Sessional Lecturer - CSCHF - Enriched Data Structures and Analysis

Job Title

Sessional Lecturer - CSC
265H1F
- Enriched Data Structures and Analysis

Date Posted: 05/22/2026

Req : 48239

Faculty/Division: Faculty of Arts & Science

Department: Department of Computer Science

Campus: St. George (Downtown Toronto)

Course number and title: CSC
265H1F
- Enriched Data Structures and Analysis

Course description: This course covers the same topics as CSC
263H1, but at a faster pace, in greater depth and with more rigor, and with more challenging assignments. Greater emphasis will be placed on proofs, theoretical analysis, and creative problem‑solving. Certain topics briefly mentioned in CSC
263H1 may be covered in more detail in this course, and some additional topics may also be covered.

Estimated course enrolment: 40 students

Estimated TA support: one 60‑hour TA position

Class schedule: Mondays 15:00‑16:00, Wednesdays 15:00‑16:00, Fridays 15:00‑16:00

Delivery method: in‑person (may change as determined by the faculty or department)

Sessional dates of appointment: September 1, 2026 – December 31, 2026

• 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

Rates stipulated in the collective agreement shall prevail if they vary.

• Graduate degree in Computer Science or a closely related field required.
• Demonstrated expertise in the topic area of the course required.
• Strong organizational, interpersonal, and communication skills required.
• Teaching experience at the university level or equivalent industry level required.

• Previous experience teaching undergraduate courses in Computer Science preferred.
• Demonstrated evidence of excellence in teaching preferred.
• Experience leading companies and organizations within the technology sector preferred.
• Experience building long‑term partnerships between academic and industry organizations preferred.

• Preparing and delivering the lectures in‑person on campus as scheduled.
• Handling 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.
• 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 January 11, 2027).

Instructors may exercise creativity in course delivery, but must follow the basic content and style used by faculty members who normally teach the course and obtain approval for any substantial changes to content or assessment methods.

06/15/2026, 11:59PM EDT

The University of Toronto embraces diversity and is building a culture of belonging that increases our capacity to 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 and experiences are essential to strengthening our academic mission.

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.