Theory & Algorithms for Data Science covers probability, concentration inequalities, high-dimensional geometry, estimation, optimization, PAC learning, and distribution testing using Python.
Recent recorded grades — Spring 2025: 3.65 GPA, 79.4% A/AB (n=34 letter grades); Spring 2026: 3.32 GPA, 76.0% A/AB (n=25 letter grades).
Use and explain theoretical concepts in data science, such as concentration inequalities, learning, nonparametric distribution testing, optimization.
Use properties of high-dimensional random variables to perform tasks such as dimension reduction and separating mixtures of Gaussians
Use optimization algorithms such as gradient descent and stochastic gradient descent and analyze their computational complexity
Analyze sample complexity for basic learning tasks such binary linear classification, as well as computational complexity of algorithms for solving them
Analyze sample complexity of distribution testing tasks, such as testing uniformity and testing equivalence of discrete distributions
Source: UW Guide
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(COMP SCI 200, 220, placement into COMP SCI 300, or STAT 340), (MATH 320, 340, 341, 345, or 375), and (STAT 311, 333, 340,MATH/STAT 309, 431,MATH 331, 531, orI SY E 210), or graduate/professional standing
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Raw average: 4.20/5 from 10 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.
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| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 50 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Recent recorded grades — Spring 2025: 3.65 GPA, 79.4% A/AB (n=34 letter grades); Spring 2026: 3.32 GPA, 76.0% A/AB (n=25 letter grades).
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Latest available · Spring 2026— not enough history to project Spring 2027.
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Theory & Algorithms for Data Science
Recorded 2026-10-14[
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]Original comments behind the course and instructor summaries.
No records available.
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Recorded model configuration, reasoning, and tool conversations.
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