Universität Wien

050132 UE Advanced Software Engineering (2011W)

3.00 ECTS (2.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work

Summary

1 Zdun , Moodle
2 Zdun , Moodle

Registration/Deregistration

Groups

Group 1

Vorbesprechung am MO 03.10.2011 14.00-16.00 Ort: Hörsaal 26 Hauptgebäude, Tiefparterre, Stiege 5 werden die weiteren Termine bekanntgegeben, Ort der UE: n.V. mit LV-Leiter voraussichtlich Seminarraum, Software Architecture, Berggasse 11, 1. Stock, Top 2, 9. Bezirk

max. 25 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 03.10. 14:00 - 16:00 (ehem. Seminarraum 10 Hauptgebäude, Tiefparterre Stiege 5 Hof 3)

Group 2

Vorbesprechung am MO 03.10.2011 14.00-16.00 Ort: Hörsaal 26 Hauptgebäude, Tiefparterre, Stiege 5 werden die weiteren Termine bekanntgegeben, Ort der UE: n.V. mit LV-Leiter voraussichtlich Seminarraum, Software Architecture, Berggasse 11, 1. Stock, Top 2, 9. Bezirk

max. 25 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 03.10. 14:00 - 16:00 (ehem. Seminarraum 10 Hauptgebäude, Tiefparterre Stiege 5 Hof 3)

Information

Aims, contents and method of the course

Details and lecture materials for the course can be found in the teaching platform. Please register via https://elearning.univie.ac.at/. If you have any questions, please first use the forum in the teaching platform and second you can use: ase [AT] swa.univie.ac.at.

The topics of the lecture are domain-driven design, model-driven software development, domain specific languages, scripting, and dynamic languages.

Knowledge in Java, OOP, OOD, modeling is recommended.
Attending the parallel offered lecture 050131 Advanced Software Engineering is highly recommended, because there the theoretical basics are presented on which the structure of the course is based.

Assessment and permitted materials

Practical assignments and interviews with the following grading scheme:

>= 87,50%: 1 (sehr gut);
>= 75,00%: 2 (gut);
>= 62,50%: 3 (befriedigend);
>= 50,00 %: 4 (ausreichend);
< 50,00%: 5 (nicht bestanden).

Minimum requirements and assessment criteria

Lab Course for the Lecture Contents

Examination topics

Practical Assignments

Reading list

Vorlesungsunterlagen und die LV-Einheiten begleitende Texte

Association in the course directory

Last modified: Tu 01.10.2024 00:09