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Lecturer(s)
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Course content
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1. Introduction to cloud computing 2. Cloud computing platforms 3. Categorization of different types of cloud services 4. Parallel programming in the cloud 5. Distributed storage systems 6. Virtualization 7. Cloud security 8. Deploying software solutions and web applications to the cloud 9. Cloud platforms in industry (GCP, Azure, AWS) 10. Cloud platforms in industry (GCP, Azure, AWS) 11. Cloud platforms in industry (GCP, Azure, AWS) 12. Cloud platforms in industry (GCP, Azure, AWS) 13. Cloud platforms in industry (GCP, Azure, AWS)
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Demonstration, Skills training
- Term paper
- 20 hours per semester
- Contact teaching
- 40 hours per semester
- Home preparation for classes
- 50 hours per semester
- Preparation for an exam
- 10 hours per semester
- Home preparation for classes
- 50 hours per semester
- Contact teaching
- 40 hours per semester
- Preparation for an exam
- 10 hours per semester
- Term paper
- 20 hours per semester
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Learning outcomes
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The aim of the course is to familiarize students with cloud technologies and tools. Students will learn about cloud platforms, cloud service distribution models, aspects of cloud security, and available commercial cloud platforms.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Oral examination, Written examination, Home assignment evaluation
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Recommended literature
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Blacharski Dan, Cary Landis. Cloud computing made easy. Lexington: KY, 2010. ISBN 9780557374953.
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Hurwitz Judith S., Kirsch Kirsch. Cloud Computing For Dummies, For Dummies. 2020. ISBN 978-1119546658.
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Lacko Ľuboslav. Osobní cloud pro domácí podnikání a malé firmy. Brno: Computer Press, 2012. ISBN 9788025137444.
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Ruparelia N. B. Cloud Computing (The MIT Press Essential Knowledge series). Massachusets: The MIT Press, 2016. ISBN 978-02-625-2909-9.
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Velte Anthony T., Velte Toby J., Elsenpeter Robert C. Cloud Computing: praktický průvodce. Brno: Computer Press, 2011. ISBN 9788025133330.
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Zeng D., Gu L., Guo S. Cloud computing for Big Data. Basel: Springer International Publishing, 2015. ISBN 978-3-319-24718-2.
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