CSSE 513 Schedule

(Subject to revisions - It's a new course!)

Winter 2014-15

Week	Session	Topics / Slides	Preparation	Project Work Due
1	Thurs, Dec 4, 2014	Intelligent Systems
		Intro to R and to machine learning	Lantz, Ch 1
		Course intro, details of homework and project work in the course
		How R handles data	Ch 2
		Which model is best?
		Time for initial discussion about selection of projects / papers
2	Thurs, Dec 11	Review Project / paper ideas		Homework (in class)
		Nearest Neighbor, including talk about HW	Ch 3
		Naive Bayes, including talk about HW	Ch 4
3	Thurs, Dec 18	Decision trees and rules	Ch 5	Homework (in class)
		Regression	Ch 6	Turn in first paper / project report
		Week 3 Project progress reports
4	Thurs, Jan 8, 2015	Neural Networks and Support Vector Machines	Ch 7	Homework (in class)
		Association Rules and Market Basket	Ch 8
		Interim Project progress reports in class
		Intro to Exam 1
5	Thurs, Jan 15	Clustering with k-means	Ch 9	Homework (in class) 11:55 PM - Exam 1- turn in on Moodle !!! (Needs to be on time.)
		Evaluating model performance	Ch 10
		Interim Project progress reportsin class
6	Thurs, Jan 22	Improving model performance	Ch 11	Homework (in class)
		Special topics in machine learning	Ch 12	Turn in second paper / project report
		Week 6 Project progress reports
7	Thurs, Jan 29	AI search	Reading, started week 6	Homework (in class) - see new assignment for Weeks 7 - 10
			Sample A* Python program
		Interim Project progress reports
8	Thurs, Feb 5	AI knowledge representation	Reading on knowledge representation	Homework (in class)
			Prolog Intro
			See Knowledge Representation slides in Moodle
		Interim Project progress reports
9	Thurs, Feb 12	Constraint satisfaction and planning	See short CSP tutorial, Constraint Satisfaction slides on Moodle, and Choco app website	Homework (in class)
		Genetic algorithms	See short online intro to genetic algorithms and the GA intro on Moodle that I'll talk from in class.	Turn in third paper / project report
		Week 9 Project progress reports
			Get take home Exam - 2.
		Course evaluations
10	Thurs, Feb 19	Concluding remarks		Homework (in class) Exam - 2 due, 11:55 PM, on Moodle !!!
		Project Retrospective Presentation		Turn in project retrospective
		Agent-based approaches to AI
		Final discussions