Presents an elementary introduction to probability and mathematical finance. This book details discrete derivative pricing models, culminating in a derivation of the Black-Scholes option pricing formulas as a limiting case of the Cox-Ross-Rubinstein discrete model. It examines American options and the Capital Asset Pricing Model.

This volume takes the reader behind the details of the interface, focusing on the general knowledge necessary for Access power users or developers to create effective database applications. The main sections of this book include: database design, queries, and programming.

Delving into VBA programming, this text explains how to use VBA to automate many tedious, repetitive jobs using Microsoft Word. Included is information on how to: create custom pop-up menus; automatically create tables from lists; and generate reports using data from other applications.

This title offers the convenience of a quick reference in a small and convenient format. The guide presents syntax and brief descriptions of each Visual Basic .NET language element.

Updated for Excel 2002, this text offers Excel power-users, as well as programmers who are unfamiliar with the Excel object model, with an introduction to writing Visual Basic for Applications (VBA) macros and programs for Excel.

Assuming a basic knowledge of probability and modern algebra, this book gives an introduction to information and coding theory at the graduate or advanced undergraduate level. It describes the fundamental issues involved in these subjects.

Intended for graduate courses or for independent study, this book presents the basic theory of fields. The first part discusses polynomials over a ring, the division algorithm, irreducibility, field extensions, and embeddings. The second part is devoted to Galois theory and the third part treats the theory of binomials.

Provides an introduction to coding theory and information theory for undergraduates of mathematics and computer science. It discusses the topics such as: a review of probability theory; the efficiency of codes, the capacity of communications channels, coding and decoding in the presence of errors, the general theory of linear codes, and more.

This graduate level textbook covers an especially broad range of topics. The first part of the book contains a careful but rapid discussion of the basics of linear algebra. The author then proceeds to a discussion of modules, emphasizing a comparison with vector spaces.