Syllabus for Applied Cloud Computing

Datormoln med tillämpningar

  • 10 credits
  • Course code: 1TD265
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Computer Science A1N, Computational Science A1N

    Explanation of codes

    The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:

    First cycle

    • G1N: has only upper-secondary level entry requirements
    • G1F: has less than 60 credits in first-cycle course/s as entry requirements
    • G1E: contains specially designed degree project for Higher Education Diploma
    • G2F: has at least 60 credits in first-cycle course/s as entry requirements
    • G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
    • GXX: in-depth level of the course cannot be classified

    Second cycle

    • A1N: has only first-cycle course/s as entry requirements
    • A1F: has second-cycle course/s as entry requirements
    • A1E: contains degree project for Master of Arts/Master of Science (60 credits)
    • A2E: contains degree project for Master of Arts/Master of Science (120 credits)
    • AXX: in-depth level of the course cannot be classified

  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2015-03-12
  • Established by:
  • Revised: 2020-10-12
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: Autumn 2021
  • Entry requirements:

    120 credits including Scientific Computing I. Computer Programming II or Imperative and Object-oriented Programming Methodology (programming in Java or Python). Also recommended are courses in parallel computing/programming, distributed systems and web applications. Proficiency in English equivalent to the Swedish upper secondary course English 6.

  • Responsible department: Department of Information Technology

Learning outcomes

On completion of the course, the student should be able to:

  • use public and private cloud solutions for computational science and engineering applications;
  • discuss key concepts of cloud computing services, such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS);
  • asses the suitability of cloud computing infrastructures for different scientific applications;
  • implement software for cloud-based distributed computing using the technology presented in the course;
  • critically analyse and present solutions and implementations in writing and orally.

Content

An application oriented introduction to cloud computing. Basics of Service Oriented Architectures (SOA). Basic concepts of cloud computing such as virtualisation and the service layers IaaS, PaaS and SaaS, dynamic provisioning, elasticity. Practical use of available public and private cloud stacks. Introduction to cloud security. Task based programming in cloud environments, distributed task queues such as Celery. Message brokers such as RabbitMQ.

Instruction

Lectures and tutorials, guest lectures, laboratory work. Participants work in groups as well as on individual basis.

Assessment

Written assignments with oral presentation. Written and oral presentation of a software project. Active participation in seminars. Written and oral discussion of assignments and research papers.

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.

Syllabus Revisions

Reading list

The reading list is missing. For further information, please contact the responsible department.

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