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Body of Knowledge coverage<br />

KA Knowledge Unit Topics Covered Hrs<br />

PL Lisp A Brief Introduction 3<br />

IS Fundamental Issues AI problems, Agents and Environments, Structure of Agents, Problem<br />

Solving Agents<br />

3<br />

IS<br />

Basic Search<br />

Strategies<br />

Problem Spaces, Uninformed Search (Breadth-First, Depth-First Search,<br />

Depth-first with Iterative Deepening), Heuristic Search (Hill Climbing,<br />

Generic Best-First, A*), Constraint Satisfaction (Backtracking, Local<br />

Search)<br />

5<br />

IS Advanced Search Constructing Search Trees, Stochastic Search, A* Search<br />

Implementation, Minimax Search, Alpha-Beta Pruning<br />

3<br />

IS<br />

Basic Knowledge<br />

Representation and<br />

Reasoning<br />

Propositional Logic, First-Order Logic, Forward Chaining and Backward<br />

Chaining, Introduction to Probabilistic Reasoning, Bayes Theorem<br />

3<br />

IS<br />

Advanced<br />

Knowledge<br />

Representation and<br />

Reasoning<br />

Knowledge Representation Issues, Non-monotonic Reasoning, Other<br />

Knowledge Representation Schemes.<br />

3<br />

IS<br />

Reasoning Under<br />

Uncertainty<br />

Basic probability, Acting Under Uncertainty, Bayes’ Rule, Representing<br />

Knowledge in an Uncertain Domain, Bayesian Networks<br />

3<br />

IS<br />

Basic Machine<br />

Learning<br />

Forms of Learning, Decision Trees, Nearest Neighbor Algorithm,<br />

Statistical-Based Learning such as Naïve Bayesian Classifier.<br />

4<br />

Additional topics:<br />

A brief introduction to 1-2 additional AI sub-fields. (2 hours)<br />

Additional Comments<br />

The machine learning algorithms covered vary based on the machine learning project selected for the course.<br />

Acknowledgement: This work is funded in part by the National Science Foundation DUE-040949 and DUE-<br />

0716338.<br />

References:<br />

• Russell, I., Coleman, S., Markov, Z. 2012. A Contextualized Project-based Approach for Improving Student<br />

Engagement and Learning in AI Courses. Proceedings of CSERC 2012 Conference, ACM Press, New York,<br />

NY, 9-15, DOI= http://doi.acm.org/10.1145/2421277.242127<br />

• Russell, I., Markov, Z., Neller, T., Coleman, S. 2010. MLeXAI: A Project-Based Application Oriented Model,<br />

ACM Transactions on Computing Education, 20(1), pages 17-36.<br />

• Russell, I., Markov, Z. 2009. Project MLeXAI Home Page, http://uhaweb.hartford.edu/compsci/ccli/.<br />

• Russell, S. and Norvig, P. 2010. Artificial Intelligence: A Modern Approach, Upper Saddle River, NJ:<br />

Prentice-Hall.<br />

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