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Course
Joseph Lizier edited this page Jan 9, 2018
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This page will host our course on "Information Theory for analysing Complex Systems", providing the student a theoretical introduction to the relevant tools from information theory, and a practical guide to using JIDT for such analysis. Substantial content will be provided here, including video lectures, tutorial activities and sample code.
For the time being, lecture slides are available in the course
folder of the distribution (from v1.4.1).
Lectures for each module are available via:
- Module 1 -- Introduction to Information Theory
- Module 2 -- What is information?
- Module 3 -- JIDT
- Module 4 -- Estimators and JIDT
- Module 5 -- Self-organisation and case studies
- Module 6 -- Statistical significance
- Module 7 -- Information dynamics I (information storage)
- Module 8 -- Information dynamics II (information transfer)
- Module 9 -- Network inference
- Module 10 -- Wrap up
A shorter introduction to JIDT is available as a Tutorial.
JIDT -- Java Information Dynamics Toolkit -- Joseph Lizier et al.
- Home
- Getting started
- ImplementedMeasures
- Demos
- Course (long)
- Tutorial (short)
- Non-Java environments
- FAQs
- Miscellaneous
- For serious developers!
- Publications resulting