Data 102: Data, Inference, and Decisions

UC Berkeley, Spring 2024

Alexander Strang

Alexander StrangInstructor

alexstrang

Ramesh Sridharan

Ramesh SridharanInstructor

ramesh_s

Week 7

Feb 26
  • Midterm 1 is this Tuesday in Pimentel 1 from 7 PM - 9 PM. Please see #245 and #246 for details.
  • Monday‚Äôs lab sections will be replaced with office hours and review sessions. See the calendar.

Schedule

Jump to current week

Week 1: Binary Decisions

Jan 16
Lecture 1. Binary Decision-Making I
Jan 18
Lecture 2. Binary Decision-Making II
Vitamin Vitamin 1 (due Jan 21 at 11:59 PM)
Jan 19
Homework Homework 1 (due Feb 2 at 5 PM)

Week 2: Multiple Testing

Jan 22
Lab Lab 1: Review and Warm-Up (due Jan 24 at 5 PM)
Jan 23
Lecture 3. \(p\)-Values and Multiple Hypothesis Testing
Jan 24
Discussion Discussion 1 (Answers)
Jan 25
Lecture 4. False Discovery Rate Control & ROC Curves
Vitamin Vitamin 2 (due Jan 28 at 11:59 PM)

Week 3: The Bayesian Framework

Jan 29
Lab Lab 2: Testing (due Jan 31 at 5 PM)
Jan 30
Lecture 5. Frequentist vs. Bayesian Decision-Making
Jan 31
Discussion Discussion 2 (Answers)
Feb 1
Lecture 6. Introduction to Frequentist and Bayesian Modeling
Vitamin Vitamin 3 (due Feb 4 at 11:59 PM)
Feb 2
Homework Homework 2 (due Feb 16 at 5 PM)

Week 4: Graphical Models and Sampling

Feb 5
Lab Lab 3: Loss and Risk (due Feb 7 at 5 PM)
Feb 6
Lecture 7. Bayesian Hierarchical Models
Feb 7
Discussion Discussion 3 (Answers)
Feb 8
Lecture 8. Bayesian Inference with Sampling
Vitamin Vitamin 4 (due Feb 11 at 11:59 PM)

Week 5: Sampling and Generalized Linear Models

Feb 12
Lab Lab 4: Graphical Models (due Feb 14 at 5 PM)
Feb 13
Lecture 9. Rejection Sampling and Gibbs Sampling
Feb 14
Discussion Discussion 4 (Answers)
Feb 15
Lecture 10. Regression and GLMs
Vitamin Vitamin 5 (due Feb 18 at 11:59 PM)

Week 6: Generalized Linear Models

Feb 19
Lab Lab 5: Sampling & GLMs (due Feb 23 at 5 PM)
Feb 20
Lecture 11. Model Checking for GLMs
Feb 21
Discussion Discussion 5 (Answers)
Feb 22
Lecture 12. Uncertainty Quantification for GLMs
Vitamin Vitamin 6 (due Feb 25 at 11:59 PM)
Feb 23
Homework Homework 3 (due 8 Mar at 5 PM)

Week 7: Nonparametric Methods

Feb 26
Review Session Slides
Feb 27
Midterm Midterm I
Feb 29
Lecture 13. Nonparametric Methods and Neural Networks
Vitamin Vitamin 7 (due Mar 3 11:59 PM)

Week 8: Neural Networks and Causal Inference

Mar 4
Lab Lab 6: GLMs and the Bootstrap (due Mar 6 at 5 PM)
Mar 5
Lecture 14. Neural Networks and Interpretability
Mar 6
Discussion Discussion 6 (Answers)
Mar 7
Lecture 15. Association and Causation
Vitamin Vitamin 8 (due Mar 10 11:59 PM)
Mar 8
Homework Homework 4 (due Mar 22 at 5 PM)

Week 9: Causal Inference

Mar 11
Lab Lab 7: Nonparametric Methods (due Mar 13 at 5 PM)
Mar 12
Lecture 16. Randomized Experiments
Mar 13
Discussion Discussion 7 (Answers)
Mar 14
Lecture 17. Observational Studies
Vitamin Vitamin 9 (due Mar 17 11:59 PM)

Week 10: Concentration and Bandits

Mar 18
Lab Lab 8: Instrumental Variables (due Mar 20 at 5 PM)
Mar 19
Lecture 18. Concentration Inequalities
Mar 20
Discussion Discussion 8 (Answers)
Mar 21
Lecture 19. Bandits I
Mar 22
Homework Homework 5 (due Apr 5 at 5 PM)

Week 11: Spring Break

Mar 26
Spring Break
Mar 28
Spring Break

Week 12: Bandits and Reinforcement Learning

Apr 1
Lab Lab 9: Unconfoundedness (due Apr 3 at 5 PM)
Apr 2
Lecture 20. Bandits II
Apr 3
Discussion Discussion 9 (Answers)
Apr 4
Lecture 21. Reinforcement Learning I
Vitamin Vitamin 10 (due Apr 7 11:59 PM)
Apr 5
Homework Homework 6 (due Apr 26 at 5 PM)

Week 13: Reinforcement Learning

Apr 8
Lab Lab 10: Bandits (due Apr 10 at 5 PM)
Apr 9
Lecture 22. Reinforcement Learning II
Apr 10
Discussion Discussion 10 (Answers)
Apr 11
Lecture 23. Bayesian Optimization
Vitamin Vitamin 11 (due Apr 14 11:59 PM)

Week 14: Regression and Privacy

Apr 15
Lab Lab 11: Reinforcement Learning (due Apr 17 at 5 PM)
Apr 16
Midterm Midterm II
Apr 18
Lecture 24. Differential Privacy
Vitamin Vitamin 12 (due Apr 21 11:59 PM)

Week 15: Wrap-Up

Apr 22
Lab Lab 12: Differential Privacy (due Apr 24 at 5 PM)
Apr 23
Lecture 25. Robustness and Generalization
Apr 24
Discussion Discussion 11 (Answers)
Apr 25
Lecture 26. Course Wrap-Up

Week 16: RRR Week

Apr 30
RRR Week
May 3
RRR Week

Week 17: Finals

May 7
Finals Week
May 9
Finals Week