Advanced Topics in Distributed Systems

2019/2020

Content, progress and pedagogy of the module

Learning objectives

Knowledge

The student will gain knowledge of advanced theories and methods in distributed systems:

  • advanced infrastructures and applications for example. grid, cloud, peer-to-peer, or parallel / multi-core systems
  • System and Network software for embedded systems
  • examples of distributed embedded systems, such as ad-hoc sensor networks, home automation
  • Distributed algorithms such as algorithms for mutual exclusion, selection, consensus, replication and fault tolerance
  • paradigms of programming
  • techniques for analysis, such as monitoring, testing, verification, and benchmarking

Skills

  • able to assess and explain precisely how and to what extent the results presented can be used using the appropriate subject terminology and notation,
  • use appropriate writing skills in these contexts

Competences

  • be able to apply concepts and techniques from distributed systems, and to design and analyze distributed and embedded systems.

Type of instruction

The teaching is organized according to the general teaching methods for the education, cf. § 17

Extent and expected workload

It is expected that the student uses 30 hours per ECTS, which for this activity means 150 hours

Exam

Exams

Name of examAdvanced Topics in Distributed Systems
Type of exam
Written or oral exam
ECTS5
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentAre stated in the Joint Programme Regulations

Additional information

Contact: The Study board for Computer Science at cs-sn@cs.aau.dk or 9940 8854

Facts about the module

Danish titleAvancerede emner inden for distribuerede systemer
Module codeDSNDATFK103
Module typeCourse
Duration1 semester
SemesterAutumn
ECTS5
Language of instructionDanish and English
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Study BoardStudy Board of Computer Science
DepartmentDepartment of Computer Science
FacultyTechnical Faculty of IT and Design