AIMS AND CONTENT

LEARNING OUTCOMES

To provide the essential physiological background and knowledge of

– experimental methods

– computational tools

for the analysis of human movements, their neural correlates and other related aspects of human performance

TEACHING METHODS

Lectures, supervised lab activities

SYLLABUS/CONTENT

A. Human movement (wk 1)

B. Muscle mechanics and control (wk 2-3)

C. Single-joint neuromechanics (wk 4)

D. Multi-joint movements (wk 5-6)

E. Computational motor control (wk 7-8)

F. Motor learning (wk 9-10)

G. Movement kinetics (wk 11-12)

TEACHERS AND EXAM BOARD

Exam Board

VITTORIO SANGUINETI (President)

MAURA CASADIO

MARCO MASSIMO FATO

LESSONS

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Written exam (weight 50%)

Project work (weight 50%)

• Project work: develop a smartphone/tablet app for monitoring some form of user’s perceptual or motor performance

Exam schedule