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"Computer Science Applications: Object Oriented Programming "is a comprehensive anthology of reference articles for first and second semester Computer Science courses. These articles, drawn from a wide variety of sources and experiences, include detailed discussions, explanations and examples that deliver an engaging learning experience for students. Using high-level concepts, rather than simply focusing on the syntax of Java, this text delivers a complete and in-depth coverage of all the essential topics typically found in the CS1 and CS2 syllabi."Computer Science Applications" is divided into seven sections, each prefaced by an overview of the topic:
Joslyn A. Smith graduated from The Mico Teachers' College, Jamaica, in 1973. He furthered his studies at Central Connecticut State University, USA, where he earned his BS and MS degrees in Mathematics in 1983. He also earned an MS degree in Computer Science from the University of New Brunswick, Canada in 1994. Mr. Smith then joined the staff at the University of the West Indies, Jamaica where he lectured in Computer Science for 14 years. He currently teaches Computer Science at Florida International University (FIU).
Services requiring parts has become a $1.5 trillion business annually worldwide, creating a tremendous incentive to manage the logistics of these parts efficiently by making planning and operational decisions in a rational and rigorous manner. This book provides a broad overview of modeling approaches and solution methodologies for addressing service parts inventory problems found in high-powered technology and aerospace applications. The focus in this work is on the management of high cost, low demand rate service parts found in multi-echelon settings.
This unique book, with its breadth of topics and mathematical treatment, begins by first demonstrating the optimality of an order-up-to policy or (s-1, s)] in certain environments. This policy is used in the real world and studied throughout the text. The fundamental mathematical building blocks for modeling and solving applications of stochastic process and optimization techniques to service parts management problems are summarized extensively. A wide range of exact and approximate mathematical models of multi-echelon systems is developed and used in practice to estimate future inventory investment and part repair requirements.
The text may be used in a variety of courses for first-year graduate students or senior undergraduates, as well as for practitioners, requiring only a background in stochastic processes and optimization. It will serve as an excellent reference for key mathematical concepts and a guide to modeling a variety of multi-echelon service parts planning and operational problems.
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