Course: Introduction to Programming for IT 2

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Course title Introduction to Programming for IT 2
Course code KMI/ZPP2
Organizational form of instruction Seminar
Level of course Bachelor
Year of study 2
Semester Summer
Number of ECTS credits 4
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)
  • Zacpal Jiří, Mgr. Ph.D.
  • Panchártek Karel, MDDr.
  • Laštovička Jan, Mgr. Ph.D.
  • Trnečka Martin, RNDr. Ph.D.
  • Vyjídáček Roman, Mgr.
Course content
unspecified

Learning activities and teaching methods
Dialogic Lecture (Discussion, Dialog, Brainstorming), Demonstration
Learning outcomes
Prerequisites
unspecified
KMI/ZPP1

Assessment methods and criteria
Student performance, Analysis of Activities ( Technical works)

Recommended literature
  • Hetland, M. L. (2014). Python algorithms: mastering basic algorithms in the Python language (2nd Edition).
  • Lutz, M. Learning Python, 5th edition.
  • Ramalho, L. (2015). Fluent Python: Clear, Concise, and Effective Programming (1st Edition).
  • Reitz, K., Schlusser, T. (2016). The Hitchhiker's Guide to Python: Best Practices for Development.
  • Summerfield, M. (2010). Python 3, výukový kurz.


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 Mathematics - Specialization in Data Science (2020) Category: Mathematics courses 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Industrial Mathematics (2020) Category: Mathematics courses 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Computer Science for Education (2024) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Information Technologies (2022) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Business Mathematics (2021) Category: Mathematics courses 2 Recommended year of study:2, Recommended semester: Summer