SL273507-Winter 2024-CIS*2910 Discrete Structures in Computing II

Sessional Lecturer Work Assignment
Sessional Lecturer, Unit 2
Academic Unit: 
School of Computer Science
Semester(s) of Assignment(s): 
Winter 2024
Number of Available Work Assignment(s) / Sections: 
1
Level of Work Assignment(s): 
1
Right of First Refusal (RoFR)
A Sessional Lecturer holds a RoFR (i.e., for a particular course) if they have successfully taught the course in the past six (6) semesters. A SL who holds a RoFR to this course is required to exercise their right by way of the online hiring system. Also see: What is Right of First Refusal (RoFR)?
A Sessional Lecturer Currently Holds a Right of First Refusal for this Course: 
Yes
Number of Assignments that Carry the Right of First Refusal: 
1
Course Details
Course Number: 
CIS*2910
Course Name: 
Discrete Structures in Computing II
Course Format: 
In-Class
Course Description: 
See Course Calendar
Other Course Description or Assignment Information: 
The University of Guelph has vaccination and masking policies that may be altered with limited notice depending on COVID-19 circumstances and advice from government, public health authorities, and prevailing science. Currently, the vaccination and masking policies are paused. With the evolving nature of the pandemic, public health measures may resume with little advance notice to address the health risks. Should this occur, vaccinations will be required. You can choose to submit proof of vaccination before your start date. The University of Guelph has a COVID-19 Vaccination Policy and provides more Information about COVID-19 for Faculty and Staff. --- Please contact Joshua Lange (jlange@uoguelph.ca) should you like to discuss the options for the delivery of this course prior to making an application. The School of Computer Science is committed to ensuring that our students are provided with a high standard of teaching excellence. Part of this commitment is the distribution of Teaching Assistant resources to course sections in a fair and transparent manner. Resources within the the School of Computer Science will be distributed in a fair manner that takes into consideration: Level of course; Pedagogical requirements of the course including use of seminars, tutorials, and laboratories; Delivery method and requirements (e.g., Distance education vs. in-class course formats); Number of students; Workload considerations (including the overall workload of instructor); Department and College norms; and, Budgetary constraints. It is expected that the number of teaching assistants assigned to courses may vary from offering to offering based on the above factors. Distribution of teaching assistant resources is determined by the Chair/Director. Requests for teaching assistant resources should be made as soon as practicable.
Projected Class Enrolment: 
200
Anticipated Duties and Responsibilities
Anticipated Duties and Responsibilities: 
Orientation-Training
Office Hours
Preparation
Student Consultation
Lecturing
Email Correspondence/Monitoring
Conducting Labs/Seminars
TA Coordination Meetings
Invigilating Exams
Grading
Other Duties (specified below)
Other Duties Described: 
• Attending meetings, as required. • Managing the Teaching Assistants for the course. • Attending meetings with students and be available for advising times. • Developing assignments and marking schemes. • Providing course materials and assignments to students. • Providing evaluations to student securely and confidentially. • Instructors must hold a face-to-face meeting with teaching assistants at the beginning and end of term.
 • Instructors must be available for face-to-face advising times with students, as required by the students.
 • Instructors must be available to invigilate any on-campus examinations.
Qualifications
Required Qualifications
Degree: 
Other
PhD or MSc in Computer Science
Prior Teaching Experience: 
Many years of successful teaching related to contents of the course.
Other
Experience teaching large class sizes in a post-secondary format.
Required competence, capability, skill and ability related to course content: 
• Thorough knowledge of the subject area, including Boolean algebra, propositional logic, predicate logic, proof techniques, set theory, equivalence relations, order relations, functions, sequences, summations, recursion, combinatorics, discrete probability, and graph theory. • Student evaluations from previously taught courses are primarily positive. • Excellent written and oral communication skills. • Strong student teaching evaluations for the instructor rating. • Ph.D. or M.Sc. with Appropriate Experience in Computer Science or Mathematics. Consideration will also be made for candidates with strong experiential skills related to the course. • Student evaluations from previously taught courses are primarily positive.
Preferred Qualifications
Degree: 
Other
PhD in Computer Science or Mathematics
Prior Teaching Experience: 
Many years of successful teaching related to contents of the course.
Experience teaching large class sizes in a post-secondary format related to Computer Science courses.
Specific Preferred competence, capability, skill and ability related to course content: 
• Experience creating interactive course materials with Courselink or Moodle. • Experience using tools like forums and drop boxes in a course setting.
Days Required and Wages
Days and Times Required: 
Official start date may vary. Any other days/times, as required. duties and qualifications above, as well as WebAdvisor for lecture and lab days and times. Lecture times TBA, expect 2-3 times per week, 1-1.5 hours per lecture. More information will be provided at the interview phase of the process.
Period of the Work Agreement (Start Date and End Date): 
January 4, 2024 to April 30, 2024
Wages (per semester, per full-load): 
minimum $7,758.48 (effective 2022/23)
Other Posting Information
Application Deadline (All postings will automatically expire at 11:59 pm on this day): 
Friday, November 10, 2023
Posting Email Contact: 
socspost@uoguelph.ca
Hiring Contact Information: 
Minglun Gong, Director, School of Computer Science
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.
SL work assignments are unionized with CUPE3913 and their terms and conditions of work are covered by the Unit 2 Collective Agreement between the University and CUPE 3913 (email contact: president@cupe3913.on.ca).

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 reside in Ontario and must be able to attend on-campus in-person meetings as required.