Introduction to tools and methods of Artificial Intelligence
The course fee for 1-week courses - that includes tuition fee, accommodation (student residence halls with shared rooms 2-3/ room), meals (breakfast and lunch), local transport and the cost of the leisure time programs - is 470 EUR. All applicants are required to pay 70 EUR (out of this 470) as registration fee within 10 days of submitting their application. The registration fee is non-refundable.
Credits: 3 EC
Our 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. The International Strategy Office will send a transcript to those who have fulfilled all the necessary course requirements and request one.
Venue: Lágymányos Campus, 1117 Budapest, Pázmány Péter sétány 1/C, North Building, Room: 7.90 (7th floor)
Opening Ceremony venue: ELTE Faculty of Law, 1053 Budapest, Egyetem tér 1–3., Aula Magna (Monday, 10:00)
Application:
For students who do not need a visa to travel to Hungary: https://www.elte.hu/en/ai-bsu2023
For students who need a visa to travel to Hungary: https://www.elte.hu/en/ai-bsu2023-visa
Course description
This summer school course aims to provide the first insight to Artificial Intelligence for students with a background in STEM fields. 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.
Requirements: We recommend this course for those who are familiar with script coding languages, linear algebra, and the basic ideas behind statistics and probability.
Schedule
Day 1
Opening Ceremony at ELTE Faculty of Law, 1053 Budapest, Egyetem tér 1–3., Aula Magna (Monday, 10:00)
Introduction to AI- János Botzheim
Introduction to Machine Learning- János Botzheim
Day 2
Machine Learning and Deep Learning, Lecture- Dos Santos Melíció Bruno Carlos
Machine Learning and Deep Learning, Practice- Szilárd Kovács
Fuzzy Systems- János Botzheim
Day 3
Machine Learning and Deep Learning, Lecture- Dos Santos Melíció Bruno Carlos
Machine Learning and Deep Learning, Practice- Szilárd Kovács
Evolutionary Algorithms- János Botzheim
Day 4
Natural Language Processing, Lecture - András Simonyi
Natural Language Processing, Practice- Natabara Gyöngyössy
Spiking Neural Networks- Natabara Gyöngyössy
Day 5:
Natural Language Processing, Lecture- András Simonyi
Natural Language Processing, Practice- Natabara Gyöngyössy
Robotics- Kristian Fenech