Learn IT - Books tags undergraduate

Probability: With Applications and R

John Wiley & Sons, 2013

An introduction to probability at the undergraduate level

Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability.

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Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition

John Wiley & Sons, 2011

Now updated—the systematic introductory guide to modern analysis of large data sets

As data sets continue to grow in size and complexity, there has been an inevitable move towards indirect, automatic, and intelligent data analysis in which the analyst works via more complex and sophisticated software tools. This book...

Computational Geometry: Algorithms and Applications, Second Edition

Springer, 2000

This well-accepted introduction to computational geometry is a textbook for high-level undergraduate and low-level graduate courses. The focus is on algorithms and hence the book is well suited for students in computer science and engineering. Motivation is provided from the application areas: all solutions and techniques from computational...

Multivariate Time Series Analysis: With R and Financial Applications

John Wiley & Sons, 2013

An accessible guide to the multivariate time series tools used in numerous real-world applications

Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a...

Graduate Mathematical Physics, With MATHEMATICA Supplements

John Wiley & Sons, 2006

This up-to-date textbook on mathematical methods of physics is designed for a one-semester graduate or two-semester advanced undergraduate course. The formal methods are supplemented by applications that use MATHEMATICA to perform both symbolic and numerical calculations.
The book is written by a physicist lecturer who knows the...

Agile Model-Based Development Using UML-RSDS

CRC Press, 2016

This book describes the concepts and application of model-based development (MBD), model transformations, and Agile MBD to a wide range of software systems. It covers systems requirements engineering, system specification and design, verification, reuse, and system composition in the context of Agile MBD. Examples of applications in...

Computer Explorations in Signals and Systems Using MATLAB

Prentice Hall, 1996

This book provides computer exercises for an undergraduate course on signals and linear systems. Such a course or sequence of courses forms an important part of most engineering curricula. This book was primarily designed as a companion to the second edition of Signals and Systems by Oppenheim and Willsky with Nawab. While the...

Assembly Language for Intel-Based Computers (4th Edition)

Prentice Hall, 2002

For undergraduate courses in assembly language programming and introductory courses in computer systems and computer architecture. This complete and fully updated study of assembly language for the IBM-PC teaches students how to write and debug programs at the machine level. Based on the Intel processor family, the text simplifies and...

Elliptic Curves: Number Theory and Cryptography, Second Edition (Discrete Mathematics and Its Applications)

CRC Press, 2008

Over the last two or three decades, elliptic curves have been playing an increasingly important role both in number theory and in related fields such as cryptography. For example, in the 1980s, elliptic curves started being used in cryptography and elliptic curve techniques were developed for factorization and primality...

Introduction to General Relativity

Cambridge University Press, 2009

A student-friendly style, over 100 illustrations, and numerous exercises are brought together in this textbook for advanced undergraduate and beginning graduate students in physics and mathematics. Lewis Ryder develops the theory of general relativity in detail. Covering the core topics of black holes, gravitational radiation, and cosmology, he...

The Data Science Design Manual (Texts in Computer Science)

Springer, 2017

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data.

The...

Kernel Smoothing: Principles, Methods and Applications

John Wiley & Sons, 2018

Comprehensive theoretical overview of kernel smoothing methods with motivating examples

Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores theory and methods of kernel smoothing in a variety of...

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