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Built environment related technology for health and vitality (7s642, 7y710, 7y750) General introduction September 5, 2006 JEMH van Bronswijk - TU/e www.phe.bwk.tue.nl 1 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 JEMH van Bronswijk - TU/e www.phe.bwk.tue.nl 2 Academic competences 1. 2. 3. 4. 5. 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 JEMH van Bronswijk - TU/e www.phe.bwk.tue.nl 3 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 September 5, 2006 JEMH van Bronswijk - TU/e www.phe.bwk.tue.nl 4 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 JEMH van Bronswijk - TU/e www.phe.bwk.tue.nl 5 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 September 5, 2006 JEMH van Bronswijk - TU/e www.phe.bwk.tue.nl 6 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 September 5, 2006 JEMH van Bronswijk - TU/e www.phe.bwk.tue.nl 7 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) September 5, 2006 JEMH van Bronswijk - TU/e www.phe.bwk.tue.nl 8 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 JEMH van Bronswijk - TU/e www.phe.bwk.tue.nl 10 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 September 5, 2006 JEMH van Bronswijk - TU/e www.phe.bwk.tue.nl 11