University of Toronto Faculty of Information Emergency Job Posting : Sessional Instructional Assistant Summer Term 2025 (May : June 2025) 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. This course can be used to fulfil the "Technical" Professional Requirement. ischool.utoronto.ca/course/introduction:to:statistics:for:data:science/ Estimate of the course enrolment: 50 Number of Positions: 1 Size of appointment: 37.5 hours (dependent on course enrolment) Class Schedule: LEC Tuesdays and Thursdays 6:00PM : 9:00PM (all in person). 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 12, 2025 : June 30, 2025 Rate of Pay: Sessional Instructional Assistant : 52.26/hour plus vacation pay. 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. The candidate should have background and experience in working with programming and statistical software R/Python. Teaching experience is preferred. Brief description of duties: Assistance with course administration (labs, grading assignments, tests, exams), and other duties as assigned. Duties may include class attendance and 1 hour office hour after each major assignment given in class, typically 3 assignments x 1 hour each. Duties of this position shall be performed at the campus on which the position is located. Application Deadline: May 9, 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 : Devangi Vaghela, Payroll Administrator Faculty of Information, 140 St. George Street University of 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. All qualified candidates are encouraged ; however, Canadians and permanent residents will be given priority.