Any necessary schedule updates will be posted here.
|
DATE |
WK |
# |
TOPICS |
Due |
|---|---|---|---|---|
|
1/13 |
1 |
1 |
Course intro and informal discussion |
|
|
1/15 |
1 |
2 |
Discussion Topics: – The Techno-Optimist Manifesto – AI and Education |
|
|
1/20 |
2 |
3 |
MLK Day – NO CLASS |
|
|
1/22 |
2 |
4 |
Lecture 01: Definitions of AI, ML, and Deep Learning Discussion – Is AGI Coming Sooner Than We Think?
|
|
|
1/27 |
3 |
5 |
Lecture 02: Supervised vs. Unsupervised Learning |
|
|
1/29 |
3 |
6 |
Lecture 03: Reinforcement Learning & Interpretability 03 MIS3536-Interpretability.pptx Quiz 1 – Kinds of ML |
|
|
2/3 |
4 |
7 |
Activity 1 – ML Models Discussion – Yes, DeepSeek IS Actually a Massive Deal for AI |
Assignment 1 (Excel) |
|
2/5 |
4 |
8 |
Activity 1B – ML Models Quiz 2 – Reinforcement Learning & Interpretability |
|
|
2/10 |
5 |
9 |
Activity 2 – Correlation Matrices and Dimension Reduction |
Assignment 2 (Break the Chatbot) |
|
2/12 |
5 |
10 |
Discussion – Reading: Google’s Gemini Controversy Explained: AI Model Criticized By Musk And Others Over Alleged Bias Viewing: AI and BIAS: The Unseen Influence Lecture 04: Managing Bias |
|
|
2/17 |
6 |
11 |
Activity 3 – Recommender Systems |
|
|
2/19 |
6 |
12 |
Lecture 05: Bayesian Cognition 05 MIS3536-Intro-Bayesian-Cognition.pptx Quiz 3 – Managing Bias |
Assignment 3 (Python / Anaconda Literacy) |
|
2/24 |
7 |
13 |
Discussion – The Accelerationist Age of American AI Activity 5 – Bayesian Classification |
|
|
2/26 |
7 |
14 |
Activity 5B — Bayesian Classification (Part 2) Quiz 4 Recommender Systems |
Assignment 4 (Prompting Literacy) |
|
3/3 |
8 |
15 |
Spring Break – NO CLASS |
|
|
3/5 |
8 |
16 |
Spring Break – NO CLASS |
|
|
3/10 |
9 |
17 |
Briefly Discuss: “AI Gets Rapidly Smarter, And Makes Some Of Us Dumber” Lecture 6 – LLMS |
|
|
3/12 |
9 |
18 |
Lecture 07 – LLMs Part 2 (Hallucinations, Alignment, Scaling Laws) Briefly Discuss: “Can AI think?” Quiz 5 – LLMS |
|
|
3/17 |
10 |
19 |
Briefly Discuss: “I’m pretty terrified by the pace of AI development” https://youtu.be/KgcjOo4HAlg?si=ooSgUEQWthdMUnpI Exam Prep – MIS3536-Exam1-Study-Guide.docx |
Assignments 5 and 6 (Excel) |
|
3/19 |
10 |
20 |
Mid-term |
|
|
3/24 |
11 |
21 |
Activity 5C – Predictive text generation |
|
|
3/26 |
11 |
22 |
Activity 6 – LLM and Content Generation ( See Canvas ) |
|
|
3/31 |
12 |
23 |
GUEST SPEAKER |
Assignment 7 (Detecting Bias) |
|
4/2 |
12 |
24 |
Lecture 8 – AI and Cybersecurity |
|
|
4/7
|
13 |
25 |
Activity 7 – LLM and Code Generation Activity 7 – LLMs and Coding.docx Assignment 10 announced |
Assignment 8 (AICyber) |
|
4/9 |
13 |
26 |
Lecture 9 — LLMs revisited + SecureAI |
|
|
4/14 |
14 |
27 |
Lecture 10 — Huggingface Activity 8 – Huggingface and OCR |
Assignment 9 (SecureAI) |
|
4/16 |
14 |
28 |
Open Lab ( Assistance on assignment 10) |
|
|
4/21 |
15 |
29 |
Project Presentations |
Assignment 10 (AI-Assisted Coding) |
|
4/23 |
15 |
30 |
Project Presentations |
|
|
4/28
|
16 |
31 |
Last Day of class / Exam Prep |
FINAL EXAM – Monday 5/5 10:30am-12:30pm – Alter 603