This course explores the neural anatomy and cognitive functions related to perception, attention, memory, and emotion. Students will gain hands-on experience in using neuroimaging, biometric, psycho-physiological, and eye-tracking tools to collect and analyze data. Emphasis is placed on interpreting complex datasets and understanding various measurement techniques, including brain imaging, physiological, and qualitative methods. Learners will evaluate the strengths and limitations of different measurement approaches in psychological and neuroscience research. By the end, learners will be equipped to select appropriate tools and methods for research design and data interpretation.

This module provides an introduction to brain imaging techniques, with a focus on neural imaging tools and functional Near-Infrared Spectroscopy (fNIRS). Through the lessons "Visualizing the Mind: An Introduction to Neural Imaging and fNIRS" and "fNIRS: Experiment and Analysis," learners will explore the fundamentals of brain imaging and the application of fNIRS in both experimental settings and data analysis.

In this module, you will learn to analyze brain imaging data collected via functional near-infrared spectroscopy (fNIRS). The module will also include a brief primer on statistical testing. If students have not taken a statistics course that involves hypothesis testing before, it is wise to review the primer and attend office hours to make sure they understand the necessary content before completing any assignments.

This module introduces students to various biometric methods, focusing on eye-tracking technologies and other physiological measurement techniques. Through the lessons "Choosing Biometric Methods: Technologies and Techniques" and "Exploring Biometric Techniques: Eye Tracking Insights," learners will gain a deeper understanding of how biometric data is collected and analyzed, with a particular emphasis on the insights provided by eye-tracking technologies.

The "Eye Tracking Analysis" module focuses on the principles and techniques of analyzing eye-tracking data. Through the lesson "Mastering Tobii: Data Import, Visualization, and Metrics," students will learn how to import, visualize, and interpret eye-tracking data, gaining hands-on experience with the Tobii platform to analyze experimental results effectively.