IT 223
Fall 2026
Craig Miller
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- Basic Information
- Grades and Policies
- Schedule
| Week | Topic | Reading | Assignment |
|---|---|---|---|
| Sep 10 | Course overview, statistics and sampling, R intro | Ch. 1 | No assignment |
| Sep 15 & 17 | Histograms, Outliers, Density Curves, Variation, R continued | Ch. 2 | Assn 1 |
| Sep 22 & 24 | Variation continued, Empirical Rule, Scatterplots | Ch. 2 | Assn 2 |
| S/O 29 & 1 | Correlation and Regression | Ch. 12 | Quiz 1 (Tuesday); Assn 3 |
| Oct 6 & 8 | Causation, Principles in Study Design | Course notes | Assn 4 |
| Oct 13 & 15 | Intro probability | Ch. 3 | Midterm (Thursday) |
| Oct 20 & 22 | Probability, random variables | Ch. 3, 4 | Assn 5 |
| Oct 27 & 29 | Distributions | Ch. 5, 6 | Assn 6 |
| Nov 3 & 5 | Central limit theorem, Confidence intervals | Ch. 7, 8 | Assn 7 |
| Nov 10 & 12 | Hypothesis testing | Ch. 9, 10 | Quiz 2 (Tuesday); Assn 8 |
| Nov 17 | Multiple regression; review | Notes | Assn 9 |
| Nov 24 | Final Exam (Tuesday) |
Final exam is Tuesday November 24 from 11:30am to 1:45pm in the regular classroom.