CSB523 Podiatric Clinical Gait Analysis

[object Object] {"attributes":{"LEW3FAC":"Late Enrolment - Available for enrolment Week 3 - faculty approval required","BLUCRD":"Blue Card","CANA":"Class Allocation - Not Available"},"study-types":[],"availabilities":[{"study-mode":"All","attendance-mode":"Internal","location":"Kelvin Grove","campus":"Kelvin Grove","study-period":"Semester 1","date-end":"2025-06-20T14:00Z","date-start":"2025-02-23T14:00Z","year":2025}],"broad-study-area":{"name":"Health","foe":61713},"code":"CSB523","credit-points":12,"fees":[{"csp":"$1,164","dom":"$4,356","int":"$5,352","year":2025}],"faculty":{"code":490100,"title-short":"Faculty of Health","title-full":"Faculty of Health"},"school-discipline":{"code":490500,"title-short":"Clinical Sciences","title-full":"School of Clinical Sciences"},"unit-requisites":{"equiv":"PUB362","pre":"LSB235"},"sams-version":1,"summer":[],"synopsis":"The evidence provided by gait analysis technology is quantitative and facilitates sound clinical decision making. In order to select and evaluate appropriate treatment interventions it is necessary to measure gait and determine musculoskeletal and neurological factors that influence foot and leg disorders. The process of collection, selection, processing and case evaluation of gait analysis data is therefore fundamental and underpins the greater part of podiatry practice. It is important that these skills are acquired early in the course.","title-full":"CSB523 Podiatric Clinical Gait Analysis","title-short":"Podiatric Clinical Gait Analysis","url":{"current":"https://qutvirtual4.qut.edu.au/group/student/enrolment/units/unit?unitCode=CSB523&year=2025","prospective":"https://www.qut.edu.au/study/unit?unitCode=CSB523","timetable":"https://qutvirtual3.qut.edu.au/qvpublic/ttab_unit_search_p.process_teach_period_search?p_unit_cd=CSB523"},"year":2025,"years":[2025]}