URL study guide
https://tue.osiris-student.nl/onderwijscatalogus/extern/cursus?cursuscode=JBG030&collegejaar=2025&taal=enDescription
Non Bachelor Data Science wanting to register for this course should reach out to program management via [email protected] for formal approvalThe objective of the Data Challenge courses is to teach students how to perform large-scale data-driven analyses themselves, combining the technical skills acquired earlier in the Data Science program with insights gained in methodological courses.
In this first Data Challenge, students will get the possibility to apply the methods and techniques acquired during the first year of the program on a large, complex dataset. The students will be given a large, structured dataset, several specific analysis questions about this dataset, and a proposed analysis approach for each question (i.e., particular analysis techniques to apply). The task for the students is to technically implement the analysis in a repeatable form, and reflecting on the validity of their results and the suitability of their analysis approach. In solving this task, students learn how to handle the following important challenges:
- the actual handling of large data being stored in various formats (files, relational databases, object databases, etc.), the efficient pre-processing of data to be usable for the analysis, and the storage of analysis results in a suitable data format;
- identifying and familiarizing and applying the right software tools for data handling and analysis; and
- acquiring and applying professional skills for working on a complex task in a larger group including: planning, dividing, and organizing group work and communication, agile development practices, and communicating and giving feedback in a diverse group.
In AY 2025-2026, the course participates in a pilot on securely applying AI chatbots in learning. The chatbot is intended as a sparring partner for students to help them plan and structure their process of work as a group. Participation is voluntary.
Objectives
Non Bachelor Data Science wanting to register for this course should reach out to program management via [email protected] for formal approvalAfter taking the course, students are able to
- independently apply and follow established data science research methods for a given problem and data set
- access, process, and reason about a large, complex dataset given in various data formats
- independently find and familiarize themselves with programming languages, libraries, programs and software packages for a specific purpose
- implement a repeatable data analysis that makes use of existing libraries and programs in a self-chosen technical environment
- independently validate results of their own and other student’s analyses using scientific techniques
- present their analysis and their findings in a presentation/report/poster suitable for a given audience
- apply various planning, organization, and feedback techniques to successfully collaborate in a diverse group