Sessional Lecturer, INF2178H - Experimental Design for Data Science
Design, Data Science
Toronto, ON, Canada
CAD 10,889-12,202 / month
Sessional Lecturer, INF2178H - Experimental Design for Data Science
University of Toronto
Faculty of Information
Sessional Lecturer
Winter Term 2027 (January 2027 - April 2027)
INF2178H - Experimental Design for Data Science
Course Description:
At the heart of every Data Science project exists the planning, design and execution of experiments. Such experiments aim at understanding the data, potentially cleaning it and performing the necessary data analysis for knowledge discovery and decision-making. Without knowing the experimental design processes that are used in practice, researchers may not be able to discover what is really hidden in their data. The first aim of this course (INF2178H — Experimental Design for Data Science) is to look at existing experimental designs that take into account the questions that need to be answered as well as the nature of the data and the different parameters used by algorithms.
Subsequently, the course will introduce different qualitative and quantitative methods to assess the quality of the results.
All concepts will be accompanied by examples and the students will have practical exercises and a project in which they will demonstrate their knowledge.
Estimate of the course enrolment: 140
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: Monday- 2pm to 5pm, Winter-2027 semester.
Sessional dates of appointment: January 1, 2027 - April 30, 2027
Salary:
Sessional Lecturer I: $10,889
Sessional Lecturer I Long Term: $11,652
Sessional Lecturer II $11,652
Sessional Lecturer II Long Term: $11,924
Sessional Lecturer III: $11,924
Sessional Lecturer III Long Term: $12,202
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: September 8, 2026
Application Process: Applicants must submit a CV and a completed CUPE 3902 Unit 3 application form in one pdf file to the attention of:
Nafiseh Yazdian, Administrative Coordinator
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.
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