NTUST Aug 2010

Architectural engineering is a multidisciplinary subject area with increasing research and technology development activities in recent years. The research activities generated information on the engineering and technical issues concerning all aspects of building design, such as planning and financing, analysis and design, construction and maintenance, codes applications and interpretations, conversion and renovation, and preservation. This lecture outlines, with some application examples of research problems in the architectural engineering, applications of simple statistics on handling data in all forms from experiments, observations, records and surveys. With illustrative real life research examples in the area, this lecture addresses ‘How the world can be described by statistical language?’ and ‘What basic statistic concepts are required for research studies?’. Topics such as common statistical tests, hypothesis, significance, correlation, regression are discussed. Hand-on spreadsheet examples are included.