Welcome to CS 330: Artificial Intelligence

Print Schedule

CS 330 -- Schedule (fall2023)

Tentative - subject to change as course progresses

Date Description Weeks
9/5/2023, 9/7/2023Introduction and machine learning basics, learning Python IWeek 1
9/12/2023, 9/14/2023Learning Python II, wrap-up and Lab 1Week 2
9/19/2023, 9/21/2023Quiz 1 on Python programming. Machine Learning basics and Probablistic theory and Naive Bayesian algorithmWeek 3
9/26/2023, 9/28/2023Quiz 2, review homework and labs. Lab 2Week 4
10/3/2023, 10/5/2023Model-based application; Lab 03 for data processing and Github. Course projectWeek 5
10/10/2023, 10/12/2023Bayesian network learning, EM algorithm; Literature review and course projectWeek 6
10/17/2023, 10/19/2023Decision tree; Lab 4 for decision treeWeek 7
10/24/2023, 10/26/2023Logistic and Linear regression; Practical machine learning and work on Lab 4, literature reviewWeek 8
10/31/2023, 11/2/2023(Mid-term)Literature Review presentation and course project proposal presentation on ZoomWeek 9
11/7/2023, 11/9/2023Quiz 3 and review final course project; Introduction to Neural Network; Deep learning, recurrent neural networkWeek 10
11/14/2023, 11/16/2023Support Vector Machine, ClusteringWeek 11
11/21/2023, 11/23/2023(Thanks giving break)Quiz 4, Catch up for classes and projects. Thanks giving break at 11/22Week 12
11/28/2023, 11/30/2023Ethics in AI, and other selected topic(possible:reinforcement learning, genetic algorithm)Week 13
12/5/2023, 12/7/2023Final project presentation (Report due on Dec 12th)Week 14
Final exam weekTuesday, December 12th, 2:00pm - 4:00pmWeek 15
Week 16