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Cloud computing - course description

General information
Course name Cloud computing
Course ID 11.3-WE-BizElP-PrzetwChmurach-Er
Faculty Faculty of Computer Science, Electrical Engineering and Automatics
Field of study E-business
Education profile practical
Level of studies First-cycle Erasmus programme
Beginning semester winter term 2022/2023
Course information
Semester 5
ECTS credits to win 3
Course type obligatory
Teaching language english
Author of syllabus
  • dr inż. Anna Pławiak-Mowna, prof. UZ
Classes forms
The class form Hours per semester (full-time) Hours per week (full-time) Hours per semester (part-time) Hours per week (part-time) Form of assignment
Lecture 15 1 - - Credit with grade
Laboratory 30 2 - - Credit with grade

Aim of the course

Raising awareness for the benefits of using cloud computing in electronic business. Familiarize students with the selected cloud services available with Google Cloud Platform, Microsoft Azure Cloud Platform, and other vendor and cloud service providers.

Prerequisites

None.

Scope

Introduction to cloud computing. Review of commercial services of cloud computing.
Cloud computing principles and service models: Infrastructure as a Service, Platform as a Service, Software as a Service, Service, Software + Services and Integration Platform as a Service.

Criteria for making decisions when ordering services for business needs. Selecting the appropriate cloud services and cloud providers according to the cloud users. The commercial applications and services of Microsoft, Google, Amazon, Dropbox and Box. The major vendor and service providers that offer cloud platforms for development, management, and deployment of applications to commercial customers.

Teaching methods

Conventional lectures
Laboratory: practical classes, laboratory classes

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

The following guidelines will be used to establish the final grade for the course:  the passing condition is to obtain positive marks from all exercises and tests conducted during the semester.

Calculation of the final grade: lecture 50% + laboratory 50%

Grades will be administered using the standard 90% = 5, 80% = 4.5, 70% = 4, 60% = 3.5, 50%= 3.
Specifically, 100 – 90 = 5, 89 - 80 = 4.5, 79 - 70 = 4, 69 - 60 = 3.5, and 59 - 50 = 3.

Recommended reading

  1. Banijamali A., Pakanen OP., Kuvaja P., Oivo M.: Software architectures of the convergence of cloud computing and the Internet of Things: A systematic literature review, Information and Software Technology, 122, 2020, doi.org/10.1016/j.infsof.2020.106271.
  2. Dimitri N.: Pricing cloud IaaS computing services. Journal of Cloud Computing (2192-113X). 2020;9(1):1.
  3. Global Cloud Applications Industry (2020 to 2025) - Rising Number of Startups and SMEs in Economically Developing Countries Presents Opportunities - ResearchAndMarkets.com
  4. Rehman, T. B. Cloud Computing Basics. Mercury Learning & Information, 2018.

 

Further reading

  1. Amazon Web Services (AWS) documentation (Accessed: 21 April 2022), https://docs.aws.amazon.com/
  2. Box (Accessed: 21 April 2022), https://box.com/
  3. Collier M., Shahan R.: Microsoft Azure Essentials: Fundamentals of Azure, FUndamentals of Azure Second Edition, Microsoft Press, 2016.
  4. Dropbox  (Accessed: 21 April 2022), https://dropbox.com/
  5. Google Cloud documentation (Accessed: 21 April 2022), https://cloud.google.com/docs
  6. IBM Cloud (dostęp 21/04/2022), https://www.ibm.com/pl-pl/cloud
  7. Kurniawan A., Lau W.: Practical Azure Functions : A Guide to Web, Mobile, and IoT Applications. Vol. 1st ed. Berkeley, CA: Apress, 2019.
  8. Mogull R., Arlen J., Gilbert F., Lane A., Mo rtman D., Peterson G., Rothman M., Security Guidance for Critical Areas of Focus in Cloud Computing v4.0 , Cloud Security Alliance, https://cloudsecurityalliance.org/download/security-guidance-v4/, 2017
  9. Microsoft Azure documentation (Accessed: 21 April 2022), https://azure.microsoft.com
  10. PR Newswire: Mindtree Recognized as an Expert Managed Service Provider for Microsoft Azure. PR Newswire US, 10 Sept. 2020.

Notes

None.


Modified by dr inż. Anna Pławiak-Mowna, prof. UZ (last modification: 21-04-2022 14:12)