NDAK11006U Topics in Algorithms and Data Structures

Volume 2013/2014
Education
MSc Programme in Computer Science
Content
The purpose of this course is to give an overview of the state-of-the art research within the area of algorithms and data structures.

A set of topics will aim to reflect the state-of-the-art research and applications within the design and analysis of algorithms and data structures. Particular topics will change from year to year.
Important: See the course home page for information on the topics covered in a particular year.
Learning Outcome
knowledge: The student will after the course master several state-of-the-art algorithm techniques.
comptences: The students will after the course be more capable of reading and understand on own hand research articles.
skills: The students will after the course know several state-of-the-art algorithms.
See Absalon when the course is set up.
The course is a part of the Algorithms and Data Structures profile within the Copenhagen Master of Excellence in Computer Science. Students have to follow this profile. Other students should contact course responsible teacher(s).
The course consists of three phases:
1. Lecture phase: lectures and exercises, formation of project groups.
2. Seminar phase: student seminar presentation.
3. Project phase: project work.
  • Category
  • Hours
  • Colloquia
  • 12
  • Lectures
  • 9
  • Preparation
  • 165
  • Project work
  • 20
  • Total
  • 206
Credit
7,5 ECTS
Type of assessment
Written assignment
Written report based on group project, with individual oral presentation of the report (submission in Absalon), followed by individual examination, graded on Danish ECTS-compliant 7-steps scale with internal grading. Note that the examination covers the whole scope of the course (see specific topics on the course home page), with special emphasis on the subject of the written report the student has co-authored.
Marking scale
7-point grading scale
Censorship form
No external censorship
Re-exam
Resubmission of the written report. The rest of the reexamination follows the same format as the ordinary examination.
Criteria for exam assesment
See learning outcome.