Sessional Lecturer - Innovation and Entrepreneurship

Overview Course Number and Title: MMF2032H: Innovation and Entrepreneurship (LEC 0101). This is an intensive, hands‑on five‑day course designed for students interested in turning their ideas into real‑world ventures in the age of AI. You will work through the core stages of building a startup: identifying a meaningful problem, conducting industry and market analysis, engaging in customer discovery, designing a clear value proposition, and developing a business model. Using AI tools throughout the process, you will rapidly prototype your idea and prepare a live product demo and pitch deck. A central focus of the course is learning how to think critically about your own ideas. You will be expected to test assumptions with evidence, analyze competitors, understand market dynamics, and validate or invalidate your hypotheses before building further. Strong ventures are not driven by attachment to an idea, but by a disciplined focus on solving real problems. By the end of the course, you will be able to clearly communicate your idea, understand how new products are validated and brought to market. Schedule and Dates Class Schedule: Monday to Friday, 5:00‑8:00 pm. Sessional dates of appointment: July 13‑17, 2026. Estimated course enrollment: 36. Estimated TA support: n/a. Delivery method: in‑person. Salary 9,820.70 Sessional Lecturer I 10,510.04 Sessional Lecturer I – Long Term 10,510.04 Sessional Lecturer II 10,760.28 Sessional Lecturer II – Long Term 10,760.28 Sessional Lecturer III 11,030.36 Sessional Lecturer III – Long Term Please note that if rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. Minimum Qualifications Advanced degree in computer science. Industry experience in innovation, artificial intelligence and the start‑up space. Prior experience teaching this course (or a similar course) at the university level. Ability and experience teaching large classes. Preferred Qualifications Work in the FinTech space. Duties Preparation and delivery of lectures in this course. Preparation, supervision and grading of tests and examinations in accordance with university regulations. Providing scheduled office hours for academic counseling of students. Application Instructions Applicants should submit an updated curriculum vitae; names and contact information (email and phone) for two referees or two reference letters; evidence of teaching in the relevant area, including student evaluations if available; and the CUPE3902 Unit3 application form located at Please attach the additional documents in one PDF file format to the application form. If you have any questions, please contact View email address on click.appcast.io. All applicants must have a valid email address. Closing Date: 06/16/2026, 11:59 PM EDT. Diversity Statement The University of Toronto embraces diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission. As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see Accessibility Statement The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission. The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities. If you require any accommodations at any point during the application and hiring process, please contact View email address on click.appcast.io. Job Segment Computer Science, Developer, Technology. #J-18808-Ljbffr