Textbook (suggested):
Artificial Intelligence, a Modern Approach
Stuart Russell, Peter Norvig
Prentice Hall Series in AI
Course Syllabus for ITCS 6150/8150
Agents
Search Algorithms (Uniformed, Informed, Adversarial)
Logical Agents
Puzzles
Knowledge Graphs
Statistics for Data Science
Monte Carlo Methods & Markov Chain
Rough Sets and Dempster-Shafer Theory
Propositional Logic
First-Order Logic
Resolution
Triangular Norms
Fuzzy Logic
Data Lakes
Machine Learning & Deep Learning
Large Language Models
Generative AI
Folksonomy
Recommender Systems
Recommender Systems in Business, Healthcare, Art
Date | Topic | Reading | Slides | |
---|---|---|---|---|
Week 1 | Jan 14 | Introduction Agents Uniformed Searches Informed Searches Optimization |
Chapter 1 Chapter 2 Chapter 3 Chapter 4 |
PowerPoint PowerPoint PowerPoint PowerPoint PowerPoint |
Week 2 | Jan 21 |
Dijkstra Algorithm Informed Searches Advesarial Search |
Chapter 4 Games Sudoku Chapter 6 |
PowerPoint PowerPoint PowerPoint PowerPoint |
Week 3 | Jan 28 | Sample Problems Logical Agents, Chapter 7 What is Knowledge Graph Knowledge Graphs |
Asynchronous |
PDF Video |
Week 4 | Febr 4 | Puzzles, Exercises Rough Sets - Video Dempster-Shafer Theory Propositional Logic Decomposition Rules Gentzen-Example |
Chapter 7 |
PDF PPT PPT PowerPoint JPG |
Week 5 | Febr 11 | Statistics for Data Science Monte Carlo Simulation Markov Chains |
Asynchronous | Video Video Video1, Video2 |
Week 6 | Febr 18 | DS Theory Example Propositional Logic First-Order Logic |
Chapter 7 Chapter 9, Part 1 Formal Definition |
PowerPoint PowerPoint |
Week 7 | Febr 25 | First-Order Logic Exercises |
Chapter 9, Part 2 Resolution Strategies Project |
PowerPoint Word |
Week 8 | March 11 | Midterm Exam Sample Review AI1 Review AI2 |
Asynchronous | PDF |
Week 9 | March 18 | Midterm Exam | ||
Week 10 | March 25 | Resolution - Exercises | Midterm Exam Solutions Exercises, Solutions |
PDF
PDF, PDF |
Week 11 | April 1 | Machine Learning ID3, Random Forest Deep Learning |
Asynchronous |
Video1 PPT, Video Video2 |
Week 12 | April 8 | Triangular norms Fuzzy Logic RSES Software |
Lectures | PDF PPT PowerPoint |
Week 13 | April 15 | Large Language Models Data Lakes, Data Lakehouse Recommender Systems (RS) |
Asynchronous | Video Video PowerPoint |
Week 14 | April 22 | Content-Based RS Knowledge Based RS RS in Healthcare RS in Business Generative AI |
Lectures |
PowerPoint PowerPoint PowerPoint PowerPoint Video |
Week 15 | April 29 | Review | Asynchronous | Link |
April 30 | PROJECT DUE DATE Maximum 4 people on the team Project Rubric |
Will be posted later on |
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Final | May ?? | Final Exam | ||
Association Rules | Video 1, Video 2 | Link |
ADDITIONAL PRESENTATIONS
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