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Built environment related technology for health and vitality 7s642, 7y710, 7y750

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Data collected and presented in tables / graphs, and text. 3. 3. 5 ... COPD & lung cancer. Mite and fungal allergies. Indoor environments ... – PowerPoint PPT presentation

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Title: Built environment related technology for health and vitality 7s642, 7y710, 7y750


1
Built environment related technology for health
and vitality (7s642, 7y710, 7y750)
  • General introduction

2
Specific scientific knowledge
  • 1st semester
  • 7s642 existing building stock
  • (Background current problems and factors of
    influence on health related to built
    environments)
  • 7y710 new building projects
  • (Background future problems, support needed to
    stay vital and productive)
  • 2nd semester
  • 7y750 home automation robotics
  • (Supportive technology on ICT basis, needs and
    abilities of residents and professionals in
    technology, services care)

Study load 3 ECTS for each course 7s642 7s710
may be combined to 6 ECTS
3
Academic competences
  • Specific scientific knowledge
  • Research competent
  • Design competent
  • Scientific approach
  • Basic intellectual skills
  • Co-operation and communication
  • Temporal and social context

Source Criteria for Academic Bachelors and
Masters curricula. 3TU 2005
4
3 Academic levels in technology
5
General academic competences in technology
6
Course organisation
  • Limited number of contact hours
  • Wednesday 7th-8th hour available for consultation
  • Self-teaching groups may be formed
  • Use the e-mail discussion list
  • 3 or 6 ECTS assignments to be completed in phases
  • An assignment-report template is available

7
Assignment completion
Note Reports in A4, Arial pt 12, margin 2.5 cm
13 points are needed to pass the course
8
Assignment report
  • Title authors affiliation
  • Abstract Executive summary ( title authors)
  • Introduction - Background
  • Aim
  • Methodology to reach the aim, validate the design
  • Results of research or design with validation
  • Discussion
  • Conclusion with generalisation limits
  • Acknowledgements
  • References
  • (Appendices)

9
Assessing MSc assignment
  • 1. English presentation skill verbal written
  • 2. SWOT analysis
  • 3. Structured, stepwise problem analysis
    problem segmentation
  • (what where when who/how why)
  • 4. Data collection
  • (observation, structured interview, dedicated
    questionnaire, written sources, physical
    measurements)
  • 5. Data mining or collection ? Information ?
    knowledge
  • 6. Risk assessment risk analysis distributing
    managing risks
  • 7. Choosing between interventions
    reproducibility of results hypothesis theory
  • (data collection statistics)
  • 8. Assessing probability of failure and success
  • (statistics)
  • 9. Quantifying failure consequences their
    probability
  • (statistics)
  • 10. Why will this design / process succeed? How
    to know when where?
  • 11. When or where will this design / process
    fail? How to know why?
  • Title authors affiliation
  • 1 Abstract Executive summary ( title
    authors)
  • 3 Introduction - Background
  • 3 Aim
  • 4/5 Methodology to reach the aim, validate the
    design
  • 6-9 Results of research or design with
    validation
  • 10/11 Discussion
  • 10/11 Conclusion with generalisation limits
  • Acknowledgements
  • References
  • (Appendices)

10
Sources for assignments
  • Data mining in
  • Statline http//statline.cbs.nl/StatWeb/s
    tart.asp?lpSearch/Search
  • Eurostat
  • http//epp.eurostat.ec.europa.eu/portal/page?_pag
    eid1090,1_dadportal_schemaPORTAL
  • Other databases
  • Library search systems
  • http//w3.tue.nl/nl/diensten/bib/digibib/zoeksyst
    emen/a_z/
  • Reading lists
  • Data collection

11
Reading lists
  • General competences
  • Built environment aspects
  • Accessibility assisting mobility
  • Epidemiology of health and disease
  • Gerontechnology Gerontology
  • COPD lung cancer
  • Mite and fungal allergies
  • Indoor environments
  • Bird flue, SARS other viral infections
  • Urban factors
  • ICT infrastructures
  • Ambient intelligence
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