University of Toronto Faculty of Information Sessional Lecturer Fall Term 2025 (September : December) INF2167H : R for Data Science Course Description:Data science is a fast:growing field and new tools and techniques are designed everyday to perform data analysis in quick and robust ways. This course covers the fundamentals of data science using the R language and environment for statistical computing and graphics. R is currently widely used by information students and data scientists from various disciplines. The course will teach students how to do data science in an easy way. It is designed for students from the social sciences and from non:programming backgrounds. The course focus is not on learning a new programming language but rather on providing students with skills to approach various research questions that involve analysis of social sciences data. We will learn skills of data collection, storage, cleaning, transformation, visualization, and various techniques of data analysis. Most important, we will learn how those skills are applied in research involving the social world. We will apply those techniques to analyze structured tabular data, networked data, and unstructured text data through experimenting on real datasets, including online data. This course will provide students with a new skill highly in demand in the information and data sciences job markets. INF2167H : R for Data Science Estimate of the course enrolment:35 Estimate of TA Support:None anticipated. 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:September 1, 2025 : December 31, 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 and exams; grading; holding regular office hours. Application Deadline:May 22, 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 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.