052511 VU Cloud Computing (2025W)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Fr 12.09.2025 09:00 bis Mo 22.09.2025 09:00
- Abmeldung bis Di 14.10.2025 23:59
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. 10. 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 01.10. 09:45 - 11:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
- Donnerstag 02.10. 18:30 - 20:00 Hörsaal B UniCampus Hof 2 2C-EG-02
- Mittwoch 08.10. 09:45 - 11:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
- Donnerstag 09.10. 18:30 - 20:00 Hörsaal B UniCampus Hof 2 2C-EG-02
- Mittwoch 15.10. 09:45 - 11:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
- Donnerstag 16.10. 18:30 - 20:00 Hörsaal B UniCampus Hof 2 2C-EG-02
- Mittwoch 22.10. 09:45 - 11:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
- Donnerstag 23.10. 18:30 - 20:00 Hörsaal B UniCampus Hof 2 2C-EG-02
- Mittwoch 29.10. 09:45 - 11:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
- Donnerstag 30.10. 18:30 - 20:00 Hörsaal B UniCampus Hof 2 2C-EG-02
- Mittwoch 05.11. 09:45 - 11:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
- Donnerstag 06.11. 18:30 - 20:00 Hörsaal B UniCampus Hof 2 2C-EG-02
- Mittwoch 12.11. 09:45 - 11:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
-
Donnerstag
13.11.
18:30 - 20:00
Hörsaal B UniCampus Hof 2 2C-EG-02
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
PC-Unterrichtsraum 4, Währinger Straße 29 1.OG - Mittwoch 19.11. 09:45 - 11:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
- Donnerstag 20.11. 18:30 - 20:00 Hörsaal B UniCampus Hof 2 2C-EG-02
- Mittwoch 26.11. 09:45 - 11:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
- Donnerstag 27.11. 18:30 - 20:00 Seminarraum 5, Kolingasse 14-16, EG00
- Mittwoch 03.12. 09:45 - 11:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
- Donnerstag 04.12. 18:30 - 20:00 Seminarraum 5, Kolingasse 14-16, EG00
- Mittwoch 10.12. 09:45 - 11:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
-
Donnerstag
11.12.
18:30 - 20:00
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Seminarraum 5, Kolingasse 14-16, EG00 - Mittwoch 17.12. 09:45 - 11:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
- Donnerstag 18.12. 18:30 - 20:00 Seminarraum 5, Kolingasse 14-16, EG00
- Mittwoch 07.01. 09:45 - 11:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
- Donnerstag 08.01. 18:30 - 20:00 Seminarraum 5, Kolingasse 14-16, EG00
- Mittwoch 14.01. 09:45 - 11:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
- Donnerstag 15.01. 18:30 - 20:00 Seminarraum 5, Kolingasse 14-16, EG00
- Mittwoch 21.01. 09:45 - 11:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
-
Donnerstag
22.01.
18:30 - 20:00
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Seminarraum 5, Kolingasse 14-16, EG00 - Mittwoch 28.01. 09:45 - 11:15 Hörsaal 50 Hauptgebäude, 2.Stock, Stiege 8
-
Donnerstag
29.01.
18:30 - 20:00
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Seminarraum 5, Kolingasse 14-16, EG00
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.
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 administrationPrerequisite 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.
Software Engineering, OOP, Java, parallel computing, Linux administrationPrerequisite 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 21.10.2025 13:46