Universität Wien
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053020 VU Advanced Software Engineering (2024W)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work

Es kann derzeit nicht garantiert werden, dass der Kurs zuätzlich im Wintersemester stattfindet. Bei Interesse melden Sie sich bitte an.
Moodle
Th 03.10. 11:30-13:00 Digital

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 10.10. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 17.10. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 24.10. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 31.10. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 07.11. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 14.11. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 21.11. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 28.11. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 05.12. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 12.12. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 09.01. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 16.01. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 23.01. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG
  • Thursday 30.01. 11:30 - 13:00 Hörsaal 2, Währinger Straße 29 2.OG

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://moodle.univie.ac.at/. If you have any questions, please use: ase [AT] swa.univie.ac.at. For general questions, please use the provided teaching platform so that your colleagues benefit from the discussions.

The topics of the lecture are Domain-Driven Design, Advanced Software Architectures including Distributed System Architectures and Microservices Architectures, Architecture and Architecture Decision Modelling, and Continuous Delivery/DevOps.

Methods:
* Interactive discourse with your colleagues and lecturers
* Conception, planning and implementation of a simplified but realistic project
* Individual and group work on related practical and theoretical topics
* Students can present submissions and concepts to receive feedback
* Online self-evaluation and programming tasks
* Blended Learning

Assessment and permitted materials

* Several written examinations
* Practical programming and design projects (PDPs) and solutions to worksheet tasks
* Presentation of these solutions in class
* Theoretical analysis of tasks and related literature studies
* Active participation during but also outside the course units (studying lecture material, online discussion in the forum, studying written materials, taking part in self-assessment tasks, etc.)
* Working on the provided materials and presenting the results, ideas, and concepts

All submissions must be submitted on time via Moodle/GitLab or the relevant platform. The use of aids (unless explicitly permitted by the lecturers before the exam) during the exams is not permitted. All exams/quizzes are individual work. Any sources and third-party materials must be cited while working on the submissions.

Minimum requirements and assessment criteria

To pass the course, at least 40% of the possible 78 points for the two lecture exams must be reached.

To pass the course, at least 50% of the overall 100 points must be reached. In addition to exams and assignments, these 100 points include points that can be earned by practical assignments and giving feedback (1 point). In addition to these 100 points, 6 bonus points can be earned by active lecture participation. The bonus points can be used to satisfy this requirement of reaching 50% of the overall 100 points. The maximum number of total points is 100 points.

If the course is passed, the grade is determined from the total of the achieved points as follows:
- >= 89 total points: Sehr Gut (1)
- >= 76 total points: Gut (2)
- >= 63 total points: Befriedigend (3)
- >= 50 total points: Genügend (4)
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- not passed: Nicht Genügend (5)

Attendance:
* Active participation in the preliminary talk and exams is mandatory (explained in the preliminary talk).
* Lecture units on worksheets and PDPs: no compulsory attendance. Active participation in these units is recommended to support your exam preparation and achieve bonus points.

Examination topics

* Lecture notes (as slides) and exercise materials on Moodle
* Worksheets, PDPs, and self-evaluation quizzes
* Lecture sessions, materials, and the practical assignment
* Literature/Web References on the Reading List, Provided Reading Materials, and Reference Literature
* Programming and modeling skills are required

Quality assurance:
All content submitted by students can be checked for plagiarism and/or cheating using automatic tools and individual inquiries. Checks can be carried out on concrete suspicion or a random basis. Any (partial) performance obtained by fraud leads to an 'X' in your transcript, meaning you have been caught cheating or plagiarizing.

Reading list

Lecture slides and the accompanying course material. Literature provided in the course materials.

Association in the course directory

Module: ASE

Last modified: We 11.09.2024 11:25