Sessional Lecturer - Introduction to Computer Science

Sessional Lecturer – CSC148H1S – Introduction to Computer Science, LEC5101 Job posted: 05/22/2026 Req ID: 48242 Faculty/Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George (Downtown Toronto) Course Overview Course number and title: CSC148H1S – Introduction to Computer Science, LEC5101 Course description: Abstract data types and data structures for implementing them. Linked data structures. Encapsulation and information‑hiding. Object‑oriented programming. Specifications. Analyzing the efficiency of programs. Recursion. This course assumes programming experience as provided by CSC108H1. Practical (P) sections consist of supervised work in the computing laboratory. These sections are offered when facilities are available, and attendance is required. Note: Students may request to move from CSC148H1 to CSC108H1 after the last day to add classes and before a deadline set by the course instructors, if space is available in CSC108H1 at the time of the request. Reference: Estimated course enrolment: 200 students Estimated TA support: one 60‑hour TA position for every 30 students Class schedule: Tuesdays 18:00‑21:00 Delivery method: currently in‑person; may change as determined by the Faculty or the Department. Sessional dates of appointment: January 1, 2027 – April 30, 2027 Salaries (per term) Sessional Lecturer I: $14,381.00 Sessional Lecturer I – Long Term: $16,080.00 Sessional Lecturer II: $16,080.00 Sessional Lecturer II – Long Term: $17,212.00 Sessional Lecturer III: $17,212.00 Sessional Lecturer III – Long Term: $17,755.00 Minimum Qualifications Graduate degree in Computer Science or a closely related field. Demonstrated expertise in the topic area of the course. Strong organizational, interpersonal, and communication skills. Teaching experience at the university level or equivalent industry level. Preferred Qualifications Previous experience teaching undergraduate courses in the field of Computer Science. Demonstrated evidence of excellence in teaching. Description of Duties Prepare and deliver the lectures in person on campus as scheduled. Handle course administration, including maintaining the course website on Quercus, developing marking schemes and syllabus, planning tutorial content (when applicable), and developing course assessments such as assignments, projects, quizzes, tests, and final assessments. Provide appropriate contact time outside of class to students through office hours, email, the course website, and/or the course bulletin board. Prepare the breakdown of hours for TA duties in the course and supervise the TAs. Ensure that tutorials and/or labs are delivered appropriately by the TAs as applicable. Manage the grading for the course, which is largely done by the TAs, and carry out any grading not handled by the TAs. Invigilate term tests and the final exam when applicable. Manage the grades, including the timely completion and release of grades and feedback to students throughout the term; submit final course grades by May 7, 2027. Instructors will be expected to follow the basic content and style used by the faculty members who normally teach the course, and must obtain approval from these faculty members or the Associate Chair for any substantial changes to the course content or assessment methods. Instructors will also consult with the department’s Teaching Support group when creating the course syllabus and course assessments (tests, assignments, projects, and final exam). Application Instructions Submit your application by using the following application form: Include an updated Curriculum Vitae and complete the CUPE 3902 Unit 3 application form available at For questions, email View email address on click.appcast.io. The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). 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, email View email address on click.appcast.io. Closing date: 06/15/2026, 11:59 PM EDT 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. Accessibility Statement The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). We strive to make our recruitment, assessment, and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities. For assistance, contact View email address on click.appcast.io. Job Segment Computer Science, Cloud, Equity, Laboratory, Technology, Science, Finance #J-18808-Ljbffr