Course Syllabus for

Design and Implementation of Cloud Applications
Att bygga och designa molnapplikationer

FRT216F, 7.5 credits

Valid from: Autumn 2019
Decided by: Professor Thomas Johansson
Date of establishment: 2019-11-25

Division: Automatic Control
Course type: Third-cycle course
Teaching language: English

To learn to design och implement cloud services and understand and formulate relevant research challenges.

Knowledge and Understanding

For a passing grade the doctoral student must

Understanding of the fundamental principals of cloud computing.
Insight into the theoretical challenges of distributed computing in a cloud setting.

Competences and Skills

For a passing grade the doctoral student must

Manage Infrastructure-as-a-Service and design and implementation robots and scalable cloud applications.
Ability to design and implement data intensive cloud applications on standard platforms.

Judgement and Approach

For a passing grade the doctoral student must Show insight in the trade-offs in choice of tools, algorithms, and architecture.

The course will contain both practical sessions around common cloud frameworks and tools, as well as the theoretical underpinnings.

Kleppmann, M.: Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Oreilly & Associates Incorporated, 2017. ISBN 9781449373320.
Burns, B.: Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services. 2018. ISBN 9781491983645.
Hightower, K.: Kubernetes: Up and Running: Dive Into the Future of Infrastructure. O'Reilly Media, 2016. ISBN 9781491935675.

Types of instruction: Lectures, exercises, project

Examination format: Written assignments. Two homework assignments and a larger course project
Grading scale: Failed, pass
Examiner:

Admission requirements: Basic knowledge on Linux and Python
Assumed prior knowledge: Basic knowledge on networking and programming

Course coordinators:

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