Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

252-0312-00L  Ubiquitous Computing

SemesterSpring Semester 2020
LecturersC. Holz, F. Mattern, S. Mayer
Periodicityyearly recurring course
Language of instructionEnglish



Catalogue data

AbstractUnlike 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.
ObjectiveUnlike 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 notesCopies of slides will be made available
LiteratureWill 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 credits4 credits
ExaminersC. Holz, F. Mattern, S. Mayer
Typeend-of-semester examination
Language of examinationEnglish
RepetitionThe performance assessment is only offered at the end after the course unit. Repetition only possible after re-enrolling.
Additional information on mode of examinationFor 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 linkInformation
Only public learning materials are listed.

Courses

NumberTitleHoursLecturers
252-0312-00 VUbiquitous Computing2 hrs
Tue10-12CAB G 51 »
C. Holz, F. Mattern, S. Mayer
252-0312-00 AUbiquitous Computing1 hrsC. Holz, F. Mattern, S. Mayer

Groups

No information on groups available.

Restrictions

There are no additional restrictions for the registration.

Offered in

ProgrammeSectionType
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Cyber Security MasterElective CoursesWInformation
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Doctoral Dep. of Information Technology and Electrical EngineeringDoctoral and Post-Doctoral CoursesWInformation
Electrical Engineering and Information Technology MasterSpecialization CoursesWInformation
Electrical Engineering and Information Technology MasterRecommended SubjectsWInformation
Computer Science MasterFocus Elective Courses Information SystemsWInformation
Computer Science MasterElective Focus Courses General StudiesWInformation
Computer Science MasterFocus Elective Courses Distributed SystemsWInformation
Computational Science and Engineering BachelorElectivesWInformation
Computational Science and Engineering MasterElectivesWInformation
Science, Technology, and Policy MasterData and Computer ScienceWInformation