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
EP2400 Network Algorithms 7.5 credits
This course has been discontinued.
Last planned examination: Autumn 2021
Decision to discontinue this course:
No information insertedInformation per course offering
Course offerings are missing for current or upcoming semesters.
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus EP2400 (Autumn 2008–)Content and learning outcomes
Course contents
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
Equipment
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
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
Opportunity to raise an approved grade via renewed examination
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
Offered by
Main field of study
Education cycle
Add-on studies
Contact
Supplementary information
Replaced with EP2420 Network Analytics