Explore courses Spring 2027 Easiest courses↗ Hardest courses↗ All departments Spring 2027 Recorded offerings Tags Course details Schedule Grades Instructor 1active filters Instructor: Stephen Wright Clear filters Theory & Algorithms for Data Science covers probability, concentration inequalities, high-dimensional geometry, estimation, optimization, PAC learning, and distribution testing using Python.
Offering recorded · Spring 2027 · Sources
3 . 5 1 3.51 historical GPA · 5 9 59 grades
Spring 2025–Spring 2026 · limited sample Highly rated instructor
Directed study projects for Computer Science juniors and seniors, arranged with a faculty member.
Offering recorded · Spring 2027 · Sources
4 . 0 0 4.00 historical GPA · 9 3 93 grades
Fall 2022–Spring 2026 · limited sample Highly rated instructor
Grad st; Master's candidates only
Offering recorded · Spring 2027 · Sources
No recorded grade history
Highly rated instructor
Offering recorded · Spring 2027 · Sources
No recorded grade history
Highly rated instructor
Pre-dissertator independent research supervised by a faculty member for students who have completed a master's degree but have not reached dissertator status.
Offering recorded · Spring 2027 · Sources
No recorded grade history
Highly rated instructor
Advanced level mentored reading and research for students with dissertator status.
Offering recorded · Spring 2027 · Sources
No recorded grade history
Pre-Dissertator's Research involves directed PhD-level research projects arranged with a faculty advisor.
Offering recorded · Spring 2027 · Sources
No recorded grade history
Directed PhD-level research projects in industrial engineering, arranged with a faculty advisor for thesis work.
Offering recorded · Spring 2027 · Sources
No recorded grade history
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