6.004 Computation Structures, Fall 2002
Name
6-004Fall-2002/OcwWeb/Electrical-Engineering-and-Computer-Science/6-004Computation-StructuresFall2002/CourseHome/index.htm
Size
17.84 KB
Format
HTML
Checksum (MD5)
776f48dd960753175f9cca0369221a10
Author(s)
Ward, Stephen A.
Terman, Christopher Jay
Pratt, Gill A.
Alternative Title
Computation Structures
Date Issued
December 2002
Abstract
Introduces architecture of digital systems, emphasizing structural principles common to a wide range of technologies. Multilevel implementation strategies; definition of new primitives (e.g., gates, instructions, procedures, and processes) and their mechanization using lower-level elements. Analysis of potential concurrency; precedence constraints and performance measures; pipelined and multidimensional systems. Instruction set design issues; architectural support for contemporary software structures. From the course home page: Course Description 6.004 offers an introduction to the engineering of digital systems. Starting with MOS transistors, the course develops a series of building blocks - logic gates, combinational and sequential circuits, finite-state machines, computers and finally complete systems. Both hardware and software mechanisms are explored through a series of design examples. 6.004 is required material for any EECS undergraduate who wants to understand (and ultimately design) digital systems. A good grasp of the material is essential for later courses in digital design, computer architecture and systems. Before taking 6.004, students should feel comfortable using computers; a rudimentary knowledge of programming language concepts (6.001) and electrical fundamentals (6.002) is assumed.
Subjects
computation
computation structure
primitives
gates
procedures
processes
concurrency
instruction set design
software structure
digital system
MOS transistor
logic gate
combinational circuit
finite-state machines
sequential circuit
computer architecture
programming
RISC processor
instructions
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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