Special Topics in Sports Engineering

2019-2020

Course Objective

After following this course, students should understand the complexity
of maximizing sports performance and the importance of the inclusion of
material – athlete interaction. More specifically, students should be:

-Familiar with the Power Equation concept and be able to apply this to
cycling;
-Have knowledge of methodological aspects of sports research, in
particular error propagation, man – machine interaction (closed loop
complexity), measurement techniques, internal and external validity.
-Have insight in the organizational and psychological complexities of
sports innovation.
-Able to measure key parameters needed for power equations, related to
their own field and have experience in the measurement of key parameters
in adjacent fields;
-Able to provide a cycling performance simulation programme with the
parameters necessary to evaluate performance on a realistic level;
-Able to collect and present to fellow group members, data on parameters
for such a simulation program.
-Present research findings through an individual portfolio, and a group
presentation/poster/brief oral.

Course Content

Special Topics in Sports Engineering is an inter-university course for
Master students in Mechanical Engineering, Movement Sciences, Sport
Sciences and other related MSc programmes. The course is organised as a
two-week intensive course, and comprises lectures, demonstrations,
practicals, hands-on research and a final field test. The course will be
taught by staff from Delft University of Technology, Sheffield Hallam
University and VU Amsterdam. The course is organised around a basic
theme relevant for sports engineering, but lectures will cover the
broader area of sports engineering, ranging from design to data science
techniques.

In 2019 – 2020 this theme will again be “Maximizing cycling
performance”. During the course students will work out what aspects
determine cycling performance, and collect data (through experiments or
literature research) that are needed to develop / feed a simulation
programme for the estimation of the optimal bike – rider combination and
the maximal performance humanly possible. The course’s final activity
will be a test ride to quantify the differences between actual
performance and predicted performance.

In this course, students will have to answer the question:

Given a particular bike, what will be your own predicted 1-k time and
how well does this match reality?

The prediction should be based on a power-based simulation model of
cycling and the relevant bike- and rider dependent parameters, which
have to be collected experimentally. The same does of course apply to
the measurement of “reality” ;-)

Answering this question will require insight in relevant parameters, but
also collecting these parameters, for each individual student with his
or her individual bike. The bike in question can be chosen freely and
might therefore be a top-end racing bike as well as your grand mothers
shopping bike …

Teaching Methods

Two weeks fulltime course

Method of Assessment

Portfolio:
1. Overview of scientific literature studied
2. Test results for at least one of the parameter collection experiments
3. Description of the parameter collection experiment
4. Printout of the presentation to the
5. The final simulation model

Entry Requirements

Basic knowledge of Matlab
The course covers most of the theory that is also taught in Energy Flow
Models, be it in a more practical form. Some students experience the
course contents as a repeat of EFM.

In 2019 - 2020 the course wil probably be extended with a design
assignment, aimed at designing an improvement for training, performance
or other aspects of a maximal sport performance

Literature

Will be provided during the course

Target Audience

This course is intended for students interested in sports engineering
who have not followed the "energy flow models" course.

Additional Information

- This course is an interuniversity course given for both TU and VU
students: regular travel is thus required;
- The course is organised as a two-week intensive course. Full
availability during these two weeks is mandatory
- The maximum number of attendants = 20

Custom Course Registration

the number of places is limited (~20 for each university). Availability for the two-week period is obligatory although the program will not be complete filled for the period. Most of the lectures and practicals will be in Delft, with additional excursions to Alkmaar or Apeldoorn.

General Information

Course Code B_SPTOPICS
Credits 3 EC
Period P5
Course Level 500
Language of Tuition English
Faculty Fac. of Behavioural and Movement Science
Course Coordinator prof. dr. H.E.J. Veeger
Examiner prof. dr. H.E.J. Veeger
Teaching Staff prof. dr. H.E.J. Veeger

Practical Information

You need to register for this course yourself

Teaching Methods Seminar