Course
Introduction to Artificial Intelligence
Machine Learning and Neural Networks
In this course we explain what AI is, how algorithms work, and how you select, train and implement algorithms.
€599
Specifications
Description
Artificial Intelligence (AI) has grown from a promising research field into an essential part of modern life. Many processes and decisions in our lives are governed by algorithms: from autonomous driving, e-commerce recommendations, traffic predictions to fraud detection. It is important that AI is used correctly, to prevent privacy issues, discriminations and other harm.
In this course you get a hands-on introduction into all aspects of modern AI. You will learn the following:
- Definition of AI and common usage. Distinction between AI, machine learning, deep learning and classic AI
- Explanation of rule based systems and limitations, and the alternative data driven approach
- Data science, including handling data sets, data manipulation and basic machine learning algorithms such as linear regressions
- More advanced machine learning algorithms, including neural networks and evolutionary Algorithms
- The process of training, testing and evaluating algorithms
- Understanding algorithmic bias and how to ensure the ethical and responsible use of AI.
The course consists of a combination of lectures, practical sessions using the Python programming language, and group discussions.
Day to Day Documents
Lecturers
Sieuwert van Otterloo, PhD
Sietske Tacoma PhD
Dr. Stefan Leijnen, Professor AI
Target audience
Bachelor and Master students from all backgrounds are welcome. It is necessary to have basic mathematics experience (linear algebra) and computer literacy skills . The course includes practical sessions where students will use Python and Jupyter Notebook to complete assignments.
Please note that students should bring their own laptop computer.
A good command of English is absolutely necessary. Given the interactive nature of teaching, students must have the capabilities to communicate (understand and speak) in English well!
Aim of the course
The aim of the course is to give students with a Business or Science background an understanding of Artificial Intelligence and help them develop basic AI systems.
Study load
Fifty hours
Please note: You must attend all learning activities (e.g. workshops, fieldwork) to be able to receive the Certificate of Participation and/or the credits for this course, unless absence is officially approved by the teachers and the coordinator of the Utrecht Summer School.
Costs
- Course fee: €599.00
- Included: Course + course materials
- Housing fee: €200
- Housing provider: Utrecht Summer School
The course fee presented, applies to all students currently enrolled in a bachelor, master or PhD programme and to 'Fresh Alumni'. If this applies to you and you therefore believe that you are eligible for this fee, please mention this in your motivation when applying for this course.
If not, a professional fee of €749 is applicable, and will be invoiced and visible for you in your account once you are accepted to the course.
Please note: if you do not provide proof that you are currently enrolled in a bachelor, master or PhD programme or that you are a Fresh Alumni', we will charge the ‘professional (higher) fee!
Additional information
The housing costs do not include a Utrecht Summer School sleeping bag and travel pillow (which you can take home after the course). Please note that Sleeping bag is to be chosen as a separate product on the invoice.
If you wish not to buy the Summerschool Sleeping bag and travel pillow and rather bring your own bedding (sleeping bag and pillow). In that case, do not forget to bring your own bed linen and pillow! In all cases, do bring your own towels, please.