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Sessional Lecturer, INF482H1

4 months ago

Toronto, Canada University of Toronto Full time

University of Toronto
Faculty of Information

Sessional Lecturer

Winter Term 2025 (January - April)

INF482H1 – Special Topics in Information Studies II: AI

Course Description: This undergraduate course provides a comprehensive introduction to the intriguing world of Artificial Intelligence (AI), covering its historical development, fundamental principles, scope, diverse application areas, experimentation, ethical implications, and the possible futures. Students will acquire a comprehensive understanding of AI’s evolution, capabilities, and impact on society through a combination of engaging lectures, interactive discussions, hands-on experiments, and ethical discussions. This course encourages students to envisage AI’s transformative potential in shaping a more intelligent and ethical future and offers them a chance to acquire the knowledge to engage with the field in relevant and ethical ways. This Special Topics course complements INF412 (Data Analytics: Informed Decisions Using Data).

Estimate of the course enrolment: 35

Estimate of TA Support: None anticipated.Estimate of 75 hours with enrollment of 36 or greater. Allocation of TA hours, if any, will be based on enrolment numbers.


Class Schedule: TBD. You are required to be located in geographical proximity to the applicable University premises in order to attend and perform your duties on University premises as of the Starting Date.


Sessional dates of appointment: January 1, 2025 - April 30, 2025

Salary: 
Sessional Lecturer I: $10,300
Sessional Lecturer I Long Term: $10,764
Sessional Lecturer II $11,021
Sessional Lecturer II Long Term: $11,227
Sessional Lecturer III: $11,279
Sessional Lecturer III Long Term: $11,485

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.

Qualifications: Preferably candidates will have a completed, or nearly completed, PhD degree in an area related to the course or a Master’s degree plus extensive professional experience in an area related to the course. Teaching experience is preferred.

Brief description of duties: Preparing course materials; delivering course content (e.g., seminars, lectures, and labs); developing and administering course assignments, tests & exams; grading; holding regular office hours. 

Application Deadline: June 27, 2024

Application Process: