Level/category

Professional studies

Teaching language

English

Type of course

Compulsory

Cycle/level of course

First

Recommended year of study

4

Total number of ECTS

5 cr

Competency aims

In this unit you present the following competences: Research, development and innovation competences

Learning outcomes

Students are expected to know and apply different
research methods for the production, collection
and processing of data (Knowledge).
Students can use relevant numerical tools for
analysing large amounts of scientific data (Skill).
Students will be able to critically evaluate
various data reports (Knowledge).
Students can discuss and consider professional and
scientific ethical principles that apply to the
production, collection, processing and use of data
(Attitudes)

Prerequisites and co-requisites

Mathematics

Mode of Delivery

Participation in tuition

Assessment requirements

To pass the course the student should pass the following examinations:
Examination 1 ....
Examination 2.... etc.
(examinations include written examination tests, demonstrations and presentations, reports and produktions, essays, and also presence at specified occasions)

The examinations contribute to the final grade as follows: ...

Examiner

Herrmann Rene

Group size

No limit

Assignments valid until

Until further notice

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