B_Prg Programming

University of Finance and Administration
Summer 2020
Extent and Intensity
2/2. 7 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. RNDr. Jan Lánský, Ph.D. (seminar tutor)
Ing. Jiří Zumr (seminar tutor)
Guaranteed by
doc. RNDr. Jan Lánský, Ph.D.
Department of Computer Science and Mathematics – Departments – University of Finance and Administration
Contact Person: Ivana Plačková
Timetable of Seminar Groups
B_Prg/cAPH: Thu 17:30–18:14 E227, Thu 18:15–19:00 E227, J. Lánský
B_Prg/pAPH: Thu 15:45–16:29 E227, Thu 16:30–17:15 E227, J. Lánský
B_Prg/vAPH: Sat 29. 2. 14:00–15:30 E228, 15:45–17:15 E228, Fri 27. 3. 17:30–19:00 E128, 19:15–20:45 E128, Fri 17. 4. 17:30–19:00 E228, 19:15–20:45 E228, Fri 24. 4. 17:30–19:00 E228, 19:15–20:45 E228, J. Zumr
Prerequisites
B_UPg Introduction to Programming
The requirement for the completion of this course is completion of the course B_UPg.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
This is a continuation of basic programming course for first year students of Applied Informatics.
Learning outcomes
At the end of the course students should be able to:
- solve bigger algorithmic problems
- use selected standard algorithms, such as sorting and searching, basic graph algorithms, dynamic data structures
- use all common constructs of programming languages, including recursion and dynamic variables
- develop and debug computer programs in an integrated devolopmental environment.
Syllabus
  • 1. Dynamic memory allocation, singly linked list 2. Implementation of stack and queue using lists, doubly linked list, cyclic list 3. Trees, Binary Search Tree, Balanced Tree, AVL Tree 4. Binary tree as a dictionary, tree passage in depth and width, evaluation of arithmetic expression 5. MergeSort and QuickSort 6. Heapsort and external classification 7. B-trees and trie 8. Hashing, Blockchain (Bitcoin technology) 9. Graphs, graph continuity, existence of a circle 10. Skeleton of graph, bipartite graph 11. Finding the shortest path in the graph, wave, Dijkstra 12. Graphical user interface
Literature
    required literature
  • Wróblewski, P.: Algoritmy, Brno: Computer Press, 2015. ISBN:978-80-251-4126-7
  • P.Töpfer: Algoritmy a programovací techniky, Prometheus Praha 1995, 2. vyd. 2007
    recommended literature
  • P.Töpfer, D.Töpferová: Programování - Sbírka úloh, Fortuna 1998
Teaching methods
Lectures and seminars in full-time study, tutorials in part-time study. Minimal required participation is 75% on seminars in full-time study and 50% on tutorials in part-time study. Students with lower than required participation have to fulfill additional study duties.
Assessment methods
The course is completed with a credit and exam. A specific study and one or two computer programs, written documentation included, are required to award the credit. The exam consist of a written part, where students should write a program, procedure or function, and a verbal part. Knowledge of programming language, algorithms and programming techniques according to the lecture is required.
Language of instruction
Czech
Follow-Up Courses
Further comments (probably available only in Czech)
Information on completion of the course: povinná seminární práce v rozsahu 5 - 8 stran
The course can also be completed outside the examination period.
Information on the extent and intensity of the course: 16 hodin KS/semestr.
Teacher's information
http://ksvi.mff.cuni.cz/~topfer/vsfs/
The course is also listed under the following terms Winter 2007, Summer 2008, Winter 2008, Summer 2009, Summer 2010, Winter 2010, Summer 2011, Winter 2011, summer 2012, Winter 2012, Summer 2013, Summer 2014, Summer 2015, Summer 2016, Summer 2017, Summer 2018, Summer 2019, Summer 2021, Summer 2022, Summer 2023, Summer 2024, Summer 2025.
  • Enrolment Statistics (Summer 2020, recent)
  • Permalink: https://is.vsfs.cz/course/vsfs/summer2020/B_Prg