In 1992-93, in the Department of Architecture of the 'School of Architecture and interior Design' at the University of Cincinnati, a curriculum committee was formed to review and modify the entire architecture curriculum. Since our profession and academia relate directly to each other, the author felt that while revising the curriculum, the committee should have factual information about CAD usage in the industry. Three ways to obtain such information were thought of, namely (1) conducting person to person or telephone interviews with the practitioners (2) requesting firms to give open- ended feed back and (3) surveying firms by sending a questionnaire. Of these three, the most effective, efficient and suitable method to obtain such information was an organized survey through a questionnaire. In mid December 1992, a survey was organized which was sponsored by the School of Architecture and Interior Design, the Center for the Study of the Practice of Architecture (CSPA) and the University Division of Professional Practice, all from the University of Cincinnati.

This chapter focuses on the results of this survey. A brief description of the survey design is also given. In the next section a few surveys organized in recent years are listed. In the third section the design of this survey is presented. The survey questions and their responses are given in the fourth section. The last section presents the conclusions and brief recommendations regarding computer curriculum in architecture.

In design search, design evolves from one state to another by exhaustively or heuristically applying proper rules. Each rule application involves, first, pattern-matching the antecedent of a rule to the current state and, second, transforming the matched portion of that state into the consequence of the rule. However pattern-matching techniques of current CAAD systems are still limited. In current CAAD systems, only those two squares can be dealt with by patternmatching for further development. However, a human designer can effortlessly recognize not only those two but other emergent subshapes, for example a smaller square in the middle where the two squares overlap and two L-shapes in the corners. Therefore a human designer can thoroughly deliberate all these alternatives before making a decision. In other words, human designer is capable of restructuring shapes in terms of emergent subshapes in any step of designing.

This study describes a system that has been developed to address a number of these issues. Based on research findings from the field of Artificial Intelligence which expounds on the need for multiple techniques to represent any complex area of knowledge, we have selected a particular approach that focuses on multiple techniques for design representation. We review this approach in depth by considering its many facets necessary when implementing a knowledge-based system. We then partially test the viability of this approach through a small case study, implementing a knowledge-based system for designing stairs. While this effort only deals with a small part of the total design process, it does explore a number of significant issues facing the development of computer-based design assistants, and suggests several techniques for addressing these concerns.