184.754 Seminar on Algorithms
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2018S, SE, 2.0h, 3.0EC

Properties

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

Aim of course

The seminar elaborates on the topics of a previous lecture, this time the lectures on "Advanced Multiprocessor Programming" and "High Performance Computing". The seminar can serve the preparation towards the master thesis.

Subject of course

Reading and presentation of current research papers. Each participant reads 1-3 papers on a more or less closed topic (algorithm, system, problem) and presents these to the group;  this is completed by a short written exposition. Detailed discussion during the presentation is most important.

Additional information

IMPORTANT: all interested students should be present at the first planning meeting where the papers will be selected.

Dates: see course website 


Please consider the plagiarism guidelines of TU Wien when writing your seminar paper: http://www.tuwien.ac.at/fileadmin/t/ukanzlei/t-ukanzlei-english/Plagiarism.pdf


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

Lecturers

Institute

Examination modalities

Successful presentation of the selected papers, afterwards a written summary/exposition will be prepared.

Course registration

Begin End Deregistration end
14.03.2018 00:00 11.07.2018 23:59 21.03.2018 23:59

Curricula

Study CodeObligationSemesterPrecon.Info
066 504 Master programme Embedded Systems Mandatory elective
066 931 Logic and Computation Mandatory elective
066 937 Software Engineering & Internet Computing Mandatory elective
066 950 Didactic for Informatics Mandatory elective
860 GW Optional Courses - Technical Mathematics Not specified

Literature

No lecture notes are available.

Previous knowledge

Introduction to Parallel Computing, Advanced Multiprocessor Programming, Parallel Algorithms, High Performance Computing (or similar).

Miscellaneous

Language

if required in English