Innovative Seminars
Summer 2026
ADM 4396 X: AI and Strategic Decision-Making in Practice (Mayur Joshi)
AI and Strategic Decision-Making in Practice
Description: The aim of this course is to provide students with an understanding of the development and adoption of AI in strategic decision-making. The course will focus on business practice by drawing on examples and case studies from banking and FinTech and also explain how the practices apply to other industries. Broadly, the course will expose students to the data generation processes as well as prevalent data science models applicable to various banking functions and products, including financial performance analytics, customer analytics, risk analytics, robo-advising, and text analytics. It will discuss several data science models that help solve business problems imperative for large incumbent organizations as well as startups and the challenges the organizations face in developing and implementing these models. The key focus will be less on learning technical skills and more on envisioning various real-life scenarios in which students can employ their technical skills.
Fall 2026
ADM 3396 A, Sport Management (Milena Parent) – Intensive seminar offered over 5 days during Reading Week
Application of Management concepts learned in other courses (e.g. strategy, marketing, human resource management) to sport and sport organizations (i.e. for-profit, non-profit, and sports events). This includes a critical analysis of the impact of sport regulation and context on managing sport and sport organizations.
Winter 2027
ADM 3396 M, From Prompts to Product: Generative AI for Business Innovation
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.
The course culminates in student teams presenting their AI-assisted business solutions, complete with professional documentation and public blog posts showcasing their development journey.
No prior programming experience is required, making this course accessible to students across business disciplines.
Prerequisites: ADM2372
ADM 4396 M, Personal Development and Leadership (Matt Archibald)
This facilitator-driven seminar introduces students to important aspects related to personal and leadership development and will broaden students’ awareness in topics related to career development, leadership skills, self and balance, and community involvement. Thinking about what goals to set, how to map out a career plan, what it will take to be a business leader in the future, and how does one find balance in one’s life while looking to achieve long-term success as a business leader are just some of the topics that will be explored in this highly engaging Seminar.
To be admitted into this course, please send your resume to Mr. Matthew Archibald (
Applications will be accepted until December 1, 2026.
