Neuro-ergonomics

Uitgebreide vaknaam	Neuro-ergonomics
Leerdoelen	At the end of this course, the student is able to: - correctly summarize and explain specified neuro-ergonomic scientific literature. - search and compile original source material on neuro-ergonomic topics. - synthesize a coherent topic from this literature and present it. - critically evaluate this literature in an open discussion, and to reflect on this.
Omschrijving	Neuroergonomics combines the disciplines of neuroscience and human factors to inform the design of technologies in the workplace and home, and to provide new training methods that enhance performance, expand capabilities, and optimize the fit between people and technology. This course will explore neuroergonomic approaches to such topics as mental workload, visual attention, working memory, motor control, adaptive automation, and advanced prosthetics.
Uren per week
Onderwijsvorm	Bijeenkomst (S), Werkcollege (T) ((See comments below for details on the format of this course.))
Toetsvorm	Presentatie (P), Verslag (R) (20% Presentation, 80% Report (paper).)
Vaksoort	master
Coördinator	prof. dr. E.G. Akyürek
Docent(en)	prof. dr. E.G. Akyürek
Verplichte literatuur	Titel Auteur ISBN Prijs Scientific literature (articles) is specified each year, which is available through the University Library.
Entreevoorwaarden	Mandatory: No prior knowledge is assumed. Please note that the student is expect to have a relevant BSc degree.
Opmerkingen	This course unit has a capacity limit. More information about capacity-limit courses can be found here. This course has an intended limit of 20 participants. Each of the lectures deals with a pre-selected topic, and is organized by the students themselves, in small groups. After the formal presentation, a content-driven discussion follows. This course format requires active participation of all students, and to that end mini-exams (on the papers due for that meeting) are taken at the start of each lecture. This course was registered last year with course code KIM.NE06
Opgenomen in	Opleiding Jaar Periode Type MSc Artificial Intelligence  (C - Elective Course Units) - semester II b keuze MSc Human Machine Communication  (B - Mandatory Course Units Cognitive Engineering) - semester II b verplicht CE MSc Human Machine Communication  (C - Elective Course Units) - semester II b keuze