Engineering With Artificial Intelligence

It is highly likely you will encounter AI techniques in your job after your studies. In this minor you will learn how to use AI techniques such as neural networks. At the end of the minor programme you will work together with an expert researcher from your faculty or one of the Delft AI Labs. Together with them you will develop or investigate an AI solution as part of the “Capstone Applied AI” project.

In this minor program you will also learn how AI and machine learning algorithms work and how you can apply them the right way. You will also learn the pros and cons of AI techniques, their limitations and possible associated ethical problems. You will get to know all the ins and outs of AI; you will be able to tune settings or to use specific AI algorithms using toolboxes, and will learn what is ‘under the hood’ of the AI toolkit.

Be aware that we expect you to have basic programming skills before you enter this programme! To help you figure out whether you are at the correct level, we have created a mini-course on Python Prerequisites. You can find our mini-course here:  https://ipp.pages.ewi.tudelft.nl/python-prerequisites/. Please check it out before registering for this minor programme. If you have trouble doing the assignments, this minor programme might not be for you.

In addition to basic programming skills, we expect you to have good knowledge of university-level mathematics (calculus, linear algebra, probability, and statistics). Especially for students from IDE / IO, BK / A+BE, Leiden and Erasmus, self-study in the summer is required (15-20h), because not everything is covered in the BSc programme.
You can find a detailed description of the self-study material in thestudy guide.

By the end of this minor you will:

• Know how to apply AI techniques in your specific study field,
• How to reformulate problems of your field such that they can be solved by AI algorithms,
• Recognize the limits and failures of AI solutions and know how to try and fix them.
• We expect you to have good knowledge of university-level mathematics (calculus, linear algebra, probability, and statistics).

Computational thinking

1. The student can explain the basic concepts of computational thinking.
2. The student can describe how algorithms operate on data.
3. The student can discuss the differences in the complexity of algorithms.

Artificial Intelligence
4. The student can describe the fundamental concepts and techniques of AI.
5. The student can explain the possibilities and limitations of AI systems and the importance of their validation.
6. The student can apply at least one AI technique or analyse an AI application area, preferably in the field of their major.

Societal Impact
7. The student can examine the technological, societal and regulatory perspectives on AI.
8. The student can assess the impact of deploying AI-based solutions and interventions on individuals, organizations, and society.
9. The student can apply ethical considerations in the design of its own AI system in the field of his/her major.

Registration for this thematic minor is on a first-come, first-served basis and available places. (No lottery draw).

As written above, we expect you to have programming skills and to have a strong mathematical background before you enroll for this minor programme. Check out the Python Prerequisites course and mathematics self-study that we linked elsewhere.

This minor is available for all WO bachelor’s students, except for the ones who are doing a Computer Science or AI bachelor’s programme.

Note: we are opening up this minor programme to students from all faculties and all universities. It is your responsibility to decide whether this minor is for you. Students who have a lot of mathematics courses in their bachelor’s programme are expected to be well-equipped for this minor.

This is a regular minor, and not a bridging minor that would allow students to join our Computer Science master’s programme later.

Information for bachelor’s students from Applied Mathematics (BSc TW)
For bachelor’s students from Applied Mathematics (BSc TW) the following applies:

• If you have already done AM1090 (Introduction to Programming), you have to replace TI3105TU (Intermediate Python Programming) by the course CSE2220 (Signal Processing).

If you are not a Mathematics student from the TU Delft, you cannot replace the Python course, even if you have already done a course on Python.

Student at Leiden University, TU Delft or Erasmus University Rotterdam?
Check the eligibility matrix to see if your bachelor’s degree programme offers access to this and other minors at https://www.tudelft.nl/minor

Student at another educational institution?
External students cannot register via EduXchange. Interested in this minor, read the whole registration procedure at https://www.tudelft.nl/minor

For information about the courses, visit the TU Delftstudy guide*.
For additional information on this minor, visit the TU Delftminor page.
Other questions? Send an email to minor-ai-ewi@tudelft.nl.

*Contains information from 2024-2025, course content may be different in 2025-2026.

(Video-) lectures, practical sessions, and projects. Most courses have one exam.

Check the detailed overview of courses, learning activities and study load at https://www.studyguide.tudelft.nl/