Cloud Computing Technologies (DAT515)
The Cloud computing model enables the dynamic provisioning of ubiquitous, on-demand computing resources, storage space, software applications, and services over the Internet with minimal interaction with the service provider.
Course description for study year 2025-2026. Please note that changes may occur.
Course code
DAT515
Version
1
Credits (ECTS)
5
Semester tution start
Autumn
Number of semesters
1
Exam semester
Autumn
Language of instruction
English
Content
Learning outcome
Knowledge
- Characterize and compare typical service models like IaaS, PaaS, and SaaS.
- Understand elements of Cloud infrastructures.
- Understand and compare the most common commercial Cloud offerings.
- Compute abstractions, including virtual machines, containers, and serverless computing.
- Storage abstractions with varying consistency requirements.
- Resource management, including storage and container management.
- Ethical, environmental, and legal implications of Cloud technologies, e.g., United Nation's Sustainable Development Goals, GDPR, and MLAT/CLOUD Act.
Skills
- Be able to design a Cloud-based solution based on a given specification.
- Be able to deploy a Cloud-based solution optimized to available resources.
- Be capable of implementing applications that utilize cloud APIs on the application layer, e.g., GitHub, Discord, and the storage/compute layer.
- Be able to analyze the security risks of a specific Cloud-based deployment.
- Be capable of implementing secret management for Cloud applications using, e.g., Passkey, credentials, passwords, or tokens.
Required prerequisite knowledge
Recommended prerequisites
Exam
| Form of assessment | Weight | Duration | Marks | Aid |
|---|---|---|---|---|
| Report | 1/1 | Passed / Not Passed |
The grade is based on the submitted code and the project report.
Coursework requirements
Mandatory Work 1: Laboratory Assignments
Required programming and system administration tasks. To get approval, you need to submit your solutions to our system for automated evaluation. Approval also requires an in-lab presentation of your solutions after submission. All mandatory assignments must be completed to be eligible to submit the final report and pass the course.
Mandatory Work 2: Oral Presentation of Project
All group members must participate in the oral presentation.
Mandatory lab assignments must be completed at the specified times and in the assigned groups. Absence due to illness or other reasons must be communicated as soon as possible to the laboratory personnel. One cannot expect that provisions for completion of the lab assignments at other times are made unless prior arrangements with the laboratory personnel have been agreed upon.
Failure to complete or have the assignments approved on time will result in failing the course. If a student does not pass the mandatory assignments, the project report, or fails to attend the project presentation, they must redo all assignments and the written report the next time the course is offered.
Course teacher(s)
Course coordinator:
Hein MelingLaboratory Engineer:
Jayachander SurbiryalaHead of Department:
Tom RyenStudy Program Director:
Tomasz WiktorskiMethod of work
The course lectures will run in the first half of the semester. 4 hours of lectures and 4 hours of guided laboratory exercises per week. Laboratory exercises and project will require additional non-guided work effort. The total weekly workload, including self-study and development work, is expected to be 15 hours for the course's duration.
The work is carried out in groups of 2-4 students.