This is the schedule for the class. Any updates to the class will be posted here.
Wk |
Day |
Lectures and Activities |
Assignments Due |
---|---|---|---|
1 |
17-Jan |
Course Intro |
|
1 |
19-Jan |
Definitions of AI, ML, Deep Learning |
|
2 |
22-Jan |
AI “Long reads” case study 1 A digest of our conversation regarding education: |
|
2 |
24-Jan |
Supervised vs Unsupervised Learning |
|
2 |
26-Jan |
Reinforcement Learning & Interpretability Quiz 1 |
|
3 |
29-Jan |
AI “Long reads” case study 2 |
|
3 |
31-Jan |
Roadmap activity 1 |
|
3 |
2-Feb |
Roadmap 1 activity – continued Quiz 2 |
|
4
|
5-Feb |
Correlation Matrices / Dimension Reduction MIS3580-DiscussionQuestions-Week4.pptx AI “Long reads” case study 3 |
|
4 |
7-Feb |
Managing Bias |
|
4 |
9-Feb |
Recommender Systems Quiz 3 |
|
5 |
12-Feb |
Our roadmap so far … Today’s lecture: MIS3580-Intro-Bayesian-Cognition-v1-1.pptx (improved!) AI “Long reads” case study 4 |
|
5 |
14-Feb |
Naïve Bayesian classification |
|
5 |
16-Feb |
Naïve Bayesian classification continued Roadmap Activity 4B.pdf |
|
6
|
19-Feb |
AI “Long reads” case study 5 |
|
6
|
21-Feb |
Large Language Models |
|
6 |
23-Feb |
NO IN PERSON CLASS TODAY Watch this: Intro to Large Language Models ( Andrej Karpathy ) |
|
7
|
27-Feb |
Quiz 5 Resources: MIS3580-DiscussionQuestions-Week7.pptx MIS3580-When AI Hallucinates.pptx AI “Long reads” case study 6 |
|
7
|
Feb-29 |
Workplace Activity 1 |
|
7 |
Mar-1 |
NO CLASS |
|
8 |
4-Mar |
SPRING BREAK |
|
8 |
6-Mar |
SPRING BREAK |
|
8 |
8-Mar |
SPRING BREAK |
|
9
|
11-Mar |
Exam Prep Study guide: Practice exam: |
|
9 |
13-Mar |
Mid-term Exam 1 |
|
9 |
15-Mar |
AI in Excel: Data from Pictures, Pattern Recognition with Flash Fill |
Assignment 1 |
10 |
18-Mar |
AI “Long reads” case study 7 |
|
10
|
20-Mar |
AI in Excel: Analyze Data ( “Ideas” in Excel ), Recommend Charts Assignment 2 |
|
10 |
22-Mar |
AI in Excel: Power Query ( Using examples) |
|
11
|
25-Mar |
|
|
11 |
27-Mar |
ChatGPT for code generation See: funcode.zip |
Assignment 2 |
11 |
29-Mar |
ChatGPT for content generation CLASS WILL BE CONDUCTED VIA ZOOM |
|
12 |
1-Apr |
AI “Long reads” case study 8 |
|
12 |
3-Apr |
ChatGPT for idea generation and brainstorming |
|
12 |
5-Apr |
Working on Assignment 3 Get the assignment at this link here. |
|
13 |
9-Apr |
AI “Long reads” case study 9 |
|
13 |
11-Apr |
ChatGPT for FAQs / Train your own Chatbot In this class we used https://askyourpdf.com/ to create a topic-specific chatbot. We saw how Python (or any other language) could interact with a Chatbot API. We also briefly compared that to dedicated GPTs from OpenAI. |
Assignment 3 |
13
|
12-Apr |
ChatGPT for Sentiment Analysis Use an AI-powered Excel Add-In to do Sentiment Analysis. See: http://tinyurl.com/shaferaicourse (the Workplace3 folder) The Excel Add-In we will use: https://www.meaningcloud.com/
Assignments 4 and 5 |
|
14 |
15-Apr |
Professor Lavin will lead the class today |
|
14 |
17-Apr |
ChatGPT for Web Scraping |
|
14 |
19-Apr |
Revisiting “8 Questions on the Future of AI” |
|
15
|
22-Apr |
Ethics and the future of AI |
|
15 |
24-Apr |
AI and Cybersecurity – Microsoft’s response to Sydney and Kevin Roose |
|
15 |
26-Apr |
Review for Exam 2 Study guide: MIS3580-Exam2-Study-Guide.docx |
|
16 |
29-Apr |
Exam 2 |
Assignments 4 and 5 |