FF:ISKM72 Basics of Algorith. Thinking - Course Information
ISKM72 Basics of Algorithmic Thinking
Faculty of ArtsSpring 2022
- Extent and Intensity
- 1/1/0. 5 credit(s). Type of Completion: k (colloquium).
- Teacher(s)
- Ing. Ondřej Veselý (lecturer)
- Guaranteed by
- PhDr. Petr Škyřík, Ph.D.
Department of Information and Library Studies – Faculty of Arts
Contact Person: Mgr. Alice Lukavská
Supplier department: Department of Information and Library Studies – Faculty of Arts - Timetable
- Thu 10:00–11:40 G02
- Prerequisites
- TYP_STUDIA(N)
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: 1/20, only registered: 1/20, only registered with preference (fields directly associated with the programme): 1/20 - fields of study / plans 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.
- Syllabus
- 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
- Literature
- 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
- Czech
- Further Comments
- Study Materials
The course is taught annually.
- Enrolment Statistics (Spring 2022, recent)
- Permalink: https://is.muni.cz/course/phil/spring2022/ISKM72