Universität Wien FIND

Bedingt durch die COVID-19-Pandemie können kurzfristige Änderungen bei Lehrveranstaltungen und Prüfungen (z.B. Absage von Vor-Ort-Lehre und Umstellung auf Online-Prüfungen) erforderlich sein. Melden Sie sich für Lehrveranstaltungen/Prüfungen über u:space an, informieren Sie sich über den aktuellen Stand auf u:find und auf der Lernplattform moodle.

Regelungen zum Lehrbetrieb vor Ort inkl. Eintrittstests finden Sie unter https://studieren.univie.ac.at/info.

Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.

052500 VU Distributed Systems Engineering (2020W)

Prüfungsimmanente Lehrveranstaltung

Zusammenfassung

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
An/Abmeldeinformationen sind bei der jeweiligen Gruppe verfügbar.

Gruppen

Gruppe 1

max. 50 Teilnehmer*innen
Sprache: Englisch
Lernplattform: Moodle

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

The preliminary talk will take place for all course groups on Monday 05.10.2020 11:30 in Moodle https://moodle.univie.ac.at/.
The participation in the introductory quiz (INTRO) is an absolute prerequisite for the final admission to the course.
The INTRO quiz is open from 05.10.2020 14:00 to 12.10.2020 23:59 in Moodle.

Montag 05.10. 11:30 - 13:00 Digital
Montag 05.10. 15:00 - 16:30 Digital
Montag 12.10. 11:30 - 13:00 Digital
Montag 12.10. 15:00 - 16:30 Digital
Montag 19.10. 11:30 - 13:00 Digital
Montag 19.10. 15:00 - 16:30 Digital
Montag 09.11. 11:30 - 13:00 Digital
Montag 09.11. 15:00 - 16:30 Digital
Montag 16.11. 11:30 - 13:00 Digital
Montag 16.11. 15:00 - 16:30 Digital
Montag 23.11. 11:30 - 13:00 Digital
Montag 23.11. 15:00 - 16:30 Digital
Dienstag 24.11. 13:15 - 14:45 Digital
Montag 30.11. 11:30 - 13:00 Digital
Montag 30.11. 15:00 - 16:30 Digital
Montag 07.12. 11:30 - 13:00 Digital
Montag 07.12. 15:00 - 16:30 Digital
Montag 14.12. 11:30 - 13:00 Digital
Montag 14.12. 15:00 - 16:30 Digital
Montag 11.01. 11:30 - 13:00 Digital
Montag 11.01. 15:00 - 16:30 Digital
Montag 18.01. 11:30 - 13:00 Digital
Montag 18.01. 15:00 - 16:30 Digital
Dienstag 19.01. 15:00 - 16:30 Digital
Montag 25.01. 11:30 - 13:00 Digital
Montag 25.01. 15:00 - 16:30 Digital

Gruppe 2

max. 50 Teilnehmer*innen
Sprache: Englisch
Lernplattform: Moodle

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

The preliminary talk will take place for all course groups on Montag 05.10.2020 11:30 in Moodle https://moodle.univie.ac.at/.
The participation in the introductory quiz (INTRO) is an absolute prerequisite for the final admission to the course.
The INTRO quiz is open from 05.10.2020 14:00 to 12.10.2020 23:59 in Moodle.

Montag 05.10. 11:30 - 13:00 Digital
Montag 05.10. 15:00 - 16:30 Digital
Montag 12.10. 11:30 - 13:00 Digital
Montag 12.10. 15:00 - 16:30 Digital
Montag 19.10. 11:30 - 13:00 Digital
Montag 19.10. 15:00 - 16:30 Digital
Montag 09.11. 11:30 - 13:00 Digital
Montag 09.11. 15:00 - 16:30 Digital
Montag 16.11. 11:30 - 13:00 Digital
Montag 16.11. 15:00 - 16:30 Digital
Montag 23.11. 11:30 - 13:00 Digital
Montag 23.11. 15:00 - 16:30 Digital
Dienstag 24.11. 13:15 - 14:45 Digital
Montag 30.11. 11:30 - 13:00 Digital
Montag 30.11. 15:00 - 16:30 Digital
Montag 07.12. 11:30 - 13:00 Digital
Montag 07.12. 15:00 - 16:30 Digital
Montag 14.12. 11:30 - 13:00 Digital
Montag 14.12. 15:00 - 16:30 Digital
Montag 11.01. 11:30 - 13:00 Digital
Montag 11.01. 15:00 - 16:30 Digital
Montag 18.01. 11:30 - 13:00 Digital
Montag 18.01. 15:00 - 16:30 Digital
Dienstag 19.01. 15:00 - 16:30 Digital
Montag 25.01. 11:30 - 13:00 Digital
Montag 25.01. 15:00 - 16:30 Digital

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

Details and lecture materials for the course can be found in the teaching platform which is accessible at https://moodle.univie.ac.at/. If you have any individual questions, please use: dse [AT] swa.univie.ac.at. For general questions please use the provided teaching platform such that also your colleagues benefit from the discussions.

The topics of the lecture are foundational distributed IS technologies such as distributed system design, development with sockets, concurrency, remote objects, services, REST, service-oriented architectures (SOA), messaging und enterprise application integration (EAI). You will work on these topics in practice and/or theory.

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
* Blended Learning

Art der Leistungskontrolle und erlaubte Hilfsmittel

* Several written examinations
* Practical project, to be tackled by a selected group of students (distributed software project: preparation/analysis, design, implementation, and presentation)
* Theoretical analysis of tasks and related literature studies
* Contribution during but also outside the course units (e.g., studying lecture, online, and 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 handed in due time via Moodle/GitLab or the respective 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. The practical assignment is a group project which must be worked on only by the respective group members. Any sources and third party materials must be cited while working on the submissions.

Mindestanforderungen und Beurteilungsmaßstab

To pass the course, at least 40% of the possible 44 points for the written exams must be reached.
To pass the course, at least 40% of the possible 42 points for the practical part must be reached.
To pass the course, at least 50% of the overall 100 points must be reached. In addition to exam and assignment these 100 points include points which can be earned by: giving feedback and participating in a number of quizzes.

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)
-----------------------------------------
- not passed: Nicht Genügend (5)

Attendance:
An active participation in the first session (the preliminary lecture) and especially the INTRO quiz is mandatory.

After the preliminary lecture:
* Theoretical part: no compulsory attendance. Active participation in these units is recommended to support your exam preparations.
* Practical part: no compulsory attendance. Active participation is recommended to get feedback on your concepts and designs and to discuss questions related to the given assignment.
* Submission presentation: compulsory attendance on the dates assigned to the students.

Prüfungsstoff

* Lecture notes (as slides) and exercise materials from Moodle
* Worksheets 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. This can be done on concrete suspicion or on a random basis. Any (partial) performance obtained by fraud leads to an 'X' in your transcript, meaning that you have been caught cheating or plagiarizing.

Literatur

M. Völter, M. Kircher, U. Zdun: Remoting Pattern. Wiley & Sons (2004)
G. Hohpe, B. Woolf: Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions. Addison Wesley (2003)
A. S. Tanenbaum, M. van Steen: Distributed Systems: Principles and Paradigms. CreateSpace (2016)
C. Kecher, A. Salvanos: UML 2.5: Das umfassende Handbuch. Rheinwerk Computing (2015)

Further:
* Lecture slides and the accompanying course material.
* For each course unit, we provide additional recommended reading materials including Web references.

Zuordnung im Vorlesungsverzeichnis

Module: VMI VIN IST DSE

Letzte Änderung: Mo 05.10.2020 10:08