Introduction to Tools and Methods of Artificial Intelligence

While the focus of the week is Machine Learning and the current state-of-the-art Deep Learning, our speakers will cover a variety of AI methods from fuzzy systems, to neuromorphic architectures, to provide a throughout foundation of different practical AI methods.
Extending this knowledge, the last unit of this summer school is about the possible interfaces of AI, with a deep-dive into Natural Language Processing and Robotics.
With a daily Python coding session the students can get familiar with the industry-standard tools to facilitate machine learning projects.

Course leader

ELTE Faculty of Infromatics, Department of Artificial Intelligence

Target group

We recommend this course for those who are familiar with script coding languages, linear algebra, and the basic ideas behind statistics and probability.

Course aim

This summer school course aims to provide the first insight to Artificial Intelligence for students with a background in STEM fields.

Credits info

3 EC
The course offers ECTS points, which may be accepted for credit transfer by the participants' home universities. Those who wish to obtain these credits should inquire about the possible transfer at their home institution prior to their enrollment.

Fee info

EUR 470: The course fee includs tuition fee, accommodation, lunch and breakfast, local transport and leisure time activities.

Scholarships

Early bird registration until the 10th of February (380 EUR).