Title: Built environment related technology for health and vitality 7s642, 7y710, 7y750
1Built environment related technology for health
and vitality (7s642, 7y710, 7y750)
2Specific 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
3Academic 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
43 Academic levels in technology
5General academic competences in technology
6Course 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
7Assignment completion
Note Reports in A4, Arial pt 12, margin 2.5 cm
13 points are needed to pass the course
8Assignment 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)
9Assessing 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)
10Sources 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
11Reading 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