Transcript Courses 7s642 + 7y710

Built environment related
technology for health and
vitality
(7s642, 7y710, 7y750)
General introduction
September 5, 2006
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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
September 5, 2006
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Academic competences
1.
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6.
7.
Specific scientific knowledge
Research competent
Design competent
Scientific approach
Basic intellectual skills
Co-operation and communication
Temporal and social context
Source: Criteria for Academic Bachelor’s and Master’s curricula. 3TU; 2005
September 5, 2006
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3 Academic levels in technology
Towards BSc
Towards MSc
Towards PhD
‘leerling’
‘gezel’
‘meester’
Low complexity
High complexity, but
structured
Chaos
Risk avoidance
Risk minded
Risky: based on doubt
Optimization of
existing knowledge
Innovation
(new opportunities)
New knowledge
(unknown worlds)
Team worker
Leader
Thinker
Modelling reality
Understanding
reality
Beyond the known
Assessment of
usefulness
Scientific
assessment
Performs even
interdisciplinary research
Critical reflection
under supervision
Independent critical
reflection
Reflection as a major
methodology
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General academic competences in
technology
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?
September 5, 2006
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Course organisation
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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
September 5, 2006
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Assignment completion
Phase
Content
# Pages
# Points to be earned
0
Choosing assignment, formulating aim
1
1
1
Final methodology
3
2
2
Final background (extended
introduction) and timetable completion
5
3
3
Data collected and presented in tables
/ graphs, and text
10
5
4
Final report with discussion and
conclusions
15
9
15
20
Total
Note: Reports in A4, Arial pt 12, margin 2.5 cm; 13 points are needed to pass the course
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Assignment report
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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)
September 5, 2006
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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?
September 5, 2006
•
•
•
•
•
•
•
•
•
•
•
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)
JEMH van Bronswijk - TU/e www.phe.bwk.tue.nl
9
Sources for assignments
• Data mining in
Statline:
http://statline.cbs.nl/StatWeb/start.asp?lp=Search/Search
Eurostat:
http://epp.eurostat.ec.europa.eu/portal/page?_pageid=1090,1&_da
d=portal&_schema=PORTAL
Other databases
• Library search systems
http://w3.tue.nl/nl/diensten/bib/digibib/zoeksystemen/a_z/
• Reading lists
• Data collection
September 5, 2006
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Reading lists
• General competences
• Built environment aspects
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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
September 5, 2006
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