Syllabus

Ubiquitous Computing, 7.5 Credits

Ubiquitous Computing, 7.5 hp

Credit points: 7.5 Credits
Course code: 5DV024
Responsible department: Department of Computing Science
Date of establishment: 2007-11-12
Established by: teknisk-naturvetenskapliga fakultetsnämnden
Revised: 2011-06-15
Valid from: 2011-06-13
Level: Advanced level
Main Field of Study and progress level:
Computing Science: second cycle, has only first-cycle course/s as entry requirements
Grading scale:

5 Pass with distinction, 4 Pass with merit, 3 Pass, VG Pass with distinction, G Pass , U Fail

Contents

The goal of the course is to give knowledge about existing theoretical and practical requirements for the development of interactive (ubiquitous computing) environments where physical and virtual objects cooperate and communicate visibly and invisibly in order to facilitate human activity. The student will acquire knowledge about main research themes and experimental practices in the field of ubiquitous computing as well as develop her/his skills in constructing ubiquitous computing applications.

Expected learning outcomes

Required Knowledge

Univ:To be addmited you must have 60 ECTS-credits in Computing Science or 2 years of completed studies, in both cases including Interaction Techniques, (5DV112) and Computer Networks, (5DV013) or equivalent. Proficiency in English equivalent to Swedish upper secondary course English A (IELTS (Academic) with a minimum overall score of 5.5 and no individual score below 5.0. TOEFL PBT (Paper-based Test) with a minimum total score of 530 and a minimum TWE score of 4. TOEFL iBT (Internet-based Test) with a minimum total score of 72 and a minimum score of 17 on the Writing Section). Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.

Form of instruction

Examination modes

Other regulations

Literature

Valid from: 2011 week 24

Material som tillhandahålls av institutionen/Material provided by the department
Inst för datavetenskap/Dept. of Computing Science :
Mandatory


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2011-03-15

Contact Information

Link to the course web page

Web Page

Department of Computing Science

Web Page

Contact:
Yvonne Löwstedt

Tel: +46 90 786 5598

Fax: +46 90 786 61 26

Contact Form