FPF:UIINK02 Algorithms and programming I - Course Information
UIINK02 Algorithms and programming I
Faculty of Philosophy and Science in OpavaWinter 2020
- Extent and Intensity
- 14/0/0. 4 credit(s). Type of Completion: z (credit).
- Teacher(s)
- RNDr. Miroslav Langer, Ph.D. (lecturer)
- Guaranteed by
- RNDr. Miroslav Langer, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava - Prerequisites (in Czech)
- TYP_STUDIA(B)
- Course Enrolment Limitations
- The course is offered to students of any study field.
- Course objectives
- The course is an introduction to the programming, students will learn to design algorithms, will understand their logical structure, the syntax, and semantics of the programming language. Students will also learn to use the data types properly (the standard as well as user-defined data types), loops, procedures, and functions. The students will also learn the basic methods of algorithm optimization.
- Learning outcomes
- Students will learn to design algorithms, understand the logic structure of the algorithm, syntax, and semantics of the programming language. Students will also learn to use the data-types correctly (primitive, as well as user-defined), use the loops, procedures, and functions.
- Syllabus
- 1. The algorithm, types of the algorithms, recursion, iteration, representation of an algorithm
- 2. Asymptotic analysis, time and space complexity
- 3. Basic terms and syntax: variable, array, operators, arithmetic expressions, branching, loops, functions
- 4. Flow charts
- 5. C++ language: basic syntax, comments, the structure of the program, variables and data-types
- 6. Functions, function main, structures IF THEN ELSE, SWITCH
- 7. WHILE, DO WHILE, FOR loops
- 8. Sorting, properties and complexity of the sorting algorithms, Bubble sort, Shaker sort, Quick sort, Insert sort, Select sort, Merge sort, Heap sort, Radix sort, Bogo sort, Bozo sort
- 9. Structured data types, structures
- 10. Pointers
- Literature
- required literature
- • MATOUŠEK, David. C++ bez předchozích znalostí. Brno: Computer press, 2016. ISBN 9788025146408.
- • PŠENČÍKOVÁ, Jana. Algoritmizace. Vyd. 2. Kralice na Hané: Computer Media, 2009. ISBN 978-807-4020-346.
- recommended literature
- Prokop, J. Algoritmy v jazyku C a C++. Praha, 2015. ISBN 24797465. info
- Stephen Prata. Mistrovství v C++ 4. aktualizované vydání. 2013. ISBN 9788025138281. info
- http://msdn.microsoft.com.
- • http://www.algoritmy.net, www.itnetwork.cz, http://www.cplusplus.com/, https://stackoverflow.com
- Teaching methods
- Interactive lectures, computer tutorials
- Assessment methods
- Homework, final project, defending the final project.
- Language of instruction
- Czech
- Follow-Up Courses
- Further comments (probably available only in Czech)
- Study Materials
The course can also be completed outside the examination period.
Information on the extent and intensity of the course: Přednáška 14 HOD/SEM.
- Enrolment Statistics (Winter 2020, recent)
- Permalink: https://is.slu.cz/course/fpf/winter2020/UIINK02