CM2001 Mobile Sports Applications and Data Mining 6.0 credits
Mobila applikationer och dataanalys för idrott
Education cycleSecond cycle
Main field of studyMedical Engineering
Grading scaleA, B, C, D, E, FX, F
Spring 20 P4 (6.0 credits)
Language of instruction
Form of study
Number of places
Part of programme
Intended learning outcomes
After successful completion of the course the student will be able to:
· design and develop applications for mobile devices, both self-contained and those that communicate over networks, including the ability to consider hardware and network limitations during design
· develop usage-tailored user interfaces for mobile devices and judge whether they are sufficiently functional for their intended use.
· develop mobile phone software that uses both internal and external sensors, such as GPS, accelerometer, wearables, and camera.
· describe several cloud and messaging services for mobile devices in connection with data analysis for sports and health applications.
· apply existing data analysis methods on sensor data to find patterns and insights for sports and health
For higher grades it is also required that the student
• has the ability to explain, analyze, and critically evaluate some recent trends within the area of mobile applications for sports and health
• demonstrate a large degree of independence and ability to present one’s own work
Course main content
This is a practically oriented course in the development of mobile applications, including data mining techniques, for sports and health. The following topics are included in the course:
· How mobile applications can be used in sports and health.
· Common mobile platforms, such as smartphones, tablets, smart watches and bracelets, and wearables.
· Hardware, operating systems, and development tools for mobile platforms as well as API:s for third party tools.
· Mobile application programming:
o Application components
o User interfaces
o Handling of persistent data
o Sensors in mobile devices
- Platform-independent development
- Cloud and messaging services for mobile systems
- The usage of camera for video analysis
Knowledge in Object Oriented Programming corresponding to the course HI1027.
Course literature will be announced in the course PM.
- LAB1 - Laboratory work, 2.0, grading scale: P, F
- LAB2 - Laboratory work, 2.0, grading scale: A, B, C, D, E, FX, F
- RED1 - Account, 2.0, grading scale: A, B, C, D, E, FX, F
CBH/Biomedical Engineering and Health Systems
Course syllabus valid from: Autumn 2019.
Examination information valid from: Autumn 2019.