Course: Introduction to Programming

« Back
Course title Introduction to Programming
Course code SLO/UPROG
Organizational form of instruction Seminar
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory, Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Myška Robert, Mgr. Ph.D.
Course content
- Algorithm development. - Program control structures. - Data types and operators. - Object-oriented programming. - Use ready-made libraries. - Program efficiency. - Program readability.

Learning activities and teaching methods
Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming), Training in job and motor Skils
  • Attendace - 39 hours per semester
  • Homework for Teaching - 13 hours per semester
  • Preparation for the Course Credit - 8 hours per semester
  • Semestral Work - 30 hours per semester
Learning outcomes
The goal is that students learn basics of algorithm and program development.
Synthesis Create an algorithm and formulate it in the programming language Python.
Prerequisites
Some basic knowledge of computer science at the high school level. The lecture will be opened when participating at least 2 students of the study program Physics.

Assessment methods and criteria
Mark, Analysis of Activities ( Technical works), Seminar Work

The ability of practical application of knowledge within the scope of the subject.
Recommended literature
  • Summerfield, M. (2011). Python 3, Výukový kurz. Computer Press.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Applied Physics (2019) Category: Physics courses 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Instrument and Computer Physics (2019) Category: Physics courses 1 Recommended year of study:1, Recommended semester: Winter