Explore courses Spring 2027 Easiest courses↗ Hardest courses↗ All departments Spring 2027 Recorded offerings Tags Course details Schedule Grades Instructor 1active filters Instructor: Sebastien Roch Clear filters Linear Algebra and Optimization introduces linear algebra, multivariable calculus, and optimization theory with applications to data science, implemented in Python.
Offering recorded · Spring 2027 · Sources
Recent recorded grades — Spring 2025: 3.12 GPA, 52.9% A/AB (n=17 letter grades).[1] Sources
3 . 0 3 3.03 historical GPA · 4 3 43 grades
Spring 2025–Spring 2026 · limited sample Lower grades
Covers mathematical foundations of networks for data science, focusing on algorithmic graph theory, linear algebra, network statistics, and PageRank.
Offering recorded · Spring 2027 · Sources
3 . 3 0 3.30 historical GPA · 1 5 2 152 grades
Fall 2023–Spring 2026 Highly rated instructor
Reading and research in all areas of Mathematics.
Offering recorded · Spring 2027 · Sources
No recorded grade history
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