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Sessional Lecturer, INF1343H LEC5101 - Data Modeling and Database Design

University of Toronto
Faculty of Information

Sessional Lecturer

Winter Term 2026 (January - April)

 

INF1343H LEC5101– Data Modeling and Database Design

Course Description: The purpose of this course is to provide an introduction to databases by analyzing their structure, content and measurement and by applying principles governing data modeling, database design and production with an emphasis on modeling, design and representation of content, decisions and tradeoffs involved in modeling, design and creation, and issues of standardization, security and emerging trends.

INF1343H - Data Modeling and Database Design

 

Estimate of the course enrolment: 70

 

Estimate of TA Support: Estimate of 75 hours with enrollment of 36 or greater. Allocation of TA hours, if any, will be based on enrolment numbers. 

 

Class Schedule: Wednesdays, 6:00-9:00pm. 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, 2026 - April 30, 2026

 

Salary: 
Sessional Lecturer I: $10,696
Sessional Lecturer I Long Term: $11,445
Sessional Lecturer II $11,445
Sessional Lecturer II Long Term: $11,713
Sessional Lecturer III: $11,713
Sessional Lecturer III Long Term: $11,986

 

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: Dec. 5, 2025

 

Application Process: Applicants must submit a CV and a completed CUPE 3902 Unit 3 application form in one pdf file to the attention of:  

 

Melissa Szopa, Administrative Coordinator, Academic
Faculty of Information, 140 St. George Street 
University of Toronto
sessional.ischool@utoronto.ca

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II and Sessional Lecturer III in accordance with Article 14:12.

Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca.


Job Segment: Database, Data Modeler, Technology, Data

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