Computer System Architecture
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TextPublication details: Noida Pearson 2022Edition: 3rd RevDescription: xxvii, 586pISBN: - 9789332585607
- 004.22 MAN
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Pearson presents the much-awaited revised edition of its pioneer title on Computer System Architecture by Morris Mano.This revised text is spread across fifteen chapters with substantial updates to include the latest developments in the field. The first eight chapters of the book focuses on the hardware design and computer organization, while the remaining seven chapters introduces the functional Units of digital computer. The pedagogy of the book has been enhanced to enable the learners in assessing their understanding of the key concepts.The plan for this revised edition has been thoroughly reviewed by eminent faculties of various technical universities across the country and their inputs have been incorporated to enhance the contents of this edition.Features1. New chapters on Introduction to architecture and Peripheral devices2. New sections on master-slave flip flop, counters, code converters and horizontal and vertical microprogramming3. Introduces Multibus organization, memory addressing and memory technology4. Expanded discussion on pipelining, parallelism and Amdahl’s law5. Over 150 new multiple choice questions and updated exercise problemsTable of ContentsIntroduction Digital Logic circuitsDigital ComponentsData RepresentationRegister Transfer and Micro operationsBasic computer organization and designProgramming the Basic ComputerMicroprogrammed ControlCentral Processing Unit Pipeline and Vector ProcessingComputer ArithmeticInput-Output OrganizationMemory OrganizationMultiprocessorsPeripheral Devices
Introduction
Digital Logic circuits
Digital Components
Data Representation
Register Transfer and Microoperations
Basic computer organization and design
Programming the Basic Computer
Microprogrammed Control
Central Processing Unit
Pipeline and Vector Processing
Computer Arithmetic
Input-Output Organization
Memory Organization
Multiprocessors
Peripheral Devices
"First Things First
1 Defining and Collecting Data
2 Organizing and Visualizing Variables
3 Numerical Descriptive Measures
4 Basic Probability
5 Discrete Probability Distributions
6 The Normal Distribution and Other Continuous Distributions
7 Sampling Distributions
8 Confidence Interval Estimation
9 Fundamentals of Hypothesis Testing: One-Sample Tests
10 Two-Sample Tests
11 Analysis of Variance
12 Chi-Square Tests and Nonparametric Tests
13 Simple Linear Regression
14 Introduction to Multiple Regression
15 Multiple Regression Model Building
16 Time-Series Forecasting
17 Getting Ready To Analyze Data In The Future
18 Statistical Applications in Quality Management (online)
19 Decision Making (online)

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