Module: Introduction to Matlab (1101-060)

This module not offered anymore!

Persons:

• Prof. Dr. Philipp Kügler (verantwortlich)

Degree Program:

• Biology (Bachelor, since 01.04.2011)
  4. Semester, elective
• Biology (Bachelor, since 01.04.2011)
  6. Semester, elective
• Biology Teacher Program for Secondary Schools (Bachelor, since 01.10.2015)
  4. Semester, elective
• Biology Teacher Program for Secondary Schools (Bachelor, since 01.10.2015)
  6. Semester, elective
• Biology (Bachelor, since 01.04.2011)
  4. Semester, elective
• Biology (Master, since 01.10.2010)
  4. Semester, elective
• Food Science and Engineering (Master, since 01.10.2013)
  4. Semester, elective
• Nutritional Science (Bachelor, since 01.04.2011)
  4. Semester, elective
• Nutritional Science (Bachelor, since 01.04.2011)
  6. Semester, elective
• Earth and Climate System Science (Master, since 01.10.2017)
  4. Semester, elective
• Nutritional Management and Dietetics (begin of studies WS 2017/18) (Bachelor, since 01.10.2017)
  4. Semester, elective
• Nutritional Management and Dietetics (begin of studies WS 2017/18) (Bachelor, since 01.10.2017)
  6. Semester, elective
• Food Chemistry (Master, since 01.10.2015)
  4. Semester, elective
• Food Science and Biotechnology (Bachelor, since 01.04.2011)
  4. Semester, elective
• Food Science and Biotechnology (Bachelor, since 01.04.2011)
  6. Semester, elective
• Food Biotechnology (Master, since 01.10.2016)
  4. Semester, elective

Relation to other Modules:

Algorithmen aus Mathematik für Biowissenschaften werden aufgegriffen

Prerequisites for Attendance:

Mathematik für Biowissenschaften (oder vergleichbare LVen)

Sprache:

German

ECTS:

3 credits

Frequency:

every summer semester

Length of the Module:

1 semester

Compulsory assignment:

Lösung von Übungsprogrammieraufgaben

Module examination:

Computerklausur mit Programmieraufgaben

Final examination:

Computerklausur mit Programmieraufgaben

Length of the examination:

120 minutes

Workload:

Präsenzzeit 28 SWS Eigenanteil 62 SWS Arbeitsaufwand 90 SWS

Professional competences:

Ziel des Moduls ist, dass die Studierenden nach dessen Abschluss in der Lage sind, …
- to implement in Matlab solution algorithms presented in the introductory mathematics lectures
- use Matlab as a programming tool for data analysis

Key competences:

Ziel des Moduls ist, dass die Studierenden nach dessen Abschluss in der Lage sind, …
- to use modern computing software to solve problems in life sciences.\r\nto understand and apply basic control and data structures to construct simple programs
- to apply testing and debugging techniques to identify and correct errors in programs.
- to understand and implement some basic algorithms, including numerical methods.

Comments:

Wird nun unter 1101-050 angeboten.

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