Details for the Course Syllabus for Course FRT216F valid from Autumn 2019

General

Aim

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

Contents

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

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.

Types of Instruction

Examination Formats

Admission Requirements

Assumed Prior Knowledge

Selection Criteria

Literature

Literature:
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.

Further Information

Course code

Administrative Information

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