for Teaching Assistants, Graduates Service Assistants & Sessional LecturersTA400711- Winter 2027-CIS*3700 Introduction to Intelligent SystemsTeaching Assistant Work AssignmentType of Work Assignment and Bargaining UnitGTA, Unit 1Academic UnitSchool of Computer ScienceSemester(s) of Assignment(s)Winter 2027This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security PeriodYesCourse NumberCIS*3700Course NameIntroduction to Intelligent SystemsCourse FormatIn-PersonCourse DescriptionSee Course CalendarOther Course Description or Assignment InformationThe 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.200Level 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 AssignmentsYesNumber of Available 0.25 (35 hour) Work Assignments0Number of Available 0.5 (70 hour) Work Assignments0Number of Available 0.75 (105 hour) Work Assignments0Number of Available Full 1.0 (140 hour) Work Assignments1Total Number (Load) of Assignment(s) Available1Duties and ResponsibilitiesAnticipated Duties and ResponsibilitiesOrientation-TrainingOffice HoursPreparationStudent ConsultationConducting Labs/SeminarsMeetingsInvigilating ExamsGradingOther Duties DescribedNOTICE:



The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.QualificationsRequired QualificationsMust 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.Must be available to support scheduled lab hours throughout the entire semester.Demonstrated knowledge on artificial intelligence and intelligent systems.Solid Python programming skills.Ability to grade written assignments according to a specified rubric.Strong organizational and time management skills.Preferred QualificationsPrevious successful TA experience supporting CIS*3700.Demonstrated knowledge of CIS*3700 subject area through course development or taking a similar undergraduate or graduate course. This includes search tree and heuristic search, decision tree learning, regression and artificial neural networks.Days Required and WagesDays and Times RequiredSee 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, 2027Other Posting InformationApplication Deadline (All postings will automatically expire at 11:59 pm on this day)Thursday, November 12, 2026Hiring Contact InformationInstructional Support Coordinator - [email protected] 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: [email protected]).The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.

📌 Introduction To Intelligent Systems (Clarington)
🏢 University of Guelph
📍 Clarington