Theoretical Foundations of Data Science I
DSC 40A, Spring 2025 at UC San Diego π
Spring 2025
SOLIS 104
TUE & THUR 5:00PM - 6:20PM
Week 1 - Modeling, Loss Functions, & Simple Linear Regression
π Read Chapter 1, Pages 1-12.
πΏ Watch Ahmed's Calc Review.
- π§βπ« Mon Mar 31
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DISC No Section
- π§βπ« Tue Apr 1
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SUR Welcome Survey
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MISC Assign study groups
- π§βπ« Thu Apr 3
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HW Homework 1 Released (check Gradescope for due date)
problems template
Week 2 - Loss Functions & Simple Linear Regression
π Read Chapter 2, Pages 1-7.
π Read the spread notes.
Week 3 - Linear Algebra & Regression
πΏ Watch Owen's Matrix Multiplication Review Pt.1.
πΏ Watch Owen's Matrix Multiplication Review Pt.2.
- π§βπ« Mon Apr 14
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DISC Groupwork 1 Review + MSE vs MAE
walkthrough - π§βπ« Tue Apr 15
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DEMO Simple Linear Regression + Huber Loss
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LEC 5 Simple Linear Regression, Continued
blank filled recording - π§βπ« Thu Apr 17
Week 4 - Linear Algebra & Regression
- π§βπ« Mon Apr 21
- π§βπ« Tue Apr 22
- π§βπ« Thu Apr 24
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HOPS 6 Regression in the Real World
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DEMO Demo 2 - Interaction Terms
Week 5 - Multiple Linear Regression & Feature Engineering
- π§βπ« Mon Apr 28
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DISC Groupwork 3
- π§βπ« Tue Apr 29
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HOPS 7 Feature Engineering + Normal Equations additional code
- π§βπ« Thu May 1
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LEC 10 Feature Engineering, Gradient Descent
blank filled recording -
DEMO Loss Surface Navigation + Regularization
Week 6 - Gradient Descent
π Read Chapter 1, Pages 16-17.
π Read Notes on Convexity.
- π§βπ« Mon May 5
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DISC Midterm Review
- π§βπ« Tue May 6
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HOPS 8 Gradient Descent
- π§βπ« Thu May 8
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EXAM Midterm Exam
study guide