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. It will highlight how existing and emerging knowledge of human performance and brain function can be used to design systems for safer and more efficient operation and to aid understanding of human brain function in relation to cognitive processes and performance in real-world tasks.
Uren per week
Onderwijsvorm	Bijeenkomst (S), Opdracht (ASM), Werkcollege (T) ((See comments below for details on the format of this course.))
Toetsvorm	Opdracht (AST), Presentatie (P) (Grading is done as follows: 1) Assessment of the quality of the presentation on one of the specific topics, and that of the discussion questions. This results in a collective Fail/Pass/Merit grade. 2) The quality of the paper written on one of the topics selected for this course. This results in a numerical grade (1-10).)
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 expected to have a relevant BSc degree.
Opmerkingen	Each of the meetings deals with a pre-selected topic, and is organized by the students themselves, who take turns in doing so. In each meeting, a small group of students gives a presentation on the selected topic, after which a content-driven discussion with the audience follows. Note that this course format requires active participation by all students, in all meetings. The students in the presentation group are asked to prepare the presentation based on the two core papers that are selected for the topic, as well as on additional sources they can find themselves. All students in the audience are asked to read two core scientific articles for each meeting, and prepare two discussion questions about them. 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.
Opgenomen in	Opleiding Jaar Periode Type MSc Artificial Intelligence  (C - Elective Course Units) - semester II b keuze MSc Human Machine Communication - per 21-22 Computational Cognitive Science  (C - Elective Course Units) - semester II b keuze MSc Human Machine Communication - per 21-22 Computational Cognitive Science  (B - Mandatory Course Units Cognitive Engineering) - semester II b verplicht CE