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Course module: 202001041
202001041
Smart Spaces Core
Course infoSchedule
Course module202001041
Credits (ECTS)15
Course typeStudy Unit
Language of instructionEnglish
Contact persondr.ir. B.J. van der Zwaag
E-mailb.j.vanderzwaag@utwente.nl
Lecturer(s)
PreviousNext 5
Lecturer
dr.ir. A. Chiumento
Lecturer
dr.ing. G. Englebienne
Examiner
dr.ing. G. Englebienne
Lecturer
dr.ir. J.A.M. Haarman
Examiner
prof.dr. P.J.M. Havinga
Academic year2021
Starting block
1A
RemarksB-TCS students register via Osiris; others contact modulesupport-tcs@utwente.nl. Minor students: register for the minor!
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
Aims
In this module students will learn the principles, concepts and techniques required to create and evaluate smart spaces. After the module, students are able to:
  • understand and explain and characterize principles of smart spaces and underlying methods and technologies
  • understand and explain basics principles of smart objects and (distributed) sensing
  • understand and explain basic principles of mobile and indoor localization
  • understand and explain basics principles of context awareness
  • understand and explain basic principles of intelligent interaction
  • apply the principles to create new smart objects and (distributed) sensing
  • apply the principles to design an accurate indoor localization system
  • apply the principles to design context inference algorithms
  • apply the principles to design smart interaction methods based on context
  • design and develop creative, useful, and efficient smart space solutions and services
  • structurally test, evaluate, and validate complex interactive smart spaces
  • describe design decisions, methodology, and results
  • project planning and management
  • perform fair and critical assessment and peer reviewing
Content
Smart spaces refer to environments such as apartments, offices, museums, hospitals, schools, malls, university campuses, and outdoor areas that are enabled for co-operation of smart objects and systems, and for ubiquitous interaction with frequent and sporadic visitors [1].

Prime business scenarios include smart retail environments and public areas providing better service to customers and citizens, and home and office environments making living and working more comfortable and efficient.

The basic principles, concepts, and techniques to be learnt are grouped into four themes, i.e., (i) smart objects and (distributed) sensing, (ii) distributed intelligence and context awareness, (iii) mobile and indoor localization, and (iv) smart interaction. Through lectures and study materials (MOOCs and articles), students will acquire deep understanding and knowledge of the required techniques and principles to create smart spaces. This knowledge will be put into practice during challenges, which in turn will prepare them for the final goal of the module, which is the realization of a smart space during the project weeks.

By focusing on the campus as a living lab, students are requested to generate ideas for creation of a smart space on the campus. The generated ideas will be evaluated in a panel to select the “best idea”.

[1] Home // EIT Digital
Assumed previous knowledge
Pre-requisite:
• Programing
• Writing reports
• Giving presentation
Module
Module 8B
Participating study
Bachelor Technical Computer Science
Required materials
Course material
Various research papers will be provided (via Canvas)
Course material
Various MOOCS will be provided (links will be provided via Canvas)
Recommended materials
-
Instructional modes
Assessment
Presence dutyYes

Final thesis
Presence dutyYes

Lecture
Presence dutyYes

Practical
Presence dutyYes

Presentation(s)
Presence dutyYes

Project supervised
Presence dutyYes

Project unsupervised
Presence dutyYes

Self study without assistance

Tutorial

Tests
Smart Spaces

Remark
2* written exams, 4*challenges, integration project, peer-reviews

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