Creative Coding 2

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Code Completion Credits Range Language Instruction Semester
373CC2 credit 1 2 seminar hours (45 min) of instruction per week, 4 to 9 hours of self-study English summer

Subject guarantor

Name of lecturer(s)



When we speak about Python we should speak about two key features of that programming language - its power and beauty. The power of Python is that it represents a high-level programing language which can be used for general purposes (like Delphi, Perl or the family of C based languages C, C++, C# etc.). But in the meantime, the beauty of Python is that it's less complicated for understanding and is a more intuitive programming language. The aim of the course is to introduce the features of coding in Python, which can be used in artistic practice.

Learning outcomes

The course will bring an understanding of the data structures of audio, image and video files and will open possibilities for working with media far beyond the features of the available softwares. The skills obtained in the course can be further applied in Neural Network development, physical computing, implementing new features to some open media softwares as well as bring possibilities to develop standalone applications which can be used in performances, installations or fixed media works.

Prerequisites and other requirements



PUDIPEDDI, Sridevi and CHITYALA, Ravi. Image Processing and Acquisition using Python. New York: Chapman and Hall/CRC, 2014. 390 s. ISBN 978-1466583757.

MATTHES, Eric. Python Crash Course: A Hands-On, Project-Based Introduction to Programming. San Francisco: No Starch Press, 2015. 560 s. ISBN 978-1593276034.

Evaluation methods and criteria

Attendance, participation and exercises each class. Practical exercises and Final exam.

Attendance is compulsory for each class as it is impossible to continue if you miss one.



Schedule for winter semester 2022/2023:

The schedule has not yet been prepared

Schedule for summer semester 2022/2023:

room TR-336
Room No. TR-336

(Tržiště 20, Praha 1 (vchod z Rektorátu AMU, Malostranské nám. 12))
Date Day Time Tutor Location Notes No. of paralel
Fri 10:00–15:00 Georgy BAGDASAROV Room No. TR-336
Tržiště 20, Praha 1 (vchod z Rektorátu AMU, Malostranské nám. 12)

The subject is a part of the following study plans