Universität Wien

052511 VU Cloud Computing (2024W)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Prüfungsimmanente Lehrveranstaltung
Moodle
Do 07.11. 18:30-20:00 Hörsaal A UniCampus Zugang Hof 2 2F-EG-32
PC-Unterrichtsraum 4, Währinger Straße 29 1.OG

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 25 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Students that are registered in u:space:

To claim your seat in the lecture, please confirm your attendance using the "Attendance Confirmation" feature on the course's Moodle page until Oct. 4. Students without confirmation will be automatically deregistered. Also note that for registered students attendance at the first lecture is not mandatory.

Students that are not registered:

Students that are on the waiting list and want to be considered for eventual registration to the course, need to come to the first lecture and sign the waiting list. Afterwards, if seats become available, they might be registered to the course.

Please note that registration requests via email cannot be considered.

  • Mittwoch 02.10. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Donnerstag 03.10. 18:30 - 20:00 Hörsaal A UniCampus Zugang Hof 2 2F-EG-32
  • Mittwoch 09.10. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Donnerstag 10.10. 18:30 - 20:00 Hörsaal A UniCampus Zugang Hof 2 2F-EG-32
  • Mittwoch 16.10. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Donnerstag 17.10. 18:30 - 20:00 Hörsaal A UniCampus Zugang Hof 2 2F-EG-32
  • Mittwoch 23.10. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Donnerstag 24.10. 18:30 - 20:00 Hörsaal A UniCampus Zugang Hof 2 2F-EG-32
  • Mittwoch 30.10. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Donnerstag 31.10. 18:30 - 20:00 Hörsaal A UniCampus Zugang Hof 2 2F-EG-32
  • Mittwoch 06.11. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Mittwoch 13.11. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Donnerstag 14.11. 18:30 - 20:00 Hörsaal A UniCampus Zugang Hof 2 2F-EG-32
  • Mittwoch 20.11. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Donnerstag 21.11. 18:30 - 20:00 Hörsaal A UniCampus Zugang Hof 2 2F-EG-32
  • Mittwoch 27.11. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Donnerstag 28.11. 18:30 - 20:00 Hörsaal A UniCampus Zugang Hof 2 2F-EG-32
  • Mittwoch 04.12. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Donnerstag 05.12. 18:30 - 20:00 Hörsaal A UniCampus Zugang Hof 2 2F-EG-32
  • Mittwoch 11.12. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Donnerstag 12.12. 18:30 - 20:00 Hörsaal A UniCampus Zugang Hof 2 2F-EG-32
  • Mittwoch 08.01. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Donnerstag 09.01. 18:30 - 20:00 Hörsaal A UniCampus Zugang Hof 2 2F-EG-32
  • Mittwoch 15.01. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Donnerstag 16.01. 18:30 - 20:00 Hörsaal A UniCampus Zugang Hof 2 2F-EG-32
  • Mittwoch 22.01. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Donnerstag 23.01. 18:30 - 20:00 Hörsaal A UniCampus Zugang Hof 2 2F-EG-32
  • Mittwoch 29.01. 09:45 - 11:15 Hörsaal II NIG Erdgeschoß
  • Donnerstag 30.01. 18:30 - 20:00 Hörsaal A UniCampus Zugang Hof 2 2F-EG-32

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

Understanding and assessment of fundamental concepts and principles for development of Cloud-based applications and infrastructures. Ability to set up and maintain Cloud infrastructures and development of Cloud-based applications using state-of-the-art cloud computing frameworks, cloud toolkits, cloud services and Big Data technologies.

Art der Leistungskontrolle und erlaubte Hilfsmittel

All assignments must be submitted before the deadline via the designated platform.

The use of aids, unless explicitly permitted by the lecturers, is not permitted.
Any sources and third-party materials must be cited.
Submitted assignments and exams are subject to checks for plagiarism and/or cheating using automated tools and individual reviews. Any use of fraudulent means will result in an 'X' on your transcript, signifying that you have been found guilty of cheating or plagiarism.

Mindestanforderungen und Beurteilungsmaßstab

Prerequisite knowledge:
Software Engineering, OOP, Java, parallel computing, Linux administration

Prerequisite courses:
IS Technology (alter Studienplan) or Scientific Programming (alter Studienplan) or Distributed Systems Engineering or Parallel Computing
Grading is based on partial assessments (assignments and tests). A partial assessment is positive if at least 30% are reached.

Requirements for a positive grade:
overall at least 50% on all partial assessments (assignments and tests)
AND
at most one negative partial assessment (assignment or test)

Grading scheme:
>= 88% --> Sehr Gut (1)
>= 75% and at most 1 negative partial assessment --> Gut (2)
>= 62% and at most 1 negative partial assessment --> Befriedigend (3)
>= 50% and at most 1 negative partial assessment --> Genügend (4)
< 50% or more than 1 negative partial assessment --> Nicht Genügend (5)

Attendance: In-person participation in the first lecture, labs and test/exams is mandatory.

Prüfungsstoff

Course materials and accompanying literature. Theoretical and practical assignments.

Literatur

See lecture materials and Moodle site

Zuordnung im Vorlesungsverzeichnis

Module: HEC CC

Letzte Änderung: Di 05.11.2024 07:25