nbsp;
AI-Driven Entrepreneurship (IEL-B-3+5-WPM-IEL)
Department
- Bachelor's program Medical, Health and Sports Engineering
Course unit code
- IEL-B-3+5-WPM-IEL
Level of course unit
- Bachelor
Year of study
- Fall 2024
Semester when the course unit is delivered
- 5
Number of ECTS credits allocated
- 5.0
Name of lecturer(s)
- Pastorella Gilberto, MSc
Learning outcomes of the course unit
- Upon completion of this elective course, students will be able to:
identify and evaluate new venture opportunities to determine their strengths, weaknesses, and overall business potential.
describe the new venture creation process — including the activities, challenges, and opportunities involved.
innovate, persevere, and create a product or service, people want also by leveraging AI tools.
During this course, students will also:
develop teamwork skills, ownership and leadership skills, due to the group work
improve their oral and written communication skills (e.g. by learning how to develop a compelling value proposition statement, an in-depth industry analysis, and/or a persuasive business pitch)
Recommended optional program components
- none
Course contents
- This course is designed for (future) entrepreneurs who want to build great ventures. For more than a decade, methods such as Lean Startup or Effectuation, have been part of the canon for founders around the world. However, with the rise of AI, the process of venture creation becomes faster, cheaper, and more efficiently.
For this reason, the course AI-Driven Entrepreneurship:
combines existing methods and unites them in a step-by-step framework for venture creation.
allows students to track their progress of venture creation in the illustrated framework.
gives a comprehensive introduction to selected AI-tools which can help to shorten or complete the respective steps in the venture creation process more quickly.
guides students through the framework and the use of AI-tools by means of lectures and curated videos.
helps students to think entrepreneurially and is fun.
Recommended or required reading
- Co-Intelligence: Living and Working with AI - Ethan Mollick
Planned learning activities and teaching methods
- The course comprises an interactive mix of lectures, discussions and individual and group work.
Assessment methods and criteria
- quiz
+ individual assignment regarding the venture creation process (framework)
+ group assignment regarding your new venture (pitch)
Language of instruction
- English
Work placement(s)
- none