Introduction to Artificial Intelligence

Covers foundations and history of AI. Iowa course listing here.

Course Description

The overall goal of this course is to introduce students to a number of topics and techniques in Artificial Intelligence (AI). This course provides an introduction to the core ideas and techniques of artificial intelligence. Students explore AI and agents, fundamental problem-solving and search strategies (including breadth-first search, depth-first search, uniform cost search, A* search, local search, and adversarial search), constraint satisfaction, logic-based reasoning, the foundations of machine learning and demonstrates how these methods can be applied to real-world problems.

Learning Outcomes

By the end of this course students should:

• Be capable of critically examining computational systems with respect to their intelligence;
• Understand the methods used in artificial intelligence problem solving;
• Be capable of tanslating artificial intelligence concepts into working programs;

These are all useful practical and theoretical skills and are sought out by top universities and companies working in AI.

Course Schedule

We are using Russel and Norvig's canonical AI textbook, Artificial Intelligence: A Modern Approach, 4th US ed.