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EP2400 Network Algorithms 7.5 credits

Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus EP2400 (Autumn 2008–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Example of topics, which can vary from year-to-year: ·         algorithms for data aggregation in networks and distributed systems·         algorithms for distributed search·         algorithms for distributed configurations·         algorithms for distributed trust and reputation schemes

Intended learning outcomes

The main goal is to expose studens to algorithms that are essential for new technologies, in form of projects with an experimental flavor.

Literature and preparations

Specific prerequisites

For single course students: 120 credits and documented proficiency in English B or equivalent

Recommended prerequisites

No information inserted

Equipment

No information inserted

Literature

All literature will be made available through the course site.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • PRO1 - Project, 7.5 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

The basis for grading will be the project reports for the two projects. Both projects will count in equal amounts towards the course grade

Other requirements for final grade

The student must complete and pass both projects.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

This course does not belong to any Main field of study.

Education cycle

Second cycle

Add-on studies

No information inserted

Contact

Rolf Stadler

Supplementary information

Replaced with EP2420 Network Analytics