CP468 ARTIFICIAL INTELLIGENCE, FALL 2018, WLU
The course covers concepts and techniques in artificial intelligence and machine learning.
CP213 Introduction to Object-Oriented Programming
Dr. Ilias S. Kotsireas
Office: N2076A, Office Hours: 24/7 and by appointment, Phone: 884-0710 ext. 2218, E-Mail: ikotsireATwlu.ca
Important Course Information
Artificial Intelligence: A Modern Approach
S. Russell, P. Norvig, Prentice Hall
Textbook Support Website http://aima.cs.berkeley.edu
Notes & Overheads
Lecture Topics (corresponding to the 12 weeks schedule)
- Introduction, Intelligent Agents
- Problem solving, searching
- Metaheuristics I: Local Search, Tabu Search, Hill Climbing
- Metaheuristics II: Simulated Annealing, Genetic Algorithms, Ant Colony Optimization
- Constraint Satisfaction Problems
- Automated Reasoning, Prolog
- Knowledge Representation
- Knowledge-based systems
- Machine Learning
- Neural Networks I: Architectures, Pattern Classification
- Neural Networks II: Single-layer, Multi-layer
- Term Projects Presentations
Class Schedule, Fall Semester Timetable
| Mon | Wed |
| 17:30-18:50 | 17:30-18:50 |
| BA208 | BA208 |
| | |
Week 1: | Sep 10 | Sep 12 |
Week 2: | Sep 17 | Sep 19 |
Week 3: | Sep 24 | Sep 26 |
Week 4: | Oct 01 | Oct 03 |
Fall Study Break, Oct 08 - 12 No Courses
Week 5: | Oct 15 | Oct 17 |
Week 6: | Oct 22 | Oct 24 |
Week 7: | Oct 29 (M) | Oct 31 |
Week 8: | Nov 05 | Nov 07 |
Week 9: | Nov 12 | Nov 14 |
Week 10: | Nov 19 | Nov 21 |
Week 11: | Nov 26 | Nov 28 |
Week 12: | Dec 03 | Dec 05 |
| | |
Course Requirements/Student Evaluation
- The course final grade is computed based on the 4 components:
A1, A2, M, TP, explained in more detail below.
- A1, A2, TP, are groupwork.
Students are required to form groups (of 4 students each) to work on A1 A2 TP collaboratively.
Each group will receive a number (GroupID), on a first-come-first-served basis)
- 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 groupwork submission:
- Late submissions will be marked with 0.
- All assignment submissions will be on MyLS only.
- All assignment submissions must be typeset (LaTeX, Word).
- All assignment submissions must be by .pdf file attachment only.
- Please upload one .pdf file only, for the entire assignment.
- Use the following naming schemes, for your .pdf files:
CP468-A1-GroupID.pdf CP468-A2-GroupID.pdf CP468-TP-GroupID.zip
(these are dash characters, not underscores)
- Your submissions should have a cover page, all pages should be
numbered and on each page include a header with your GroupID, course code, submission date, and A1/A2
- Submissions that violate any of the above requirements, will not be accepted/marked.
- (M) Midterm: 30%, October 29, 2018, in class.
- (TP) Term Project: 30%, due date: December 05, 2018
All students will be required to prepare a Term Project, details in class.
Each group will have to deliver a project document and conduct a project demonstration.
Term Project Demonstrations Schedule
(You are strongly advised to upload your presentation materials on the classroom computer beforehand,
and/or test your laptop with the classroom console beforehand,
to avoid unexpected delays, arising due to technical difficulties, during your presentations)
Group IDs, for A1, A2, TP, listed in a FIPPA-compliant manner, i.e. anonymized
FIPPA == Freedom of Information and Protection of Privacy Act
Term Project Presentations Schedule: Monday December 03 2018
Group 1: SGA 5:30-5:40
Group 2: SGA 5:40-5:50
Group 3: SGA 5:50-6:00
Group 4: NQ 6:00-6:10
Group 5: PP 6:10-6:20
Group 6: NQ 6:20-6:30
Group 7: SGA 6:30-6:40
Term Project Presentations Schedule: Wednesday December 05 2018
Group 8: NQ 5:30-5:40
Group 9: PQ 5:40-5:50
Group 10: NQ 5:50-6:00
Group 11: PP 6:00-6:10
Group 12: Chess 6:10-6:20
Group 13: NQ 6:20-6:30
Group 14: NQ 6:30-6:40
- AAAI (Association for the Advancement of Artificial Intelligence)
- IJCAI (International Joint Conference on Artificial Intelligence)
- Artificial Intelligence an Elsevier journal
Annals of Mathematics and Artificial Intelligence a Springer journal
- Machine Learning a Springer journal
- Journal of Heuristics a Springer journal
- Computational Intelligence a Wiley journal
- LNAI (Lecture Notes in Artificial Intelligence) a Springer series
- Canadian Artificial Intelligence Association Canadian Conference on Artificial Intelligence
- ACM Special Interest Group on Artificial Intelligence ACM Special Interest Group on Artificial Intelligence
- Journal of Artificial Intelligence Research
University and Course Policies (senate approved)
Special Needs: Students with disabilities or special needs are advised to contact Laurier’s Accessible Learning Centre for information regarding its services and resources. Students are encouraged to review the Academic Calendar for information regarding all services available on campus.
Plagiarism: Wilfrid Laurier University uses software that can check for plagiarism. If requested to do so by the instructor, students are required to submit their written work in electronic form and have it checked for plagiarism.
Academic Integrity: Laurier is committed to a culture of integrity within and beyond the classroom. This culture values trustworthiness (i.e., honesty, integrity, reliability), fairness, caring, respect, responsibility and citizenship. Together, we have a shared responsibility to uphold this culture in our academic and nonacademic behaviour. The University has a defined policy with respect to academic misconduct. As a Laurier student you are responsible for familiarizing yourself with this policy and the accompanying penalty guidelines, some of which may appear on your transcript if there is a finding of misconduct. The relevant policy can be found at Laurier's academic integrity website along with resources to educate and support you in upholding a culture of integrity. Ignorance is not a defense.
Classroom Use of Electronic Devices: Read WLU policy 9.3 Classroom Use of Electronic Devices.
Late Assignment Policy: late assignments will be marked with 0.
Final Examinations: Students are strongly urged not to make any commitments (i.e., vacation) during the examination period. Students are required to be available for examinations during the examination periods of all terms in which they register. Refer to the Handbook on Undergraduate Course Management for more information.
Foot Patrol, the Wellness Centre, Student Food Bank.