Informationssammlung, Datenanalyse und Entwicklung eines Konzepts - das sind die wesentlichen Teilschritte der Definition eines architektonischen Problems, ob es sich nun um den Neubau eines Wohnhauses oder die Renovierung eines Bürogebäudes handelt. Und ein sorgfältig erstelltes Programm ist die Voraussetzung für den Erfolg eines jeden Projektes! Geschrieben von einer erfahrenen Designerin und Dozentin, behandelt dieses Buch im 1. Teil die theoretische und im 2. Teil die praktische Seite. Außerdem gibt es umfassende Informationen zu Techniken und neuen Entwicklungen (z.B. Videodatenanalyse) sowie praktische Tips und mehr als 200 Zeichnungen und Diagramme zur Veranschaulichung des Textes. (01/99)

A completely revised edition, offering new design recipes for interactive programs and support for images as plain values, testing, event-driven programming, and even distributed programming. This introduction to programming places computer science at the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process, presenting program design guidelines that show the reader how to analyze a problem statement, how to formulate concise goals, how to make up examples, how to develop an outline of the solution, how to finish the program, and how to test it. Because learning to design programs is about the study of principles and the acquisition of transferable skills, the text does not use an off-the-shelf industrial language but presents a tailor-made teaching language. For the same reason, it offers DrRacket, a programming environment for novices that supports playful, feedback-oriented learning. The environment grows with readers as they master the material in the book until it supports a full-fledged language for the whole spectrum of programming tasks. This second edition has been completely revised. While the book continues to teach a systematic approach to program design, the second edition introduces different design recipes for interactive programs with graphical interfaces and batch programs. It also enriches its design recipes for functions with numerous new hints. Finally, the teaching languages and their IDE now come with support for images as plain values, testing, event-driven programming, and even distributed programming.

Key ideas in programming language design and implementation explained using a simple and concise framework; a comprehensive introduction suitable for use as a textbook or a reference for researchers. Hundreds of programming languages are in use today—scripting languages for Internet commerce, user interface programming tools, spreadsheet macros, page format specification languages, and many others. Designing a programming language is a metaprogramming activity that bears certain similarities to programming in a regular language, with clarity and simplicity even more important than in ordinary programming. This comprehensive text uses a simple and concise framework to teach key ideas in programming language design and implementation. The book's unique approach is based on a family of syntactically simple pedagogical languages that allow students to explore programming language concepts systematically. It takes as premise and starting point the idea that when language behaviors become incredibly complex, the description of the behaviors must be incredibly simple. The book presents a set of tools (a mathematical metalanguage, abstract syntax, operational and denotational semantics) and uses it to explore a comprehensive set of programming language design dimensions, including dynamic semantics (naming, state, control, data), static semantics (types, type reconstruction, polymporphism, effects), and pragmatics (compilation, garbage collection). The many examples and exercises offer students opportunities to apply the foundational ideas explained in the text. Specialized topics and code that implements many of the algorithms and compilation methods in the book can be found on the book's Web site, along with such additional material as a section on concurrency and proofs of the theorems in the text. The book is suitable as a text for an introductory graduate or advanced undergraduate programming languages course; it can also serve as a reference for researchers and practitioners.

Architectural programming is the key to successful design. It is the crucial process of gathering, organizing, and assessing a client's building-use information. This process includes design concepts and program objectives ... staff and employee projections ... current and future space requirements ... adjacencies and relationships ... equipment and utility requirements ... project cost ... and more. This unique book and diskette provide architects, engineers, facilities managers, corporate and institutional administrators, and others with an effective method for gathering and assessing data needed to successfully design virtually any type of building - from office towers and educational facilities to laboratories and medical facilities.

The original program design text, this book is about programming for data processing applications, and it presents a coherent method and procedure for designing systems, programs, and components that are transparently simple and self evidently correct. The main emphasis is on the structure--on the dissection of a problem into parts and the arrangement of those parts to form a solution. Exercises and questions for discussion are given at the end of almost every chapter.

Strategies for building large systems that can be easily adapted for new situations with only minor programming modifications. Time pressures encourage programmers to write code that works well for a narrow purpose, with no room to grow. But the best systems are evolvable; they can be adapted for new situations by adding code, rather than changing the existing code. The authors describe techniques they have found effective--over their combined 100-plus years of programming experience--that will help programmers avoid programming themselves into corners. The authors explore ways to enhance flexibility by: Organizing systems using combinators to compose mix-and-match parts, ranging from small functions to whole arithmetics, with standardized interfaces Augmenting data with independent annotation layers, such as units of measurement or provenance Combining independent pieces of partial information using unification or propagation Separating control structure from problem domain with domain models, rule systems and pattern matching, propagation, and dependency-directed backtracking Extending the programming language, using dynamically extensible evaluators

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