Location:
Main Campus
Session:
2025 Trimestre d’hiver Winter Term
Faculty:
Faculté de génie / Faculty of Engineering
Unit:
School of Electrical Engineering and Computer Science_PT
Course Title:
Data Structures and Algorithms
Course Code:
CSI2110
Section:
E
Course Description:
The concept of abstract data types. Simple methods of complexity analysis. Trees. The search problem: balanced trees, binary-trees, hashing. Sorting. Graphs and simple graph algorithms: traversal, minimum spanning tree. Strings and pattern matching.
Posting limited to:
Professeur à temps-partiel régulier / Regular Part-Time Professor
Date Posted:
May 07, 2024
Closing Date:
June 10, 2024
Note: Applications will be accepted until 11:59 PM on the day prior to the Posting End Date above
Expected Enrolment:
N/A
Approval date:
May 07, 2024
Number of credits:
3
Work Hours:
52
Course type:
B
Posting type:
Régulier / Regular
Language of instruction:
Anglais English
Competence in second language:
Passive
Course Schedule:
Mecredi Wednesday 19:00-22:00 – –
Requirements:
Excellent knowledge of course subject matter, demonstrated by having taught similar or related courses, or demonstrated by relevant work experience. Regular applicants must have a doctorate and it should be in a field related to the course (especially in the case where the course is more specialized), if not, they must have a relevant work experience in a field related to the course, after having obtained their Ph.D.
Please note that the teaching method for this course will be delivered: IN PERSON.
The contract for this course will include a payment for 52 hours (instead of 39 hours), as it is required that the part-time professor teaching this course attends tutorials at least one hour per week (on average).
Additional Information and/or Comments:
An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.
The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.
The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.
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