You must obtain a minimum grade of 40% on the final exam to pass this course.
| Component | Percentage of Final Grade |
|---|---|
| 4 Assignments | 10% each, up to a total of 35% |
| 4 Tests | 5% each, 20% in total |
| Final Exam | 45% |
This course consists of five modules/topics: Search, Games, Constraint Satisfaction Problems (CSP), Uncertainty, and Knowledge Representation (KR). Each module has several lectures and a test (except that KR doesn't have a test). The tests will occur during the lecture time slots.
See the detailed course schedule below.
Please check the A&S page for the final exam schedule.
This course will require you to complete four substantial programming assignments. You will submit the assignments on MarkUs.
The assignments are individual. All the work you submit must be your own.
We will not accept late assignments. If you need an extension on an assignment for a valid reason, please follow the protocol outlined in the “Special Considerations Requests” section in the syllabus.
Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, 3rd Edition.
The textbook is not required. We will post lecture slides before class.
There are many ways to get in touch with us.
We will make important announcements on Piazza. Therefore, we strongly suggest you check Piazza at least once daily. The course staff, especially Alice and Randy, will check Piazza daily and aim to respond to questions within 48 hours.
Please follow these rules when you contact us:
Please come and talk with us during the instructor's office hours. We can chat about course materials or anything else. However, we will prioritize students who have course-related questions.
Please submit a remark request if you discover a marking error on an assignment or test. We will consider remark requests up to one week after we release the marks for an assignment or a test.
If you cannot complete an assignment on time or write a test due to extraordinary circumstances beyond your control, please apply for a Special Consideration by filling out the special considerations form and sending it to the course email with your supporting documentation.
Valid reasons to apply for a special consideration request:
Invalid reasons to apply for a special consideration request:
If you have difficulty managing stress and time, don't hesitate to contact your college registrars, who can suggest wellness counselling, academic advising, and/or learning strategist services.
Our special considerations policies are as follows.
Academic Integrity:
Academic integrity is essential to the pursuit of learning and scholarship in a university and ensuring that a degree from the University of Toronto is a strong signal of each student’s academic achievement. As a result, the University treats cheating and plagiarism very seriously. The University of Toronto’s Code of Behaviour on Academic Matters outlines the behaviours that constitute academic dishonesty and the processes for addressing academic offences. Potential offences include, but are not limited to:
In papers and assignments:
On tests and exams:
In academic work:
All suspected cases of academic dishonesty will be investigated following procedures outlined in the Code of Behaviour on Academic Matters. If students have questions or concerns about what constitutes appropriate academic behaviour or appropriate research and citation methods, they are expected to seek out additional information on academic integrity from their instructors or from other institutional resources.