Python • ottawa on
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Description
of tasks (hours):Unless specified below, specific allocation of hours to various tasks should be articulated in a description of work negotiated and signed by you and the supervising professor prior to the commencement of work.
Recherche / Research:0Préparation / Preparation:0Contact avec étudiants / Contact with Students:0Correction - Notation / Grading:0Surveillance / Proctoring:0Formation / Training:0Autre / Other:0Number of positions:
4Expected Enrolment:
225Work Start Date:
September 01, 2026Work End Date:
December 31, 2026Total Work Hours:
130Hourly Rate:
AE-RA-Tuteur / TA-RA-Tutor : $31.89 ou/or $50.25 (2024-2025)The academic year starts on September 1 and ends on August 31.
Undergraduate students will be paid at the lower rate; while graduate students will be paid at the higher rate.
These rates do not included vacation pay nor statutory pay.
These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.
Language of Work:
Anglais | EnglishRequirements and Nature of Work:
Nature of Work:
1. Prepare and test Jupyter Python Notebook on diverse topics of Artificial Intelligence. 2. Be available for weekly consultation hours to help students with Python assignments 3. Be available throughout the semester for email/in person help for the students in their AI project. 4. Evaluate the Python assignments. 5. Evaluate the AI project.
Minimum Requirements:
Preference will be given to applicants who have completed this course with a grade of A or better. A thorough knowledge of the course material is required. Here are the topics to know: heuristic searches, constraint satisfaction problems, machine learning (naive bayes, neural networks), knowledge representation (semantic networks), automatic language processing and reasoning system (logic). Ability to solve exercises and program their solutions in Python programming language. Be available for weekly consultation hours to help students with their assignments/projects (Python programming).
Please note that the teaching method will be delivered: in person.
NOTE: le nombre de postes et le nombre d'heures offertes sont tous deux assujettis aux inscriptions finales dans ce cours. Please note that the number of hours offered may varie due to enrolments in that course.
Additional Information and/or Comments:
All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University. The list of training requirements may be modified by provincial law.
