# Calendar

## Week 1

## Week 2

## Week 3

## Week 4

## Week 5

## Week 6

## Week 7

## Week 8

- Mar 7
- Lecture 14: Case Study: AI Forecasting Pt. 1
- Slides / HW8 (due 03/14)

- Mar 9
- Lecture 15: Case Study: AI Forecasting Pt. 2
- Slides (same as previous)

- Mar 11
- Discussion 8
- Discussion Worksheet

## Week 9

## Week 10

- Mar 21
- Spring Recess

- Mar 23
- Spring Recess

- Mar 25
- Spring Recess

## Week 11

## Week 12

- Apr 4
- Lecture 20: Statistical Street Fighting III: Regression to the Mean and Selection of Range
- Slides / HW 11 (due 04/11)

- Apr 6
- Lecture 21: Forecasting and Decision-Making

- Apr 8
- Discussion 11
- Discussion Worksheet

## Week 13

- Apr 11
- Lecture 22: Guest Lecture: Pandemic Forecasting (Juan Cambeiro)
- HW 12 (due 4/18) (last homework!)

- Apr 13
- Lecture 23: Guest Lecture: Information Sources (Carolyn Meinel)
- Slides

- April 15
- Discussion 12
- Discussion Worksheet

## Week 14

- Apr 18
- Lecture 24: Guest Lecture: Election Forecasting (David Shor)

- Apr 20
- Lecture 25: Independence Assumptions

- Apr 22
- Discussion 13
- Discussion Worksheet

## Week 14

- Apr 25
- Lecture 24: Predictions and Markets
- Slides

- Apr 27
- Lecture 25: Project Presentations

- Apr 29
- Discussion 14: Project Presentations