Cloud Computing Technologies (DAT515)

The project is to implement a cloud application and document it according to the specified requirements. The documentation must include complete instructions to run the application, including the installation of dependencies, and exercise the execution of the cloud application with test scenarios. The installation process should be automated as much as possible. The documentation must also include a YouTube video showcasing the group’s project (maximum 10 minutes).


Course description for study year 2025-2026

See course description and exam/assesment information for this semester (2024-2025)
Facts

Course code

DAT515

Version

1

Credits (ECTS)

5

Semester tution start

Autumn

Number of semesters

1

Exam semester

Autumn

Language of instruction

English

Offered by
Time table

View course schedule

Content

This course introduces cloud computing service models, technology platforms, and applications. You will learn about the implementation and administration of Cloud computing systems. You will deploy, manage, and scale your applications using a Cloud infrastructure with virtual machines and containers, and serverless computing. Your applications will interact with the hosting infrastructure via APIs.

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

None

Recommended prerequisites

DAT230 Communication Technology I, DAT250 Information and Software Security, DAT320 Operating Systems and Systems Programming

Exam

Form of assessment Weight Duration Marks Aid
Report 1/1 Letter grades

The grade is based on the submitted code and the project report.The project is done in groups and all participants in the group get the same grade. All participants must contribute equally to the project’s execution and must document their contribution. The project’s grade is awarded based on the function and quality of the developed cloud application, including the code, tests, and the documentation. It is not possible to retake the project next semester. Students that wish to take the project part again, must do this the next year the course is given.

Coursework requirements

Mandatory Assignments, Presentation

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 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 Meling

Laboratory Engineer:

Jayachander Surbiryala

Head of Department:

Tom Ryen

Study Program Director:

Tomasz Wiktorski

Method 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.

Open for

Admission to Single Courses at the Faculty of Science and Technology
Data Science - Master of Science Degree Programme Computer Science - Master of Science Degree Programme
Exchange programme at Faculty of Science and Technology

Admission requirements

Must meet the admission requirements of one of the study programmes the course is open for.

Course assessment

The faculty decides whether early dialogue should be conducted in all or selected groups of courses offered by the faculty. The purpose is to gather feedback from students for making changes and adjustments to the course during the current semester. In addition, a digital evaluation, students’ course evaluation, must be conducted at least once every three years. Its purpose is to collect students` experiences with the course.

Literature

The syllabus can be found in Leganto