Swedish name: Avancerade distribuerade system
This syllabus is valid: 2023-06-26 and until further notice
Syllabus for courses starting after 2023-06-26
Course code: 5DV205
Credit points: 7.5
Education level: Second cycle
Main Field of Study and progress level:
Computing Science: Second cycle, has second-cycle course/s as entry requirements
Grading scale: Pass with distinction, Pass with merit, Pass, Pass with distinction, Pass, Fail
Responsible department: Department of Computing Science
Established by: Faculty Board of Science and Technology, 2018-09-24
Revised by: Faculty Board of Science and Technology, 2023-03-07
The course studies the underlying principles and technologies that are used to realize large-scale distributed systems. The course will give an overview of the building blocks used to construct distrubuted systems (for example programmimg, security, and service models) and discuss the trade-offs that come into play when distributed systems are scaled to large scale. The course also gives an overview of the main paradigms of distributed systems and computing and studies current examples from the fields of Peer-to-peer, High-Performance, High Throughput, Grid och Cloud computing. Great emphasis is placed on the acquiring practical skills in distributed systems development.
Knowledge and understanding
After completing the course, the student should be able to:
Competence and skills
After completing the course, the student should be able to:
At least 90 ECTS, including 60 ECTS Computing Science. At least 7.5 ECTS data structures and algorithms; 7.5 ECTS object-oriented programming; 7.5 ECTS application development; 7.5 ECTS systems programming; 7.5 ECTS operating systems; 7.5 ECTS data communication and computer networks; and 7.5 ECTS distributed systems. Proficiency in English equivalent to the level required for basic eligibility for higher studies.
Instruction consists of lectures, assignments in smaller groups, and work in computer labs. In addition to scheduled activities, individual work with the material is also required.
The student is examined on the course in three different ways:
On the course as a whole, the grades given are Fail (U), Pass (3) or Pass with Mark (4), or Pass with Distinction (5). The final grade of the course is a summary assessment of the results on all parts of the examination.
Adapted examination
The examiner can decide to deviate from the specified forms of examination. Individual adaptation of the examination shall be considered based on the needs of the student. The examination is adapted within the constraints of the expected learning outcomes. A student that needs adapted examination shall no later than 10 days before the examination request adaptation from the Department of Computing Science. The examiner makes a decision of adapted examination and the student is notified.
In a degree, this course may not be included, in whole or in part, simultaneously with another course of similar content. If in doubt, consult the student counselors at the Department of Computer Science and / or program director of programs.
If the syllabus has expired or the course has been discontinued, a student who at some point registered for the course is guaranteed at least three examinations (including the regular examination) according to this syllabus for a maximum period of two years from the syllabus expiring or the course being discontinued.
Forskningsartiklar som tillhandahålls av institutionen
Inst för datavetenskap :
Reading instructions: Research papers provided by the department.