Data 102: Data, Inference, and Decisions
UC Berkeley, Spring 2024
Alexander StrangInstructor
alexstrang
Ramesh SridharanInstructor
ramesh_s
Week 14
- Lab 11 has been released. It is extra credit, and it is due Sunday, April 21st at 11:59 PM.
- Vitamin 12 is due Sunday, April 21st at 11:59 PM.
Schedule
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
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. Causal Inference I: Association and Causation
- Vitamin Vitamin 7 (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. Causal Inference II: Randomized Experiments
- Mar 13
- Discussion Discussion 7 (Answers)
- Mar 14
- Lecture 17. Causal Inference III: Observational Studies
- Vitamin Vitamin 8 (due Mar 17 11:59 PM)
Week 10: Concentration and Bandits
- Mar 18
- Lab Lab 8: Unconfoundedness (due Mar 20 at 5 PM)
- Mar 19
- Lecture 18. Concentration Inequalities
- Mar 20
- Discussion Discussion 8 (Answers)
- Mar 21
- Lecture 19. Bandits I
- Vitamin Vitamin 9 (due Mar 31 11:59 PM)
- Mar 22
- Homework Homework 5 (due Apr 12 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: Instrumental variable (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)
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. Monte Carlo Tree Search
- Vitamin Vitamin 11 (due Apr 15 11:59 PM)
Week 14: Midterm II and Privacy
- Apr 16
- Midterm Midterm II
- Apr 17
- Lab Lab 11: Reinforcement Learning (due Apr 21 at 11:59 PM)
- Apr 18
- Lecture 24. Privacy in Machine Learning
- Vitamin Vitamin 12 (due Apr 21 11:59 PM)
- Apr 19
- Homework Homework 6 (due Apr 26 at 5 PM)
Week 15: Wrap-Up
- Apr 22
- Lab Lab 12: Differential Privacy (due Apr 24 at 5 PM)
- Apr 23
- Lecture 25. Case Studies: 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