- Contents and Objectives:
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This course gives an introduction to the philosophies and
techniques of Artificial Intelligence. AI techniques have become
an essential element in modern computer software and are thus
essential for a successful career and advanced studies in
computer science. Students successfully completing this course
will be able to apply a variety of techniques for the design
of efficient algorithms for complex problems. Topics covered in this course include search algorithms (such as breadth-first, depth-first, A*), game-playing algorithms (such as Minimax), knowledge and logic reasoning, planning methods (such as STRIPS and Partially Ordered Planner), probabilistic reasoning, and machine learning.
- Prerequisites:
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All students are expected to have passed the courses
Programming Languages (CSE 3302) and Theoretical Concepts (CSE 3315) or an equivalent
before attending this course.
- Textbook:
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S. Russell and P. Norvig, "Artificial Intelligence: A
Modern Approach", second edition (2003) or third edition (2009), Prentice Hall.
- Course Materials:
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Additional course materials such as lecture notes,
assignments, and solutions will be available
electronically on the course web page. Changes
and corrections, if any, will also be announced by
e-mail.
- Computer Access:
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This course will require some programming and all students will have
an account on the ACS machine omega. If
not otherwise stated on the assignment homework assignments can be
programmed in the language of your choice but have to compile and run
on omega. If partial code is provided,
however, it will generally be only provided in a limited number of
languages. Additional details will be announced in class.