VIKMB47 Basics of Algorithmic Thinking

Faculty of Arts
Spring 2015
Extent and Intensity
1/1/0. 4 credit(s). Type of Completion: k (colloquium).
Ing. Ondřej Veselý (lecturer)
Mgr. Tomáš Bouda (lecturer)
Mgr. Jan Martinek (assistant)
PhDr. Petr Škyřík, Ph.D.
Division of Information and Library Studies - Department of Czech Literature and Library Studies - Faculty of Arts
Contact Person: Mgr. Sabina Kubisová
Supplier department: Division of Information and Library Studies - Department of Czech Literature and Library Studies - Faculty of Arts
Thu 14:10–15:45 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 offered to students of any study field.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20
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
  • Gabet, Serge. Google Apps Script for Beginners. 1. vyd. Packt Publishing Ltd, 2014, 178 s.
  • MOTYČKA, Arnošt. Algoritmizace. 1. vyd. Brno: Konvoj, 1999, 75 s. ISBN 80-85615-80-0.
  • 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
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2016, Spring 2017, Spring 2018.
  • Enrolment Statistics (Spring 2015, recent)
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