Gurantor department | Department of Computer Science | Credits | 4 |

Subject guarantor | doc. Mgr. Jiří Dvorský, Ph.D. | Subject version guarantor | doc. Mgr. Jiří Dvorský, Ph.D. |

Study level | undergraduate or graduate | ||

Study language | English | ||

Year of introduction | 2019/2020 | Year of cancellation | |

Intended for the faculties | FEI | Intended for study types | Bachelor |

Instruction secured by | |||
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Login | Name | Tuitor | Teacher giving lectures |

DVO26 | doc. Mgr. Jiří Dvorský, Ph.D. |

Extent of instruction for forms of study | ||
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Form of study | Way of compl. | Extent |

Full-time | Graded credit | 2+2 |

Acquaint students with the basics of structured programming, the basics of C + +. After completing the course, students will be able to:
Work with integrated development environment for C++.
Define a describe basic programming constructions.
Develop and debug a simple program C++.
Use data structures such as array, list, etc.
Write a recursive function.
Use sorting and searching algorithms in their programs.

Lectures

Tutorials

This subject is the introductory programming course. Students are expected to have the basic C++ knowledge and high school math knowledge. Discussed algorithms and data structures will be demonstrated in C++. A large emphasis is placed on practical implementation discussed algorithms and data structures. Students are encouraged analysis and synthesis solutions to the problems of smaller units.

LEVITIN, Anany. Introduction to the design. 3rd ed. Boston: Pearson, 2012. ISBN 978-0-13-231681-1.
CORMEN, Thomas H. Introduction to algorithms. 2nd ed. Cambridge, Mass.: MIT Press, 2001. ISBN 02-620-3293-7.
SEDGEWICK, Robert. Algorithms in C. 3rd ed. Reading, Mass: Addison-Wesley, 1998. ISBN 978-020-1350-883.

STROUSTRUP, Bjarne. The C programming language. Fourth edition. Upper Saddle River, NJ: Addison-Wesley, 2013. ISBN 978-0321563842.
SCHILDT, Herbert. Teach yourself C. 3rd ed. Berkeley: Osborne McGraw-Hill, 1998. ISBN 978-0078823923.

Conditions for granting credit
Implementation and presentation of the project.
Programming applications to simple exercises.
Attendance on exercises.

Students are expected to have the basic C++ knowledge and high school math knowledge.

Subject has no prerequisities.

Subject has no co-requisities.

Algorithm. Algorithmic problem solving strategies. Important problem types.
Analysis of complexity of algorithms.
Brute force strategy. SelectSort. BubbleSort. Sequential search. Convex hull problem. Closest pair problem.
Complete search strategy. Traveling salesman problem. Knapsack problem. Graph traversal.
Decrease and conquer strategy. InsertSort. Generate permutations and subsets. Binary search algorithm. Finding the median. Interpolation search. Searching and insertion in a binary search tree.
Divide and conquer strategy. QuickSort. MergeSort. Convex hull problem. Closest pair problem.
Computer seminars
Iterative algorithms complexity analysis.
Recursive algorithms complexity analysis.
Implementation of convex hull problem, closest pair problem.
Traveling salesman problem - experiments with complete search solution.
Graph traversal algorithms usage.
Generate permutations and subsets.
Implementation of binary search algorithm, interpolation search algorithm and median finding.
Binary search tree implementation.
Implementation of divide and conquer strategy solutions.

Conditions for completion are defined only for particular subject version and form of study

Academic year | Programme | Field of study | Spec. | Form | Study language | Tut. centre | Year | W | S | Type of duty | |
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2019/2020 | (B0714A150004) Computer Systems for the Industry of the 21st. Century | P | English | Ostrava | 2 | Compulsory | study plan | ||||

2019/2020 | (B3973) Automotive Electronic Systems | P | English | Ostrava | 1 | Compulsory | study plan | ||||

2019/2020 | (B0613A140010) Computer Science | P | English | Ostrava | 1 | Compulsory | study plan | ||||

2019/2020 | (B0541A170009) Computational and Applied Mathematics | P | English | Ostrava | 1 | Compulsory | study plan |

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