Science Courses
The Utrecht Summer School offers a varied programme in the field of Science. Our programme covers various subjects including Mathematics, Computer Science, Machine Learning and Geosciences. These courses are offered at Advanced Bachelor, Master or Advanced Master level.
All courses include the teaching format in the course description.
4 course(s) found
Applied Functional Programming in Haskell
Typed functional programming languages allow for the rapid development of robust programs. This course explores some of the more advanced language features of Haskell, a state of the art functional programming language, together with some of its theoretical background. The course aims to teach not only the more advanced Haskell features, such as GADTs or type families, but also the underlying theory. Besides the lectures, there are numerous…
Introduction to Complex Systems
Our world has an abundance of so-called complex systems. These are typically large collections of connected elements that influence each other. In this online course, we combine examples across physics, the life sciences, socio-economic sciences and humanities with an introduction to basic mathematical tools to learn a complex systems way of thinking. The main aim is to show students how complex systems science is applied by Utrecht University…
Mathematics Education
The focus of the Mathematics Education course is: bringing participants up to date in curriculum development and research in the field of mathematics education, and refreshing and deepening the knowledge of meaningful and relevant mathematics education. Topics will include: curriculum development, revealing and building on talents of students, task design, classroom experiments and lesson study, contexts and tools for modeling and inquiry-based…
Data Science and Beyond: Data Assimilation with Elements of Machine Learning
How do meteorologists forecast the weather and climate? Is there a way to predict the profit from a wind farm? These are some of the questions modern science addresses by using data assimilation. Many research institutes and companies (e.g. KNMI, Shell, US-NCAR or UK MetOffice) develop and employ data assimilation and the demand for trained personnel is constantly growing. The school will describe the theoretical foundation of data assimilation…