The Analysis and Design of Computer Algorithms

University of Guelph; Guelph; On-site; CAD 28,000 - 39,000; Part time

Job summary

The University of Guelph is seeking qualified Teaching Assistants for the Winter 2027 term in CIS*3490 The Analysis and Design of Computer Algorithms. Roles include facilitating labs, office hours, grading, and student consultations for in-person sessions.

Successful applicants must be enrolled as students in Winter 2027, able to work in Ontario, and prepared to mentor peers. This posting supports multiple assignments and requires collaboration with course instructors to deliver labs weekly.

Qualifications

• Must be enrolled as a student in Winter 2027 and able to complete in-person responsibilities.
• Excellent writing skills and ability to critique (in writing) student assignments.
• Ability to communicate computer science concepts to students effectively, both in written form and verbally.
• Background in Computer Science; demonstrated knowledge of CIS*3490 subject area.
• Must be able and willing to teach at least one in-person lab each week.
• Preferred: Previous successful TA experience supporting CIS*3490.

Responsibilities

• Orientation-Training
• Office Hours
• Preparation
• Student Consultation
• Conducting Labs/Seminars
• Meetings
• Invigilating Exams
• Grading
• Other Duties Described: Must be available to support scheduled labs and facilitate office hours throughout the semester, as allocated by the instructor.

Skills

Excellent writing skills

Explain CS concepts clearly

Mentoring and tutoring

Education

Enrolled student in Winter 2027

Job description

for Teaching Assistants, Graduates Service Assistants & Sessional Lecturers

TA400709- Winter 2027-CIS*3490 The Analysis and Design of Computer Algorithms

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*3490

Course Name:

The Analysis and Design of Computer Algorithms

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.

150

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:

0

Number of Available 0.75 (105 hour) Work Assignments:

0

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

1

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)

Other Duties Described: Must be available to support the scheduled labs, and facilitate office hours throughout the semester, as allocated by the instructor of the course. Weekly meetings, and be available to moderate online forums, if applicable, as assigned by the instructor. Collaborating and mentoring. Must be able and willing to teach at least one in-person lab each week.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. Must have excellent writing skills and be able to effectively critique (in writing) student assignments. The ability to communicate computer science concepts to students effectively, both in written form and verbally. Background in Computer Science. Must be able and willing to teach at least one in-person lab each week. Demonstrated knowledge of CIS*3490 subject area.

Preferred Qualifications: Previous successful TA experience supporting CIS*3490. Demonstrated knowledge of subject area through course development or having recently taken a similar undergraduate or graduate course.

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

Wage Rate (per hour, per semester, per Full-load 1.0 Work Assignment):

Other Posting Information

Application Deadline (All postings will automatically expire at 11:59 pm on this day): Thursday, November 12, 2026

Posting Email Contact:

Hiring Contact Information:

Instructional Support Coordinator - [e-mail]

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: [e-mail]).

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