Methodological Courses

Arduino and Microcontrollers Course

This course is intended as an introduction to using arduino and microcontrollers.

Data Modelling

In this course we will go together over a set of data from a fairly standard behavioural experiment in human cognition research, trying to extract reliable inferences from it. In doing this, we'll go over a number of basic and not-so-basic statistical issues, which includes graphical data exploration, data manipulation (e.g., standardisation, centering), regression, mixed-effect modelling, predictor collinearity, non linearity, and (perhaps) bootstrap

Introduction to Electronics

Along this course you will be guided through a rational pathway touching different topics in the field of electronics. By following a theoretical approach with practical examples connected to the scientific laboratory environment, the course is open to everybody who aims to understand and take advantage of electronics as a tool for their research.

Methodologies of fMRI and TMS

Instructor : Sandra Arbula

Magnetic Resonance Imaging (MRI) and Transcranial Magnetic Stimulation (TMS) are common research tools in neuroscience used to investigate the neural correlates of human cognitive functions.

Scientific programming: A crash course

Basic coding skills are essential in science, but, unfortunately, many students do not receive formal training in programming and are often left to figure things out for themselves. The aim of this short crash course is cover enough of the core principles that you can feel confident in continuing your coding journey through self-directed learning and discovery. By the end of the course, you should be able to script a basic experiment, handle data, and plot graphs.

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