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Lecturer(s)
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Greiner Karel, doc. Ing. Ph.D.
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Course content
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Introduction to the course. Algorithm and its notation. Flowchart symbols. Applications for drawing flowcharts. Program structure. Basic data types, variable declaration, basic operations with numbers, data inputs and outputs. Use of artificial intelligence tools in programming. Operators and expressions, logical data type, if statement and block. Algorithms with branching. Methods for mathematical operations. Algorithms with branching. While and do loop statements. Algorithms with loops without using arrays. For loop statement, jump statements. Algorithms with loops without using arrays. Array data type. One-dimensional array. Conversion between data types. Algorithms on one-dimensional array. Char and string data types. Operations with character strings. Program debugging. Algorithms on one-dimensional array. Multidimensional array. Algorithms for working with matrices. Algorithms for working with matrices. Methods - static method declaration, parameters, call, return statement. Algorithms using subroutines. Debugging a program with subroutines. Sorting and searching algorithms.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Demonstration, Skills training
- Preparation for an exam
- 35 hours per semester
- Participation in classes
- 65 hours per semester
- Preparation for a partial test
- 26 hours per semester
- Home preparation for classes
- 24 hours per semester
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Learning outcomes
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Algorithmization simple tasks and basic programming in programming language C# in Microsoft Visual Studio development environment.
After finishing the course students will be able to design and realize algorithms of basic problems in programming language C#.
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Prerequisites
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The prerequisite of this course is knowledge of basic works with OS Windows.
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Assessment methods and criteria
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Written examination
Process of the exam and other information see document available from the information system STAG.
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Recommended literature
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Bory, Pavel. C# bez předchozích znalostí. Brno: Computer Press, 2016. ISBN 978-80-251-4686-6.
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Greiner, Karel. Algoritmizace a programování - přednášky.
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Pšenčíková, Jana. Algoritmizace. Kralice na Hané: Computer Media, 2009. ISBN 978-80-7402-034-6.
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