Shrek Knows: AI is Like an Onion—Full of Data Layers and Hidden Insights!

General description

Have you ever wondered just how deep AI goes? We know the answer is yes, but really, have you ever thought about all its hidden layers? Like an onion (or an ogre!). AI is full of surprises, stretching across ethics, data science, human-AI interaction, sustainability and the list goes on!

In this 9 day adventure in Ankara, you’ll peel back these layers, uncovering AI’s real-world applications, ethical dilemmas, and potential for innovation. From AI Ethics & Fairness, where you’ll learn how to spot bias and ensure responsible AI, to Human-AI Interaction, where AI isn’t a fire-breathing dragon but a partner in shaping the future. This course will take you on an exciting journey through the world of artificial intelligence.

But this isn’t just about learning right? It's also about experiencing AI in the best way possible! Alongside 22 fellow adventurers from all over Europe, you’ll engage in hands-on activities, interactive discussions, and cutting-edge AI applications, all while immersing yourself in the rich Turkish culture, enjoying delicious local cuisine, having unforgettable socials while exploring the vibrant energy of Ankara. So, are you ready to step into the AI swamp? No worries—this one doesn’t smell bad!

Academic information

Fields of activity:

Applied Sciences , Computational Sciences , Computer Engineering , Computer Science/Automatic Control/Informatics , Electrical/Electromechanical Engineering , Electronic/Electrotechnical Engineering , Industrial Engineering , Logistics , Mathematics

Content and topics:

Principles of AI, AI’s applications in various industries, and its upcoming developments and trends.

Learning goals and objectives:

Participants will develop a comprehensive understanding of artificial intelligence, its core principles, ethical considerations, and real-world applications across various industries. They will explore the intersection of AI, data science, human-AI interaction, and sustainability, equipping them with the knowledge and critical thinking skills to assess AI’s societal impact and future potential.

Examination type:

Group project or written exam

ECTS credits issued:

1.0

Information for applicants

Selection criteria:

Based on the Motivational Letter and the answers to the questions.

Practical arrangements

All of the following are covered by the event fee:

Lodging:

School dormitories

Meals:

Three meals per day, at least one served hot

Transportation:

Public transportation and walking, free of charge for participants