Class description: | Principles of artificial intelligence. Uninformed and informed search. Constraint satisfaction. AI for game playing. Probabilistic reasoning, Markov decision processes, hidden Markov models, Bayes nets. Neural networks and deep learning. |
Course objectives: | By the end of the semester each student will be able to:
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Instructor: | Dr. Lotzi Bölöni |
Office: | HEC - 319 |
Phone: | (407) 243-8256 (on last resort) |
E-mail: | lboloni@cs.ucf.edu (preferred means of communication) |
Web Site: |
http://www.cs.ucf.edu/~lboloni/Teaching/CAP5636_Fall2017/index.html
The assignments and the other announcements will be posted on the course web site |
Classroom: | ENG2 203 |
Class Hours: | Tue, Th 4:30PM - 5:45PM |
Office Hours: | Tue, Th 6:00PM - 7:30PM |
Pre-requisites: | The class does not depend on the undergraduate AI class, although some concepts might be easier if you have seen them before. The projects require Python programming. If you can program in any programming language (C/C++/Java/Javascript) you should be ok. |
Required texts: | There is no required textbook. |
Recommended readings: |
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Grading: |
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Integrity: | The department, college, and University are committed to honesty and integrity in all academic matters. We do not tolerate academic misconduct by students in any form, including cheating, plagiarism and commercial use of academic materials.
Please consult the Golden Rule
Handbook for the procedures which will be applied. |
Verification of engagement: | As of Fall 2014, all faculty members are required to document students' academic activity at the beginning of each course. In order to document that you began this course, please complete the following academic activity by the end of the
first week of classes, or as soon as possible after adding the course, but no later than August 27. Failure to do so will result in a delay in the disbursement of your financial aid. To satisfy this requirement, you must finish the first quiz posted online. Log in to Webcourses, choose CAP 5636, and submit your answers online. |
Date |
Topic |
Lecture Notes, Readings, Homeworks |
Aug. 22 |
History and positioning of AI |
[slides]
History and positioning of AI |
Aug. 24 |
Uninformed search
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[slides] Uninformed search |
Aug. 29 |
Informed search: A* search and heuristics
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[slides] Informed search Homework 1: Project 1 from the Berkeley AI class. Due Points are worth as follows: Q1..Q4 25 points each, Q5..A8 10 points each. Total achievable points 140 points. |
Aug. 31 |
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Sept. 5 |
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Mon, Sept. 7 |
UCF closed due to Hurricane Irma |
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Mon, Sept. 12 |
UCF closed due to Hurricane Irma |
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Mon, Sept. 14 |
UCF closed due to Hurricane Irma |
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Sept. 19 |
Game playing and adversarial search
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[slides] Adversarial search |
Sept. 21 | Expectimax search and utilities
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[slides] Expectimax search and utilities |
Sept. 26 |
Markov decision processes 1
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[slides] Markov Decision Processes 1 |
Sept. 28 |
Markov decision processes 2
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[slides] Markov Decision Processes 2 |
Oct. 3 |
Reinforcement learning 1
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[slides]
Reinforcement learning 1 |
Oct. 5 |
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Oct. 10 |
Reinforcement learning 2
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[slides]
Reinforcement learning 2 |
Oct. 12 |
Midterm 1: from introduction to Markov Decision Processes (inclusive) | |
Oct. 17 |
Probability
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[slides] Probability |
Oct. 19 |
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Oct. 24 |
Markov models
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[slides] Markov models |
Oct. 26 |
Hidden Markov models
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[slides] Hidden
Markov models |
Oct. 31 |
Homework 2: Project 3 from the Berkeley AI class. Due November 21st Points are worth as follows: Q1..Q4 25 points each, Q5..A8 10 points each. Total achievable points: 140. |
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Nov. 2 |
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Nov. 7 |
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Nov. 9 |
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Nov. 14 |
Midterm exam 2: From reinforcement learning to
particle filters (inclusive) |
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Nov. 16 |
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[slides] Particle filters and Applications of HMMs |
Nov. 21 |
Classification, principles of machine learning,
naive Bayes
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[slides] Classification and naive Bayes |
Nov. 23 |
Thanksgiving break | |
Nov. 28 |
-Classification and machine learning cont'd |
[homework]
Homework 3 - due December 7 |
Nov. 30 |
Artificial General Intelligence
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Final exam Thursday, December 07, 2017, 4:00 PM - 6:50 PM |