FPF:UIINP02 Algorithms and programming I - Course Information
UIINP02 Algorithms and programming I
Faculty of Philosophy and Science in OpavaWinter 2020
- Extent and Intensity
- 2/2/0. 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 - Timetable
- Tue 8:05–9:40 B1
- Timetable of Seminar Groups:
UIINP02/B: Tue 9:45–11:20 B3a, M. Langer
UIINP02/C: Wed 10:35–12:10 B3a, M. Langer - Prerequisites (in Czech)
- TYP_STUDIA(B)
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Mathematical Methods and Modelling (programme MU, Bc-M)
- Mathematical Methods in Economics (programme MU, Bc-M)
- Mathematical Methods in Risk Management (programme MU, Bc-M)
- General Mathematics (programme MU, Bc-M)
- 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 type, 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. Mandatory attendance at tutorials at least 75%.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course can also be completed outside the examination period.
- Enrolment Statistics (Winter 2020, recent)
- Permalink: https://is.slu.cz/course/fpf/winter2020/UIINP02