Course detail

Theoretical Informatics

FEKT-BPC-TINAcad. year: 2023/2024

Object oriented design. Abstract datat types, theoretical models, directed and undirected graphs, graph representation methods. Deterministic and nondeterministic automata. Data structures and objects. Spanning tree, shortest paths in graphs, Parallel and sequential algorithms. Distributed algorithms. Optimization, genetic algorithms.

Language of instruction

Czech

Number of ECTS credits

7

Mode of study

Not applicable.

Entry knowledge

The fundamentals of programming and communication technology are required.

Rules for evaluation and completion of the course

Students are evaluated according to their activities in laboratories and by the final exam. The concrete distribution is specified in an yearly published supervisor's notice.
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.

Aims

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

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Aktuální studijní materiály jsou k dispozici v elearningu na adrese / Study materials are available at : https://www.vutbr.cz/elearning/ (CS)
Leuwen, J., Watanabe, O., Hagiya, M.: Exploring New Frontiers of Theoretical Informatics. Springer, 2000. (EN)
Goodrich, T.M., Tamassia, R.: Data Structures and Algorithms in Java. John Wiley & Sons, 2000. (EN)

Recommended reading

Battista, G., Tollis, I.: Graph Drawing: Algorithms for the Visualization of Graphs. Prentice Hall, 1998. (EN)
James Edward Keogh, Ken Davidson, Datové struktury bez předchozích znalostí, Computer Press, 2006 - Počet stran: 223 (CS)

eLearning

Classification of course in study plans

  • Programme BPC-IBE Bachelor's, 2. year of study, summer semester, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Exercise in computer lab

39 hours, compulsory

Teacher / Lecturer

Project

13 hours, compulsory

Teacher / Lecturer

eLearning