Data Structures and Algorithms

Dit vak wordt in het Engels aangeboden. Omschrijvingen kunnen daardoor mogelijk alleen in het Engels worden weergegeven.

Doel vak

Upon successful completion of this course, the students are expected to
• be able to analyse algorithms' resource usage by using asymptotic
analysis and asymptotic notations,
• identify the algorithm design technique used by a given algorithm such
as divide-and-conquer, dynamic programming, greedy, etc.),
• use these algorithm design techniques to develop new algorithms for
simple computational problems,
• be aware of some common computational problems and some known
algorithms for these problems.

Inhoud vak

Algorithms lie at the heart of computing. An algorithm is a well-defined
computational procedure that takes a value (or a set of values) as input
and produces a value (or set of values) as output, as a solution to a
computational problem. Algorithms usually rely on a set of data
structures that allow them to manipulate the data efficiently. No matter
which programming language you program in, learning about data
structures and algorithms is essential to build scalable systems.
This course is an introduction to data structures, algorithmic design
and complexity. We will start by covering the basics of data structures,
including linear data structures, tree-like data structures, graph-like
data structures and hash tables. We will continue with an introduction
to algorithms, covering sorting algorithms, the divide-and-conquer
paradigm, greedy algorithms, and dynamic programming. We will analyze
the efficiency of such algorithms, using big-Oh notation and worst-case
time complexity.


The course will have the following structure, and attendance is
- 2 lectures (2 x 1hr 45mins)
- 1 tutorial (1hr 45mins)
- 1 computer practical (1hr 45mins)


4 assignments (40%) and a written exam (60%).


Textbook (mandatory):
Cormen, T. H., Leiserson, C. E., Rivest, R. L., and Stein, C. (2009).
Introduction to Algorithms (3rd edition; ISBN 978-0-262-03384-8). MIT
Press 2009.

Algemene informatie

Vakcode E_EOR2_DSA
Studiepunten 6 EC
Periode P1
Vakniveau 200
Onderwijstaal Engels
Faculteit School of Business and Economics
Vakcoördinator dr. A. Okbay
Examinator dr. A. Okbay
Docenten dr. A. Okbay

Praktische informatie

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Werkvormen Hoorcollege, Werkgroep

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