Sessional Lecturer, INF- Introduction to Statistics Data Science

Overview

Sessional Lecturer, INF
1344H - Introduction to Statistics for Data Science
University of Toronto
Faculty of Information

Sessional Lecturer

Summer Term 2026 – Session F (May – June)

INF
1344H – Introduction to Statistics for Data Science

Course Description: This course will provide students an introduction to statistics and statistical methods. It is intended and designed for students who have little or no familiarity with statistics in the Master of Information program so that their knowledge base is built on a solid foundation, which will prepare them for advanced data science courses in the program. This course emphasizes the application of statistical concepts and methods.

This course will help students develop the ability to use quantitative methods to describe real world situations and to make ethical inferences and decisions based on the statistical results. Students will strengthen critical thinking skills to assess the value and limitations of measures and statistical estimates. This course will help students learn to construct reports that include meaningful charts, tables, and graphs for various audiences and that provide text that is appropriate for different audiences.

The course will have lab sessions throughout the semester. The purpose of the lab session is to provide students with hands-on experience with data handling and regression analysis.

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: 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: May 1, 2026 – June 31, 2026

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.

Nafiseh Yazdian, Administrative Coordinator
Faculty of Information, 140 St. George Street University of Toronto
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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

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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.

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