Theoretical Foundations of Data Science I
DSC 40A, Summer Session 1 2024 at UC San Diego π
Summer I 2024
WLH 2114
TUE & THUR 2:00PM - 4:50PM
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 Jul 2
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MISC Sign Up for EdStem (class discussion board)
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SUR Welcome Survey
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LEC 1 Introduction to Modeling (LIVE)
blank -
MISC Assign study groups
- π Tue Jul 2
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HW Homework 1 Released
- π§βπ« Wed Jul 3
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DISC Groupwork 1 (Discussion Section)
- π Thu Jul 4
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NOCLS πΊπΈπ¦ ππ Happy 4th of July!
Week 2 - Linear Algebra & Linear Regression
π Read Chapter 2, Pages 7-19.
πΏ Watch Owen's Matrix Multiplication Review Pt.1.
πΏ Watch Owen's Matrix Multiplication Review Pt.2.
Week 3 - Multiple Linear Regression, Feature Engineering, & Gradient Descent
π Read Chapter 1, Pages 16-17.
π Read Notes on Convexity.
Week 4 - Probability, Combinatorics, & Independence
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 befor lecture 14, Suraj's combinatoric problems.
πͺ Build intuition for probability.
πͺ Build intuition for conditional probability.
Week 5 - Conditional Independence and NaΓ―ve Bayes
π Read Notes on Conditional Independence.
- π Sun Jul 28
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LEC 16 Independence and Conditional Independence
blank filled recording - π§βπ« Tue Jul 30
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DEMO Demo 4
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HOPS Hands-On Problem Solving 5
- π§βπ« Wed Jul 31
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DISC Groupwork 4 (Discussion Section)
- π§βπ« Thu Aug 1
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LEC 19 Conclusion
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REVW Final Review
- π§βπ« Sat Aug 3
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EXAM Final Exam