Course syllabus adopted 2023-02-15 by Head of Programme (or corresponding).
Overview
- Swedish nameDigitalisering inom sport: från fysik till innovation
- CodeTRA300
- Credits7.5 Credits
- OwnerTRACKS
- Education cycleSecond-cycle
- ThemeMTS 7.5 c
- DepartmentTRACKS
- GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Course round 1
- Teaching language English
- Application code 97163
- Open for exchange studentsYes
Credit distribution
Module | Sp1 | Sp2 | Sp3 | Sp4 | Summer | Not Sp | Examination dates |
|---|---|---|---|---|---|---|---|
| 0123 Project 7.5 c Grading: TH | 3.8 c | 3.7 c |
In programmes
- MPAEM - MATERIALS ENGINEERING, MSC PROGR, Year 2 (elective)
- MPAME - APPLIED MECHANICS, MSC PROGR, Year 2 (elective)
- TRACKS - TRACKS initiative, Year 1 (elective)
Examiner
- Dan Kuylenstierna
- Head of Unit, Microtechnology and Nanoscience
Eligibility
General entry requirements for Master's level (second cycle)Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Specific entry requirements
English 6 (or by other approved means with the equivalent proficiency level)Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Course specific prerequisites
In addition to the general requirements to study at advanced level at Chalmers, necessary subject or project specific prerequisite competences (if any) must be fulfilled. Alternatively, the student must obtain the necessary competences during the course. The examiner will formulate and check these prerequisite competences.The student will only be admitted in agreement with the examiner.
Aim
The aim of the course is to provide a platform to work and solve challenging cross-disciplinary authentic problems from different stakeholders in society such as the academy, industry or public institutions. Additionally, the aim is that students from different educational programs practice working efficiently in global multidisciplinary development teams.
The aim of this course is to introduce the students to digital technologies applied in sports and health promoting applications
Learning outcomes (after completion of the course the student should be able to)
- critically and creatively identify and/or formulate advanced architectural or engineering problems
- master problems with open solutions spaces which includes to be able to handle uncertainties and limited information.
- lead and participate in the development of new products, processes and systems using a holistic approach by following a design process and/or a systematic development process.
- work in multidisciplinary teams and collaborate in teams with different compositions
- show insights about cultural differences and to be able to work sensitively with them.
- show insights about and deal with the impact of architecture and/or engineering solutions in a global, economic, environment and societal context.
- identify ethical aspects and discuss and judge their consequences in relation to the specific problem
- orally and in writing explain and discuss information, problems, methods, design/development processes and solutions
- fulfill project specific learning outcomes
Course specific:
- explain how basic mechanical concepts such power, friction, balance of forces and conservation of linear and angular momentum and total energy can be used to study athletic performance.
- explain basic mechanical concepts of composite mechanics and how composite material characteristics can be beneficial in sports engineering
- explain basic mechanical concepts of loading rate-dependent (viscoelastic) materials and how they can be used for energy absorption in sports (impact, damping etc.)
- list concepts describing the societys digital transformation and be able to discuss its implication for humans
- describe main digital tools and techniques used for motion tracking in preventive health care and sport applications
- explain basic principles behind widely used sensor technologies.
- explain the principles of error propagation and assessment of measurement uncertainties
- describe some of the main concepts from artificial intelligence (AI), e.g., data-driven methods and machine learning
- describe some of the modern tools and sensors for interaction design such as virtual reality/augmented reality
- synthesize and apply knowledge, as specified in points 2-6 above, to tackle or master problems with open solution spaces
Content
Mechanical aspects important in sports (including solid mechanics, structural dynamics and bio-mechanics).Several examples of sensors and measurement data collected in the sport and health sectors are presented. In a problem-based learning environment we will get the chance to acquire new knowledge but also to apply previously acquired knowledge, e.g., in mechanics, electronics, physics, mathematics, and data science.
Sensor technologies covered include common commercial sensors, e.g., inertial measurement units (IMUs), photo-sensors, gps, and barometers available in modern consumer electronics such as smart phones, watches and other devices. Customized sensors integrated in equipment for sports or health care, e.g., strain-gauge sensors and load cells for registration of forces or various bioelectrical sensors are also covered.The part on data analysis covers firstly fundamental methods based on first principal calculus, but also more modern data driven methods and machine learning are covered. The students will be introduced to methods for error-propagation and with a clear focus on understanding the link between measured property and studied variable.
Finally, the students will be introduced to recent methods for user feedback and interaction design. Modern tools for virtual and augmented reality applications will be covered.
Organisation
The course is run by a teaching team.
The main part of the course is a challenge driven project. The challenge may range from being broad societal to profound research driven. The project task is solved in a group. The course is supplemented by on-demand teaching and learning of the skills necessary for the project. The project team will have one university examiner, one or a pole of university supervisors and one or a pole of external co-supervisors if applicable.
Tracks-theme: Health and sports technology
The bulk of the course is the project carried out in groups by the students under supervision and guidance of course teachers.
In addition to the project, ten two-hour lecture/tutorials will be arranged. The lectures can be physical or on-line.
Literature
Relevant literature is retrieved and acquired by the students as a part of the project.Examination including compulsory elements
The course will be examined based on- Project outcome, summarized in a written report as well as relevant demonstrator material in terms of hardware prototypes or software developed, 60%
- Learnings from lectures, examined in quizzes, 30%
- Students presentation skills assessed by the examiner and teachers in the course, 10%
The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.