Location:
Main Campus
Session:
2024 Trimestre d’automne Fall Term
Faculty:
Faculté de génie / Faculty of Engineering
Unit:
School of Electrical Engineering and Computer Science_PT
Course Title:
Structures de données et algorithmes
Course Code:
CSI 2510
Section:
Course Description:
Types abstraits de données. Méthodes simples d’analyse de complexité. Arbres. Recherche : arbres binaires, arbres équilibrés et hachage. Tris. Graphes et algorithmes simples pour graphes : parcours, arbre minimal recouvrant. Chaînes, patrons et filtrage.
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:
Français French
Competence in second language:
Passive
Course Schedule:
Mecredi Wednesday 13:00-14:30 Vendredi Friday 11:30-13:00 –
Requirements:
Excellente connaissance du contenu du cours, démontrée par l’enseignement de cours similaires, ou par expérience d’emploi pertinente. Postulants réguliers doivent avoir obtenu un doctorat et il devrait être obtenu dans un domaine pertinent à la matière du cours, particulièrement quand le cours soit plus spécialisé (ou expérience du travail dans un domaine relié après avoir obtenu leur doctorat).
Veuillez noter que ce cours sera dispensé par le mode d’enseignement EN PRÉSENTIEL.
Il est exigé que le professeur à temps partiel qui enseigne ce cours assiste aux tutoriels, au moins une heure par semaine (en moyenne). En contrepartie, ce contrat inclut un paiement de 52 heures (au lieu des 39 heures habituelles).
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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