Schedule

This schedule is subject to change. Check back here for the latest version.

Week 1

  • M 1/9 - Course Introduction
  • W 1/11 - Intro to Data
  • F 1/13 - Numerical Data (Reading: §1.1-1.3) - Reading #1 Due

Week 2

  • M 1/16 - MLK Day - No Class
  • W 1/18 - Categorical Data (Reading: §1.4) - Bookmark #1 Due, Reading #2 Due
  • F 1/20 - Data Visualization (Reading: None)

Week 3

Week 4

Week 5

Week 6

  • M 2/13 - Normal Distributions - Reading #9 Due
  • W 2/15 - Midterm Exam 1
  • F 2/17 - Probability Plots (Reading: §3.2)

Week 7

Week 8

Week 9

  • M 3/5 - Spring Break - No Class
  • W 3/7 - Spring Break - No Class
  • F 3/9 - Spring Break - No Class

Week 10

  • M 3/12 - More Hypothesis Testing
  • W 3/14 - The Central Limit Theorem (Reading: §4.3.4-4.4) - Reading #13 Due
  • F 3/16 - Preview of Chapters 5 and 6

Week 11

Week 12

  • M 3/26 - More Least Squares - Application Project Proposals Due
  • W 3/28 - Midterm Exam 2
  • F 3/30 - Inference for Linear Regression (Reading: §7.3-7.4)

Week 13

Week 14

  • M 4/9 - Margins of Error; Infographics
  • W 4/11 - Hypothesis Tests for Proportions; Infographics - Problem Set 5 Due
  • F 4/13 - Small Samples, Population Mean (Reading: §6.1) - Reading #18 Due

Week 15

  • M 4/16 - Small Samples, Difference of Means (Reading: §6.2) - Reading #19 Due
  • W 4/18 - Special Topics & Course Evaluations - Problem Set 6 Due
  • F 4/20 - Machine Learning - Guest Speaker: Doug Fisher, Computer Science Department

Week 16

  • M 4/23 - Last Day of Class - Application Projects Due

Finals

  • F 4/27 - Alternate Final Exam, 12-2pm
  • Th 5/3 - Final Exam, 3-5pm

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