This companion volume to Electrical Engineering License Review presents the main book's end-of-chapter problems with detailed step-by-step solutions. A sample exam, also with step-by-step solutions, is included. 100% problems and solutions.

A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

Provides in-depth coverage of basic and advanced topics in data mining and knowledge discovery Presents the most popular data mining algorithms in an easy to follow format Includes instructional tutorials on applying the various data mining algorithms Provides several interesting datasets ready to be mined Offers in-depth coverage of RapidMiner Studio and Weka’s Explorer interface Teaches the reader (student,) hands-on, about data mining using RapidMiner Studio and Weka Gives instructors a wealth of helpful resources, including all RapidMiner processes used for the tutorials and for solving the end of chapter exercises. Instructors will be able to get off the starting block with minimal effort Extra resources include screenshot sequences for all RapidMiner and Weka tutorials and demonstrations, available for students and instructors alike The latest version of all freely available materials can also be downloaded at: http://krypton.mnsu.edu/~sa7379bt/

This textbook contains the fundamentals for an undergraduate course in mathematical finance aimed primarily at students of mathematics. Assuming only a basic knowledge of probability and calculus, the material is presented in a mathematically rigorous and complete way. The book covers the time value of money, including the time structure of interest rates, bonds and stock valuation; derivative securities (futures, options), modelling in discrete time, pricing and hedging, and many other core topics. With numerous examples, problems and exercises, this book is ideally suited for independent study.

Core courses for 2nd and 3rd year BSc Information Systems/Business Systems; MSc Information Systems Design; HND Computing. Also suitable for 3rd year general business students and MsC conversion courses.Through the application of SSADM to a comprehensive central case study the student is shown the practical techniques necessary for a systems analyst to analyse and design effective information systems from Requirements Analysis to Physical Design. SSADM is the vehicle for the tutorials, but emphasis in on systems analysis skills and techniques which can be used in a variety of contexts, including e-commerce. Learning is supported by case studies, exercises, chapter objectives and summaries, over 200 illustrations, lecturer's guide and web site.

Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook introduces numerical modeling and algorithmic desig