Course: Data Science for Personal Health credits: 10

Course code
BFVM23DSPH
Name
Data Science for Personal Health
Study year
2023-2024
ECTS credits
10
Language
English
Coordinator
F. Feenstra
Modes of delivery
  • Teaching method 1
  • Teaching method 2
Assessments
  • Data Science for Personal Health 1 - Professional product

Learning outcomes

  1. You implement an advanced web-based visualisation. ​ 
  2. You pose an exact and answerable research question (hypothesis) 
  3. You collaborate with team members to organise the work involved. ​ 
  4. You translate design into a project approach and valuable IT solution. ​ 
  5. implement appropriate data(base) technologies given data sources. ​ 
  6. You design a useable interface to answer a research question. ​ 

Content

The objective of this research project is to enhance students' comprehension of the Data Science domain, particularly in relation to personal health. To achieve this, health-related data will be visualized to answer health-related research questions. The students will apply fundamental data transformation and munging techniques to pre-process the data for visualization. Additionally, the project aims to reinforce the programming concepts taught in the preparatory course while teaching students the principles of good UI design. 

The project follows a cumulative design approach, wherein a basic prototype with a simple data structure is developed first, followed by more advanced iterations on the same theme. This allows students to build upon their existing knowledge and progressively enhance their skills. 

Included in programme(s)

School(s)

  • Institute for Life Science & Technology
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