Academic Lead: Dr Sebastian Del Bano Rollin
This course is a basic introduction to the dynamics of time dependent data.
We will start by discussing the type of data to be analysed. A part from typical single number time series such as temperatures or stock prices, we will also consider the evolution of geospatial variables, 3D and text data.
This will be followed by the some basic Exploratory Data Analysis in the context of time dependent data.The couse will then provide insights on how time dependent data can be analysed based on real world examples and applications. Areas of applications that might be considered are speech, stock market evolution, music, geospatial data such as MRI scans, and medical time series data used in diagnostics.
Course content is subject to change.
1. Introduce students to the fundamental concepts of time-dependent data analysis in financial markets, medicine, social studies and other domains.
2. Develop a basic understanding of the methodologies and tools used to analyze time series data.
3. Provide hands-on experience with real-world datasets to apply theoretical concepts.
4. Explore the application of time-dependent data analysis in the context of large language models and cognitive sciences.
5. Equip students with the skills to critically evaluate and interpret dynamic data trends in various fields.
You will be taught through a combination of lectures, laboratory work, and workshops.
You will:
You will develop/be able to:
Additional costs
All reading material will be provided online, so it is not necessary to purchase any books.
For course and housing fees visit our finance webpage
We welcome Summer School students from around the world. We accept a range of qualifications
Have a question? Get in touch - one of the team will be happy to help!
Applications close 26 May 2025
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