Data 102: Data, Inference, and Decisions

UC Berkeley, Fall 2023

Aditya Guntuboyina

Aditya Guntuboyina

aditya@stat.berkeley.edu

Ramesh Sridharan

Ramesh Sridharan

ramesh_s@berkeley.edu

Week 17

Dec 11
  • Final Project is due Monday, 12/11.
  • Group Member Evaluation is due Friday, 12/15.

Schedule

Jump to current week

Week 1: Introductions

Aug 24
Lecture 1 Course Overview
Vitamin Vitamin 1 (due Aug 27 Aug 28)

Week 2: Decisions I

Aug 28
Lab 0 Review and Warm-up (due Aug 30)
Aug 29
Lecture 2 Binary Decision-Making
Aug 30
Discussion Discussion 1
Solution
Aug 31
Lecture 3 \(p\)-Values and Multiple Hypothesis Testing
Vitamin Vitamin 2 (due Sep 3)
Sep 1
Homework Homework 1 (PDF) (due Sep 15 5 PM)

Week 3: Decisions II

Sep 4
Lab 1 Basics of Testing (due Sep 6 Sep 8)
Sep 5
Lecture 4 Online False Discovery Rate Control & ROC curves
Sep 6
Discussion Discussion 2
Solution
Sep 7
Lecture 5 Frequentist vs. Bayesian Decision-Making
Vitamin Vitamin 3 (due Sep 10)

Week 4: Bayesian Modeling I

Sep 11
Lab 2 Loss and Risk (due Sep 13)
Sep 12
Lecture 6 Overview of Bayesian Modeling
Sep 13
Discussion Discussion 3
Solutions
Sep 14
Lecture 7 Beta-Binomial Inference
Vitamin Vitamin 4 (due Sep 17)
Sep 15
Homework Homework 2 (PDF) (due Sep 29 5 PM)

Week 5: Bayesian Modeling II

Sep 18
Lab 3 Bayesian Estimation in Hierarchical Graphical Models (due Sep 20)
Sep 19
Lecture 8 Graphical Models, PyMC
Sep 20
Discussion Discussion 4
Solution
Sep 21
Lecture 9 More PyMC, Rejection Sampling
Vitamin Vitamin 5 (due Sep 24)

Week 6: GLM I

Sep 25
Lab 4 Rejection Sampling, More PyMC (due Sep 27)
Sep 26
Lecture 10 Gibbs Sampling, Linear Regression
Sep 27
Discussion Discussion 5
Solution
Sep 28
Lecture 11 Generalized Linear Models
Vitamin Vitamin 6 (due Oct 1)

Week 7: GLM II

Oct 2
Lab 5 Gibbs Sampling and GLM (due Oct 4)
Oct 3
Lecture 12 Model Selection and Model Checking for GLMs
Oct 4
Discussion Discussion 6
Solution
Oct 5
Midterm Midterm 1 (7-9 PM)
Oct 6
Homework Homework 3 (PDF) (due Oct 20)

Week 8: Machine Learning

Oct 9
Lab 6 Model Selection and Uncertainty Quantification with GLMs (due Oct 11)
Oct 10
Lecture 13 Nonparametric Methods
Oct 11
Discussion Discussion 7
Solutions
Oct 12
Lecture 14 Neural Networks
Vitamin Vitamin 7 (due Oct 15)

Week 9: Causal Inference I

Oct 16
Lab 7 Nonparametric Methods (due Oct 18)
Oct 17
Lecture 15 Causal Inference 1: Association and Causation
Oct 18
Discussion Discussion 8
Solutions
Oct 19
Lecture 16 Causal Inference 2: Randomized Experiments
Vitamin Vitamin 8 (due Oct 22)
Oct 20
Homework Homework 4 (PDF) (due Nov 3)

Week 10: Causal Inference II

Oct 23
Lab 8 Causal Inference via Instrumental Variables (due Oct 25)
Oct 24
Lecture 17 Causal Inference 3: Observational Studies
Oct 25
Discussion Discussion 9
Solution
Oct 26
Lecture 18 Concentration Inequalities
Vitamin Vitamin 9 (due Oct 29)

Week 11: Bandits

Oct 30
Lab 9 Causal Inference via Unconfoundedness (due Nov 1)
Oct 31
Lecture 19 Bandits I
Project Final Project Release
Guidelines, Grading Rubrics
Nov 1
Discussion Discussion 10
Solution
Nov 2
Lecture 20 Bandits II
Vitamin Vitamin 10 (due Nov 5)
Nov 3
Homework Homework 5 (PDF) (Optional, not due Nov 10)

Week 12: Reinforcement Learning

Nov 6
Lab 10 Bandits (due Nov 8)
Nov 7
Lecture 21 Reinforcement Learning I
Nov 8
Discussion Discussion 11
Solution
Nov 9
Lecture 22 Reinforcement Learning II
Vitamin Vitamin 11 (due Nov 12)
Nov 10
Project Project Proposal Due

Week 13: Regression revisited

Nov 14
Midterm Midterm 2 (7-9 PM)
Reference Sheet
Nov 16
Lecture 23 High-dimensional regression
Vitamin Vitamin 12 (due Nov 19)
Nov 17
Homework Homework 6 (Corrected PDF) (due Dec 1)

Week 14: Privacy

Nov 20
Lab 11 Reinforcement Learning (due Nov 22)
Nov 21
Lecture 24 Differential Privacy
Nov 23
Thanksgiving

Week 15: Wrap-Up

Nov 27
Lab 12 Differential Privacy (due Nov 29)
Nov 28
Lecture 25 Case Studies: Robustness and generalization
Nov 29
Discussion Discussion 12
Solution
Project Project Checkpoint 1 Due
Nov 30
Lecture 26 Course Wrap-Up
Vitamin Vitamin 13 (due Dec 3)

Week 16: RRR Week

Dec 4
Office Hour
Dec 5
Office Hour
Project Project Checkpoint 2 Due
Dec 6
Office Hour
Dec 7
Office Hour

Week 17: Finals Week

Dec 11
Project Project Writeup Due
Dec 15
Project Group Member Evaluation Due