Ranking of Polish Universities

Perspektywy 2022:

Biomedical Engineering AGH

Computer Science AGH

What is this course about?

This course is intended to give students a broad overview and deep knowledge about popular solutions and efficient neural network models as well as to learn how to construct and train intelligent learning systems in order to use them in everyday life and work. During the course we will deal with the popular and selected models and methods of neural networks and other learning systems that enable us to find specific highly generalizing models solving difficult tasks. We will also work with various data and try to model their structure in such a way to optimize operations on them throughout making data available without necessity to search for them. This is a unique feature of associative structures and systems. These models and methods will allow us to form and represent knowledge in a modern and very efficient way which will enable us to mine it and draw conclusions. You will be also able to understand solutions associated with various tasks of cognitive and motivated intelligence.

Lectures will be supplemented by laboratories and projects, during which you will train and adapt the solution learned during the lectures on various data. Your hard work and practice will enable you not only to obtain expert knowledge and skills but also to develop your own intelligent learning system.

Expected results of taking a part in this course:

• Broad knowledge of neural networks and intelligent learning systems.
• Novel experience and broaden skills in construction, adaptation and training of neural networks.
• Abbility to construct intelligent learning systems of various kinds.
• Good and modern practices in modelling, construction, learning and generalization.
• Own intelligent learning system to use in your life or work.
• Satisfaction of enrollment to this course.