Prospectus

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Data Science and AI Applications

Course
2025-2026

Description

How can we use AI/ML techniques in real life? What kind of models have been used in different fields? In this course, we will introduce domain specific AI/ML applications and discuss challenges we are facing in using AI/ML in different fields. In addition, special datasets created and processed in diverse domains will be explained. This course will especially focus on fields including society, environment, health care and life science. Various types of data will be introduced such as biological imaging, spatial, or network data.

This course is a combination of lectures, practical sessions and project work. After the introductory lectures and practical sessions, students will design their own AI/ML applications.

Course Objectives

  • Understand and discuss applications of the most used ML/AI models in the following fields
    o Time series
    o Spatial databases
    o Network datasets
    o Human mobility data
    o Text corpora
    o Healthcare data
    o Biological imaging

  • Apply and/or implement evaluation metrics to compare the performance of AI/ML models

  • Understand limitations and best practices of AI/ML models

  • Understand FAIR principles, ethics, algorithmic fairness, identify and discuss potential problems in different fields

  • Apply and compare different ML/AI models in a chosen topic

Mode of Instruction

Lectures

Practical sessions / working groups

Presentation of own work (including a written report following a template)

Assessment method

Grading is based on:

  • assignments completion (10%)

  • contribution to a project: presentation, report (90%) = final presentation (25%) + final report (65%)

The final grade is the weighted average of the above as indicated.

If an assignment or a presentation is not completed, the resulting grade is a 0. There will be no retakes for the assignments and the presentations. The retake for the final report is a one-time resubmission with an improved version. The final grade can only be sufficient if the weighted average grade is at least 5.5.

Registration

Application period

For application EduXchange is used, application will start on Thursday 15th of May 2025 at 13:00h.

For minor students, TU Delft, Erasmus and LDE students: Thursday 15 May 13.00h until 30 June

More information about the application procedure can be found on this website:

Application procedure