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Course Materials

Syllabus
Schedule
Office Hours and Help Room
Software Setup Guide
Generative AI Policy
CLI (Unix/Mac/Linux) commands cheat sheet
Bash vs PowerShell
Git Cheat Sheet
How to Access “Anaconda Powershell Prompt” (for Windows users)
Making and merging Pull Requests on GitHub

Semester Project

Semester Project Details
Semester Project Requirements and Grading Rubric

Exams

Midterm Study Guide
Exam II Study Guide

Daily Content

Day 1
- In-class Notebook: Welcome to CMSE202
Day 2
- Pre-Class Assignment: Reflection and an introduction to the Command Line Interface (CLI)
- In-class Notebook: Command line interface
Day 3
- Pre-Class Assignment: Python Review and Intro to Git
- In-Class Assignment: Practice with Git and GitHub
Day 4
- Pre-class Assignment: Python Packages
- In-class Assignment: Installing Python Packages and Plotting with Maps in Python
Day 5
- Pre-Class Assignment: Pandas Review
- In-Class Assignment: Reviewing Pandas and exploring data
Day 6
- Pre-class Assignment: Introduction to Object Oriented Programming (OOP)
- In-class Assignment: We have a Zoo!
Day 7
- Pre-class Assignment: object inheritance and composition
- In-class Assignment: We have a Zoo! (part 2)
Day 8
- Pre-Class Assignment: Agent-based Modeling of Superbugs
- In-Class Assignment: Simulating Superbugs using agent-based modeling
Day 9
- Pre-Class Assignment: Reviewing another agent-based model built using Object Oriented Programming (OOP)
- In-Class Assignment: Agent Based Modeling of Superbugs (part 2)
Day 10
- Pre-Class Assignment: Conflicts in Git and Graph Theory
- In-Class Assignment: Graph Theory
Day 11
- Pre-class Assignment: Project Brainstorming & Graph Theory and Cell Towers
- In-class Assignment: Graph Theory and Cell Towers
Day 12
- In-Class Assignment: Reviewing Project Ideas
Day 13
- Pre-Class Assignment: Regression
- In-Class Assignment: Linear Regression
Day 14
- Pre-Class Assignment: Polynomial Regression
- In-Class Assignment: Multiple Regression
Day 15
- Pre-class Assignment: Intro to Machine Learning
- In-Class Assignment: Machine Learning; classification with logistic regression
Day 16
- Pre-Class Assignment: Git with it! (collaborating with Git)
- In-Class Assignment: Collaborating with Git
Day 17
- Pre-Class Assignment: Revisiting generative AI and reflecting on group work experiences
- In-Class Assignment: Revisiting Generative AI and Project Planning
Day 18
- Pre-class Assignment: The Perceptron Classifier (a simple neural network)
- In-Class Assignment: The Perceptron Classifier
Day 19
- In-Class Challenge Assignment: Experimenting with the Perceptron
Day 20
- Pre-Class Assignment: Support Vector Machines (SVMs)
- In-Class Assignment: Machine learning with an SVM Classifier
Day 21
- Pre-Class Assignment: Further exploration of SVMs
- In-Class Assignment: SVMs continued
Day 22
- Pre-Class Assignment: Project updates!
Day 23
- Pre-Class Assignment: Principal Component Analysis
- In-Class Assignment: Principal Component Analysis (PCA)

Homework

Homework 1
Homework 2 Part 1
Homework 2 Part 2
Homework Assignment 3
Homework 4

.md

Day 15

Day 15#

This section contains the course materials for day 15.

Day-15_Pre-Class_MachineLearningIntro-STUDENT.ipynb

Day-15_In-Class_ML-LogisticRegression-STUDENT.ipynb

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In-Class Assignment: Multiple Regression

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Pre-class Assignment: Intro to Machine Learning

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