CSE 730: Survey of Artificial Intelligence II: Advanced Topics
Description
A survey of advanced concepts, techniques, and applications of artificial intelligence, including knowledge-based systems, learning, natural language understanding, and vision.
Level, Credits, Class Time Distribution, Prerequisites
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Level
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Credits
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Class Time Distribution
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Prerequisites
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|
UG |
3 |
3 cl |
630 |
Quarters Offered
General Information, Exclusions, Cross-listings, etc.
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There are programming projects and prior programming experience is assumed.
Intended Learning Outcomes
For details of terminology see http://www.cse.ohio-state.edu/cgi-bin/syllabus-view.cgi?cgi_state=loexpl
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Master advanced AI concepts, theories, and terminology.
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Master computational techniques in typical AI subareas.
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Master knowledge representation and reasoning methods in AI.
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Be exposed to current research topics in AI.
Representative Texts and Other Course Materials
Textbook(s) and other materials listed are representative only. Please visit or contact a campus-area bookstore before the term starts to determine the textbook(s) to be used in a particular section of the course.
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Artificial Intelligence: A Modern Approach, 2nd Edition - Stuard Russell and Peter Norvig
Representative Topics List
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Number of Hours
|
Topic
|
| 2 |
Introduction, probability theory |
| 6 |
Probabilistic inference |
| 4 |
Machine learning |
| 2 |
Computer vision |
| 2 |
Computer audition |
| 2 |
Automatic speech recognition |
| 2 |
Spoken dialogue systems |
| 3 |
Natural language processing |
| 2 |
Abstract reasoning |
| 2 |
Information retreival |
| 3 |
Exams, exam review |
Representative Lab Assignments
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Probability theory -- pencil and paper problems, computing likelihood from distributions
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Markov models and machine learning -- pencil and paper, perceptron learning rule, expectation-maximization
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Computer vision -- edge detection
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Speech recognition and natural language processing -- pencil and paper problems
Representative Grading Plan
| Quizzes (2 x 10%) |
20% |
| Final exam |
20% |
| Final project (including proposal and presentation) |
25% |
| Homeworks |
30% |
| Participation |
5% |
Relationship to BS-CSE Program Outcomes
For details see http://www.cse.ohio-state.edu/cgi-bin/syllabus-view.cgi?cgi_state=abet;SYLLABUS_ID=369
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Course Coordinator: Eric Fosler-Lussier
Last modified: 2005-06-10 10:49:00
