Hochschule Darmstadt - Fb Informatik

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Module:Cloud-Computing Technologies
Module numbers:41.4982 [PVL 41.4983]
Study programme:Dualer Master 2013 - Katalog AS: Anwendungs- und systemorientierte Module
JIM 2013 - Elective Catalogue J
Master 2013 - Katalog AS: Anwendungs- und systemorientierte Module
JIM 2006 - Courses
Master 2006 - Katalog AS: Anwendungs- und systemorientierte Module
MN Data Science 2016 - Katalog M-I_I: Allgemeine Wahlpflicht Informatik
Type of course:V+P = Lecture+Practical
Weekly hours:2+2
Credit Points:6
Exam:written exam
Registering for examexplicitly and independent of booking
PVL (e.g. Practical):not graded (Practical and presentation of internship results)
Frequency of offering:guest lecture (lastly in SS 2019)
Required knowledge:Knowledge in the fields of programming, operating systems and distributed systems
Learning objectives:The students should get to know concepts and technologies from the field of Cloud Computing and be able to implement their application in a practical environment.
They should get to know the informational aspects of cloud computing as well as the dependencies and influences and be able to take them into account during implementation.
Content:Cloud Computing Concepts
  • Definitions and key terms
  • Application scenarios
Cloud computing technologies
  • Virtualization, Web Services
  • Cloud Infrastructure Management
  • Programming models, e.g. map reduction and implementations
  • Distributed file systems for cloud services
  • Security in the Cloud Environment
Cloud offerings
  • Concepts and implementations for IaaS, PaaS du SaaS and their evaluation
Literature:will be stated in the lecture
Lecture style / Teaching aids:Seminaristic Lecture, Internship in Groups
Responsibility:Michael von Rüden
Released:SS 2015
Professional competencies:
  • formal, algorithmic, mathematical competencies: low
  • analytical, design and implementation competencies: high
  • technological competencies: high
  • capability for scientific work: medium
Interdisciplinary competencies:
  • interdisciplinary expertise: basic technical and natural scientific competence
  • social and self-competencies: analytical competence, judging competence

[Fachbereich Informatik] [Hochschule Darmstadt]
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