Semester-Plus-C05-Sem 2

Semester-Plus-C05-Sem 2 PDF Author: Milan Gowel & Kusum Wadhwa & Anju Loomba & Ashoo Karla & Neha Jindal & Rita Wilson
Publisher: New Saraswati House India Pvt Ltd
ISBN: 9386137321
Category : Language Arts & Disciplines
Languages : en
Pages : 332

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Book Description
Semester-Plus-C05-Sem 2

Semester-Plus-C05-Sem 2

Semester-Plus-C05-Sem 2 PDF Author: Milan Gowel & Kusum Wadhwa & Anju Loomba & Ashoo Karla & Neha Jindal & Rita Wilson
Publisher: New Saraswati House India Pvt Ltd
ISBN: 9386137321
Category : Language Arts & Disciplines
Languages : en
Pages : 332

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Book Description
Semester-Plus-C05-Sem 2

Semester-Plus-C05-Sem 1

Semester-Plus-C05-Sem 1 PDF Author: Milan Gowel & Kusum Wadhwa & Anju Loomba & Ashoo Karla & Neha Jindal & Rita Wilson
Publisher: New Saraswati House India Pvt Ltd
ISBN: 9386137313
Category : Language Arts & Disciplines
Languages : en
Pages : 316

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Book Description
Semester-Plus-C05-Sem 1

MATH 221 FIRST Semester Calculus

MATH 221 FIRST Semester Calculus PDF Author: Sigurd Angenent
Publisher:
ISBN: 9781505204841
Category :
Languages : en
Pages : 134

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Book Description
MATH 221 FIRST Semester CalculusBy Sigurd Angenent

Probability and Statistics

Probability and Statistics PDF Author: Michael J. Evans
Publisher: Macmillan
ISBN: 9780716747420
Category : Mathematics
Languages : en
Pages : 704

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Book Description
Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. They'll get a thorough grounding in probability theory, and go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Bayesian inference is developed as a logical extension of likelihood methods. A separate chapter is devoted to the important topic of model checking and this is applied in the context of the standard applied statistical techniques. Examples of data analyses using real-world data are presented throughout the text. A final chapter introduces a number of the most important stochastic process models using elementary methods. *Note: An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.

Text Book of Microbiology

Text Book of Microbiology PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
Preface INTRODUCTION HISTORY OF MICROBIOLOGY EVOLUTION OF MICROORGANISM CLASSIFICATION OF MICROORGANISM NOMENCLATURE AND BERGEY'S MANUAL BACTERIA VIRUSES BACTERIAL VIRUSES PLANT VIRUSES THE ANIMAL VIRUSES ARCHAEA MYCOPLASMA PHYTOPLASMA GENERAL ACCOUNT OF CYANOBACTERIA GRAM -ve BACTERIA GRAM +ve BACTERIA EUKARYOTA APPENDIX-1 Prokaryotes Notable for their Environmental Significance APPENDIX-2 Medically Important Chemoorganotrophs APPENDIX-3 Terms Used to Describe Microorganisms According to Their Metabolic Capabilities QUESTIONS Short & Essay Type Questions; Multiple Choice Questions INDEX.

Discrete Mathematics for Computer Science

Discrete Mathematics for Computer Science PDF Author: Gary Haggard
Publisher: Cengage Learning
ISBN: 9780534495015
Category : Computers
Languages : en
Pages : 0

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Book Description
Master the fundamentals of discrete mathematics with DISCRETE MATHEMATICS FOR COMPUTER SCIENCE with Student Solutions Manual CD-ROM! An increasing number of computer scientists from diverse areas are using discrete mathematical structures to explain concepts and problems and this mathematics text shows you how to express precise ideas in clear mathematical language. Through a wealth of exercises and examples, you will learn how mastering discrete mathematics will help you develop important reasoning skills that will continue to be useful throughout your career.

Data Science and Machine Learning

Data Science and Machine Learning PDF Author: Dirk P. Kroese
Publisher: CRC Press
ISBN: 1000730778
Category : Business & Economics
Languages : en
Pages : 538

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Book Description
Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked-out examples Many concrete algorithms with actual code

Introduction to Aircraft Flight Mechanics

Introduction to Aircraft Flight Mechanics PDF Author: Thomas R. Yechout
Publisher: AIAA
ISBN: 9781600860782
Category : Aerodynamics
Languages : en
Pages : 666

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Book Description
Based on a 15-year successful approach to teaching aircraft flight mechanics at the US Air Force Academy, this text explains the concepts and derivations of equations for aircraft flight mechanics. It covers aircraft performance, static stability, aircraft dynamics stability and feedback control.

A Book on C

A Book on C PDF Author: Al Kelley
Publisher: Benjamin-Cummings Publishing Company
ISBN: 9780805300604
Category : Computers
Languages : en
Pages : 548

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Book Description
The authors provide clear examples and thorough explanations of every feature in the C language. They teach C vis-a-vis the UNIX operating system. A reference and tutorial to the C programming language. Annotation copyrighted by Book News, Inc., Portland, OR

Discrete Mathematics

Discrete Mathematics PDF Author: Oscar Levin
Publisher: Createspace Independent Publishing Platform
ISBN: 9781534970748
Category :
Languages : en
Pages : 342

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Book Description
This gentle introduction to discrete mathematics is written for first and second year math majors, especially those who intend to teach. The text began as a set of lecture notes for the discrete mathematics course at the University of Northern Colorado. This course serves both as an introduction to topics in discrete math and as the "introduction to proof" course for math majors. The course is usually taught with a large amount of student inquiry, and this text is written to help facilitate this. Four main topics are covered: counting, sequences, logic, and graph theory. Along the way proofs are introduced, including proofs by contradiction, proofs by induction, and combinatorial proofs. The book contains over 360 exercises, including 230 with solutions and 130 more involved problems suitable for homework. There are also Investigate! activities throughout the text to support active, inquiry based learning. While there are many fine discrete math textbooks available, this text has the following advantages: It is written to be used in an inquiry rich course. It is written to be used in a course for future math teachers. It is open source, with low cost print editions and free electronic editions.