Sessional Lecturer - CSCHY- Introduction to Artificial Intelligence

Overview

Date Posted: 02/13/2026

Req : 46806

Faculty/Division: Faculty of Arts & Science

Department: Department of Computer Science

Campus: St. George (Downtown Toronto)

Course number and title: CSC
384H1Y - Introduction to Artificial Intelligence, LEC
5101

Please note, this position is a 0.5 FCE appointment.

Course description: Theories and algorithms that capture (or approximate) some of the core elements of computational intelligence. Topics include: search; logical representations and reasoning, classical automated planning, representing and reasoning with uncertainty, learning, decision making (planning) under uncertainty. Assignments provide practical experience, in both theory and programming, of the core topics.

Reference:

Estimated course enrolment: 125 students

Estimated TA support: one 60-hour TA position for every 30 students

Class schedule: Thursdays, 18:00-21:00

Please note that the delivery method for this course is currently in-person. The section delivery method may change as determined by the Faculty or the Department.

Sessional dates of appointment: May 1, 2026 – August 31, 2026

Salary: Sessional Lecturer I = $14,126.00;
Sessional Lecturer I - Long Term = $15,795.00;
Sessional Lecturer II = $15,795.00;
Sessional Lecturer II - Long Term = $16,907.00;
Sessional Lecturer III = $16,907.00;
Sessional Lecturer III - Long Term = $17,441.00

Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Minimum qualifications:

• Graduate degree in Computer Science or closely related field required.
• Demonstrated expertise in topic area of the course required.
• Strong organizational, interpersonal, and communication skills required.
• Teaching experience at the university level or equivalent industry level required.

Preferred qualifications:

• Previous experience teaching undergraduate courses in the field of Computer Science preferred.
• Demonstrated evidence of excellence in teaching preferred.

• Preparing and delivering the lectures in-person on campus as scheduled.
• Handling course administration including: maintaining the course website on Quercus; developing marking schemes/syllabus; planning tutorial content (when applicable); developing course assessments including assignments, projects, quizzes, tests, and final assessments.
• Providing appropriate contact time outside of class to students, through office hours, email, the course website and/or the course bulletin board.
• Preparing the breakdown of hours for TA duties in the course and supervising the TAs.
• Ensuring that tutorials and/or labs are delivered appropriately by the TAs as applicable.
• Managing the grading for the course, which is largely done by the TAs, and carrying out any grading not handled by the TAs.
• Invigilating term tests and the final exam when applicable.
• Managing the grades, including the timely completion and release of grades and feedback to students throughout the term; submitting final course grades (due September 8, 2026).

While there is a lot of room for creativity in course delivery, instructors will be expected to follow the basic content and style used by the faculty members who normally teach the course, and must get approval from these faculty members or from the Associate Chair for any substantial changes to the course content or assessment methods. Instructors will also be expected to consult with the department’s Teaching Support group when creating the course syllabus and course assessments (tests, assignments, projects, and final exam).

All individuals interested in this position must submit their application by using the following application form. The direct link is:  This includes submitting an updated Curriculum Vitae and the CUPE 3902 Unit 3 application form available at (Use the "Apply for this Job" box below). If you have any questions, please email: onto.edu.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). If you require any accommodations at any point during the application and…