A Community College Blended Learning Classroom Experience through Artificial Intelligence in Games

This page contains the course materials used in the Fall 2012 course, SGD 125: Artificial Intelligence in Games (Course Syllabus).

Titus Barik, Michael Everett, Rogelio E. Cardona-Rivera, David L. Roberts, and Edward F. Gehringer. "A Community College Blended Learning Classroom Experience through Artificial Intelligence in Games". In: Frontiers in Education (FIE 2013), Oklahoma City, Oklahoma. 2013.
Module Topic Course Materials
1 Introducing Python In-class
Homework
2 Exploring Python Pre-lab
In-class
Homework
3 Introduction Pygame Pre-lab
In-class
Homework
4-5 Numerical Python In-class
Homework
6 Movement Algorithms Pre-lab
In-class
Homework
7 Pathfinding I Pre-lab
In-class
Pathfinding Student Files
Pathfinding Video
8 Pathfinding II In-class
Homework
9 Decision Making I Pre-lab
Exercises
10 Practical Midterm Exam Midterm
Midterm Student Files
11 Decision Making II In-class
Homework
FSM Student Files
12 Learning Pre-lab
In-class
Homework
Learning Student Files
13 Supporting Technologies I In-class
Homework
14 Supporting Technologies II Python MMO File
15 Comprehensive Final Review No materials.
16 Practical Final Exam Final
Final Student Files

Requirements


For corrections, please contact Titus Barik ([email protected]).

Last updated: October 25, 2013