Recommended prerequisite for participation in the module

Content, progress and pedagogy of the module

The course gives an introduction to human perception and how perceived signals can be used for cognition. Furthermore, the course introduces the digital version of human perception, i.e., how sensors capture signals and convert them into data. Focus is especially on sound, image and psychophysiological data.

Learning objectives

Knowledge

• Must have knowledge about how the brain works in terms of biology and functionality
• Must have knowledge about the human auditory system
• Must have knowledge about the human visual perception
• Must have knowledge about psychophysiological phenomena
• Must have knowledge about sensors for capturing sound, image and psychophysiological data

Skills

• Must be able to perform microphone calibration
• Must be able to perform camera calibration
• Must be able to collect human psychophysiological data

Competences

• Must be able to analyze a specific problem and based upon this select an appropriate sensor to capture sound, image or psychophysiological data
• Must have competencies in understanding the strengths and weaknesses of different sensors in relation to a specific problem

Type of instruction

The course will be taught through a combination of lectures, demonstrations, and exercises/problem sets.

Exam

Prerequisite for enrollment for the exam

• Submission of a mini project

Exams