Book picks similar to
Research Methodology: Methods and Techniques by C.R. Kothari
research
research-methodology
non-fiction
academic
Language, Culture, and Society: An Introduction to Linguistic Anthropology
Zdenek Salzmann - 1993
Now with a built-in Resource Manual and Study Guide, Language, Culture, and Society is the teaching text for the linguistic anthropology course.
Chemistry: An Introduction to General, Organic, and Biological Chemistry
Karen C. Timberlake - 1976
Now in it's tenth edition, this text makes chemistry exciting to students by showing them why important concepts are relevant to their lives and future careers.
Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People
Aditya Y. Bhargava - 2015
The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to take a hard pass on Knuth's brilliant but impenetrable theories and the dense multi-page proofs you'll find in most textbooks, this is the book for you. This fully-illustrated and engaging guide makes it easy for you to learn how to use algorithms effectively in your own programs.Grokking Algorithms is a disarming take on a core computer science topic. In it, you'll learn how to apply common algorithms to the practical problems you face in day-to-day life as a programmer. You'll start with problems like sorting and searching. As you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression or artificial intelligence. Whether you're writing business software, video games, mobile apps, or system utilities, you'll learn algorithmic techniques for solving problems that you thought were out of your grasp. For example, you'll be able to:Write a spell checker using graph algorithmsUnderstand how data compression works using Huffman codingIdentify problems that take too long to solve with naive algorithms, and attack them with algorithms that give you an approximate answer insteadEach carefully-presented example includes helpful diagrams and fully-annotated code samples in Python. By the end of this book, you will know some of the most widely applicable algorithms as well as how and when to use them.
Research Methods for Business Students
Mark N.K. Saunders - 2006
Using real-life case studies and written with a student-centered approach, this new edition provides students with the necessary knowledge and skills to enable them to undertake a piece of business research making the best use of IT where appropriate.
The Peter Principle
Laurence J. Peter - 1969
Not only do the authors reveal why the world is so completely screwed up, but they provide proven techniques for creative control of personal, social, and business problems. They analyze the reasons for human failure and tell how to achieve a state of well-being by avoiding that unwanted, ultimate promotion.Students of Freud, Potter, and Parkinson will be fascinated by this satirical examination of man's tendency to escalate himself to oblivion at his level of incompetence.
Pmp Exam Prep Questions, Answers, & Explanations: 1000+ Pmp Practice Questions with Detailed Solutions
Christopher Scordo - 2009
So why aren't students laser-focused on taking practice exams before attempting the real thing? Reflects the current PMP exam format and the PMBOK(r) Guide - Fifth Edition! The practice tests in this book are designed to help students adjust to the pace, subject matter, and difficulty of the real Project Management Professional (PMP) exam. Geared towards anyone preparing for the exam, all tests include clear solutions to help you understand core concepts. If you plan on passing the PMP exam, it's time to test your knowledge. It's time for PMP Exam Prep - Questions, Answers, & Explanations. Now packed with Over 1,000 realistic PMP sample questions to help you pass the exam on your FIRST try. In this book: 1000+ detailed PMP exam practice questions including 18 condensed PMP mock exams that can be completed in one hour; 11 Targeted PMBOK Knowledge Area tests, and detailed solution sets for all PMP questions which include clear explanations and wording, PMBOK Knowledge Area and page references, and reasoning based on the PMBOK Guide - Fifth Edition. Includes FREE PMP exam formula reference sheet! ** For PMP exams AFTER March 2018 **
Linear Algebra Done Right
Sheldon Axler - 1995
The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents - without having defined determinants - a clean proof that every linear operator on a finite-dimensional complex vector space (or an odd-dimensional real vector space) has an eigenvalue. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. This second edition includes a new section on orthogonal projections and minimization problems. The sections on self-adjoint operators, normal operators, and the spectral theorem have been rewritten. New examples and new exercises have been added, several proofs have been simplified, and hundreds of minor improvements have been made throughout the text.
Think Like a Programmer: An Introduction to Creative Problem Solving
V. Anton Spraul - 2012
In this one-of-a-kind text, author V. Anton Spraul breaks down the ways that programmers solve problems and teaches you what other introductory books often ignore: how to Think Like a Programmer. Each chapter tackles a single programming concept, like classes, pointers, and recursion, and open-ended exercises throughout challenge you to apply your knowledge. You'll also learn how to:Split problems into discrete components to make them easier to solve Make the most of code reuse with functions, classes, and libraries Pick the perfect data structure for a particular job Master more advanced programming tools like recursion and dynamic memory Organize your thoughts and develop strategies to tackle particular types of problems Although the book's examples are written in C++, the creative problem-solving concepts they illustrate go beyond any particular language; in fact, they often reach outside the realm of computer science. As the most skillful programmers know, writing great code is a creative art—and the first step in creating your masterpiece is learning to Think Like a Programmer.
Social Engineering: The Art of Human Hacking
Christopher Hadnagy - 2010
Mitnick claims that this socialengineering tactic was the single-most effective method in hisarsenal. This indispensable book examines a variety of maneuversthat are aimed at deceiving unsuspecting victims, while it alsoaddresses ways to prevent social engineering threats.Examines social engineering, the science of influencing atarget to perform a desired task or divulge informationArms you with invaluable information about the many methods oftrickery that hackers use in order to gather information with theintent of executing identity theft, fraud, or gaining computersystem accessReveals vital steps for preventing social engineeringthreatsSocial Engineering: The Art of Human Hacking does itspart to prepare you against nefarious hackers--now you can doyour part by putting to good use the critical information withinits pages.
Python Machine Learning
Sebastian Raschka - 2015
We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world
Theory of Games and Economic Behavior
John von Neumann - 1944
What began more than sixty years ago as a modest proposal that a mathematician and an economist write a short paper together blossomed, in 1944, when Princeton University Press published Theory of Games and Economic Behavior. In it, John von Neumann and Oskar Morgenstern conceived a groundbreaking mathematical theory of economic and social organization, based on a theory of games of strategy. Not only would this revolutionize economics, but the entirely new field of scientific inquiry it yielded--game theory--has since been widely used to analyze a host of real-world phenomena from arms races to optimal policy choices of presidential candidates, from vaccination policy to major league baseball salary negotiations. And it is today established throughout both the social sciences and a wide range of other sciences.This sixtieth anniversary edition includes not only the original text but also an introduction by Harold Kuhn, an afterword by Ariel Rubinstein, and reviews and articles on the book that appeared at the time of its original publication in the New York Times, tthe American Economic Review, and a variety of other publications. Together, these writings provide readers a matchless opportunity to more fully appreciate a work whose influence will yet resound for generations to come.
Design Patterns: Elements of Reusable Object-Oriented Software
Erich Gamma - 1994
Previously undocumented, these 23 patterns allow designers to create more flexible, elegant, and ultimately reusable designs without having to rediscover the design solutions themselves.The authors begin by describing what patterns are and how they can help you design object-oriented software. They then go on to systematically name, explain, evaluate, and catalog recurring designs in object-oriented systems. With Design Patterns as your guide, you will learn how these important patterns fit into the software development process, and how you can leverage them to solve your own design problems most efficiently. Each pattern describes the circumstances in which it is applicable, when it can be applied in view of other design constraints, and the consequences and trade-offs of using the pattern within a larger design. All patterns are compiled from real systems and are based on real-world examples. Each pattern also includes code that demonstrates how it may be implemented in object-oriented programming languages like C++ or Smalltalk.
Asking the Right Questions: A Guide to Critical Thinking
M. Neil Browne - 1981
'Asking the Right Questions' helps students bridge the gap between simply memorising or blindly accepting information, and the greater challenge of critical analysis and synthesis.
Poststructuralism: A Very Short Introduction
Catherine Belsey - 2002
Following a brief account of the historical relationship between structuralism and poststructuralism, this Very Short Introduction traces the key arguments that have ledpoststructuralists to challenge traditional theories of language and culture. While the author discusses such well-known figures as Barthes, Foucault, Derrida, and Lacan, she also draws pertinent examples from literature, art, film, and popular culture, unfolding the poststructuralist account ofwhat it means to be a human being.About the Series: Combining authority with wit, accessibility, and style, Very Short Introductions offer an introduction to some of life's most interesting topics. Written by experts for the newcomer, they demonstrate the finest contemporary thinking about the central problems and issues in hundredsof key topics, from philosophy to Freud, quantum theory to Islam
Principles of Instrumental Analysis
Douglas A. Skoog - 1971
Emphasis is placed upon the theoretical basis of each type of instrument, its optimal area of application, its sensitivity, its precision, and its limitations. The text also introduces students to elementary integrated circuitry, microprocessors and computers, and treatment of analytical data.