CS 2400 - Introduction to Artificial Intelligence

• Understand what constitutes artificial intelligence and be able to identify such systems as well as their limitations
• Solve problems, including game play problems, through decision trees and search
• Apply propositional and first-order logic to planning problems
• Train neural networks for classification
• Solve problems using reinforcement Q-learning
• Understand machine learning concepts

• Understand and apply complex data structures and algorithms
• Use appropriate algorithms (and associated data structures) to design and build working software systems
• Understand the use of recursion in problem solving
• Predict the runtime and memory utilization of algorithms based on complexity analysis methods
• An ability to construct Python solutions to programming problems
• Understand and apply mathematical functions, relations, and sets as well as the associated operations
• Ability to form logic proofs using symbolic propositional logic
• Understand and apply symbolic predicate logic

• Introduction to AI, Turing Test, learning
• Decision trees, search, BFS, DFS
• A*, heuristics
• Game playing
• Planning
• Propositional and first-order logic
• Neural networks
• Genetic algorithms
• Reinforcement Q-learning

• Dungeon crawling
• A*
• Game playing
• STRIPS planning
• Implementations of a simple game
• Implementation of a neural network with an application to classification
• Group presentations on additional AI topics