Entrepreneurship in Analytics and AI

2022-2023

General Information

Course Code XM_0090
Credits 6 EC
Period P4
Course Level 400
Language of Tuition English
Faculty Faculty of Science
Course Coordinator prof. dr. W. Stam
Examiner prof. dr. W. Stam
Teaching Staff prof. dr. W. Stam
prof. dr. G.M. Koole
Part of programme(s)

Practical Information

You need to register for this course yourself. The (de)registration deadlines can be found on VU.nl

Teaching Methods Seminar, Written partial exam, Lecture

Target audiences

This course is also available as:

Course Objective

After having finished this course successfully, the student is able to:
- Master the obliged literature on entrepreneurship from the course.
- Critically make use of theoretical foundations for practice-based
ideas.
- Think ‘out of the box’ concerning entrepreneurial ideas.
- Approach entrepreneurial challenges with extra confidence.
- Develop a business idea according the regular criteria.
- Thoroughly communicate the business plan in a short pitch.

Course Content

In recent years, entrepreneurship education has shifted from the
exclusive domains of business administration and economics to many other
domains as well, including beta sciences.
This course is based on three pillars:
- The transfer of academic knowledge in the field of entrepreneurship,
during lectures and study of academic papers and books.
- The development of personal entrepreneurial soft skills, which may
contribute to entrepreneurial success, during interactive workshops.
- To come from a business idea to a solid business plan, with the help
of the adjusted Business Model Canvas (BMC) approach and the study of an
own real life case.
Scientific research is not an explicit part of this course, but will be
dealt directly and indirectly within all three pillars.

Additional Information Teaching Methods

Lectures, consultancy sessions.
Presence with all lectures and consultancy sessions is mandatory.

Method of Assessment

This course loads 6 ECs. The final grade for this course is based on the
written exam (50%) and the BMC (50%). Both forms of examination should
be sufficient, i.e. a grade of at least 5.5. The written exam is an
individual assignment whereas the BMC is a team assignment. Next to
these two obligatory aspects of the course, a number of small
assignments have to be delivered (pass/fail assessment).
Additional to the regular lectures, consultancy sessions are organized,
in which the groups meet with one of the lecturers, for the further
development of their own real life cases.

Literature

To be determined.