Software for Legacy Systems

University of Guelph; Guelph; On-site; CAD 22,000 - 34,000; Part time

Job summary

University of Guelph in Ontario, Canada invites applications for Winter 2027 for Teaching Assistant work in CIS 3190: Software for Legacy Systems. The role includes orientation, office hours, grading, and student consultation, with online engagement and exam duties throughout the term.

Strong written communication and prior distance-education experience are valued. Posting notes indicate multiple assignments with a total load of 1.0 across the semester; positions require on-campus availability

Qualifications

• Must be enrolled as a student in Winter 2027.
• Excellent written feedback and instruction skills for online courses.
• Experience with distance education as student or TA is preferred.
• Demonstrated knowledge of command-line programming and Unix systems.
• Familiarity with Ada, Fortran, or Cobol programming languages.
• Ability to grade using online rubrics and explain CS concepts clearly.

Responsibilities

• Orientation and training for students.
• Offer office hours and student consultations.
• Prepare materials and participate in meetings.
• Invigilate exams and grade assignments.
• Respond to online student questions daily and mentor students.
• Support scheduled office hours and lead online forum moderation as assigned.
• Note: AI usage must be approved in writing by the supervisor or instructor.

Skills

Strong written communications

Distance education experience

Command-line programming

Unix-based systems

Ada

Fortran

Cobol

Online rubrics usage

CS concepts explanation

Job description

for Teaching Assistants, Graduates Service Assistants & Sessional Lecturers

TA356352- Winter 2027-CIS*3190*DE Software for Legacy 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*3190*DE

Course Name:

Software for Legacy Systems

Course Format:

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.

200

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
• Meetings
• Invigilating Exams
• Grading
• Other Duties (specify below)

Other Duties Described

Positions entail marking assignments, (must be able to return marked assignments on time); as well as answering students' questions on-line on a daily basis throughout the semester. Be available for appointments for student mentorship. Re-grading of assignments as necessary. Collaborating and mentoring. Must be available to support scheduled office hours throughout the entire semester, weekly meetings, and be available to moderate online forums, if applicable, as assigned by the instructor.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.
• Very strong written communications skills, with a focus on providing feedback and instructions.
• Experience with distance education courses either as a student or as a TA.
• A demonstrated knowledge of command-line programming, and Unix-based systems.
• Knowledge in one (or more) of the programming languages Ada, Fortran, or Cobol.
• Ability to grade assignments using online rubrics.
• The ability to communicate computer science concepts to students effectively, both in written form and verbally.

Preferred Qualifications

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

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.