Below is the schedule for the semester. You can find the materials for each course meeting under the “Content” links for that week. You should generally:
- watch the lecture videos (if any) and complete the readings by Monday;
- complete the tutorials by Monday evening at 11:59pm; and
- submit the problem set or exam by Wednesday at 11:59pm.
Here’s a guide to the schedule:
- Materials (): This page contains the readings, slides, and recorded lectures (if any) for the topic. Read/watch these first.
- Tutorial (): A link to the tutorial for that week.
- Assignment (): This page contains the instructions for each assignment. Assignments are due by 11:59 PM on the day they’re listed.
The readings refer to following texts:
|
Date
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Title
|
Reading
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Materials
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Tutorial
|
Assignment
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Week 0
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September 1
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Introduction to the course
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Week 1
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September 6
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R, Rstudio, and data visualization
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MD Ch 1-2
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September 7
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Tutorial 1 (submit by 23:59:00)
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September 8
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Data visualization
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Week 2
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September 12
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Tutorial 2 (submit by 23:59:00)
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September 13
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Data wrangling
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MD Ch 3
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September 14
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Problem Set 1 (submit by 23:59:00)
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September 15
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Data wrangling
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Week 3
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September 19
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Tutorial 3 (submit by 23:59:00)
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September 20
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Causal inference and randomized experiments
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QSS Ch 2.1-2.5
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September 21
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Problem Set 2 (submit by 23:59:00)
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September 22
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Causal inference and observational studies
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Week 4
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September 26
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Tutorial 4 (submit by 23:59:00)
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September 27
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Summarizing data
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QSS Ch 2.6-3.4
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September 28
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Problem Set 3 (submit by 23:59:00)
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September 29
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Survey sampling
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Week 5
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October 3
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Tutorial 5 (submit by 23:59:00)
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October 4
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Summarizing relationships in our data
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QSS Ch 3.5-3.6
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October 5
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Problem Set 4 (submit by 23:59:00)
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October 6
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Importing and joining data
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MD Ch 4
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Week 6
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October 11
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Prediction & Iteration
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QSS 4.1 (except 4.1.2)
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October 12
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Tutorial 6 (submit by 23:59:00)
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October 13
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Regression
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MD Ch 5 or QSS 4.2 (except 4.2.5)
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October 13–October 16
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Exam 1 (submit by 23:59:00)
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Week 7
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October 18
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Multiple regression
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MD Ch 6.1-6.2 or QSS 4.3.1-4.3.2
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October 20
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Interpreting regression
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October 21
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Final Project Milestone 1 (submit by 23:59:00)
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Week 8
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October 24
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Tutorial 7 (submit by 23:59:00)
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October 25
|
Sampling
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MD Ch 7
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October 26
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Problem Set 5 (submit by 23:59:00)
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October 27
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Sampling distributions
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October 28
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Final Project Milestone 2 (submit by 23:59:00)
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Week 9
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October 31
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Tutorial 8 (submit by 23:59:00)
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November 1
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The bootstrap and confidence intervals
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MD Ch 8/IMS Ch 12
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November 2
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Problem Set 6 (submit by 23:59:00)
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November 3
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The bootstrap and confidence intervals
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Week 10
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November 8
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Hypothesis testing
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MD Ch 9/IMS Ch 11
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November 9
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Problem Set 7 (submit by 23:59:00)
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November 10
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Hypothesis testing
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November 11
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Final Project Milestone 3 (submit by 23:59:00)
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Week 11
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November 15
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Hypothesis testing
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November 16
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Problem Set 8 (submit by 23:59:00)
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November 17
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Mathematical models of uncertainty
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IMS Ch 13
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November 18
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Final Project Milestone 4 (submit by 23:59:00)
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Week 12
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November 22
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Mathematical models of uncertainty
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Week 13
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November 29
|
Uncertainty in regression
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QSS Ch 7.3
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December 1
|
Review Session with TFs
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December 1–December 4
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Exam 2 (submit by 23:59:00)
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Week 14
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December 14
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Final Project due (submit by 23:59:00)
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