ccsf-math-108 / materials-sp24

Student materials for MATH 108: Foundations of Data Science
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Spring 2024 Student Materials

Spring 2024 student materials for MATH 108 Foundations of Data Science at CCSF

General Schedule

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