Eindhoven
University of
Technology

Data and Health - Mobility- Energy (4CBL20 )

About this course

In the video below students and teachers explain what it means to be part of this CBL Course.


Setup

In this course students have a scientist as their client/main stakeholder providing data from their research.

Student teams formulate their own sub-problem (Challenge) and develop a solution for it. As part of their solution, they explore data analysis techniques applied to the data provided by their client. The results of these techniques are included in their solution, which they present to their client. Another component of their solution involves addressing ethical issues during the process.

The Learning Process

The CBL Learning process was divided into 5 steps:

  1. Identify the problem you will solve.
  2. Identify functional and non-functional requirements.
  3. Select and apply a suitable method to solve the problem.
  4. Present results suitable for the audience.
  5. Demonstrate self-reflective awareness of influences between data analytics and USE.

Downloads

An example of Adam explaining the set-up of the course in a 8:26 minutes video. [Assignment Intro.mp4]

 

Intended Learning Outcomes (ILO’s)

The course has an overall aim and 3 groups of ILO’s:

  1. About the topic itself: USE.
  2. About Data Analysis and Technical Challenge
  3. Self-determined ILO’s (not in the Study Guide)

Downloads

The ILO’s are on page 2 of the Study Guide


Assessment

This course includes both group and individual submissions.

  1. Group submission: A presentation and report detailing their challenge and solution.
  2. Individual submission: A report with an individual reflection on the process or the product details, and a reflection on their achievements related to their self-formulated ILOs.

Students are required to submit three deliverables. They receive the weighting of each deliverable for the final grade in advance.

Downloads

Learning Activities

The learning activities were set out by day, to create a weekly structure.

To be able to deliver a good product, students received three explicit learning activities:

  1. Risk Assessment: Students fill out a risk assessment table.
  2. Concept Maps: During this activity, students learn how to create a concept map and, in the process, activate their knowledge about data analysis.
  3. Problem Space Analysis: During this activity, students submit a concept map that captures their current understanding of Brain-On-a-Chip technology, how data analytics can assist in B-O-C technology, and ethical considerations.

Downloads

More about the learning activities can be found from page 3 onwards in the Study Guide.

 

Organisation of the course

Several lecturers were involved in the course, each providing input from their own area of expertise. Additionally, Teaching Assistants (TAs) or tutors were deployed. The tutors were trained by TEACH and received specific instructions and a manual tailored to this course.

Downloads

The document Coaching Students gives insight into the setup of a training for tutors.

Contacts

Teacher
Adam Watkins
Mathematics and Computer Science