180.772 Seminar for Master Students in Data Science
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2021W, SE, 1.0h, 1.5EC

Properties

  • Semester hours: 1.0
  • Credits: 1.5
  • Type: SE Seminar
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to

  • desribe the problem tackled in their master thesis and its relevance
  • select an appropriate resarch method to tackle the problem
  • define and present a approriate approach to solve the problem
  • evaluate the approach with respect to the problem definition
  • present and defend the proposal as well as the results of the master thesis

Subject of course

This seminar is mandatory for all students of the Master Data Science.

Presentations of master thesis proposal and final results of the master thesis.

Teaching methods

  • Presentations on the status-quo of the master thesis.
  • Review of a proposal written by a colleague
  • Discussion on problem statement, methods, state-of-the-art, results and evaluation of the presentet proposals / final master theses.

Mode of examination

Immanent

Additional information

Please consider the plagiarism guidelines of TU Wien when writing your seminar paper: Directive concerning the handling of plagiarism (PDF)

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon15:00 - 16:0027.09.2021 Zoom Link will be announced in the TUWEL course (LIVE)Preliminary Presentation
Mon16:00 - 19:0027.09.2021 Zoom Link will be announced in the TUWEL course (LIVE)Seminar Day 1
Mon13:30 - 19:0029.11.2021 Zoom Link will be announced in the TUWEL course (LIVE)Seminar Day 2
Mon13:30 - 19:0017.01.2022 Not yet decided whether online or in classroom (LIVE)Seminar Day 3

Examination modalities

Assessment  of both presentations and of the review.

Course registration

Begin End Deregistration end
06.09.2021 12:00 26.09.2021 23:59

Registration modalities

Registration for the course is only necessary for newcomers to the seminar to get access to the TUWEL course, where the link to the Zoom meeting will be announced. Those who receive the info about the TU'WEL course based on their participation in the previous semester do not need to register here again. 

Curricula

Study CodeSemesterPrecon.Info
066 645 Data Science

Literature

No lecture notes are available.

Language

English