Seminar: Selected Topics in Data Science - Details

Seminar: Selected Topics in Data Science - Details

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General information

Course name Seminar: Selected Topics in Data Science
Subtitle
Course number 503480
Semester WiSe 2024/25
Current number of participants 23
Home institute Institut für Informatik
Courses type Seminar in category Teaching
First date Tuesday, 22.10.2024 12:00 - 14:00, Room: (2.101 (Informatik/Stochastik))
Type/Form
Performance record →Ab hier automatisch erfasste Informationen / Beyond this point, the information is filled in automatically←

Prüfungsleistung(en) je Modul / Exam details per module:

* [(B.Inf.1207.Mp) Proseminar I][1]
* Andere Prüfungsform: Fr, 20.12.2024
* [(B.Inf.1208.Mp) Proseminar II][2]
* Andere Prüfungsform: Fr, 20.12.2024
* [(B.Inf.1852.Mp) Proseminar Datenanalyse][3]
* Andere Prüfungsform: Fr, 20.12.2024
* [(M.Inf.2243.Mp) Selected Topics in Data Science][4]
* Andere Prüfungsform: Fr, 20.12.2024

[1]: https://ecampus.uni-goettingen.de/h1/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=27608&periodId=277
[2]: https://ecampus.uni-goettingen.de/h1/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=27556&periodId=277
[3]: https://ecampus.uni-goettingen.de/h1/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=53691&periodId=277
[4]: https://ecampus.uni-goettingen.de/h1/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=35847&periodId=277

Rooms and times

(2.101 (Informatik/Stochastik))
Tuesday: 12:00 - 14:00, weekly (14x)

Fields of study

Module assignments

Comment/Description

Learning outcome, core skills:

After successfully completing the module, students

* have gained in-depth knowledge about a specific topic in the Data Science field
* have gotten to know research trends and established approaches in the field
* have trained their ability to work independently in a pre-defined context
* know how to methodically gather, organize, read, critically analyze, and discuss scientific research papers
* have improved their academic writing skills
* have improved their oral presentation skills

Examination:

Oral presentation (approx. 20 min) and either:

1. a term paper (approx. 5000 words)
2. successful completion of a complex programming project (incl. providing a developer documentation)

Examination prerequisites:

Regular participation

Examination requirements:

Knowledge of a current topic in Data Science; ability to present the acquired knowledge or the self-devised solution to an applied Data Science problem both orally and in writing

Admissible user domains:

  • Gäste
  • Propädeutika