St. Mary’s College of Maryland

Department of Mathematics and Computer Science

COSC 480 – Advanced Techniques in Artificial Intelligence

Fall 2014

Course Syllabus (pdf)

 

Class schedule & Updates

Week

Day

Topic

Pre-class Reading

Notes

1

Tue 9/2

Syllabus and introduction

 

 

Thu 9/4

Single-State search methods

Chapters 1 & 2

 

2

Tue 9/9

Tabu Search, Genetic Algorithms

Section 2.5

Chapter 3 up to P.48

 

Thu 9/11

Genetic Programming

Differential Evolution

Particle Swarm Optimization

The rest of Chapter 3

 

3

Tue 9/16

Multi-Objective Optimization

Chapter 7

 

Thu 9/18

Multi-Objective Optimization

jMetal User Manual

 

4

Tue 9/23

Representation

Chapter 4 intro and section 4.1

jMetal User Manual

Project groups and topics assigned

Thu 9/25

Indicator-based methods

Reference paper on IBEA

 

5

Tue 9/30

Project discussions; 10 minutes per group

 

 

Thu 10/2

Parallel Methods and Co-evolution

Chapters 5 & 6

 

6

Tue 10/7

Exam review

 

 

Thu 10/9

Midterm Exam

 

 

7

Tue 10/14

Fall reading Days. NO CLASSES

Thu 10/16

Introduction to Machine Learning problems

 

 

8

Tue 10/21

Artificial Neural Networks

 

Assignment #1 due

Thu 10/23

Artificial Neural Networks

 

 

9

Tue 10/28

Individual project consultations

(in office, no class)

 

 

Thu 10/30

Individual project consultations

(in office, no class)

 

 

10

Tue 11/4

All-day advising. NO CLASSES

Thu 11/6

Artificial Neural Networks

 

 

11

Tue 11/11

Bayesian Learning

 

 

Thu 11/13

Bayesian Networks

 

Assignment #2 due

12

Tue 11/18

Individual project consultations

(in office, no class)

 

 

Thu 11/20

Individual project consultations

(in office, no class)

 

 

13

Tue 11/25

Individual project consultations

(in office, no class)

 

 

Thu 11/27

Thanksgiving recess. NO CLASSES.

14

Tue 12/2

Individual project consultations

(in office, no class)

 

 

Thu 12/4

Individual project consultations

(in office, no class)

 

 

15

Sun 12/7

Deadline for Project Report submission

 

 

Tue 12/9

Project oral presentations

 

 

Thu 12/11

Project oral presentations

 

Submit presentation slides