Post it (Extension Study Programme)

Supplementary Programme Scientific Computing

Faculty
Faculty of Mathematics, Computer Science and Physics
Duration / ECTS-Credits
2 semesters / 60 ECTS-Credits
Academic Degree
-
Qualification Level
Supplementary Programme
ISCED-11: Level 6, EQR/NQR: Level 6
ISCED-F 0613 Software and applications development and analysis
Mode of Study
Full-Time
Study Code
UC 045 019 xxx - Bachelor's Programme
UC 045 019 198 - Bachelor's Programme Secondary School Teacher Training
UC 046 019 xxx - Master's Programme
UC 046 019 199 - Master's Programme Secondary School Teacher Training
UC 047 019 190 - Diploma Programme Secondary School Teacher Training
Curriculum Information on the Curriculum (2022W)
Language of Instruction   English
Admission Requirements
Admission to the Supplementary Programme requres admission to or already having completed one of the following Bachelor's, Master's or Diploma Programmes. *
Application The admisstion to the Supplementary Programme takes place in the admission department.


Information on the curriculum (2022W)

The complete version of the curriculum (follows soon) reflects the currently valid version of the curriculum. It is for informational purposes only and is not legally binding. The legally binding version of the curriculum, including any amendments, may be found in the University of Innsbruck Bulletins.

 In order to determine which version of the curriculum is applicable in your case, see the Catalogue of Studies,
  available at: http://orawww.uibk.ac.at/public/lfuonline_meinestudien.studienblatt
  Section: Current Curriculum version.

University of Innsbruck Bulletins » (Click to open all University of Innsbruck Bulletins)

Admission

Admission to the Supplementary Programme Computer Science requires the admission to or the having passed of one of the following Bachelor’s, Master’s or Diploma Study Programmes:

Bachelor's Programmes »

Bachelor’s Secondary School Teacher Training Programme (General Education) with at least one of the following teaching subjects »

Master's Programmes »

Master’s Secondary School Teacher Training Programme (General Education) with at least one of the following teaching subjects »

Diploma Secondary School Teacher Training with at least one of the following teaching subjects »

Recommended Course Sequence

The exemplary course sequence given below is recommended for full-time students beginning their study programme in the winter semester. The table shows one possible course sequence for the bachelor's programme and is not compulsory. Delays resulting from repeated examinations are not taken into account.

The standard duration of the study programme is 2 semesters or 60 ECTS-Credits, whereby according to the Universities Act of 2002, a workload of 1,500 (real) hours per academic year must be fulfilled, corresponding to 60 ECTS-Credits (one ECTS-Credit is equivalent to a workload of 25 hours).

First Semester »

2.0 ECTS-Credits: Einführung in das Scientific Computing
3.0 ECTS-Credits: Softwaremanagement für das Scientific Computing
5.0 ECTS-Credits: Grundlagen des Scientific Computing
5.0 ECTS-Credits: Modellierung als Simulationsgrundlage
5.0 ECTS-Credits: C und C++ in der Simulationsentwicklung
5.0 ECTS-Credits: Numerik partieller Differentialgleichungen
5.0 ECTS-Credits: Numerik ausgewählter Probleme

Second Semester »

5.0 ECTS-Credits: Numerik für das High Performance Computing
5.0 ECTS-Credits: HPC Implementierungen A: Parallelisierung
5.0 ECTS-Credits: HPC Implementierungen B: Beschleuniger
5.0 ECTS-Credits: Angewandtes HPC
2.0 ECTS-Credits: Fallbeispiele des HPC
3.0 ECTS-Credits: Softwarelösungen im HPC
5.0 ECTS-Credits: Management und Visualisierung von Simulationsdaten

Qualification Profile and Skills

(1) The Supplementary Programme Scientific Computing at the University of Innsbruck is aimed at students and graduates who wish to expand their qualification profile with a scientifically based additional education in the field of scientific computing.

(2) Graduates of Supplementary Programme Scientific Computing are able to identify and address current issues in science, business, and society that can be answered through modelling and efficient computer simulations:

  • They are knowledgeable in the relevant subfields of mathematics, computer science, natural and technical sciences and draw on the latest research in scientific computing.
  • They are familiar with methods of scientific mathematical modelling, its limitations and the need to communicate the latter accordingly.
  • They are proficient in numerical mathematics and efficient programming of conventional systems and computer systems optimized for high-performance computing.
  • The acquired competence to learn and link a wide range of skills enables graduates to improve their expertise independently.
  • Raised awareness of gender issues and gender relations in science through adapted teaching and communications enables future contributions to a gender-equal society.

Expected Learning Outcomes

Students acquire core competences in the field of scientific computing. They gain method-based knowledge for efficiently answering questions from science, business and society in the area of modelling and computer simulation with a focus on responsible communication of the results.

Future Prospects: Occupational Profiles and Carreer Opportunities:

Graduates of the Supplementary Programme Scientific Computing are particularly qualified for:

  • Development-related professions in the context of Industry 4.0, business, medicine, banking and insurance, in which relevant problems of modeling and simulation are worked on in interdisciplinary teams.

  • Research on modeling and simulation in scientific fields that form the basis of scientific computing, as well as the application of scientific computing methods to answer appropriately prepared research questions from other fields.

Career opportunities can be found in the field of scientific computing, as well as outside of the supplemental degree programme.

Forms (in German only)

Recognition of exams

  • Recognition of exams AND Supplementary Sheet

Contact and Information

Examination Office
Standort Technikerstraße 17 Piktogramm barrierefreier Zugang

Dean of Studies
Univ.-Prof. Dr. Thomas Franosch

Dean
Univ.-Prof. Mag. Dr. Alexander Ostermann

General information
scientific-computing@uibk.ac.at

Information for students with disabilities 


Nach oben scrollen