ATPUO - Winter 2027 - ADM3396M - Seminar on Administration: Generative AI for Business Innovation

Course Details

Course Title: Seminar on Administration: Generative AI for Business Innovation

Course Code: ADM3396M

Faculty: École de gestion Telfer / Telfer School of Management

Academic Period: 2027 Winter Semester

Location: Ottawa, ON

Schedule: Wednesday 19:00-22:00

Credits: 3

Expected Enrolment: 30

Teaching Mode: In person (teaching method might incur changes due to health measures or other reasons)

Position Details

Position Type: Professeur à temps-partiel régulier / Regular Part-Time Professor

Work Hours: 39

Application Deadline: 2026/10/25

Course Description

This course serves as the cornerstone generative AI (GenAI) experience for business students, providing essential knowledge and skills that can be applied across different business functions. Students learn to effectively use GenAI by understanding the technology and applying effective prompting techniques, templates, and tools for business innovation. The course progresses from fundamental concepts and prompt engineering to building functional software solutions using AI-assisted development tools, while examining ethical implications and strategic considerations for AI deployment in business contexts.

Students will explore a wide spectrum of GenAI capabilities including autonomous agents, multimodal content generation, and advanced workflow automation. The course emphasizes hands-on learning through direct use of AI platforms, API integration, and no-code development tools. Students work with cutting-edge concepts including retrieval augmented generation (RAG), fine-tuning, multi-agent systems, and AI workflow automation while developing practical solutions to real business challenges. Innovation methodology is integrated throughout the course, covering systematic thinking approaches, structured ideation processes, customer needs analysis, and problem-solution fit assessment for AI-powered innovations.

Requirements

Must have a Master's or MBA degree (PhD preferred) in the area of the course, with extensive knowledge (minimum 10 years) of business innovation including demonstrated knowledge and application of Generative AI tools. Must demonstrate an expert understanding of various AI tools and their application in business contexts. Must demonstrate previous experience in leveraging experiential learning to support a dynamic learning environment.

An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience.

Accommodation and Equity

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.

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.