TA257060- Fall 2023-CIS*3130 Modelling of Computer Systems

Teaching Assistant Work Assignment
Posting Details
Type of Work Assignment and Bargaining Unit: 
GTA, Unit 1
Academic Unit: 
School of Computer Science
Semester(s) of Assignment(s): 
Fall 2023
This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security Period: 
Yes
Course Details
Course Number: 
CIS*3130
Course Name: 
Modelling of Computer Systems
Course Format: 
In-Class
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.
Projected Class Enrolment: 
59
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: 
No
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
Email Correspondence/Monitoring
Conducting Labs/Seminars
Meetings
Invigilating Exams
Grading
Qualifications
Required Qualifications: 
• As per the Collective Agreement, must be enrolled as a student in the Fall 2023 semester. • Excellent oral and written communication skills, and being able to communicate mathematical/statistical concepts on modeling and simulation to students effectively. • Ability to to conduct tutorials on calculus and probability to students who do not have the necessary exposure prior to the course. • Must be available to conduct scheduled labs in F19, and office hours (as allocated by the instructor of the course) throughout the semester. • An advanced knowledge of modeling and simulation of computer systems, including simulation using spreadsheets, event scheduling algorithms, statistical models in simulation, statistical hypothesis testing, input modeling, and validation of models. This knowledge should be demonstrated by a B+ (77%) or higher performance from an undergraduate course on system modeling and simulation or research experience on a subject with extensive use of system modeling and simulation. • Must be available to invigilate in-class midterm and final exams. • Normally, the completion of an undergraduate degree in Computer Science. • Given the shift towards online and hybrid course structures, all teaching assistants are required to maintain an internet connection strong enough to perform the duties required of their position during the duration of their contract. Potential TAs should apply with the understanding that a need to adapt to changing teaching situations may be required within the duration of the semester. • To help us facilitate instructor-TA interactions and pairings, please include your anticipated timezone in your application information.
Preferred Qualifications: 
• Previous successful TA experience supporting CIS*2460 (Modeling of Computer Systems) or courses similar to CIS*3130.
Days Required and Wages
Days and Times Required: 
See duties and qualifications above, as well as WebAdvisor for lecture and lab days and times.
Period of the Work Assignment (Start Date and End Date): 
September 5, 2023 to December 22, 2023
Wage Rate (per hour, per semester, per Full-load 1.0 Work Assignment): 
GTA $43.73/hr; $6125.96/semester effective 2022/23
Other Posting Information
Application Deadline (All postings will automatically expire at 11:59 pm on this day): 
Friday, July 7, 2023
Posting Email Contact: 
socspost@uoguelph.ca
Hiring Contact Information: 
Joshua Lange Instructional Support Coordinator jlange@uoguelph.ca

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: president@cupe3913.on.ca).

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