Data 102: Data, Inference, and Decisions
UC Berkeley, Fall 2025
Nivasini AnanthakrishnanInstructor
nivasini
I am a fifth year PhD student working on AI theory. Looking forward to getting to know you all!
Ramesh Sridharanhe/himInstructor
ramesh_s
Schedule
Week 1: Binary Decision-Making
- Aug 28
- Lecture 1 Binary Decision Making I
- Vitamin Vitamin 1 (due Sep 4 at 5:00 PM)
- Aug 29
- Lab Lab 1: Review and Warm-Up (due Sep 3 at 5 PM)
Week 2
- Sep 2
- Lecture 2 Binary Decision Making II
- Sep 3
- Discussion Discussion 1 (Answers)
- Sep 4
- Lecture 3 p-values and Multiple Hypothesis Testing
- Vitamin Vitamin 2 (due Sep 7 at 11:59 PM)
- Sep 5
- Lab Lab 2: Basics of Testing (due Sep 10 at 5 PM)
- Homework Homework 1 (due Sep 19 at 5 PM)
Week 3
- Sep 9
- Lecture 4 False Discovery Rate Control & ROC Curves
- Sep 10
- Discussion Discussion 2
- Sep 11
- Lecture 5 Frequentist vs. Bayesian Decision Making
- Vitamin Vitamin 3 (due Sep 14 at 11:59 PM)
- Sep 12
- Lab Lab 3: Loss and Risk (due Sep 17 at 5 PM)
Week 4: Bayesian Modeling
- Sep 16
- Lecture 6 Introduction to Frequentist and Bayesian Modeling
- Sep 17
- Discussion Discussion 3
- Sep 18
- Lecture 7 Bayesian Hierarchical Models
- Vitamin Vitamin 4 (due Sep 21 at 11:59 PM)
- Sep 19
- Lab Lab 4: Bayesian Estimation in Hierarchical Graphical Models (due Sep 24 at 5 PM)
- Homework Homework 2 (due Oct 03 at 5 PM)
Week 5: Sampling
- Sep 23
- Lecture 8 Bayesian Inference with Sampling
- Sep 24
- Discussion Discussion 4
- Sep 25
- Lecture 9 Rejection Sampling & Gibbs Sampling
- Vitamin Vitamin 5 (due Sep 28 at 11:59 PM)
- Sep 26
- Lab Lab 5: Rejection Sampling, Gibbs Sampling and GLM (due Oct 1 at 5 PM)
Week 6: Generalized Linear Models
- Sep 30
- Lecture 10 Regression and GLMS
- Oct 1
- Discussion Discussion 5
- Oct 2
- Lecture 11 Model Checking for GLMs
- Vitamin Vitamin 6 (due Oct 5 at 11:59 PM)
Week 7: Midterm, GLMs
- Oct 7
- Midterm Midterm I
- Oct 8
- Discussion Discussion cancelled
- Oct 9
- Lecture 12 Uncertainty Quantification for GLMs
- Oct 10
- Lab Lab 6: GLMs and the Bootstrap (due Oct 15 at 5 PM)
- Homework Homework 3 (due Oct 24 at 5 PM)
Week 8: Interpretability
- Oct 14
- Lecture 13 Nonparametric Methods and Interpretability
- Oct 15
- Discussion Discussion 6
- Oct 16
- Lecture 14 Neural Networks and Interpretability
- Vitamin Vitamin 7 (due Oct 19 at 11:59 PM)
- Oct 17
- Lab Lab 7: Nonparametric methods (due Oct 22 at 5 PM)
Week 9: Causal Inference
- Oct 21
- Lecture 15 Casual Inference I: Association and Causation
- Oct 22
- Discussion Discussion 7
- Oct 23
- Lecture 16 Causal Inference II: Randomized Experiments
- Vitamin Vitamin 8 (due Oct 26 at 11:59 PM)
- Oct 24
- Lab Lab 8: Estimating Causal Effects via Instrumental Variables (due Oct 29 at 5 PM)
- Homework Homework 4 (due Nov 7 at 5 PM)
Week 10
- Oct 28
- Lecture 17 Causal Inference III: Observational Studies
- Oct 29
- Discussion Discussion 8
- Oct 30
- Lecture 18 Concentration Inequalities
- Vitamin Vitamin 9 (due Nov 2 at 11:59 PM)
- Oct 31
- Lab Lab 9: Causal Inference with Unconfoundedness (due Nov 5 at 5 PM)
Week 11: Bandits
- Nov 4
- Lecture 19 Bandits I
- Nov 5
- Discussion Discussion 9
- Nov 6
- Lecture 20 Bandits II
- Vitamin Vitamin 10 (due Nov 9 at 11:59 PM)
- Nov 7
- Lab Lab 10: Multi-Armed Bandits (due Nov 12 at PM)
- Homework Homework 5 (due Nov 14 at 5 PM)
Week 12: Reinforcement Learning
- Nov 11
- Holiday: Veterans Day
- Nov 12
- Discussion Discussion 10
- Nov 13
- Lecture 21 Reinforcement Learning I
- Vitamin Vitamin 11 (due Nov 16 at 11:59 PM)
- Nov 14
- Project Project Proposal Due
Week 13: Reinforcement Learning and Midterm 2
- Nov 18
- Lecture 22 Reinforcement Learning II
- Nov 19
- Discussion Midterm 2 Review
- Nov 20
- Midterm Midterm II
- Nov 21
- Lab Lab 11: Reinforcement Learning with Data (due Dec 3 at 5 PM)
Week 14: Conformal Inference and Thanksgiving
- Nov 25
- Lecture 23 Case Studies, Robustness, Generalization
- Nov 26
- Holiday: Thanksgiving Break
- Nov 27
- Holiday: Thanksgiving Break
- Nov 28
- Holiday: Thanksgiving Break
Week 15: Wrap-Up
- Dec 2
- Lecture 24 Bridging Technical & Ethical Perspectives on Modeling and Decisions
- Dec 4
- Lecture 25 Technical & Ethical Perspectives (continued) and Course Wrap-up
- Dec 5
- Project Project Checkpoint 2 Due
Week 16: RRR Week
- Dec 9
- RRR Week
- Dec 11
- RRR Week
Week 17: Finals
- Dec 15
- Project Final Project Due