Module: Applied Mathematics for the Life Sciences II (1101-410)

Persons:

• Prof. Dr. Philipp Kügler (verantwortlich)

Degree Program:

• Food Biotechnology (Master, since 01.10.2013)
  2. Semester, elective
• Food Science and Engineering (Master, since 01.10.2013)
  2. Semester, elective
• Biology (Master, since 01.10.2010)
  2. Semester, elective
• Biobased Products and Bioenergy (Master, since 01.10.2014)
  2. Semester, elective
• Clinical Nutrition (Master, since 01.10.2010)
  2. Semester, elective
• Molecular Nutritional Science (Master, since 01.10.2010)
  2. Semester, elective
• Food Biotechnology (Master, since 01.10.2016)
  2. Semester, elective
• Biobased Products and Bioenergy (Master, since 01.04.2019)
  2. Semester, elective
• Biobased Products and Bioenergy (Master, since 01.10.2019)
  2. Semester, elective
• Crop Sciences - Plant Nutrition and Protection (Master, since 01.10.2014)
  2. Semester, elective

Relation to other Modules:

Builds on the module "Applied Mathematics for the Life Sciences (1101-400)"

Prerequisites for Attendance:

Successful completion of the module "Applied Mathematics for the Life Sciences (1101-400)" and knowledge in Matlab

Sprache:

English

ECTS:

7,5 credits

Frequency:

every summer semester

Length of the Module:

4 weeks (block 2)

Compulsory assignment:

Active participation in the lecture and exercise

Module examination:

Written exam

Length of the examination:

120 minutes

Workload:

84 h attendance + 106 h independent study = 190 h workload

Professional competences:

Upon completion of the module students are able to:\r\n- classify and numerically solve common partial differential equations,\r\n- formulate optimization tasks and solve them numerically,\r\n- use simulation software.

Key competences:

Upon completion of the module students are able to:\r\n- independently solve simple simulation taks in research and development,\r\n- enter a dialogue with simulation experts in the context of interdisciplinary cooperation,\r\n- analyze scientific problems in a structured manner.

eLearning:

Course in ILIAS

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