Artificial Intelligence

Course Overview
This course covers the principal ideas and developments in artificial intelligence selecting form a broad range of topics, such as: problem-solving methods, representation of knowledge, machine learning, natural language analysis and synthesis, and programming languages for artificial intelligence. Through the written and programming assignments, students will be encouraged to explore how different AI techniques can be applied to solve real world problems.

Prerequisites
This class will generally be offered only to advanced students in computer science (in their third or fourth year of study). Although the contents may vary across different offerings of this course, the general prerequisites will likely include the following:

• Fundamentals of probability and statistics (including Bayes theorem)
• Fundamentals of calculus
• Data structures and algorithms
• Strong programming skills

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