Fall 2023 student course materials for MATH 108 Foundations of Data Science at CCSF
| Module | Module Dates | Lectures | Textbook Section(s) | Lab Activity | Homework | Project | Exam |
|---|---|---|---|---|---|---|---|
| 01 | August 28 - September 3 (Includes Holiday) | Introduction, Cause and Effect, Expressions | 1.0 - 3.3 | Lab 01: Jupyter and Python | Homework 01: Causality and Expressions | ||
| 02 | September 4 - September 10 (Includes Holiday) | Data Types, Sequences | 4.0 - 5.3 | Lab 02: Data Types | Homework 02: Data Types | ||
| 03 | September 11 - September 17 | Tables, Building Tables, Census | 3.4, 6.0 - 6.4 | Lab 03: Tables | Homework 03: Tables | ||
| 04 | September 18 - September 24 | Charts, Histograms | 7.0 - 7.3 | Lab 04: Visualizations | Homework 04: Visualizations | ||
| 05 | September 25 - October 1 | Functions, Groups, Pivots and Joins | 8.0 - 8.5 | Lab 05: Functions and Aggregation | Homework 05: Data Analysis | Project 1: World Population and Poverty | |
| 06 | October 2 - October 8 | Conditionals and Iteration, Chance, Sampling | 9.0 - 9.5, 10.0 | Project 1: Checkpoint | Homework 06: Iteration and Chance | ||
| 07 | October 9 - October 15 (Includes FLEX) | Distributions | 10.1 - 10.4 | Lab 06: Simulation and Chance | Homework 07: Simulation | ||
| 08 | October 16 - October 22 | Table Examples, Midterm Review | Midterm | ||||
| 09 | October 23 - October 29 | Models, Comparing Distributions, Decisions and Uncertainty | 11.0 - 11.4 | Lab 07: Testing Hypotheses | Homework 08: Testing Hypotheses | ||
| 10 | October 30 - November 5 | A/B Testing, Causality, Hypothesis Testing Examples | 12.0 - 12.3 | Lab 08: A/B Testing | Homework 09: A/B Testing | ||
| 11 | November 6 - November 12 (Includes Holiday) | Confidence Intervals, Interpreting Confidence, Center and Spread | 13.0 - 13.4 | Project 2: Checkpoint | Homework 10: Confidence Intervals | Project 2: Climate | |
| 12 | November 13 - November 19 | The Normal Distribution, Sample Means, Designing Experiments | 14.0 - 14.6 | Lab 09: Normal Distribution and Variability of Sample Means | Homework 11: Designing Experiments | ||
| 13 | November 20 - November 26 (Includes Holiday) | Correlation, Linear Regression, Least Squares | 15.0 - 15.4 | ||||
| 14 | November 27 - December 3 | Residuals, Regression Inference | 15.5 - 16.3 | Lab 10: Linear Regression | Homework 12: Correlation and Regression | Project 3: Movie Classification | |
| 15 | December 4 - December 10 | Classification, Classifiers, Updating Predictions | 17.0 - 18.2 | Project 3: Checkpoint | Homework 13: Classification | ||
| 16 | December 11 - December 17 | Conclusion, Course Review | |||||
| 17 | December 18 - December 19 | Final |