Computer System Architecture (3rd Edition)

Description

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.

Key Features

• New chapters on Introduction to architecture and Peripheral devices
• New sections on master-slave flip flop, counters, code converters, and horizontal and vertical microprogramming
• Introduces Multibus organization, memory addressing and memory technology
• Expanded discussion on pipelining, parallelism, and Amdahl’s law
• Over 150 new multiple choice questions and updated exercise problems”
• First Things First Chapter: This new chapter provides an orientation that helps students understand the
• importance of business statistics and get ready to use Microsoft Excel even before they obtain a full copy of this book
• Getting Ready to Analyze Data in the Future: This newly expanded version of Chapter 17 adds a second
• Using Statistics scenario that serves as an introduction to business analytics methods. That introduction, in turn, explains several advanced Excel features while familiarizing students with the fundamental concepts and vocabulary of business analytics.
• Expanded Excel Coverage: Workbook instructions replace the In-Depth Excel instructions in the Excel Guides and discuss more fully OS X Excel (“Excel for Mac”) differences when they occur
• In the Worksheet Notes that help explain the worksheet illustrations that in-chapter examples use as model solutions
• Many More Exhibits: Stand-alone summaries of important procedures that serve as a review of chapter passages. Exhibits range from identifying best practices, such “Best Practices for Creating Visualizations” in Chapter 2, to serving as guides to data analysis such as the pair of “Questions to Ask” exhibits in Chapter 17.
• New Visual Design: This edition uses a new visual design that better organizes the chapter content and provides a more uncluttered, streamline presentation.

Table of Contents

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)