CLOUD COMPUTING

Course Description

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CLOUD COMPUTING

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 provide students with a good understanding of cloud computing and a systematic knowledge of the fundamental technologies, architecture, and security
2. 02 articulate the main concepts, key technologies, strengths, and limitations of cloud computing and the possible applications for state-of-the-art cloud computing
3. 03 identify the architecture and infrastructure of cloud computing, including SaaS, PaaS, IaaS, public cloud, private cloud, hybrid cloud, etc.
4. 04 xplain the core issues of cloud computing such as security, privacy, and interoperability

Course Syllabus

Reference Books & Course Materials

1. 01 1. Lisdorf, A. (2021). Cloud Computing Basics (1st ed.). Copenhagen: Apress, Berkeley, CA.
2. 02 2. Marinescu, D. (2018). Cloud Computing Theory and Practice (2nd ed.). Cambridge: Elsevier.
3. 03 3. Sosinsky, Barrie. Cloud computing bible. Vol. 762. John Wiley & Sons, 2010.
4. 04 4. Jamsa, Kris. Cloud computing. Jones & Bartlett Publishers, 2012.

Learning Outcomes

1. L01 provide students with a good understanding of cloud computing and a systematic knowledge of the fundamental technologies, architecture, and security
2. L02 articulate the main concepts, key technologies, strengths, and limitations of cloud computing and the possible applications for state-of-the-art cloud computing
3. L03 identify the architecture and infrastructure of cloud computing, including SaaS, PaaS, IaaS, public cloud, private cloud, hybrid cloud, etc.
4. L04 xplain the core issues of cloud computing such as security, privacy, and interoperability

Program Outcomes

1. Should be able to write effective reports, understand written reports, and prepare design and production reports.
2. Should have the ability to make effective presentations.
3. Should have the ability to give and have clear and understandable instructions.
4. Should gain consciousness (awareness) about the necessity of lifelong learning.
5. Should have the ability to access information.
6. Should have the ability to follow developments in science and technology and constantly renew himself/herself.
7. Should gain the awareness of professional and ethical responsibility and should act in accordance with ethical principles.
8. Should gain knowledge about the standards used in engineering applications.
9. Should gain knowledge about project management, risk management, and change management practices in business life.
10. Should gain awareness about entrepreneurship, and innovation.
11. Should gain knowledge about development in sustainability.
12. Should gain knowledge about the effects of engineering practices on health, environment, and security at universal and social dimensions and the problems of the age reflected in the field of engineering.
13. Awareness should be gained about the legal consequences of engineering solutions.
14. Should have sufficient knowledge in mathematics, science, and subjects specific to the relevant engineering discipline.
15. Should have the ability to use theoretical and applied knowledge in mathematics, science, and related engineering disciplines in complex engineering problems.
16. Should have the ability to detect, define, formulate, and solve complex engineering problems.
17. Should have the ability to select and apply appropriate analysis and modeling methods to solve complex engineering problems.
18. Should have the ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions.
19. Should have the ability to apply modern design methods.
20. Should have the ability to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications.
21. Should have the ability to use information technologies effectively.
22. Should have the ability to design experiments, for the study of complex problems or discipline-specific research topics.
23. Should have the ability to conduct experiments, collect data, analyze and interpret results for the study of complex problems or discipline-specific research topics.
24. Should have the ability to work in intradisciplinary teams.
25. Should have the ability to work in interdisciplinary teams.
26. Should have the skills to work individually.
27. Should have the ability to communicate effectively verbally and in writing.
28. Should have the knowledge of at least one foreign language.

Po-Lo Matrix