Course: Algorithms and Programming

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Course title Algorithms and Programming
Course code USII/PALG
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study 2
Semester Winter
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
  • Novák Martin, Ing.
  • Ibl Martin, Ing. Ph.D.
  • Horák Oldřich, Mgr. Ing. Ph.D.
  • Panuš Jan, Ing. Ph.D.
Course content
Introduction to the course, definitions of a computer and a computer system. Technical and programming equipment of computers. Methods of task solving on a computer. Algorithmization of tasks. Basic terms used in algorithmization and programming. Programming languages and the Python language. Constants, variables, terms, and commands. Block programme structure. Data types. Classification of data types. Basic commands. Standard procedures of input and output data. Structured commands. Structured data types. Principles of the object-oriented programming. Work with Lego robotic sets by mobile phone with iOS or Android OS.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Work with text (with textbook, with book), Methods of individual activities
  • unspecified - 14 hours per semester
Learning outcomes
Students are acquainted with essentials of informatics and technical equipment of computers as well as the Python programming language and the basics of flowcharts.
Students will be able to analyze problem, create and algorithm, write it in a form of a flow chart and programme it in Python. They will be able to understand basic terms of programming.

Assessment methods and criteria
Oral examination, Written examination, Home assignment evaluation

Assignment granting is conditioned by completion of tasks at seminars (minimum achievement of 60 percent is required) and submission of a project. Examination: successul defence of a project (students develop and defend their own programmes on selected topics). Detailed information will be provided during the first lecture.
Recommended literature
  • Daryl Harms, Kenneth McDonald. Začínáme programovat v jazyce Python. Praha, 2008. ISBN 978-80-2512-161-0.
  • Hylmar, Radek. Programování pro úplné začátečníky. Brno: Computer Press, 2009. ISBN 978-80-251-2129-0.
  • Pecinovský, R. Cesta k profesionalitě - Základy algoritmizace.
  • Taufer, Ivan . Algoritmy a algoritmizace - vývojové diagramy. Pardubice: Univerzita Pardubice, 2009. ISBN 978-80-7395-182-5.

Study plans that include the course