Title of Course: Numerical Methods in Medicine - Lab
Exam number: XM 2520
Length of course: 2 hours per week
Type of course: lab
Language: English
Lecturer: Prof. Dr. H. Botterweck
Learning outcomes:
After getting to know the basic numerical approaches and methods in the lecture the students can learn and practise the concrete application to realistic medical problems in this lab. The students become aware of aspects and criteria of the implementation and improvement of an algorithm. Knowledge about lecturer´s current research projects
Course Requirements: lecture "Numerical Methods in Medicine"
Content:
Simple, yet realistic problems in the fields of

• medical image processing and visualization,
• tomographic reconstruction,
• statistical data evaluation,
• simulation (epidemics…), and
• medical -/bio-informatics (large data-sets)
  

are posed together with example input data. The students apply given numerical tools (Matlab) and/or develop simple programs given numerical libraries in order to model, solve and analyse the tasks. A critical assessment of the results (Are the chosen methods adequate? Is the outcome realistic? What is the range of applicability? What could be improved?) is an important part of the work.

Recommended Literature:

• Computer (programming/ simulation/ Visualization tools)
• Hand-outs
• short presentation of results

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