195.072 Current Trends in Computer 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.

2022S, VU, 1.0h, 1.5EC
TUWEL

Properties

  • Semester hours: 1.0
  • Credits: 1.5
  • Type: VU Lecture and Exercise
  • Format: Online

Learning outcomes

After successful completion of the course, students are able to

- actively follow presentations of scientists about their ongoing research activities, and ask relevant questions

- elaborate a concise summary on a scientific presentation

- enumerate current trends in computer science and competently engage in a discussion on them

Subject of course

Guest professors invited by the TU Wien Informatics Doctoral School will give a (typically) 45-minute talk about their research area, followed by a 30min discussion

In the summer term 2022 we scheduled the following talks by guest professors:

* April 27, 17:00: Alex Yakovlev -- Data-Driven Computing (online, use this Zoom Link), see https://informatics.tuwien.ac.at/news/2199

* May 5, 17:30, Kuppelsaal: Panel with Marc Rotenberg, see https://informatics.tuwien.ac.at/stories/2194

* May 10, 11:00, HS14A: Joost-Pieter Katoen -- Mechanically Finding the Right Probabilities, see https://informatics.tuwien.ac.at/news/2200

* May 24, 17:30, TUtheSky: Edward Lee -- Limits of Machines, Limits of Humans, see https://informatics.tuwien.ac.at/news/2203

June 13, 16:00, EI2: Thomas Meyer -- Knowledge Representation and Reasoning (in the age of Machine Learning), see https://informatics.tuwien.ac.at/news/2206

June 21, 11:00, SR DE0110: Ozgur Sinanoglu -- Do you trust your chip?, see https://informatics.tuwien.ac.at/news/2226

* June 28: 14:00, HS 15 (Karlsplatz 13): Leonardo Mariani, see https://informatics.tuwien.ac.at/news/2230

Teaching methods

Guest professors invited by the TU Wien Informatics Doctoral School will give a 45-minute talk about their research areas. Such an event typically takes 90 minutes, including welcome, talk and discussion; but depending on the specific situation this can vary.

Mode of examination

Immanent

Additional information

Please visit TUWEL to:

  • Download the slides of the talks (if available)
  • Download the template for the assignment
  • Upload your assignment

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu17:30 - 19:0005.05.2022 Kuppelsaal, TU Wien - Karlsplatz 13Panel discussion with Marc Rotenberg
Tue11:00 - 13:0010.05.2022HS 14A Günther Feuerstein Talk Katoen
Tue17:30 - 19:0024.05.2022 TU Wien, Campus Getreidemarkt, room: TUtheSkyTalk Edward Lee
Mon16:00 - 18:0013.06.2022EI 2 Pichelmayer HS - ETIT Talk Thomas Meyer
Tue11:00 - 13:0021.06.2022Seminarraum DE0110 Talk Ozgur Sinanoglu
Tue14:00 - 16:0028.06.2022Hörsaal 15 Talk Mariani

Examination modalities

The plan is to have at least 6 talks in total during this study year 2021/22 (one has already been in the winter term, 5 are following in the summer term).

Preferably, students attend 5 talks, choose 3 of those for their report and give a summary of at least 2 pages for each.

Students who can only attend 4 talks also pick 3 talks for their summary, but this summary must comprise at least 3 pages for each talk.

Students will be graded provided that the following requirements are fulfilled:

  • Attendance to at least 4 talks (to be proven).
  • Submission of assignment.

Talks are offered both in winter term 2021/22 and summer term 2022, and any combination of all those may be chosen (but the course will definitely end after the summer term, a further combination with talks from the winter term 22/23 will not be possible).

The reports must be written in English and in latex (a template is provided in TUWEL). The deadline for submission of the assignment is July 31st at 23:55h through TUWEL.

Course registration

Begin End Deregistration end
08.02.2022 00:00 17.04.2022 23:59

Registration modalities

Please register in TISS.

Curricula

Study CodeObligationSemesterPrecon.Info
066 645 Data Science Not specified
175 FW Elective Courses - Economics and Computer Science Elective
880 FW Elective Courses - Computer Science Not specified

Literature

No lecture notes are available.

Language

English