Introduction to Computer Theory Daniel Cohen An easily comprehensible text for required undergraduate courses in computer theory. Thoroughly covers the three fundamental areas of computer theoryformal languages, automata theory, and Turing machines. It is an imaginative and pedagogically strong attempt to remove the unnecessary mathematical complications associated with the study of these subjects. The author substitutes graphic representation for mathematical proofs. Includes a large selection of well-thought-out problems at the end of each chapter. 1985 (0 471-80271-9) The Principles of Computer Organization With Assembly Language Programming for the PDP 11 G. Michael Schneider Designed for a one-semester course in computer organization, this text introduces the major large-scale functional components of the computermemory ALU, input-output, and processorhow each works, and their integration into a complete computer system. In addition to covering the general, machine-independent concepts of computer organization, it introduces a specific type of computer systemthe PDP 11. Most textbooks treat either general computer organizational concepts or a specific type of system. This book does both. 1985 (0 471-88552-5) The Design and Description of Computer Architecture Subrata Dasgupta The first systematic, extensive study of computer architecture as a design discipline. It focuses on the use of formal symbolic description as a basis for the specification and verification of computer architectures. This one-of-a-kind volume presents an in-depth study of high-level architectural and microprogramming languages, the characteristics and measurement of computational environments, and the identification and use of styles in architecture design and implementation. 1984 (0 471-89616-0)
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About the authors Milo D. Ercegovac is Professor of Computer Science at the University of California, Los Angeles. His research focuses on computer system design and architecture, and theory and practice of computer arithmetic and VLSI-oriented algorithms, high-speed computer organization, functional (applicative) languages and data-driven machines, and fault-tolerant building blocks. Dr. Ercegovac earned his PhD in computer science from the University of Illinois, Champaign-Urbana. Tomas Lang is Adjunct Associate Professor of Computer Science at the University of California, Los Angeles. Dr. Langs primary research and teaching interests are in digital design and computer architecture with emphasis on multiprocessors and architectural support for operating systems functions. He earned his PhD in electrical engineering from Stanford University.
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