Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
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In this course students are given the chance to apply their abilities and knowledge in deep learning to real-world medical data. Students will be assigned a medical dataset and in close consultation with medical doctors create a project plan. Deep Learning methods will be applied to solve tasks to achieve the goal that is agreed upon. Datasets will be explored and analysed in several directions and different approaches will be evaluated and compared.
In short this course offers students to:
- Apply Deep Learning in the real world
- Work on medical data and potentially help diagnose and analyse health related problems
- Close supervision of PhD students with specialization in AI
- Collaboration with medical experts
- Work on the intersection between medicine and computer science |
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TUMonline entry
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