After successful completion of the course, students are able to process and analyse data in the selected domain, select appropriate methods based on the requirements, apply methods to real data, and develop solutions for domain-specific tasks.
Project addressing a domain-specific challenge.
1. Select a main supervisor for the project
2. Discuss the project with the selected supervisor, agree on a 1-page outline and identify the corresponding domain-specific lecture in data science (194.068)
3. Select a co-supervisor for the project
4. Discuss the 1-page outline with the co-supervisor
5. Refine the outline until both supervisors agree
6. Do the project
7. Discuss regularly with the supervisors
8. Write the report
If no topic is given in the list below, see the Interdisciplinary Lecture Series talk for details on the topic:
Solve a practical problem in inter-disciplinary project work
Write a report
Give a presentation
Steps in the Module “DSA – Domain-Specific Aspects of Data Science”
Report on the results, presentation