Course detail
Theoretical Informatics
FEKT-TTINAcad. year: 2018/2019
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.
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Number of ECTS credits
Mode of study
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Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
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 algorithms, II.
13. Multithreaded computations, parallelization
14. Final exam
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
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)
Recommended reading
Classification of course in study plans
Type of course unit
Exercise in computer lab
Teacher / Lecturer