eduXchange.nl
The new minor offering from Leiden, Delft and Erasmus will be visible in early March.

Engineering With AIOrganization logo: Delft University of Technology

About this minor

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.

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.

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 and BK / A+BE, self-study in the summer is required (15-20h), because not all linear algebra and statistics is covered in the BSc programme. You can find a detailed description of the self-study material in the study guide.

Learning outcomes

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.

  1. The student can explain the possibilities and limitations of AI systems and the importance of their validation.
  2. 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.

  1. The student can assess the impact of deploying AI-based solutions and interventions on individuals, organizations, and society.
  2. The student can apply ethical considerations in the design of its own AI system in the field of his/her major.

Teaching method and examination

(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/

Good to know

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 linear algebra and statistics self-study material that we linked elsewhere.

This minor is available for bachelor’s students from the TU Delft, Leiden University, and Erasmus University of Rotterdam. Students from other universities are unfortunately not eligible to follow this minor. If you are a student from Leiden or Erasmus, please check the “thematic minor overview” to see whether you can apply for this minor (based on which faculty you study at).

All BSc students from TU Delft except Computer Science BSc students can enrol for this minor. If you do a double BSc degree that includes computer science (for example: math and computer science) you are also not allowed to take this minor.

Who cannot attend?

  • Computer Science BSc students
  • Double BSc degree students with Computer Science (such as math and CS),
  • HBO students,

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 CSE2520 (Big data 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 Delft study guide.
For additional information on this minor, visit the TU Delft minor page.

Additional information

  • Code
    TI-MI-225
  • Theme
    Technology
  • Credits
    ECTS 30
  • Selection minor
    No
If anything remains unclear, please check the FAQ of TU Delft.

Offering(s)

  • Start date

    2 september 2024

    • Ends
      9 februari 2025
    • Term *
      Block MIN N S1
    • Location
      Delft
    • Instruction language
      English
These offerings are valid for students of Erasmus University