Mobile and Wearable Computing
People
Description
COURSE OBJECTIVES
This course provides both in-depth knowledge and a critical understanding of mobile and wearable computing systems. After attending the course, students should be able to design and prototype services and applications for mobile and wearable devices.
COURSE DESCRIPTION
The widespread use of mobile and wearable devices such as mobile phones and smart watches enables the implementation of novel services in applications areas like mobile health, smart working, and more. This course presents the building blocks of such services and discusses the challenges that arise on the path towards their realization. Specific topics covered include: hardware platforms; programming environments and tools; the collection and processing of sensor data; the design of mobile user interfaces; local and remote data storage; privacy and security issues.
LEARNING METHODS
The course includes instructor-led lectures, interactive discussion sessions and tutorial sessions during which students will learn how to design and implement Android applications.
EXAMINATION INFORMATION
The final grade will result from a combination of the grade obtained through the final exam and the grades of the assignments and the programming project carried out during the semester.
REFERENCES
- References will be provided during the semester, along with lecture slides and other reading materials.
Education
- Master of Science in Artificial Intelligence, Elective course, Lecture, 1st year
- Master of Science in Artificial Intelligence, Elective course, Lecture, 2nd year
- Master of Science in Economics in Finance, Elective course, Minor in Digital Finance, 2nd year
- Master of Science in Financial Technology and Computing, Elective course, Lecture, 2nd year
- Master of Science in Informatics, Elective course, Lecture, 1st year
- Master of Science in Informatics, Elective course, Lecture, 2nd year
- Master of Science in Management and Informatics, Elective course, Lecture, 2nd year
- Master of Science in Software & Data Engineering, Elective course, Lecture, 1st year
- PhD programme of the Faculty of Informatics, Elective course, Lecture, 1st year (4.0 ECTS)
- PhD programme of the Faculty of Informatics, Elective course, Lecture, 2nd year (4.0 ECTS)