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Subject Matter Expert – Course Development (Algorithm Design and Analysis I)

Job Information
Author pmnationtalk
Date January 4, 2019
Type Full Time
Company Wilfrid Laurier University
Location Waterloo,ON
Category Research / Development
Client Wilfrid Laurier University
Contact Information
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Posting ID : 10001
Position Title : Subject Matter Expert – Course Development (Algorithm Design and Analysis I)
Faculty/Academic Area : Faculty of Science
Department : Physics and Computer Science
Campus : Waterloo
Position Summary :

The Faculty of Science at Wilfrid Laurier University invites applications to develop an online course beginning on or before January 3, 2019 and concluding by no later than June 30, 2019.

The opportunity to teach the course once it is developed will be available to the successful candidate. The online course, CP312: Algorithm Design and Analysis I, is intended for the senior undergraduate students in BSc Computer Science program. Description of the course follows. Analysis of the best, average, and worst-case behaviours of algorithms. Algorithmic strategies: brute force algorithms, greedy algorithms, divide-and-conquer, branch and bound, backtracking. Fundamental computing algorithms: O(n log n) sorting, hash table, binary trees, depth- and breadth-first search of graphs. Students learn the skill of understanding the computational complexities of computing problems and designing solutions for them.

The Subject Matter Expert (SME) will work collaboratively as part of an online course design team comprising instructional designers, educational technologists, accessibility experts, librarians, faculty advisors, the Online Learning Department, and other support staff to develop the online course curriculum. Learning outcomes, the grading scheme and other aspects related to learning activities within the course have already been determined. The SME will prepare a course syllabus, academic student support materials, activities for the web, multimedia materials, and learning and study strategies. The SME will be required to submit all work to the academic advisors for review and final approval.

Applicants should have an MSc, or preferred PhD, in the field of computer science or data science, and extensive experience in the subject matter of Algorithm Design. Success in teaching online courses, experience in developing and/or teaching in an online environment, and a receptivity to pedagogical approaches that specifically embrace online learners are preferred. Knowledge of learning management systems (particularly Brightspace from Desire2Learn) would be an asset.

Applicants should send a curriculum vitae and contact information for at least three referees to:
Dr. Chinh T. Hoang, Chair Department of Physics and Computer Science, Wilfrid Laurier University (email:

Electronic submission of applications is preferred. Applications will be accepted until December 31, 2019.
Please Note :Wilfrid Laurier University is committed to equity and values diversity. Laurier welcomes applications from qualified candidates who identify as Indigenous, racialized

or having disabilities, and qualified candidates of any sexual and gender identity. All qualified candidates are encouraged to apply; however, as per Canadian immigration laws, Canadians and permanent residents will be given priority. To comply with the Government of Canada’s reporting requirements, the University is obligated to gather information about applicants’ status as either Permanent Residents of Canada or Canadian citizens. Applicants need not identify their country of origin or current citizenships, however, all applicants must include one of the following statements in their cover letter:

Yes, I am a current citizen or permanent resident of Canada;
No, I am not a current citizen or permanent resident of Canada
Members of designated groups must self-identify to be considered for employment equity. Candidates may self-identify, in confidence, to the Acting Dean, Dr. Ken Maly ( Further information on the equity policy can be found at .
Applicants are encouraged to address any career interruptions or special circumstances that may have affected their record of research and teaching, in accordance with SSHRC and NSERC definitions and guidelines. To obtain a copy of this job description in an accessible format, please email
The Faculty of Science wishes to thank all applicants for their interest. All nominations and applications shall be reviewed and considered under a set of criteria established by the Search Committee and a short list of candidates shall be interviewed. Only those applicants selected for the short list will be contacted.
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