'Central arkansas spring' diaporamas de présentation

Chapter

Chapter. Dr. Bernard Chen Ph.D. University of Central Arkansas Spring 2009. Purpose of This Chapter. In this chapter we introduce a basic computer and show how its operation can be specified with register transfer statements. . Instruction Codes. A process is controlled by a program

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Ch9 Reasoning in Uncertain Situations

Ch9 Reasoning in Uncertain Situations. Dr. Bernard Chen Ph.D. University of Central Arkansas Spring 2011. Outline . Reasoning in Fuzzy Sets Markov Models. Reasoning with Fuzzy Sets. There are two assumptions that are essential for the use of formal set theory:

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Chapter3 Limitations on Instruction-Level Parallelism

Chapter3 Limitations on Instruction-Level Parallelism. Dr. Bernard Chen Ph.D. University of Central Arkansas Spring 2010. Overcome Data Hazards with Dynamic Scheduling. If there is a data dependence, the hazard detection hardware stalls the pipeline

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Chapter 9 IF Statement

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Black Jack

Black Jack. Dr. Bernard Chen University of Central Arkansas Spring 2012. Class Goal. Upon completion of this course, you should be able to: Know how to play black jack ^^ Program a simple black jack game that you can share with someone you like .

482 views • 28 slides

Boolean Algebra

Boolean Algebra. Dr. Bernard Chen Ph.D. University of Central Arkansas Spring 2009. LOGIC GATES. Formal logic : In formal logic, a statement (proposition) is a declarative sentence that is either true(1) or false (0). It is easier to communicate with computers using formal logic.

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Chapter 4 Register Transfer and Microoperations

Chapter 4 Register Transfer and Microoperations . Dr. Bernard Chen Ph.D. University of Central Arkansas Spring 2009. Outline. Bus Transfer Memory Transfer Microoperations. This Chapter contains. A basic computer: 1. The set of registers and their functions;

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Ch.12 Machine Learning Genetic Algorithm

Ch.12 Machine Learning Genetic Algorithm. Dr. Bernard Chen Ph.D. University of Central Arkansas Spring 2011. Genetic Algorithm (GA). GA view learning as a competition among a population of evolving candidate problem solutions.

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Combinational Circuits

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