CIS 490: Introduction to Artificial Intelligence, Spring 2021

This will be an introductory course without any prerequisites other than being comfortable with computers. We will cover the foundational principles and techniques from Artificial Intelligence including machine learning, search, reinforcement learning, logic, and uncertainty. The class will involve programming exercises, reading assignments, lectures, and quizzes.

Textbook

Artificial Intelligence: A Modern Approach, Russel & Norvig, 4th edition.
An older edition is fine too (and likely a lot cheaper if you want to buy and keep).

Software

Programming Languages:
Python will be used for several programming assignments.
- Python

World Simulators

○ OpenAI Gym https://gym.openai.com/

○ Gazebo http://gazebosim.org/

Topical Outline

Machine Learning
Search
Logic
Reinforcement Learning
Uncertainty

Projects

The class will be focused on several laboratory activities, with a number of projects that extend directly from the laboratory activities. A tentative list of laboratory activities are:
TBD

Class Laboratory Hardware

iRobot Create2
xArm 6DOF robotic arm
Astra Pro Stereoscopic Camera
Kinect Point Cloud-based Depth Camera

Learning Resources

○ OpenAI Gym	https://gym.openai.com/
○ Gazebo	http://gazebosim.org/