Creative Coding with Python

Display Schedule

Code Completion Credits Range Language Instruction Semester
373MCCWP Z 2 45S English winter

Subject guarantor

Eric ROSENZVEIG

Name of lecturer(s)

Georgy BAGDASAROV, Eric ROSENZVEIG

Learning outcomes of the course unit

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.

This class will be a prerequisite for a new class in Artificial Intelligence and Artmaking scheduled for Winter semester 2019.

Mode of study

Lecture and coding with exercises.

Prerequisites and co-requisites

bring your laptop

Course contents

Prerequisite for class in AI offered by CAS 2019.

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.

Recommended or required reading

Image Processing and Acquisition using Python by Sridevi Pudipeddi, Ravishankar Chityala, Chapman and Hall/CRC 2015 nejméně 3 tituly

Assessment methods and criteria

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

Attendance, participation and exercises each class.

Note

George Bagdassarov is a teacher at CAS, Zvuk and formerly strih and has wide expertise in editing, music making, programming and performance. He runs the artist film lab labodoble in Prague.

Further information

This course is an elective for all AMU students

Schedule for winter semester 2018/2019:

Date Day Time Tutor Location Notes No. of paralel
29.10.2018 14:00–18:00 Georgy BAGDASAROV Room No. 423
Lažanský palác 		parallel1
26.11.2018 14:00–18:00 Georgy BAGDASAROV Room No. 423
Lažanský palác 		parallel1
17.12.2018 14:00–18:00 Georgy BAGDASAROV Room No. 423
Lažanský palác 		parallel1

Schedule for summer semester 2018/2019:

The schedule has not yet been prepared

The subject is a part of the following study plans