Algorithms (in English)

• 39 hrs lectures
• 13 hrs projects

• 51 pts final exam (written part)
• 14 pts mid-term test (written part)
• 35 pts projects

To acquaint with the principles of methods of proving of correctness of programs and with basic concepts of construction of proved programms. To learn the fundamentals of algorithm coplexity. To learn the principles of dynamic memory allocation. To acquaint with basic abstract data types and to command its implementation and exploitation. To learn and command recursive and non recursive notation of basic algorithms. To overrule the implementation and analysis of most used algorithms for searching and sorting.

• Student will acquaint with the methods of proving of correctness of programs and with construction of proved programms and learn their significance. 
• Student will learn the fundamentals of algorithm coplexity and their intention. 
• He/she acquaints with basic abstract data types and to commands its implementation and exploitation. 
• Student will learn the principles of dynamic memory allocation. 
• He/she learns and commands recursive and non recursive notation of basic algorithms. 
• Student overrules the implementation and analysis of most used algorithms for searching and sorting.

• Student learns terminology in Czech ane English language
• Student learns to participate on the small project as a member of small team
• Student learns to present and defend the results of the small project

• Introduction to Programming Systems (IZP)

• Basic knowledge of the programming in procedural programming language (knowledge of programming language C will be essential for solving homework problems).
• Knowledge of secondary school level mathematics.

• Cormen, T.H., Leiserson, Ch.E., Rivest, R.L.: Introduction to Algorithms, Cambridge: MIT Press, 2009
• Knuth, D.: The Art of Computer programming, Vol.1,2,3. Addison Wesley, 1968
• Wirth, N.: Alorithms+Data Structures=Programs, Prentice Hall, 1976
• Horowitz, Sahni: Fundamentals of Data Structures in C, University Press, 2010
• Aho A.V., Hoppcroft J.E., Ullman J.D.: Data Structures and Algorithms, Addison Wesley, 1983.
• Kruse, R.L.: Data Structures and Program Design. Prentice- Hall,Inc. 1984
• Baase, S.: Computer Algorithms - Introduction to Design and Analysis. Addison Wesley, 1998

1. Overview of data structures, introduction to methods for evaluating the time complexity of algorithms.
2. Abstract data type and its specification.
3. Specification, implementation and exploitation of ADT list.
4. Specification, implementation and exploitation of ADT stack, queue. Numeration of expressions with the use of stack.
5. ADT search table.
6. Binary tree, algorithms upon the binary tree.
7. Searching, sequential, in the array, binary search.
8. Binary search trees, AVL tree.
9. Hashing-tables.
10. Ordering (sorting), principles, without movement, multiple key.
11. Most common methods of sorting of arrays.

• Two home assignments

• Two evaluated  home assignments - 25 points
• Mid-term written examination - 14 point
• Final written examination - 51 points
• Elaboration of short tasks in lectures - 10 points