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Technology in Sport and Health Science - a cross-disciplinary approach
Provider: Faculty of Science

Activity no.: 5496-21-06-31 
Enrollment deadline: 15/10/2021
PlaceDepartment of Nutrition Exercise and Sports
Date and time15.11.2021, at: 08:30 - 19.11.2021, at: 16:00
Regular seats30
ECTS credits3.50
Contact personMie Bendtsen    E-mail address: mbendtsen@nexs.ku.dk
Enrolment Handling/Course OrganiserNikolai Baastrup Nordsborg    E-mail address: nbn@nexs.ku.dk
Written languageEnglish
Teaching languageEnglish
Exam requirementsThe course assessment is 'passed / not-passed' based on course participation and presentations of assignments.
Exam detailsAfter the course: Evaluation: 1 h.
Grading scalePassed / Not passed
Course workload
Course workload categoryHours
Preparation31.00
Preparation of presentation8.00
Attendance45.00
Assignments5.00
Evaluation1.00

Sum90.00


Content

Sport, exercise and health is facing a digital disruption. Data have invaded every area of our lives - including sport, exercise and health activities. The international market for wearables and sports technology was estimated to be worth 56 billion DKK in 2018 and is expected to increase to ~195 billion DKK in 2024. This emphasize the rapidly growing market and potential. The vast majorities of current technologies measure one or few variables and provide the user with the results. Embedded accelerometers and GPS provide valuable information on our power, speed, direction, step count etc. Likewise, peripheral sensors measure physiological parameters such as heart rate, oxygen saturation and blood pressure. However, what is measured, result interpretation, validity, accuracy and user experience is often not based on existing research but on expected market potential.

The PhD course will provide the future researchers in the areas of health, performance, modelling, software design etc. with state-of-the-art knowledge to bridge the gap between current technological endavours and the needs of the future. Themes include physiological systems, sensors, algorithms, AI, user experience etc. In addition, the course aims to provide synergies created with interested shareholders including elite sports organizations, physicians and the industry.

The preliminary course program can be downloaded here.

The final program, list of literature and practical information will be e-mailed to all course participants approx 2 weeks before the course.


Learning outcome
• Meaningful monitoring of physiological parameters
• Available sensor technologies
• The students will be engaged in discussions of current and future possibilities of assessing relevant health outcomes based on knowledge of existing and new state-of-the-art methods. Finally, to support the innovative potentials between Danish universities and the industry, a network-event with current companies involved in the creation of novel devices will be held during the course.

Lecturers

Guest lecturers:
Professor Peter Bøggild, DTU, Denmark
Professor Steven Vos, Eindhoven University of Technology, The Netherlands

Lecturers from the University of Copenhagen:
Professor Nikolai Nordsborg, Department of Nutrition, Exercise and Sports
Assistant Professor Stefano De Dominicis, Department of Nutrition, Exercise and Sports
Assistant Professor Joanna Bergström, Department of Computer Science
Journalist Jes Andersen, Copenhagen Science City
Special consultant Liv Søndergaard Thomsen, Technology Transfer Office


Workload
Preparation: Reading course curriculum: 31 h
Prepare course presentation: 8 h
During the course:
Attendance: 5 x 9 h = 45 h
Data treatment & group assignment outside course hours: 5 h
After the course: Evaluation: 1 h

Remarks

How to apply for enrolment to the course:

To enroll, please:
1) Click "Apply" and fill in the requested data (deadline: 15 October 2021).
2) You will recieve a short questionnaire by e-mail, which you are asked to respond to (deadline 15 October 2021).
3) The course responsible will review your information. Succesfull applicants will be notified about final enrollment by 22 October the latest.

Acceptance to PhD course:
Applicants will be informed of their acceptance to the course by 22 October 2021 the latest.

Waiting list:
If the PhD course is oversubscribed, it is possible to be assigned to a waiting list.

Course fee:
There is no course fee, but course participants are expected to pay for their own travel, accommodation and lunch during the course. Coffee/tea and snacks during breaks will be supplied by the course.


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All planned PhD courses at the PhD School are visible in the course catalogue. Courses are published regularly.