Course: Algorithmics and Programming for Primary School

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Course title Algorithmics and Programming for Primary School
Course code KVD/APZS
Organizational form of instruction Lecture + Seminary
Level of course Master
Year of study 1
Semester Summer
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Přibáň Tomáš, PhDr. Ph.D.
  • Jakeš Tomáš, PhDr. Ph.D.
  • Baťko Jan, Mgr. Ph.D.
  • Fadrhonc Jan, Mgr. Ph.D.
Course content
Introduction to Algorithms with emphasis on problem formulation and analysis tasks. Basic algorithmic structures. Principles of design examples to develop algorithmic thinking of primary school pupils. The programming environment for teaching algorithmic thinking. Appropriate methods and activities developing algorithmic thinking. Creating usable examples of the development of algorithmic thinking in their chosen programming environment.

Learning activities and teaching methods
Project-based instruction, Multimedia supported teaching, Students' portfolio, Skills demonstration, Task-based study method, Individual study, Lecture, Lecture with visual aids, Practicum
  • Contact hours - 13 hours per semester
  • Practical training (number of hours) - 26 hours per semester
  • Preparation for formative assessments (2-20) - 2 hours per semester
  • Preparation for comprehensive test (10-40) - 5 hours per semester
  • Individual project (40) - 40 hours per semester
prerequisite
Knowledge
zná vývojové diagramy a základní struktury programu
vstupní znalosti na úrovni předmětu KVD/ALGV
Skills
vstupní dovednosti na úrovni předmětu KVD/ALGV
Competences
N/A
N/A
N/A
learning outcomes
Knowledge
umí se orientovat v problematice algoritmizace
umí zvolit vhodné programovací prostředí pro výuku algoritmického myšlení
Skills
dovede navrhnout vhodné metody a aktivity, které vedou k rozvoji algoritmického myšlení u žáků základních škol
dovede vytvořit vhodné příklady, které podporují rozvoj algoritmického myšlení
Competences
N/A
N/A
N/A
teaching methods
Knowledge
Lecture
Lecture with visual aids
Multimedia supported teaching
Task-based study method
Project-based instruction
Skills
Seminar
Task-based study method
Skills demonstration
Multimedia supported teaching
Individual study
Students' portfolio
Competences
Interactive lecture
Self-study of literature
E-learning
Task-based study method
Multimedia supported teaching
assessment methods
Knowledge
Test
Continuous assessment
Project
Combined exam
Written exam
Skills
Skills demonstration during practicum
Seminar work
Portfolio
Competences
Self-evaluation
Combined exam
Individual presentation at a seminar
Recommended literature
  • Programování pro děti : naučte se programovat při tvorbě skvělých her. 1. vyd. Brno : Computer Press, 2013. ISBN 978-80-251-3809-0.
  • Blaho, Andrej; Kalaš, Ivan. Imagine Logo : učebnice programování pro děti. Vyd. 1. Brno : Computer Press, 2006. ISBN 80-251-1015-X.
  • Tomcsányi, Peter. Imagine logo programovací prostředí pro děti. Brno : Computer press, 2006. ISBN 80-251-1218-7.
  • Töpfer, Pavel. Algoritmy a programovací techniky. 1. vyd. Praha : Prometheus, 1995. ISBN 80-85849-83-6.
  • Vaníček, Jiří; Mikeš, Radovan. Informatika pro základní školy a víceletá gymnázia. 3. díl. Vyd. 1. Brno : Computer Press, 2006. ISBN 80-251-1082-6.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Education Study plan (Version): BS Teacher Training in Computer Technology (19) Category: Pedagogy, teacher training and social care 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Education Study plan (Version): BS Teacher Training in Computer Technology (17) Category: Pedagogy, teacher training and social care 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Education Study plan (Version): BS Teacher Training in Computer Technology (18) Category: Pedagogy, teacher training and social care 1 Recommended year of study:1, Recommended semester: Summer