Date Posted: 09/28/2026 Req ID: 50307 Faculty/Division: Faculty of Arts & Science Department: Dept of Computer Science Campus: St. George Downtown Toronto Description: Course number and title: CSC367H1S - Parallel Programming Position 1: CSC367H1S, LEC0101Position 2: CSC367H1S, LEC0201 Please note, this position is a 0.5 FCE appointment. Course description: Introduction to aspects of parallel programming. Topics include computer instruction execution, instruction-level parallelism, memory system performance, task and data parallelism, parallel models shared memory, message passing, synchronization, scalability and Amdahl's law, Flynn taxonomy, vector processing and parallel computing architectures. Reference: https://artsci.calendar.utoronto.ca/course/csc367h1 Estimated course enrolment: 125 students per section Estimated TA support: one 60-hour TA position for every 30 students Class schedule: Position 1: Mondays, Wednesdays, and Fridays 10:00-11:00Position 2: Mondays, Wednesdays, and Fridays 10:00-11:00 *Please note, the delivery method for this course is currently in-person. Please note that, in keeping with current circumstances, the section delivery method may change as determined by the Faculty or the Department. Sessional dates of appointment: January 1, 2027 – April 30, 2027 Salary: Sessional Lecturer I = $9,997.48 Sessional Lecturer I - Long Term = $10,699.22 Sessional Lecturer II = $10,699.22 Sessional Lecturer II - Long Term = $10,953.96 Sessional Lecturer III = $10,953.96 Sessional Lecturer III - Long Term = $11,228.90 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. Minimum qualifications: Graduate degree in Computer Science or closely related field required. Demonstrated expertise in topic area of the course required. Strong organizational, interpersonal, and communication skills required. Teaching experience at the university level or equivalent industry level required. Preferred qualifications: Previous experience teaching undergraduate courses in the field of Computer Science preferred. Demonstrated evidence of excellence in teaching preferred. Description of duties: Preparing and delivering the lectures in-person on campus as scheduled. Handling course administration including: maintaining the course website on Quercus; developing marking schemes/syllabus; planning tutorial content when applicable; developing course assessments including assignments, projects, quizzes, tests, and final assessments. Providing appropriate contact time outside of class to students, through office hours, email, the course website and/or the course bulletin board. Preparing the breakdown of hours for TA duties in the course and supervising the TAs. Ensuring that tutorials and/or labs are delivered appropriately by the TAs as applicable. Managing the grading for the course, which is largely done by the TAs, and carrying out any
