Spring 2024 student materials for MATH 108 Foundations of Data Science at CCSF
- Computational and Inferential Thinking: The Foundations of Data Science
- datasciece Documentation
- Jupyter Notebook Documentation
This is the initial planned schedule for the semester, view the actual course schedule in Canvas for more details.
| Module | Module Dates | Lectures | Textbook Section(s) | Discussion | Lab Activity | Homework | Project | Exam |
|---|---|---|---|---|---|---|---|---|
| 01 | January 29 - February 4 | 01 Introduction, 02 Cause and Effect, 03 Expressions | 1.0 - 3.3 | Discussion Worksheet 01: Study Design and Python | Lab 01: Jupyter and Python | Homework 01: Causality and Expressions | ||
| 02 | February 5 - February 11 | 04 Data Types, 05 Sequences, 06 Tables | 4.0 - 5.3, 3.4 | Discussion Worksheet 02: Data Types | Lab 02: Data Types | Homework 02: Arrays and Tables | ||
| 03 | February 12 - February 18 (Includes Holidays) | 07 Building Tables, 08 Charts, 09 Histograms | 6.0 - 7.3 | Discussion Worksheet 03: Visualizing Tabular Data | Lab 03: Visualizations | Homework 03: Visualizations | ||
| 04 | February 19 - February 25 (Includes Holiday) | 10 Functions, 11 Groups, 12 Pivots and Joins | 8.0 - 8.5 | Discussion Worksheet 04: Functions and Aggregation | Lab 04: Functions and Aggregation | Homework 04: Data Analysis | ||
| 05 | February 26 - March 3 | 13 Conditionals and Iteration, 14 Chance | 9.0 - 9.5 | Discussion Worksheet 05: Conditionals, Iteration, and Chance | Lab 05: Conditionals, Iteration, and Chance | Homework 05: Simulation and Chance | Project1: World Population and Poverty | |
| 06 | March 4 - March 10 (Includes FLEX) | 15 Sampling, 16 Distributions | 10.0 - 10.4 | Discussion Worksheet 06: Sampling and Distributions | Project 1: Checkpoint | Homework 06: Sampling | ||
| 07 | March 11 - March 17 | 17 Models, 18 Comparing Distributions, 19 Decisions and Uncertainty | 11.0 - 11.4 | Discussion Worksheet 07: Testing Hypotheses | Lab 06: Testing Hypotheses | Homework 07: Testing Hypotheses | ||
| 08 | March 18 - March 24 | 20 A/B Testing, 21 Causality, 22 Hypothesis Testing Examples | 12.0 - 12.3 | Discussion Worksheet 08: A/B Testing | Lab 07: A/B Testing | Homework 08: A/B Testing | ||
| 09 | March 25 - March 31 | 23 Midterm Review | Project 2: Climate | Midterm | ||||
| 10 | April 1 - April 14 (Includes Spring Break) | 24 Confidence Intervals, 25 Interpreting Confidence, 26 Center and Spread | 13.0 - 13.4 | Discussion Worksheet 09: Interpreting Confidence | Lab 08: Confidence Intervals | Homework 09: Estimation | ||
| 11 | April 15 - April 21 | 27 The Normal Distribution, 28 Sample Means, 29 Designing Experiments | 14.0 - 14.6 | Discussion Worksheet 10: The Central Limit Theorem | Project 2: Checkpoint | Homework 10: Designing Experiments | ||
| 12 | April 22 - April 28 | 30 Correlation, 31 Linear Regression, 32 Least Squares | 15.0 - 15.4 | Discussion Worksheet 11: Correlation and Regression | Lab 09: Linear Regression | Homework 11: Correlation and Regression | Project 3: Movie Classification | |
| 13 | April 29 - May 5 | 33 Residuals, 34 Regression Inference | 15.5 - 16.3 | Discussion Worksheet 12: Residuals | Lab 10: Residuals | Homework 12: Error Analysis | ||
| 14 | May 6 - May 12 | 35 Classification, 36 Classifiers, 37 Updating Predictions | 17.0 - 18.2 | Discussion Worksheet 13: Classification Accuracy | Lab 11: k-NN | Homework 13: Classification | ||
| 15 | May 13 - May 19 | 38 Conclusion, 39 Course Review | Project 3: Checkpoint | |||||
| 16 | May 20 - May 22 | Final |