FI:PA200 Cloud Computing - Course Information
PA200 Cloud Computing
Faculty of InformaticsSpring 2023
- Extent and Intensity
- 2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
- Teacher(s)
- RNDr. David Gešvindr, Ph.D. (lecturer)
Joao Grade (lecturer) - Guaranteed by
- doc. Ing. RNDr. Barbora Bühnová, Ph.D.
Department of Computer Systems and Communications – Faculty of Informatics
Contact Person: RNDr. David Gešvindr, Ph.D.
Supplier department: Department of Computer Systems and Communications – Faculty of Informatics - Timetable
- Mon 13. 2. to Mon 15. 5. Mon 18:00–19:50 A319
- Prerequisites (in Czech)
- PA165 Java Enterprise Applications || PV179 System Development in C#/.NET || PV260 Software Quality
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 40 student(s).
Current registration and enrolment status: enrolled: 10/40, only registered: 0/40, only registered with preference (fields directly associated with the programme): 0/40 - fields of study / plans the course is directly associated with
- Image Processing and Analysis (programme FI, N-VIZ)
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (eng.) (programme FI, N-IN)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics and systems biology (programme FI, N-UIZD)
- Bioinformatics (programme FI, N-AP)
- Computer Games Development (programme FI, N-VIZ_A)
- Computer Graphics and Visualisation (programme FI, N-VIZ_A)
- Computer Networks and Communications (programme FI, N-PSKB_A)
- Cybersecurity Management (programme FI, N-RSSS_A)
- Discrete algorithms and models (programme FI, N-TEI)
- Formal analysis of computer systems (programme FI, N-TEI)
- Graphic design (programme FI, N-VIZ)
- Graphic Design (programme FI, N-VIZ_A)
- Hardware Systems (programme FI, N-PSKB_A)
- Hardware systems (programme FI, N-PSKB)
- Image Processing and Analysis (programme FI, N-VIZ_A)
- Information security (programme FI, N-PSKB)
- Information Systems (programme FI, N-IN)
- Information Security (programme FI, N-PSKB_A)
- Quantum and Other Nonclassical Computational Models (programme FI, N-TEI)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer graphics and visualisation (programme FI, N-VIZ)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Networks and Communications (programme FI, N-PSKB)
- Computer Systems (programme FI, N-IN)
- Principles of programming languages (programme FI, N-TEI)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Cybersecurity management (programme FI, N-RSSS)
- Services development management (programme FI, N-RSSS)
- Software Systems Development Management (programme FI, N-RSSS)
- Services Development Management (programme FI, N-RSSS_A)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Software Systems Development Management (programme FI, N-RSSS_A)
- Software Systems (programme FI, N-PSKB_A)
- Software systems (programme FI, N-PSKB)
- Machine learning and artificial intelligence (programme FI, N-UIZD)
- Theoretical Informatics (programme FI, N-IN)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Computer Games Development (programme FI, N-VIZ)
- Processing and analysis of large-scale data (programme FI, N-UIZD)
- Image Processing (programme FI, N-AP)
- Natural language processing (programme FI, N-UIZD)
- Course objectives
- The aim of the course is to introduce students to both theoretical and practical aspects of software architecture design of PaaS cloud applications and develop critical thinking that will allow them to estimate impacts of architectural decisions on the overall quality of the designed application early during the development lifecycle. Students will also gain experience with implementing cloud applications using existing cloud services offered by multiple public cloud providers (Microsoft Azure, Amazon Web Services) and automating testing, deployment, and monitoring of cloud applications.
- Learning outcomes
- At the end of the course, students will:
- understand different aspects of software quality relevant to the cloud (quality attributes related to performance, scalability, availability, and costs);
- be familiar with design patterns and software architectures (e.g., microservices, serverless) applicable for the design of PaaS cloud applications;
- be able to design and implement cloud applications that fulfill both functional and non-functional requirements;
- have practical experience with implementation and deployment of PaaS cloud application using various public cloud services - Syllabus
- 1. Overview of cloud computing and cloud service delivery models
- 2. Challenges of cloud application design and related quality concerns
- 3. Cloud design patterns
- 4. Microservices in the cloud
- 5. Serverless applications
- 6. Compute services
- 7. Storage services
- 8. Integration/communication services
- 9. Monitoring, benchmarking, and troubleshooting cloud applications
- 10. Building cloud CI/CD pipeline
- 11. Security and Identity Management in the cloud
- 12. Data Analytics and AI in the cloud
- 13. IoT solutions in the cloud
- Teaching methods
- Lectures with slides and discussion (presentations by professionals in the field), homework assignments, consultations about homework assignments
- Assessment methods
- Students will be assigned practical assignments within the lectures. The goal of the assignments will be to let the students gain experience with design, development and deployment of cloud applications.
Additionally, there will be a written test at the end, testing the knowledge gained by the students during the semester.
To pass the course, the students must reach at least 70 points out of 100 (50 for homework assignments, 35 for the final written test, 15 points for activity in lectures). - Language of instruction
- English
- Further Comments
- Study Materials
The course is taught annually.
- Enrolment Statistics (Spring 2023, recent)
- Permalink: https://is.muni.cz/course/fi/spring2023/PA200