252-0312-00L Ubiquitous Computing
Semester | Spring Semester 2020 |
Lecturers | C. Holz, F. Mattern, S. Mayer |
Periodicity | yearly recurring course |
Language of instruction | English |
Courses
Number | Title | Hours | Lecturers | ||||
---|---|---|---|---|---|---|---|
252-0312-00 V | Ubiquitous Computing | 2 hrs |
| C. Holz, F. Mattern, S. Mayer | |||
252-0312-00 A | Ubiquitous Computing | 1 hrs | C. Holz, F. Mattern, S. Mayer |
Catalogue data
Abstract | Unlike desktop computing, ubiquitous computing occurs anytime and everywhere, using any device, in any location, and in any format. Computers exist in different forms, from watches and phones to refrigerators or pairs of glasses. Main topics: Smart environments, IoT, mobiles & wearables, context & location, sensing & tracking, computer vision on embedded systems, health monitoring, fabrication. |
Learning objective | Unlike desktop computing, ubiquitous computing occurs anytime and everywhere, using any device, in any location, and in any format. Computers exist in different forms, from watches and phones to refrigerators or pairs of glasses. Main topics: Smart environments, IoT, mobiles & wearables, context & location, sensing & tracking, computer vision on embedded systems, health monitoring, fabrication. |
Lecture notes | Copies of slides will be made available |
Literature | Will be provided in the lecture. To put you in the mood: Mark Weiser: The Computer for the 21st Century. Scientific American, September 1991, pp. 94-104 |
Performance assessment
Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
ECTS credits | 4 credits |
Examiners | C. Holz, F. Mattern, S. Mayer |
Type | end-of-semester examination |
Language of examination | English |
Repetition | The performance assessment is only offered at the end after the course unit. Repetition only possible after re-enrolling. |
Additional information on mode of examination | For a bonus towards the final grade, the course will contain two optional assignments that are based on the contents taught in class. In the first assignment, students will work on a dataset of physiological signals. In the second assignment, groups of students will come up with a short proposal of a ubiquitous sensing device that tackles a problem of their choosing. In each assignment, students can obtain a bonus of 0.125 for a total possible bonus of 0.25 at the end of the term. In the first assignment, the bonus will be allotted based on the prediction accuracy achieved by the solution in 4 possible steps. In the second assignment, the bonus will be awarded based on the completeness of the proposal, including specification, feasibility, physiological reasoning, and presentation, again in 4 possible steps. |
Learning materials
Main link | Information |
Only public learning materials are listed. |
Groups
No information on groups available. |
Restrictions
There are no additional restrictions for the registration. |