Third-Cycle Courses

Faculty of Engineering | Lund University

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

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  • English
  • If sufficient demand
  • To learn to design och implement cloud services and understand and formulate relevant research challenges.
  • 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
  • Lectures
  • Exercises
  • Project
Examination Formats
  • Written assignments
  • Two homework assignments and a larger course project
  • Failed, pass
Admission Requirements
  • Basic knowledge on Linux and Python
Assumed Prior Knowledge
  • Basic knowledge on networking and programming
Selection Criteria
  • 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
  • FRT216F
Administrative Information
  • 2019-11-25
  • Professor Thomas Johansson

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