Download CS 4850/6850: Principles of Artificial Intelligence

Wright State University
CORE Scholar
Computer Science & Engineering Syllabi
College of Engineering and Computer Science
Fall 2012
CS 4850/6850: Principles of Artificial Intelligence
Shaojun Wang
Wright State University - Main Campus, [email protected]
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Repository Citation
Wang, S. (2012). CS 4850/6850: Principles of Artificial Intelligence. .
http://corescholar.libraries.wright.edu/cecs_syllabi/340
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CS 4850/6850 Principles of Artificial Intelligence
Dr. Shaojun Wang
Instructor:
Office:
Phone:
Email:
Office Hours:
387 Joshi Center
(937) 775-5140
[email protected]
Monday and Wednesday 5:00 PM - 6:00 PM or by appointment
Textbook: Artificial Intelligence: A Modern Approach, 3•d Edition, required
by Stuart Russell and Peter Norvig, Prentice Hall, 2010,
ISBN:978-0136042594
Workload:
4 HWs
65%
15%
15%
5%
1 Midterm Examination
1 Final Examination
Attendance
Grading: Week
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
I
. ··•
90-100 A, 80-89 B,
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. :.
70-79 C, 60-69 D, below 60 F; Might be curved
Tooics · ..... : .···· ·
Introduction to Al
Search problems
Blind search, heuristic research
Local search; searchinq in qames
Constraint satisfaction problem
Game theorv
First order loqic
Predicate calculus representation and inference
Uncertainty and Probability
Probabilistic Reasoning using Bayesian Networks
Inference in Bayesian Networks
Learning with Maximum Likelihood
Learning with Hidden Variables
Hidden Markov Models
Decision theory, Reinforcement Learning
Natural language processing, machine translation
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RN 1-2
RN 3.1-3
RN 3.4-6
RN4.1-5;5
RN6
RN 17.6-7
7.1-4
RN 8-9
RN 13
RN 14.1-3
RN 14.4-5
RN 20.1-2
RN 20.3
RN 15.3
RN21.1-6
RN 23
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CS 4850/6850 Principles of Artificial Intelligence
Instructor:
Office:
Phone:
Email:
Office Hours:
Textbook: Dr. Shaojun Wang 387 Joshi Center (937) 775-5140 [email protected] Monday and Wednesday 5:00 PM - 6:00 PM or by appointment Artificial Intelligence: A Modem Approach, 3'd Edition, required
by Stuart Russell and Peter Norvig, Prentice Hall, 2010,
ISBN:978-0136042594
Workload:
4 HWs
1 Midterm Examination
1 Final Examination
Attendance
Grading:
weeI<
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
65%
15%
15%
5%
90-100 A, 80-89 B, 70-79 C, 60-69 D, below 60 F; Might be curved
·,; ·c/;:.'x:c:·.' ·(;.·:·'··".. \.T
••
. ..
•·. '··· ... '··
Introduction to Al Search problems
Blind search, heuristic research
Local search; searchinq in qames
Constraint satisfaction oroblem
Game theorv
First order loqic
Predicate calculus representation and inference
Uncertainty and Probability
Probabilistic Reasoning using Bayesian Networks
Inference in Bayesian Networks
Learning with Maximum Likelihood
Learning with Hidden Variables
Hidden Markov Models
Decision theory, Reinforcement Learning
Natural language processing, machine translation
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, ,_;·;r:• '' •
RN 1-2
RN 3.1-3 RN 3.4-6 RN4.1-5;5 RN6 RN 17.6-7 7.1-4 RN 8-9 RN 13 RN 14.1-3 RN 14.4-5 RN 20.1-2 RN 20.3 RN 15.3 RN 21.1-6 RN 23 '