University: Technical University of Košice
Faculty: Faculty of Electrical Engineering and Informatics
Department: Department of Computers and Informatics
Course Number: 26000648 Course Name: Cloud Systems
Type, scope and method of learning activities:
Course Type: Lecture, Laboratory exercise, Project work
Recommended scope of the course content (in hours):
Full-time study (hours per week): 2,1,1
Part-time study (hours per semester): 26,13,13
Study Method: Attendance
Number of credits: 6
Recommended semester of study: ST
Recommended semester Study programme Study grade Study Method
1.rok ST Cybersecurity (KB_Ing_D_sk)
Informatics (INF_Ing_D_sk)
Informatics (INF_Ing_D_en)
Level of study:
Prerequisites: 2608941 - Distributed Systems
Course completion requirements:
Assessment and completion of the course: Credit test and examination
Continuous assessment: Student passes the continuous assessment and receives credits when he or she meets the requirement to obtain at least 21% out of 40%.
problem set
Final assessment: Student passes the final assessment and passes the examination when he or she meets the requirement to obtain at least 31% out of 60%.
Overall assessment: Overall assessment is the sum of the assessments obtained by students in the assessment period. The overall result is determined in accordance with the internal regulations of the Technical University in Košice. (Study Regulations, the internal regulation principles of doctoral studies)
Learning outcomes:
Upon successful completion of this course, students will understand concept of cloud environment models IaaS and PaaS, and especially methods of software systems development suitable for its deployed to cloud platform. At the same time students will acquire practical skills in design, implementation and monitoring such systems, as well as assessing the effectiveness of moving the software system to the cloud.
Brief course content:
1. Enterprise computing and architectures, the internet as a platform, Software as a service and cloud computing.
2. Fundamentals of cloud computing
3. Cloud environments and processing
4. MapReduce
5. Cloud storage and communication
6. Cloud architectures and application components
7. Microservices-based architectures
8. Multi-tenancy and cloud integrations
9. Composite cloud applications
10. Management of cloud applications
11. Cloud applications use-cases
12. Cloud applications for IoT
Recommended Reference Sources:
1. FEHLING, C. - LEYMANN, F. - RETTER, R. - SCHUPECK, W. - ARBITER, P.: Cloud Computing Patterns : Fundamentals to Design, Build, and Manage Cloud Applications.Springer-Verlag Wien, 2014.
2. Cloud Computing Patterns [online]. Available on internet: .
3. HOMER, A. - SHARP, J. - BRADER, L. - NARUMOTO, M. - SWANSON, T.: Cloud Design Patterns: Prescriptive Architecture Guidance for Cloud Applications. Microsoft Inc., 2014.
4. SHROFF, G.: Enterprise Cloud Computing, Technology, Architecture, Applications. Cambridge University Press, 2010.
5. BIRMAN, K. P.: Guide to Reliable Distributed Systems, Vuilding High-Assurance Applications and Cloud-Hosted Services. Springer-Verlag London, 2012.
6. DYKSTRA, T. - ANDERSON, R. - WASSON, M.: Building Real-World Cloud Apps with Windows Azure. Microsoft Corporation, 2014.
Recommended optional program components:
Languages required for the course completion:
Course assessment:
Total number of students assessed: 193
  A B C D E FX  
  10% 16% 20% 33% 17% 4%  
doc. Ing. Martin Tomášek, PhD.
Last modified: 01.09.2022
Approved by: person(s) responsible for the study program