Theoretical Foundations of Data Science I
DSC 40A, Winter 2025 at UC San Diego π
Winter 2025
LEDDN AUD
TUE & THUR 5:00PM - 6:20PM
Week 1 - Modeling, Loss Functions, & Simple Linear Regression
π Read Chapter 1, Pages 1-12.
π Read Chapter 2, Pages 1-7.
π Read the spread notes.
πΏ Watch Ahmed's Calc Review.
- π§βπ« Tue Jan 7
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MISC Sign Up for EdStem (class discussion board) SIGN UP LINK
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SUR Welcome Survey
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MISC Assign study groups
- π§βπ« Wed Jan 8
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DISC No Section
- π§βπ« Thu Jan 9
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HOPS Hands-On Problem Solving 1
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HW Homework 1 Released
Week 3 - Linear Algebra & Regression
πΏ Watch Owen's Matrix Multiplication Review Pt.1.
πΏ Watch Owen's Matrix Multiplication Review Pt.2.
Week 7 - Gradient Descent
π Read Chapter 1, Pages 16-17.
π Read Notes on Convexity.
Week 8 - Probability & Combinatorics
π Read Janine's probability roadmap (in order):
Roadmap with Questions - Roadmap with Answers - Summary
π Read Chapters 1 and 2 of this online Probability Textbook.
πΏ Watch Suraj's combinatoric problems.
Week 9 - Probability & Independence
πͺ Build intuition for probability.
πͺ Build intuition for conditional probability.
- π§βπ« Tue Mar 4
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LEC 15 Bayes' Theorem and Independence
blank filled recording -
HOPS Hands-On Problem Solving 12
- π§βπ« Wed Mar 5
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DISC Groupwork 4 Review (Discussion Section)
- π§βπ« Thu Mar 6
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LEC 16 Independence and Conditional Independence
blank filled recording -
HOPS Hands-On Problem Solving 13