Description
:This course covers the analysis of user requirements, the design of optimization models, and the implementation of solutions to improve efficiency and performance. It introduces the key concepts of systems thinking, emphasizing its application to both economic and hierarchical systems, and highlights the application of simulation, modeling, optimization, and management to economic systems.Posting limited to:
Professeur à temps-partiel régulier / Regular Part-Time ProfessorDate Posted (YYYY/MM/DD):
2026/07/06Applications must be received BEFORE (YYYY/MM/DD):
2026/08/07Expected Enrolment:
40Approval date:
2026/07/06Number of credits:
3Work Hours:
39Hourly Rate:
Enseignement / Teaching: $239.47 (2024-2025)The academic year starts on September 1 and ends on August 31.
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.
Course type:
BPosting type:
Régulier / RegularLanguage of instruction:
Anglais | EnglishCompetence in second language:
ActiveCourse Schedule:
Mercredi | Wednesday 19:00-22:00 - -Requirements:
• Ph.D. in computer science, engineering, mathematics, operations research, or a closely related field with strong focus on AI/ML is required.
• Experience teaching a similar course at the graduate level and/or undergraduate level
• Experience working on projects involving optimization techniques, such as developing algorithms, modelling complex systems, or improving business processes, with applications in AI, machine learning, or data-driven decision systems.
• Experience working with optimization tools and computational methods, such as Python, MATLAB, and/or optimization libraries/solvers
• Familiarity with AI or data-driven approaches in optimization, such as machine learning-enhanced optimization, heuristic methods, and intelligent decision systems.
• Demonstrated industry experience applying AI, optimization, or data-driven methods to real-world problems including areas such as system optimization, data analysis, or process improvement, is highly desirable
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.
APTPUO-Fall 2026-MIA5130 (online) • Ottawa, ON, CA
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