GRE Computer Science

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The purpose of this book is to help Computer Science majors, or any one with a background in the field, to review all the material covered over the four years of College curriculum and what is expected on the GRE subject exam.

Contents 1 Software Systems And Methodology 1.1 Data Organization 1.1.1 Data Types 1.2 Program Control And Structure 1.3 Programming Languages And Notation 1.4 Software Engineering 1.5 Systems 2 Computer Organization And Architecture 2.1 Digital Logic Design 2.1.1 Combinational Circuits 2.2 Processors And Control Units 2.3 Memories And Their Hierarchies 2.4 Networking And Communications 2.5 High-Performance Architectures 3 Theory And Mathematical Background 3.1 Algorithms And Complexity 3.2 Automata And Language Theory 3.3 Discrete Structures 4 Other Topics

[edit] Software Systems And Methodology

[edit] Data Organization

[edit] Data Types

In computer programming, a data type is a classification of the type of information. A data type describes representation, interpretation and structure of values manipulated by algorithms or objects stored in computer memory or other storage device. Common types of data in programming languages include primitive types, tuples, records, algebraic data types, abstract data types, reference types, classes and function types.

[edit] Program Control And Structure

Iteration and recursion Procedures, functions, methods, and exception handlers Concurrency, communication, and synchronization

[edit] Programming Languages And Notation

[edit] Software Engineering

[edit] Systems

[edit] Computer Organization And Architecture

[edit] Digital Logic Design

[edit] Combinational Circuits

[edit] Processors And Control Units

[edit] Memories And Their Hierarchies

[edit] Networking And Communications

[edit] High-Performance Architectures

[edit] Theory And Mathematical Background

[edit] Algorithms And Complexity

[edit] Automata And Language Theory

[edit] Discrete Structures

[edit] Other Topics

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