Project: Advanced programming & biomedical data analysis

URL study guide

https://tue.osiris-student.nl/onderwijscatalogus/extern/cursus?cursuscode=8BA103&collegejaar=2026&taal=en

Description

This project is designed for students with a foundational knowledge of Python programming and machine learning, eager to dive into the exciting world of biomedical data analysis. You’ll enhance your ability to write structured, efficient code and turn raw, complex data into meaningful insights. The course dives into advanced programming concepts like object-oriented programming, data structures, and algorithms, alongside powerful data analysis techniques, such as multivariate analysis, data visualization, and machine learning. Through hands-on programming exercises, you will sharpen your skills, and you will apply them in real-world, challenging biomedical scenarios (e.g., identifying promising molecules to bind to a protein target). By the end of the course, you will have the expertise and confidence necessary to solve complex programming and data analysis problems in the biomedical domain.

Keywords: biomedical data analysis, programming, machine learning

Objectives

After this course, you will be able to:

1. describe a biomedical problem by using scientific literature
2. translate a biomedical problem into research question and hypothesis
3. relate the conclusions of their own research project to scientific literature
4. write about their research project in a structured and coherent scientific report in English
5. clearly present and discuss the results of their own work with peers and experts (supervisors) in English
6. divide tasks in a group such that all students in the group can optimally develop themselves
7. plan group work when working towards a predefined deadline and goal using appropriate methods
8. respectfully and professionally give constructive feedback
9. reflect and improve on performance through feedback

Besides above generic learning objectives each project will have its own project specific learning objectives related to the content and applied methods, software and experimental techniques. Details can be found on the project specific Canvas pages.
 

Method of Assessment

Individual grade
Presentation
Report
Results