Kursussøgning, efter- og videreuddannelse – Københavns Universitet

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Kursussøgning, efter- og videreuddannelse

Advanced Algorithms and Data Structures (AADS)

Practical information
Study year 2016/2017
Block 1
Programme level Full Degree Master
Course responsible
  • Mikkel Thorup (7-7f867a8184878252767b407d8740767d)
  • Department of Computer Science
Course number: NDAA09023U

Course content

Algorithms is about finding scalable solutions to computational problems, and the reliance is only increasing as we enter the world of Big Data. We want algorithms that solve problems efficiently relative to the input size. Exponential time is hopeless. We generally want polynomial time, and for large problems we need linear time. Sometimes we employ data structures that represent the input so that queries about it can be answered very efficiently. In this mandatory course, we will study the list of algorithmic topics below. Some of these topics are covered in more depth in more specialized elective courses.

Learning outcome

Knowledge of:

  • Graph algorithms such as max flow
  • NP-completeness
  • Approximation algorithms
  • Randomized algorithms
  • Computational geometry
  • Linear programming and optimization


Skills to:

  • Analyze algorithms with respect to correctness and efficiency.
  • Explain and use basic randomized algorithms.
  • Recognize NP-hard problems and address them, e.g., using approximation algorithms.
  • Explain and use algorithms for different abstract domains such as graphs and geometry.
  • Formulate real-life problems as algorithmic problems and solve them.


Competences to:

  • Analyze a computational problem in order to find an appropriate algorithmic approach to solve it.

Recommended prerequisites

It is assumed that the students are familiar with basic algorithms (sorting, selection, minimum spanning trees, shortest paths) and data structures (lists, stacks, binary trees, search trees, heaps).

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MSc Programme in Computer Science


Study Board of Mathematics and Computer Science

Course type

Single subject courses (day)


1 block


---- SKEMA LINK ----

Teaching and learning methods

A mix of lectures and exercises.


No limit




See Absalon when the course is set up.


Category Hours
Lectures 36
Theory exercises 84
Preparation 84
Exam 2
English 206


Type of assessment

Oral examination, 30 minutes
Oral exam with preparation (30 minutes) in course curriculum.


All aids allowed

Marking scale

7-point grading scale

Criteria for exam assessment

See learning outcome.

Censorship form

External censorship


If student is not qualified then qualification can be achieved by hand-in and approval of equivalent exercises.

Re-exam same as ordinary exam.

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