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Instructor:
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Xiujun GONG (Asso Prof)
([email protected])
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| Time: |
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Tuesday from 2:00 thu 3:30pm and Thursday from 9:55 thu 11:30am
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| Place: |
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Building 24 , Room 103 |
| Attendance: |
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Class 2719 |
| Period: |
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32（week 11-18） |
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Office hour:
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Any time upon pre-appointment before final exam, 25-B-1208
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| Discrete mathematics |
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| Algorithm |
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Artificial Intelligence is the interdisciplinary study of computer science including psychology, philosophy, neuroscience, cognitive science, linguistics, ontology, operations research, economics, control theory, probability, optimization and logic. The course will address basic problems of AI researches, classical approaches and tools to AI researches and typical applications of AI. The main contents include stimulus-response agent, neural-networks, machine evolution, state machines robot vision, search in state spaces, knowledge representation, logical reasoning, reasoning in uncertain situations, machine learning, and natural language processing.
The course will introduce students to the basic problems, classical approaches and tools, and typical applications of AI researches. Upon the completion of this course, students should be able to understand the nature of the intelligence behaviors, learn about the art of state AI research topics, grasp the classical approaches to AI researches, and apply these approaches and tools for real problem solving.
| Attendance |
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10% |
| Discussion & Assignment |
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20% |
| Final exam |
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70% |
Textbooks
1. Artificial
Intelligence-A New Synthesis Nils J. Nillson
2. Artificial
Intelligence:A Modern Approach Stuart Russell. Peter Norvig
3. Artificial
Intelligence: Structures and Strategies for Complex Problems Solving (Fourth
Edition) George F. Luger
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2010-3-18: Assignment 1
Submission due: 2010-3-25
2010-4-1: Assignment 2
Submission due: 2010-4-22
Project requirements are available here
Final report template is available here
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