Creative Coding 1

Display Schedule

Code Completion Credits Range Language Instruction Semester
373CC1 Z 1 2ST English winter

Subject guarantor

Georgy BAGDASAROV

Name of lecturer(s)

Georgy BAGDASAROV

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 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.

Mode of study

seminars

Prerequisites and co-requisites

none

Course contents

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

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.

Assessment 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

Note

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Schedule for winter semester 2020/2021:

06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
Tue
Wed
Thu
Fri
Date Day Time Tutor Location Notes No. of paralel
Georgy BAGDASAROV
parallel1

Schedule for summer semester 2020/2021:

The schedule has not yet been prepared

The subject is a part of the following study plans