188.962 Seminar in Artificial Intelligence
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020S, SE, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: SE Seminar

Learning outcomes

After successful completion of the course, students are able to describe, review, and summarize a concrete topic within the research landscape of Artificial Intelligence, finding relevant literature and classifiy it, describe the state of the art, name current limitations, and present all in an audience-tailored fashion.

Subject of course

methods of AI / machine learning / data analysis

capabilities and limitations of existing models

applications in different domains

Teaching methods

Constructive feedback on independent literature review, intermediate presentations, report writing, final presentation

Mode of examination

Immanent

Additional information

Schedule:

  • Kickoff
  • Abstract of chosen topic
  • Submission BibTeX file with minimum 20 references (approx. 10 before and 10 after 2005)
  • Submission of paper in ACM-Style (LaTeX2e - strict adherence to SIG style, zip/tar archive with LaTeX paper sources + PDF): http://www.acm.org/sigs/pubs/proceed/template.html
  • Submission of slides for presentation
  • Presentations
Please consider the plagiarism guidelines of TU Wien when writing your seminar paper: Directive concerning the handling of plagiarism (PDF)

Lecturers

Institute

Examination modalities

Grading of literature review, intermediate presentations, written report, final presentation

Course registration

Begin End Deregistration end
15.03.2020 18:00 22.03.2020 23:59 22.03.2020 23:59

Curricula

Study CodeObligationSemesterPrecon.Info
066 931 Logic and Computation Mandatory elective
066 936 Medical Informatics Mandatory elective

Literature

No lecture notes are available.

Language

if required in English