ISKM72 Basics of Algorithmic Thinking

Faculty of Arts
Spring 2020
Extent and Intensity
1/1/0. 5 credit(s). Type of Completion: k (colloquium).
Ing. Ondřej Veselý (lecturer)
Guaranteed by
PhDr. Petr Škyřík, Ph.D.
Division of Information and Library Studies - Department of Czech Literature - Faculty of Arts
Contact Person: Mgr. Alice Lukavská
Supplier department: Division of Information and Library Studies - Department of Czech Literature - Faculty of Arts
Thu 10:00–11:40 G02
There’s no technical prerequisites for this course. Basic computer skills are completely enough. Also, there’s no need for a special software.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 14/20, only registered with preference (fields directly associated with the programme): 13/20
Fields of study the course is directly associated with
there are 14 fields of study the course is directly associated with, display
Course objectives
The goal of the course is to provide basics of algorithmic thinking within a context of data munging. Students will be familiar with programming technics in order to be able analyse and tranform data.
  • Basic terminology, principles and algoritmization possibilities
  • Reprezentation of algorithms, methods of design algorithms
  • Options of algorithmic notations and flowchards
  • Basics data types, its representations and processing
  • Elements of programming languages
  • Arrays, matrices, cycles, sorting
  • Basic tasks of algorithmization, analysis and transformation of data
    recommended literature
  • MOTYČKA, Arnošt. Algoritmizace. 1. vyd. Brno: Konvoj, 1999, 75 s. ISBN 80-85615-80-0.
  • Švec, Jan. Učebnice jazyka Python. Vydání 2.2, 2002
  • Chaudhuri, A. 2005. The Art of Programming Through Flowcharts and Algorithms. 1. Laxmi Publications.
Teaching methods
Weekly lectures. Programming exercises and commented code presentation. Course is available for distance students.
Assessment methods
Written tests
Language of instruction
Further Comments
The course is taught annually.

  • Enrolment Statistics (recent)
  • Permalink: