Digital Systems

for Teaching Assistants, Graduates Service Assistants & Sessional Lecturers

TA - Winter 2027-CIS*3120 Digital Systems

Teaching Assistant Work Assignment

Type of Work Assignment and Bargaining Unit:

GTA, Unit 1

Academic Unit:

School of Computer Science

Semester(s) of Assignment(s):

Winter 2027

This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security Period:

Yes

Course Number:

CIS*3120

Course Name:

Digital Systems

Course Format:

In-Person

Course Description:

See Course Calendar

Other Course Description or Assignment Information:

The total number of assignments is a low estimate of the number of available appointments. The final number may be higher and it will depend on class enrolment at the time of assignment.

70

Level of Appointment for GTA, GSA-1 UTA(s)

The following is an estimate of number and levels of available appointments at the time of posting. This may change (increase or decrease) at the time of assignment contingent on departmental needs.

This Posting includes Multiple Work Assignments:

Yes

Number of Available 0.25 (35 hour) Work Assignments:

0

Number of Available 0.5 (70 hour) Work Assignments:

1

Number of Available 0.75 (105 hour) Work Assignments:

0

Number of Available Full 1.0 (140 hour) Work Assignments:

0

Total Number (Load) of Assignment(s) Available:

1

Duties and Responsibilities

Anticipated Duties and Responsibilities:

• Orientation-Training
• Office Hours
• Preparation
• Student Consultation
• Conducting Labs/Seminars
• Meetings
• Invigilating Exams
• Grading

Other Duties (specify below)

• Must be available to support the scheduled labs and office hours throughout the semester, as allocated by the instructor of the course.
• Weekly meetings, and be available to moderate online forums.
• Collaborating and mentoring.
• NOTICE: The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.

Qualifications

Required Qualifications:

• Must be enrolled as a student in Winter 2027 and able to complete in-person responsibilities.
• Completion of an undergraduate degree in Computer Science or Computer Engineering.
• Must be available to run all lab sections face-to-face.
• Must be available to mark homework assignments and lab exercises.
• Demonstrated knowledge of the subject area of digital systems either through success in CIS*3120 or a similar course on digital design.
• Experience using CourseLink for grade management.
• Familiarity with LogicWorks or another schematic-entry tool.
• Must be able to attend in-class tests and final exam.

Days Required and Wages

Days and Times Required:

See duties and qualifications above, as well as WebAdvisor for lecture and lab days and times. Must be available to complete TA duties as required until the end of the work period (May 7th, 2027).

Period of the Work Assignment (Start Date and End Date):

January 7, 2027 to May 7, 2027

Application Deadline (All postings will automatically expire at 11:59 pm on this day):

Thursday, November 12, 2026

Hiring Contact Information:

Christine Harris, Instructional Support Coordinator -

At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution. For more information, the Office of Diversity and Human Rights (DHR) is a welcoming, safe and confidential one-stop shop for information, training and support on issues relating to diversity and human rights on our campus.

All applicants must be eligible to work in Canada specifically at the University of Guelph before applying for an academic work assignment. All successful applicants must perform their work in Ontario and must be able to attend on-campus in-person meetings as required.

Teaching Assistant work assignments are unionized with CUPE 3913 and their terms and conditions of work are covered by the Unit 1 Collective Agreement between the University and CUPE 3913 (email contact: ).

The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.

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