness in getting significant, often exponential, improvements in computations and memory. Cross-list: COMP 580.
COMP 490
Theoretical and experimental investigation under staff direction. Repeatable for Credit.
COMP 580
This course will be ideal for someone wanting to build a strong foundation in the theory and practice of algorithms for processing Big-Data. We will discuss advanced data structures and algorithms going beyond deterministic setting and emphasize the role of randomness in getting significant, often exponential, improvements in computations and memory. Cross-list: COMP 480.
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 800
Repeatable for Credit.