CSS 2 Schedule#
Note that this schedule is aspirational and is therefore subject to change.
Date |
Topics |
Assignment due |
Notes |
Reading |
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Week 1 |
Introduction, Ethics |
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M-01-08-2024 |
Introduction |
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W-01-10-2024 |
Ethics: Bias and Fairness |
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F-01-12-2024 |
Ethics: Privacy, CSS for Social Good |
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Week 2 |
Python Review |
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M-01-15-2024 |
Holiday (MLK, Jr. Day) |
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W-01-17-2024 |
Python review: Fundamentals |
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F-01-19-2024 |
Python review: |
Lab 1 due |
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Week 3 |
Data Visualization |
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M-01-22-2024 |
Data visualization ( |
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W-01-24-2024 |
Data visualization ( |
PS 1 due |
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F-01-26-2024 |
Data visualization ( |
Lab 2 due |
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Week 4 |
Working with Data |
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M-01-29-2024 |
Data visualization (principles) (Remote, pre-recorded lecture) |
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W-01-31-2024 |
Data wrangling, “tidy” data |
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F-02-02-2024 |
Data wrangling, “tidy” data” |
Lab 3 due |
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Week 5 |
Describing Data |
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M-02-05-2024 |
Descriptive statistics, data transformations |
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W-02-07-2024 |
Descriptive statistics, data transformations |
PS 2 due |
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F-02-09-2024 |
Introduction to statistical modeling |
Lab 4 due |
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Week 6 |
Linear regression |
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M-02-12-2024 |
Linear regression: basics |
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W-02-14-2024 |
Linear regression: heteroscedasticity, residuals |
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F-02-16-2024 |
Linear regression: heteroscedasticity, residuals |
Lab 5 due |
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Week 7 |
Multiple regression |
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M-02-19-2024 |
Holiday (President’s Day) |
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W-02-21-2024 |
No class |
PS 3 due |
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F-02-23-2024 |
Multiple regression |
Project proposal due |
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Week 8 |
Regression, generalized |
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M-02-26-2024 |
Multiple regression, continued |
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W-02-28-2024 |
Non-linear regression |
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F-03-01-2024 |
Overfitting; cross-validation |
Lab 6 due |
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Week 9 |
Classification |
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M-03-04-2024 |
Logistic regression; Type 1 vs. Type 2 |
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W-03-06-2024 |
Evaluation using ROC Curve, AIC, Confusion Matrix |
PS 4 due |
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F-03-08-2024 |
Evaluation, continued |
Lab 7 due |
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Week 10 |
*Unsupervised approaches |
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M-03-11-2024 |
K-means clustering |
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W-03-13-2024 |
K-means clustering |
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F-03-15-2024 |
Wrap-up, final project work |
Lab 8 due |
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Finals week |
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M-03-18-2024 |
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W-03-20-2024 |
Final project due |
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F-03-22-2024 |