Universität Wien FIND

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052511 VU Cloud Computing (2020W)

Continuous assessment of course work
We 20.01. 16:45-18:15 Digital

Registration/Deregistration

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Thursday 01.10. 18:30 - 20:00 Digital
Wednesday 07.10. 16:45 - 18:15 Digital
Thursday 08.10. 18:30 - 20:00 Digital
Wednesday 14.10. 16:45 - 18:15 Digital
Thursday 15.10. 18:30 - 20:00 Digital
Wednesday 21.10. 16:45 - 18:15 Digital
Thursday 22.10. 18:30 - 20:00 Digital
Wednesday 28.10. 16:45 - 18:15 Digital
Thursday 29.10. 18:30 - 20:00 Digital
Wednesday 04.11. 16:45 - 18:15 Digital
Thursday 05.11. 18:30 - 20:00 Digital
Wednesday 11.11. 16:45 - 18:15 Digital
Thursday 12.11. 18:30 - 20:00 Digital
Wednesday 18.11. 16:45 - 18:15 Digital
Thursday 19.11. 18:30 - 20:00 Digital
Wednesday 25.11. 16:45 - 18:15 Digital
Thursday 26.11. 18:30 - 20:00 Digital
Wednesday 02.12. 16:45 - 18:15 Digital
Thursday 03.12. 18:30 - 20:00 Digital
Wednesday 09.12. 16:45 - 18:15 Digital
Thursday 10.12. 18:30 - 20:00 Digital
Wednesday 16.12. 16:45 - 18:15 Digital
Thursday 17.12. 18:30 - 20:00 Digital
Thursday 07.01. 18:30 - 20:00 Digital
Wednesday 13.01. 16:45 - 18:15 Digital
Thursday 14.01. 18:30 - 20:00 Digital
Thursday 21.01. 18:30 - 20:00 Digital
Wednesday 27.01. 16:45 - 18:15 Digital
Thursday 28.01. 18:30 - 20:00 Digital

Information

Aims, contents and method of the course

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.

Assessment and permitted materials

Assignments, tests

Minimum requirements and assessment criteria

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)

Examination topics

Course materials and accompanying literature. Theoretical and practical assignments.

Reading list

see lecture materials and Moodle site

Association in the course directory

Module: HEC CC

Last modified: We 07.10.2020 16:48