UIINK08 Algorithms and Programming II

Faculty of Philosophy and Science in Opava
Summer 2024
Extent and Intensity
14/0/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
RNDr. Jiří Martinů, Ph.D. (lecturer)
doc. RNDr. Lucie Ciencialová, 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
Prerequisites
Algorithms and Programming I
Course Enrolment Limitations
The course is offered to students of any study field.
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.-2. Dynamic memory allocation, dynamic variables
  • 3. Abstract data types
  • 4.-5. Usage of private, public, static, friend, template
  • 6.-8. Linked lists - creating, inserting, removing elements
  • 9.-10. Sorting algorithms in linked lists
  • 11. Search algorithms in linked lists
  • 12.-13. Graph implementation and graph algorithms
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 (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.
The course is also listed under the following terms Summer 2020, Summer 2021, Summer 2022, Summer 2023.
  • Enrolment Statistics (recent)
  • Permalink: https://is.slu.cz/course/fpf/summer2024/UIINK08