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Cloud computing, 7.5 Credits

Swedish name: Datormoln

This syllabus is valid: 2023-06-26 and until further notice

Course code: 5DV192

Credit points: 7.5

Education level: Second cycle

Main Field of Study and progress level: Computing Science: Second cycle, has second-cycle course/s as entry requirements

Grading scale: TH teknisk betygsskala

Responsible department: Department of Computing Science

Established by: Faculty Board of Science and Technology, 2018-09-24

Revised by: Faculty Board of Science and Technology, 2023-03-14


The aim of the course is to prepare the students for the rapidly changing field of cloud computing, preparing them not only for the job they will have after graduation, but also the job they will have in the future. As a result, besides teaching cloud computing, the course will also teach students how to learn and stay up-to-date with theory and technology in the area of cloud computing.

The course consists of two parts:
Part 1 seminars, 4.5 credits
This part covers theoretical models and definitions as well as practical aspects of cloud computing, including the fundamentals of data centers, hardware and OS virtualization, and how to design and build applications that are scalable, robust and elastic.

Part 2, practice, 3 credits
This part depeens the knowledge acquired in the seminar part by applying it in relevant real-life situations. This part consists of a single, mandatory assignment.

Expected learning outcomes

Knowledge and understanding
After completing the course, the student should be able to:

  • (FSR 1) define cloud computing and show an understanding of its essential characteristics,
  • (FSR 2) explain how to design, build and operate a warehouse-scale computer (datacenter), and explain their importance to fuel applications' computing and storage needs,
  • (FSR 3) explain the principles of hardware and operating system virtualization,
  • (FSR 4) understand and explain the basic building blocks of cloud operating systems.

Competence and skills
After completing the course, the student should be able to:

  • (FSR 5) design and build cloud-native applications focusing on robustness, scalability and elasticity,
  • (FSR 6) evaluate the suitability of each cloud service model in a given situation and give a suggestion of what model to use.

Judgement and approach
After completing the course, the student should be able to:

  • (FSR 7) identify and acquire knowledge that is required to complete a task within the area of cloud computing,
  • (FSR 8) create material to communicate up-to-date cloud technologies to non-cloud-expert computing scientists.

Required Knowledge

At least 90 ECTS, including 60 ECTS Computing Science, or 120 ECTS within a study programme. At least 7.5 ECTS data structures and algorithms; 7.5 ECTS object-oriented programming; 7.5 ECTS application development; 7.5 ECTS systems programming; 7.5 ECTS operating systems; 7.5 ECTS data communication and computer networks; and 7.5 ECTS distributed systems. Proficiency in English equivalent to the level required for basic eligibility for higher studies.

Form of instruction

The course consists of lectures and assignments. Initial lectures, where e.g. an introduction to the working method is given, as well as the final reviewing lecture are given by the teacher(s). Other lectures are prepared by the students themselves -- one lecture for each group of students -- based on reading material provided by the teacher(s) and materials chosen by the students. Another group of students will provide feedback on the quality of these lectures. A mandatory assignment complement the theoretical knowledge with practical skills.

Examination modes

Part 1, seminars (FSR 1-8) is assessed by a number of seminars and oral presentations and is graded with Fail (U), Pass (3) or Pass with Mark (4), or Pass with Distinction (5).

Part 2, practice (FSR 1-8) is graded with Fail (U) or Pass (G). The practice part consists of one assignment that includes both a programming task and writing a report. The assignment is assessed via a written report.

On the course as a whole, the grades given are Fail (U), Pass (3) or Pass with Mark (4), or Pass with Distinction (5). The grade on the course is determined by the grade on Part 1.

Adapted examination
The examiner can decide to deviate from the specified forms of examination. Individual adaptation of the examination shall be considered based on the needs of the student. The examination is adapted within the constraints of the expected learning outcomes. A student that needs adapted examination shall no later than 10 days before the examination request adaptation from the Department of Computing Science. The examiner makes a decision of adapted examination and the student is notified.

Other regulations

This course may not be used towards a degree, in whole or in part, togehter with another course of similar content. If in doubt, consult the student counselors at the Department of Computing Science and / or the program director of your program.

In particular, this course can not, in whole or in part, be used in a degree together with 5DV131 Cloud computing.

If the syllabus has expired or the course has been discontinued, a student who at some point registered for the course is guaranteed at least three examinations (including the regular examination) according to this syllabus for a maximum period of two years from the syllabus expiring or the course being discontinued.


Valid from: 2023 week 26

Institutionen för datavetenskap :
Reading instructions: Scientific articles and manuals provided by the department.