Module 39-M-INT2 International Courses in Data Science 2

Faculty

Person responsible for module

Regular cycle (beginning)

Every semester

Credit points and duration

5 Credit points

For information on the duration of the modul, refer to the courses of study in which the module is used.

Competencies

Non-official translation of the module descriptions. Only the German version is legally binding.

On the one hand, students gain in-depth specialist skills by attending various further courses in the field of data science and/or in methodically related fields. In addition, students acquire a high level of intercultural competence as well as the ability to contribute and prove themselves in a culturally different work environment. They develop their professional, social and communicative skills in an intercultural and foreign language context.

Content of teaching

The students acquire in this module at the foreign college (in-depth) knowledge in the field Data Science similar to one of the lectures offered in the module pool computer science. Since the achievements are obtained in the context of a study abroad, the courses and the contents need to be coordinated with the respective program representative (Programmbeauftragte/r) in the form of a "Learning Agreement for Studies" which depends on the main teaching areas of the foreign universities.

Recommended previous knowledge

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Necessary requirements

The prerequisite for participation in this module is a stay abroad at a foreign university. For achievements obtained in the context of studying abroad, prior coordination between the student and the participating universities is mandatory through a "Learning Agreement for Studies".

Explanation regarding the elements of the module

Module structure: 1 bPr 1

Courses

International Courses in Data Science 2
Type lecture
Regular cycle WiSe&SoSe
Workload5 120 h (120 + 0)
LP 4

Examinations

portfolio
Allocated examiner Person responsible for module examines or determines examiner
Weighting 1
Workload 30h
LP2 1

The form of delivery depends on the circumstances at the foreign university.

The module is used in these degree programmes:

Degree programme Profile Recom­mended start 3 Duration Manda­tory option 4
Data Science / Master of Science [FsB vom 06.04.2018 mit Änderungen vom 01.07.2019, 02.03.2020, 21.03.2023 und 10.12.2024] Variante 1 2. o. 3. one semester Compul­sory optional subject
Data Science / Master of Science [FsB vom 06.04.2018 mit Änderungen vom 01.07.2019, 02.03.2020, 21.03.2023 und 10.12.2024] Variante 2 2. o. 3. one semester Compul­sory optional subject

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Legend

1
The module structure displays the required number of study requirements and examinations.
2
LP is the short form for credit points.
3
The figures in this column are the specialist semesters in which it is recommended to start the module. Depending on the individual study schedule, entirely different courses of study are possible and advisable.
4
Explanations on mandatory option: "Obligation" means: This module is mandatory for the course of the studies; "Optional obligation" means: This module belongs to a number of modules available for selection under certain circumstances. This is more precisely regulated by the "Subject-related regulations" (see navigation).
5
Workload (contact time + self-study)
SoSe
Summer semester
WiSe
Winter semester
SL
Study requirement
Pr
Examination
bPr
Number of examinations with grades
uPr
Number of examinations without grades
This academic achievement can be reported and recognised.

Sidebar

Elements of the module

Courses

Examinations

Programme of lectures (eKVV)

Programme of lectures (eKVV)

Show lists of modules

Data Science / Master of Science // Variante 1

Data Science / Master of Science // Variante 2