Schedule

Fall 2026

Class Time and Location

When: Tuesdays, 6:30 PM - 9:15 PM
Where: Richter Math-Engineering Room 103

Course Schedule

The content below includes what we will be teaching throughout the semester and is subject to change to meet the learning goals of the class. Check this website regularly for the latest schedule and for course materials that will be posted here through links on the schedule. Please refer to the table below for topics, assignments, and readings for each session. This schedule is designed to guide you through the key concepts and practical skills required for machine learning course. Note that:

Slides for each session will be posted after class and can be accessed via the links.
Description includes but not limited to the topics that will be covered in class.
Assignments are due as indicated; late submissions may not be accepted unless prior arrangements are made.
Readings include both textbook chapters and selected online resources to supplement the learning process.
Important dates such as presentations, exams, and breaks are highlighted for convenience.

The textbook and/or other recommended readings can be found in the Syllabus. Additionally, office hours and contact information for the class instructor are provided in the Instructor page. Coding Examples for each week can be found in the Supplementary Materials section.

Week	Date	Description	Coursework	Readings
		Module 1: Introduction to Artificial Intelligence
1	Aug 21 [slides]	Course Overview Introduction to AI & Machine Learning Machine Learning History Major Branches of Machine Learning	Discussion (self-introduction)	Examples Link to Reading Link to Reading HML Ch. 1.4
		Module 2: Classification and Regression
2	Aug 28 [slides]	Introduction to Multiclass Classification Decision Trees for Classification (DTs) k-Nearest Neighbors (kNN) Hands-on Practice	Recap Practice Assign HW#1	Examples Link to Reading Link to Reading Link to Reading
3	Sep 4 [slides]	Naïve Bayes Classifier Support Vector Machine (SVM) Evaluation of Classifiers: Cross-Validation Quiz#1 Handout	HW#1 DUE Recap Practice Assign HW#2	Examples Link to Reading PML Ch. 3
4	Sep 11 [slides]	One-vs-All Multiclass Classification Classifier Confidence and Estimation Ensemble Learning Quiz#2 Handout	HW#2 DUE Recap Practice Assign HW#3	Examples Link to Reading Link to Reading Worksheet
5	Sep 18 [slides]	Introduction to Regression Models Linear Regression and Logistic Regression Comparing Regression and Classification Quiz#3 Handout	HW#3 DUE Recap Practice Assign HW#4	Examples Link to Reading Link to Reading HML Ch. 4
		Module 3: Dimensionality Reduction and Clustering
6	Sep 25 [slides]	Natural Language Processing and Computer Vision Feature Representation and Scaling Introduction to Principal Component Analysis (PCA) Coding Quiz I Review and Mid-term Exam Q&A	Recap Practice HW#4 DUE	Examples Link to Reading Link to Video Worksheet
7	Oct 2	Coding Quiz I	Hybrid Mode	Closed-Book
8	Oct 9	Mid-term Exam	Lockdown Browser	Closed-Book
9	Oct 14	Mid-Semester Break	None	Fall Break E-card
		Module 4: Introduction to Deep Learning
9	Oct 16 [slides]	Machine Learning as Function Approximation Biological Neurons vs. Artificial Neurons Introduction to Perceptron and Adaline Student Presentation	Recap Practice Assign Proposal Assign HW#5	Examples Link to Reading Link to Reading Link to Video
10	Oct 23 [slides]	Introduction to Neural Network Forward Propagation Backpropagation Student Presentation	HW#5 DUE Recap Practice Assign HW#6	Examples Link to Reading Link to Video Link to Video
11	Oct 30 [slides]	Challenges in Machine Learning Tools Used to Implement Deep Learning Models Introduction to Open-source Frameworks Coding Quiz II Review and Final Exam Q&A	HW#6 DUE Recap	Resources Link to Reading Link to Reading Worksheet
12	Nov 6	Coding Quiz II	Hybrid Mode	Closed-Book
		Module 5: Responsible AI and AI Ethics
13	Nov 13 [slides]	Social Impacts of AI Transparency, Accountability, and Fairness (TAF) in AI Ethical Considerations in AI Course Evaluation Survey	Proposal DUE	Link to Reading Link to Reading Link to Reading Link to Survey
14	Nov 20	Final Exam	Lockdown Browser	Closed-Book
15	Nov 27	Thanksgiving Break	No Class	Thxgiving E-Card
16	Dec 4	Final Project Presentation	Final Project DUE	via Zoom