English

Not applicable.

Students have skills of design and implementation of various forms of abstract data types and its application to solve specific problems. To solve them the stduents can use linear, tree and graph data structures, furthemore they can search in the data structures and used genetic algorithms for search in a search space and optimization.

The subject knowledge on the Bachelor degree level is required.

Not applicable.

Techning methods include lectures, computer laboratories and practical laboratories. Course is taking advantage of e-learning (Moodle) system. Students have to write a single project/assignment during the course.

final examination

Lectures:
1. Information representation, objective oriented design.
2. Information representation, introduction to data structures.
3. Complexity, computability and automata theory.
4. Information representation, linear data structures and sorting.
5. Information representation - tree data structures.
6. Information representation - graph theory.
7. Information acccess - spanning tree.
8. Information acccess - graph search.
9. Information acccess - data mining.
10. Information acccess - decision trees.
11. Information acccess - genetic algorithms.
12. Information acccess - genetic programming.
13. Multithreaded computations, parallelization.

Computer excercises:
1. Introduction to OON.
2. Information representation I.
3. Information representation II.
4. Linear data structures.
5. Binary search trees.
6. Graphs theory.
7. Search in Graphs.
8. Midexam.
9. Search in Graphs - Dijkstra algorithm.
10. Data mining - decision trees.
11. Optimization - genetic algorithms.

Not applicable.

To provide theoretical knowledge of information gathering, processing and sharing in communication systems, and of their structure, behaviour and mutual interaction.

The content and forms of instruction in the evaluated course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.

Not applicable.

Not applicable.

BATTISTA, G., TOLLIS, I. Graph Drawing: Algorithms for the Visualization of Graphs. Prentice Hall, 1998. (EN)
GOODRICH, T.M., TAMASSIA, R. Data Structures and Algorithms in Java. 2000. (EN)
LEUWEN, J., WATANABE, O., HAGIYA, M. Exploring New Frontiers of Theoretical Informatics. Springer, 2000. (EN)

Not applicable.