For architecture students, a laboratory is seen as the most natural and productive way of learning about building construction. An introductory construction course at MIT is described that includes lectures, assigned readings, homework exercises, field trips to construction sites, and a weekly laboratory for hands-on experience. (MLW)

An approach to optimum building shape design is summarized that is based on local climate and is especially important for heat control in lower cost construction with temperature-responsive thermal characteristics. The study was supported by Istanbul Technical University. For journal availability see HE 508 931. (Author/LBH)

Current activity intended to lead to energy conservation measures in building codes and standards is reviewed by members of the Office of Building Standards and Codes Services of the National Bureau of Standards. For journal availability see HE 508 931. (LBH)

A first year building project of students of Yale School of Architecture is discussed. The program provides an opportunity for students to focus on a real client's aspirations and needs, as they are learning design skills. Client interaction is seen as a crucial aspect of architectural practice. (MLW)

The Total Studio, an ideal pedagogical construct, representing the holistic approach to architectural education is described. The design studio is seen as offering the best opportunity for teaching architecture and it is the only environment in which all aspects of architectural ideas and skills can be learned. (MLW)

Gaming-simulation in professional practice, education, and research is discussed. Simulation assists in exploring and resolving incongruent values and interests of clients, users, and architects; conveys complex interactive systems students are trying to understand; and elicits responses to alternative actions and contributes to theory development…

Operational gaming techniques that are permeating the architectural profession are used to: elicit user needs, represent architectural realities in the classroom, understand the rationale behind complex design decisions, and model decision environments at many levels with coarse or refined data. (MLW)