Module


General information
Advanced Cloud Computing
Advanced Cloud Computing
ACC
AdvCloudComp-01-MA-M
Prof. Dr. Ehlers, Jens (jens.ehlers@haw-kiel.de)
Prof. Prieß, Malte (malte.priess@haw-kiel.de)
Prof. Dr. Ehlers, Jens (jens.ehlers@haw-kiel.de)
Prof. Prieß, Malte (malte.priess@haw-kiel.de)
Sommersemester 2026
1 Semester
In der Regel im Sommersemester
Englisch
Curricular relevance (according to examination regulations)
Study Subject Study Specialization Study Focus Module type Semester
M.Sc. - MCS - Computer Science (PO 2023, V1) Pflichtmodul
M.Sc. - MIE - Information Engineering (PO 2022, V3) Wahlmodul

Qualification outcome
Areas of Competence: Knowledge and Understanding; Use, application and generation of knowledge; Communication and cooperation; Scientific self-understanding / professionalism.
Students know the fundamentals of cloud computing, virtualization, containers and cluster management. They know modern cloud platforms, cloud-native architectures and common cloud security issues.
Students can employ cloud platforms, cloud-native and containerization technologies for real-world problems.
Students have experience in organizing cloud computing projects, they can solve project tasks and present their results.
Students are able to perform professional work in the field of cloud computing and to assess challenges in cloud environments. Furthermore, they can understand and select relevant scientific literature concerning the field of cloud computing.
Content information
* Fundamentals of cloud computing
* Virtualization, containers and cluster management (e.g. Docker and Kubernetes)
* Cloud-native applications, microservices und serverless architectures
* Cloud providers (e.g. Google Cloud Platform, Microsoft Azure, Amazon Web Services)
* Monitoring of cloud services
- Nane Kratzke: Cloud-native Computing – Software Engineering von Diensten und Applikationen für die Cloud; Hanser
- Douglas Comer: The Cloud Computing Book – The Future of Computing Explained; CRC Press
- Sam Newman: Building Microservices – Designing Fine-Grained Systems; O’Reilly
- Brendan Burns et al.: Kubernetes – Up and Running; O'Reilly
Teaching formats of the courses
Teaching format SWS
Lehrvortrag 2
Labor 2
Workload
4 SWS
5,0 Credits
48 Hours
102 Hours
Module Examination
Method of Examination Duration Weighting wird angerechnet gem. § 11 Satz 2 PVO Graded Remark
Projektbezogene Arbeiten 100 % The students work on a current cloud technology topic, write a project report and present their work.
Miscellaneous
- Knowledge about version control with Git
- Familiar with command-line interfaces
- Efficient use of at least one programming language