Sessional Lecturer, INF1344H - Introduction to Statistics for Data Science
Toronto, ON, CA
University of Toronto
The University of Toronto is a globally top-ranked public research university in Toronto, Ontario, Canada.University of Toronto
Faculty of Information
Sessional Lecturer
Summer Term 2025 - Session F (May - June)
INF1344H – 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.
INF1344H – Introduction to Statistics for Data Science
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: 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, 2025 – June 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: February 18, 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: PhD Statistics Teaching
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