05 Nov
|
University of Toronto
|
Toronto
05 Nov
University of Toronto
Toronto
Select how often (in days) to receive an alert:
Sessional Lecturer - CSC490H1S - Capstone Design Project
Date Posted: 11/02/2026
Req ID: 50894
Faculty/Division: Faculty of Arts & Science
Department: Dept of Computer Science
Campus: St. George (Downtown Toronto)
Description:
Course number and title: CSC490H1S - Capstone Design Project
Please note, this position is a 0.25 FCE appointment.
Course description: This course gives students experience solving a substantial problem that may span several areas of Computer Science. Students will define the scope of the problem, develop a solution plan, produce a working implementation, and present their work using written, oral, and (if suitable) video reports. Class time will focus on the project, but may include some lectures. The class will be small and highly interactive.
Estimated TA support: one 60-hour TA position for every 30 students
*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
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.
Graduate degreein Computer Science or closely related field required.
Demonstrated expertise in topic area of the course required.
Solid 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.
Experience working with application and machine learning infrastructure, such as Kubernetes, Terraform, AWS/Azure/GCP.
Experience fine-tuning language models using frameworks such as Tensorflow, Pytorch, Transformers.
Experience serving LLMs with frameworks such as TGI/VLLM/SGLang.
Experience prompting LLMs for a variety of classification and generation tasks.
Experience building APIs in Python using frameworks such as Django, Flask, FastAPI.
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 grading not handled by the TAs.
Invigilating term tests and the final exam when applicable.
Managing the grades, including the timely completion and release of grades and feedback to students throughout the term; submitting final course grades (due May 7, 2027).
While there is a lot of room for creativity in course delivery, instructors will be expected to follow the basic content and style used by the faculty members who normally teach the course, and must get approval from these faculty members or from the Associate Chair for any substantial changes to the course content or assessment methods. Instructors will also be expected to consult with the department’s Teaching Support group when creating the course syllabus and course assessments (tests, assignments, projects, and final exam)
The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.
Diversity Statement
The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples,Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities.We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening our academic mission.
As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see .
Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.
The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.
The University of Toronto has implemented a process to substantiate Indigenous Membership/Citizenship/Enrolment for candidates who identify as Indigenous. For more information about this process, please refer to the Indigenous Substantiation Website .
#J-18808-Ljbffr
📌 Sessional LecturerS - Capstone Design Project (Toronto)
🏢 University of Toronto
📍 Toronto