As a part of the XII Summer School in Statistics UPC-UB we are organizing, together with Matthieu Gilson, Adrià Tauste and Gorka Zamora, a summer course to introduce stats master students (or anybody interested) to data analysis in neuroscience.

The course will be held from July 2-6 (3 hours each day). The aim is to understand standard concepts and methods used to study and interpret brain connectivity (e.g., Granger causality, graph theory, machine learning) with a focus on their statistical aspects. During the course, students will use real data (whole-brain functional and structural MRI) and improve their programming skills (Python with numpy, scipy and scikit-learn) to implement such methods and discuss their findings.

Specific objectives:

  • Familiarize with the use of generative models for time series, with graph theory and supervised learning algorithms.
  • Understand neuroscience data.
  • Use tools for brain connectivity analysis.

Transversal objectives:

  • Improve Python programming skills.
  • Learn to compare results from different types of analyses about the same question.
  • Present the results of statistical analysis in a clear and appealing format.

Evaluation:

The students will be evaluated via a hands-on project developed during the course in small groups (up to three participants). They will be asked to summarize their results and present them in front of the whole class.

Prerequisites:

Students are expected to have basic knowledge in applied maths (linear algebra and calculus), as well as some programming skills. Knowledge of Python is recommended, but we will provide a small set of exercises to level up before the course for those that are familiar with other programming languages.

References:

  • Lütkepohl, H. (2005). New introduction to multiple time series analysis. Springer Science & Business Media.
  • Murphy, K. P. (2012). Machine Learning: a Probabilistic Perspective. MIT Press.
  • Wasseerman, S. & Faust, K. (1999). Social network analysis: Methods and Applications. Cambridge University Press.

 

 

More information: https://mesioupcub.masters.upc.edu/en/xii-summer-school-2018/summer-school-in-statistics-upc-ub-2018

Date: July 2-6 2018
Participants: up to 25

Contact: Prof. Marta Pérez-Casany (direccio.summerschool.fme@upc.edu)
Venue: Universitat Politècnica de Catalunya (Barcelona)

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