CP468 ARTIFICIAL INTELLIGENCE, FALL 2015, WLU

Course Description

Prerequisites

Instructor

Course Textbook

Textbook Support Website http://aima.cs.berkeley.edu

Lecture Topics (corresponding to the 12 weeks schedule)

1. Introduction, Intelligent Agents
2. Problem solving, searching
3. Metaheuristics I: Local Search, Tabu Search, Hill Climbing
4. Metaheuristics II: Simulated Annealing, Genetic Algorithms, Ant Colony Optimization
5. Constraint Satisfaction Problems
6. Automated Reasoning, Prolog
7. Knowledge Representation
8. Knowledge-based systems
9. Machine Learning
10. Neural Networks I: Architectures, Pattern Classification
11. Neural Networks II: Single-layer, Multi-layer
12. Term Projects Presentations

Class Schedule, Fall Semester Timetable

            |     Mon     |     Wed     |   
            | 17:30-18:50 | 17:30-18:50 | 
            | Room N1057  | Room N1057  | 
____________|_____________|_____________|______
            |             |             |
Week 1:     |  Sep 14     |    Sep 16   |   
Week 2:     |  Sep 21     |    Sep 23   |   
Week 3:     |  Sep 28     |    Sep 30   |   
Week 4:     |  Oct 05     |    Oct 07   |   
____________|_____________|_____________|______________

Reading Week   Oct 12 - Oct 16   N o  C o u r s e s
_______________________________________________________
            |             |            |
Week 5:     |  Oct 19     |   Oct 21   |
Week 6:     |  Oct 26     |   Oct 28   |
Week 7:     |  Nov 02     |   Nov 04   |   
Week 8:     |  Nov 09     |   Nov 11   |   
Week 9:     |  Nov 16     |   Nov 18   |   
Week 10:    |  Nov 23     |   Nov 25   |  
Week 11:    |  Nov 30     |   Dec 02   |  
Week 12:    |  Dec 07     |   Dec 09   |   
____________|_____________|____________|______________
            |             |             |

Course Mailing List

Course Requirements/Student Evaluation

• The course final grade is computed based on the 4 components: A1, A2, M, TP, explained in more detail below.

• The course final grade is computed as: A1*(20/100) + A2*(20/100) + M*(30/100) + TP*(30/100)

• (A1) Assignment 1: 20%, due date: TBA.

• (A2) Assignment 2: 20%, due date: TBA.

• Important Information regarding assignment submission:
  • Late assignments will be marked with 0.
  • All assignment submissions will be by e-mail only.

  • All assignment submissions will be acknowledged by e-mail.

  • All assignment submissions must be typeset (LaTeX, Word).

  • All assignment submissions must be by .pdf file attachment only.

  • Send one .pdf file only, for the entire assignment.

  • Use the following naming schemes, for your A1 and A2 .pdf files:
    CP468-A1-FirstName-LastName.pdf
    and
    CP468-A2-FirstName-LastName.pdf
    (these are dash characters, not underscores)

  • Do not use a cover page. Instead, make sure that all pages of your .pdf file are numbered and on each page include a header with your name, course code, date, and A1 (or A2)

  • Assignment submissions that violate any of the above requirements, will not be accepted/marked.

• (M) Midterm: 30%, October 21, 2015, in class.

• (TP) Term Project: 30%, due date: TBA.

  All students will be required to prepare a Term Project, details in class. Students may form groups (of 4 students each) to work on the Term Project collaboratively. Each group will have to deliver a project document and arrange for a project demonstration.

Course Drop Dates 2015/2016

Examination Deferrals:

The Academic Date section of the Calendar (Printed and Web Site Versions) clearly states the examination date period for each semester. Students must note th at they are required to reserve this time in their personal calendars for the examinations. The examination period for this course is DECEMBER 8-22. Student s who are considering registering to write MCAT, LSAT or GMAT or a similar examination, should select a time for those examinations that occurs outside the U niversity examination period. For additional information that describes the special circumstances for examination deferment, consult the University calendar.

Student Awareness of the Special Needs Office:

Students with disabilities or special needs, are advised to contact Laurier's Special Needs Office for information regarding its services and resources. Stud ents are encouraged to review the Calendar for information regarding all services available on campus.

Academic and Research Misconduct:

Academic misconduct is an act by a student, or by students working on a team project, which may result in a false evaluation of the student(s), or which repr esents a deliberate attempt to unfairly gain an academic advantage. Academic misconduct includes: please refer to the Undergraduate Academic Calendar.

Plagiarism Detection Software:

Wlfrid Laurier University uses software that can check for plagiarism. Students may be required to submit their written work in electronic form and have it c hecked for plagiarism.

STEP: Science & Technology Endowment Program

The Program was established in 1995, with the opening of the New Science Building. Students in the Departments of Biology, Chemistry, Physics and Computer Sc ience and Psychology approved a voluntary student contribution program designed to enhance educational experience and opportunities of undergraduate students in these areas. GET INVOLVED

Research Resources :

1. AAAI (Association for the Advancement of Artificial Intelligence)
2. IJCAI (International Joint Conference on Artificial Intelligence)
3. Artificial Intelligence an Elsevier journal
4. Annals of Mathematics and Artificial Intelligence a Springer journal
5. Machine Learning a Springer journal
6. Journal of Heuristics a Springer journal
7. Computational Intelligence a Wiley journal
8. LNAI (Lecture Notes in Artificial Intelligence) a Springer series
9. Canadian Artificial Intelligence Association Canadian Conference on Artificial Intelligence
10. Journal of Artificial Intelligence Research