CLOUD COMPUTING

Course Description

This course aim at introducing the basic concepts of cloud computing. The course will start by explaining the difference between cloud computing and the traditional desktop computing. The course will cover topics such as the cloud service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Identity as a service. The deployment models of cloud computing such as Public, private, community and hybrid cloud will be explained. Security issues of cloud computing and service provider will also be covered. At the end of the course student will have in depth knowledge of organizations that provide cloud services and the underlying infrastructure

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. Demonstrate advanced knowledge of core concepts and theoretical frameworks in Management Information Systems, and apply them to develop innovative models that reflect current advancements in the field.
2. Analyze complex organizational problems and design integrated information systems solutions by applying advanced MIS knowledge and synthesizing multiple theoretical perspectives.
3. Develop and manage database systems and data-driven applications that ensure effective storage, retrieval, and use of organizational data in real-world contexts.
4. Utilize data analytics, business intelligence tools, and data visualization techniques to extract actionable insights and support strategic, data-driven decision-making.
5. Evaluate and apply emerging technologies such as AI, IoT, and Blockchain to drive digital transformation, enhance organizational performance, and formulate original research inquiries.
6. Conduct independent and collaborative research using appropriate methodologies, and communicate findings effectively through scholarly writing and presentations suited to diverse audiences.
7. dentify and address ethical, legal, and societal implications in the research, development, and use of information technologies, adhering to scientific and professional standards.
8. Collaborate effectively in multidisciplinary teams and demonstrate leadership in addressing complex technology-driven challenges.
9. Apply project management methodologies and tools to plan, execute, and monitor IT projects within organizational settings.
10. Develop and integrate information systems that align with organizational goals and strategies, supporting innovation and sustainable growth.
11. Perform comprehensive systems analysis and design, including requirements gathering, modeling, prototyping, and evaluating enterprise system architectures such as ERP, CRM, and SCM.
12. Assess and mitigate organizational information security risks by applying appropriate principles, technologies, and best practices in cybersecurity.

Po-Lo Matrix