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Theoretical Foundations of Data Science I

DSC 40A, Spring 2024 at UC San Diego

Suraj Rampure
he/him

rampure@ucsd.edu

Lecture(s): TuTh 12:30-1:50PM (A), 2-3:20PM (B), Center Hall 212

Jump to the current week Assignment Solutions

Take a look at the new Lecture FAQs page on the course website!

Week 1 – Modeling and Loss Functions
πŸ“˜ Read Note 1, Pages 1-12.

Tue Apr 2

LEC 1 Introduction to Modeling
                       

SUR Welcome Survey

Thu Apr 4

LEC 2 Empirical Risk Minimization
                       

EX HW Example Homework (not due!)
                       

Week 2 – Simple Linear Regression
πŸ“˜ Read the spread notes and Note 2, Pages 1-7.

Mon Apr 8

DISC 1 Groupwork 1
                  

Tue Apr 9

LEC 3 Comparing Loss Functions
                       

Thu Apr 11

LEC 4 Simple Linear Regression
                           

HW 1 Homework 1
                     

Week 3 – Regression and Linear Algebra
πŸ“˜ Read Note 2, Pages 7-13 and take a look at the Week 2 Lecture FAQs.

Mon Apr 15

DISC 2 Groupwork 2
                     

Tue Apr 16

LEC 5 Simple Linear Regression, Continued
                         

Thu Apr 18

LEC 6 Dot Products and Projections
                       

HW 2 Homework 2
                     

Week 4 – Multiple Linear Regression
πŸ“˜ Read Note 2, Pages 10-19.

Mon Apr 22

DISC 3 Groupwork 3
                     

Tue Apr 23

LEC 7 Orthogonal Projections
                  

Thu Apr 25

LEC 8 Multiple Linear Regression

Sat Apr 27

HW 3 Homework 3 (note the later deadline!)
                     

Week 5 – Gradient Descent and Convexity
πŸ“˜ Read Note 1, Pages 16-17.

Mon Apr 29

DISC 4 Groupwork 4

Tue Apr 30

LEC 9 Gradient Descent and Convexity

Thu May 2

LEC 10 Gradient Descent in Multiple Dimensions

HW 4 Homework 4

Week 6 – Midterm Exam, Clustering

Mon May 6

DISC 5 Groupwork 5

Tue May 7

EXAM Midterm Exam (in person, during assigned lecture)

Thu May 9

LEC 11 Clustering

HW 5 Homework 5

Week 7 – Probability

Mon May 13

DISC 6 Groupwork 6

Tue May 14

LEC 12 Rules of Probability

Thu May 16

LEC 13 Combinatorics

HW 6 Homework 6

Week 8 – Combinatorics, Independence

Mon May 20

DISC 7 Groupwork 7

Tue May 21

LEC 14 More Combinatorics

Thu May 23

LEC 15 Independence and Bayes' Theorem

HW 7 Homework 7

Week 9 – NaΓ―ve Bayes

Mon May 27

DISC 8 Groupwork 8

Tue May 28

LEC 16 NaΓ―ve Bayes

Thu May 30

LEC 17 NaΓ―ve Bayes, Continued

HW 8 Homework 8

Week 10 – More Classifiers, Conclusion

Mon Jun 3

DISC 9 Groupwork 9

Tue Jun 4

LEC 18 Classification

Thu Jun 6

LEC 19 Review, Conclusion

Sat Jun 8

EXAM Final Exam (8-11AM, in person, location TBD)