FPF:UIINP08 Algorithms and Programming II - Course Information
UIINP08 Algorithms and Programming II
Faculty of Philosophy and Science in OpavaSummer 2023
- Extent and Intensity
- 2/2/0. 5 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. RNDr. Lucie Ciencialová, Ph.D. (lecturer)
Ing. Jiří Blahuta, Ph.D. (lecturer)
RNDr. Jiří Martinů, Ph.D. (seminar tutor) - Guaranteed by
- doc. RNDr. Lucie Ciencialová, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava - Timetable
- Wed 16:25–18:00 B2
- Timetable of Seminar Groups:
- Prerequisites
- Algorithms and Programming I
- 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
- Informatics B/P (programme FPF, INFOR-bpk)
- 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 "Algorithms and programming II" ensues the course "Algorithms and programming I". Students will get familiar with dynamic variables and dynamic data structures issue, the application of dynamic data structures in the graph, sorting and searching algorithms.
- Learning outcomes
- Students will be able to:
- use the dynamic variables
- create dynamic data structures like a queue, stack, linked lists
- implement these data structures in the sorting and graph algorithms
- handle the directories and files - Syllabus
- 1. Dynamic variables
- 2. Dynamic data structures, queue, stack, list
- 3. Application of dynamic data structures
- 4. Searching linked list
- 5. Radix sort
- 6. Breadth-first search and depth-first search
- 7. Passing a maze
- 8. Hamiltonian path and cycle
- 9. Rod Cutting Problem
- 10. Handling the files
- Literature
- required literature
- http://www.algoritmy.net. URL info
- Prokop, J. Algoritmy v jazyku C a C++. Praha, 2015. ISBN 24797465. info
- recommended literature
- http://msdn.microsoft.com, http://www.cplusplus.com, http://www.itnetwork.cz, https://stackoverflow.com
- MATOUŠEK, David. C++ bez předchozích znalostí. Brno: Computer press, 2016. ISBN 978-80-251-4640-8. info
- Stephen Prata. Mistrovství v C++ 4. aktualizované vydání. 2013. ISBN 9788025138281. info
- CORMEN, T. H., LEISERSON, C. E., RIVEST, R. L., STEIN, C. Introduction to Algorithms. Cambridge: The MIT Press, 2009. ISBN 978-0262033848. info
- not specified
- SEDGEWICK, R., WAYNE, K. Algorithms. Boston: Addison-Wesley Professional, 2011. ISBN 978-0321573513. info
- Teaching methods
- Interactive lecture, tutorial
- Assessment methods
- Credit: Final project, defending the final project.
Mandatory attendance at tutorials at least 75%.
Exam: Program and defend an application according to the drawn assignment. - Language of instruction
- Czech
- Further Comments
- Study Materials
The course can also be completed outside the examination period.
- Enrolment Statistics (Summer 2023, recent)
- Permalink: https://is.slu.cz/course/fpf/summer2023/UIINP08