Book Description
This edition features the successful format that has characterized the previous editions. It includes essays that add relevance and interest to the experiments, and emphasis on the development of the important laboratory techniques, the use of spectroscopy and instrumental methods of analysis, a section featuring conventional-scale experiments and methods, and a wide selection of well-tested and well-written experiments.
Customer Reviews:
Good content, poor construction.......2006-11-10
Having owned the previous version of this book, I would have to say that the layout in this new version is much more linear and easy to follow. In addition to new experiments, the instructions are clear for a beginning organic lab student. That being said, however, the material that the book is constructed from is sub par...the pages are very delicate, seeming to be made of tissue paper...Over all, I would recommend this book for its content, but not for the craftsmanship.
Book in great shape.......2005-09-19
Book is flawless, not even scratches on the cover, cannot remember promptness of delivery.
AN ABSOLUTE TREASURE!.......2001-07-25
Pavia et al's Organic Laboratory Techniques (2nd Ed) is an astonishingly excellent book for the beginning student.
In great (yet delightful) detail it describes a series of 60 varied experiments designed to acquaint the reader with a plethora of laboratory techniques, from Measuring Volumes and Weights up thru Chromatography and Spectroscopy.
Particularly good are the many exceptionally clear drawings of laboratory apparatus, and rational behind the instrumentation. (Eg, do you know why you should put a trap in the aspirator hose, or for that matter how the aspirator (vacuum) works?) Sprinkled throughout are hints on how best to perform this, that or the other thing.
A thorough reading of this gem will make you right at home in the organic chemistry laboratory, and indeed will practically make you an organic chemist in spite of yourself.
In fact, if you are thinking of going to college, you might ask whether this text is used in the college's Organic Chemistry Lab course. If not, and you are interested in science, find a school that uses it! And if you are already in a lab course with another text, you would be well advised to get this eminently readable treasure also.
Excellent Lab Text But Not Everyone Has To Buy It.......2000-08-29
Though a complete laboratory text with 50+ experiments, lab techniques, tables of unknowns and spectroscopy, the organic faculty prepare our own lab manual to be followed. Pavia text becomes a close handy reference for lab techniques and setup. The techniques section, which include filtration, crystallization, distillation (simple, fractional, and steam), chromatogrpahy (column, thin-layer, and gas)... should be carefully studied before conducting experiments for beginning students. Unless your organic lab course follows almost exactly the outline of experiments in this text, you can check it out from the library and read it.
Best organic laboratory manual available!.......1999-05-17
I have taken a full course using this book and I think that it is the best one I have seen! Organic chemistry is a hard subject and this book lays it out in an understandable way. The "techniuques" section is current, readable, and the pictures are well done. The essays that accompany many of the experiments are entertaining and give good background information that helps doing the experiments more enjoyable. Probably the best section is the "identification of unknowns" section which lays out in a good logical way how to identify what you have in the lab. I think that the book also addresses and promotes a great trend in chemistry i.e. microscale research that reduces waste and promotes conservation of chemicals and the environment.
Book Description
Beginning in the 1960s, scientists across a wide range of disciplines cooperated in developing unbiased--or assumption free--stereology, based on stochastic geometry and probability theory, as a way to estimate the parameters of irregularly shaped objects without introducing bias. In recent years these new estimation techniques, which were originally quite painstaking and time consuming, have made a great deal of headway in disciplines such as neuroscience, thanks in part to the development of computer software for their application. Prestigious journals and grant-giving organizations now require the use of unbiased stereology in the projects that they support, and this trend is expected to continue.
Principles and Practices of Unbiased Stereology will fill a need in the biomedical community as a clear, user-friendly introduction to this area for the increasing number of scientists who need to learn these techniques for their research. The work moves logically from a discussion of the historical background of stereology to full explanations of terms, concepts,and tools, with the latter part of the manuscript devoted to typical stereology designs. An associated web site will feature color illustrations and video clips demonstrating stereological techniques.
Customer Reviews:
Well written and straightforward.......2005-07-01
Stereology refers to a set of methodological tools (e.g. mathematical, statistical, and geometric) for obtaining information about three-dimensional objects from two-dimensional profiles. This book provides the necessary theoretical and methodological framework for beginners in the field, by describing the basic `principles and practices' of stereology. It is primarily written for neuroscientists and biomedical scientists but geologists and other scientists from a variety of different disciplines will find it very useful. The first chapter offers a historical overview of the fundamental concepts of stereology and the events that led to the present era of modern stereology. Subsequent chapters deal with stereological techniques for quantifying first-order parameters (volume, length, surface area, number) as well as issues of experimental design, sampling strategies and possible sources of bias. The concise illustrations and figures that accompany the text help to promote better understanding of the abstract concepts. Complex formulations are avoided and the simple explanations that are provided make the entire book very easy to read and follow. Overall, this book is well-written and straightforward introduction to the basic principles of modern stereology.
Michail E. Kalaitzakis, Ph.D. D.I.C. Candidate, Faculty of Medicine, Department of Neuropathology, Imperial College London, University of London, UK.
A fantastic book.......2002-08-28
Principles and Practices fills a much needed niche-- this book excels at introducing beginners to stereology and is sufficiently advanced that more experienced scientists will find themselves using it for reference. The most interesting and useful feature of this book is its organization. Beginning with an historical perspective, the reader learns the importance of stereology as a separate field, as well as its recent impact on the biological sciences. The author does an excellent job of providing pertinent information instead of overwhelming with formulas and jargon. Dr. Mouton's treatment of bias and error is superb; I find myself referring to it frequently.
Book Description
Noted scientist's exceptionally clear, pragmatic guide to principles and procedures useful in a wide range of sciences. Design of experiments and apparatus; classification, sampling and measurement; analysis of experimental data; errors of measurement; probability, randomness and logic; much more. Indispensable for any researcher. 1952 edition. 49 illustrations.
Customer Reviews:
An Introduction to Scientific Research by E. Bright Wilson.......2005-08-03
The best and the most practical book I have ever seen about general aspects of carrying out scientific research. Author logically starts with choosing a topic for ones research project and ends with article publication. Though author discusses mostly experimental aspects of a research work, I have found it applicable for the field of computer simulations as well.
I also have successfully used this book for designing and teaching undergraduate physics labs. It is an endless source of examples. Some material, such as data and error analysis, can be even ``incorporated'' as a part of regular lab manuals.
review on An Introduction to scientific research.......2001-11-26
After reading this book I came to the conclusion that researchers and scientists should read this book once to conduct efficient research. This book can also help new researchers, who are planning to start research. This book is mainly based on Professor Wilson's experiences during his entire research carrier. It can be helpful to all researchers in all fields. It contains real illustration, which can occur during, before or after conducting research. The language of this book is really simple. Any one who has done scientific research at the Graduate or Post-Graduate level will be grateful for this eternal Introduction to Scientific Research. The book presents much sensible advice. Topics include: Choice and Statement of Research Problem, Searching the Literature, Scientific Method in detail, Design of Experiments, Design of Apparatus, Execution of Experiments, Analysis of Experimental Data and error Analysis. The part on computer use is out dated, but otherwise the book is one of the best of the few references on the subject of Scientific Research.
I am very disappointed.......2001-03-08
Before I bought this book, I think this book is about the philosophical account on the scientific research. After I bought this book, then what? I was very disappointed, this book is just about the practical application of experimental design in scientific research. Thus, the more apt title for this book is "Application of Experimental Design in Scientific Research".
Very good Handbook for conducting Scientific Research.......1998-07-12
Any one who has done scientific research at the Graduate or Post-Graduate level will appreciate this timeless Introduction to Scientific Research. The book offers much practical advice. Topics include: Choice and Statement of Research Problem; Searching the Literature; Scientific Method in detail; Design of Experiments; Design of Apparatus; Execution of Experiments; Analysis of Experimental Data & Error Analysis. The part on computer use is dated, but otherwise the book is one of the best of the few references on the subject of Scientific Research.
Book Description
The results, conclusions and claims of science are often taken to be reliable because they arise from the use of a distinctive method. Yet today, there is widespread skepticism as to whether we can validly talk of method in modern science. This outstanding survey explains how this controversy has developed since the 17th century, and explores its philosophical basis.
Customer Reviews:
Solid presentation.......2002-03-30
Gower's survey begins with Galileo and ends with Carnap. In between, he covers a number of prominent scientists - the ones you expect, like Bacon and Newton; and a few you don't, like John Maynard Keynes. He has grouped his subjects according to the nature of their contribution, which means that this reads as the series of essays that it is. Each essay is separately referenced.
There are a few odd omissions, like Descartes (who is nonethless mentioned in passing). But the net result is that, instead of being presented with the historical panorama, one is confronted with a series of ideas - and how they fit into the overall understanding of contemporaries.
Book Description
This text provides a broad and integrative introduction to the conduct and interpretation of scientific research in geography. It covers both conceptual and technical aspects, and is applicable to all topical areas in geographic research, including human and physical geography, and geographic information science. The text discusses all parts of the research process, including scientific philosophy; basic research concepts; generating research ideas; communicating research and using library resources; sampling and research design; quantitative and qualitative data collection; data analysis, display, and interpretation; reliability and validity; using geographic information techniques in research; and ethical conduct in research.
The text is intended for English-language undergraduate and graduate courses on research methods in geography and related disciplines, such as environmental studies. In addition, it will be valuable as a reference work or primer for students, faculty, and other professionals who want a concise and integrated introduction to research methods in geography.The text applies the research philosophy and methods of the social and natural sciences to topics in geography. At the same time, it recognizes and respects the heterogeneity and pluralism of geography, and avoids simplistic conceptions of scientific geography as narrowly “positivistic,†“objective,†or “quantitative.†In this way, the text attempts to promote rigor and progressiveness in geography, helping to build bridges among the various subfields of geography and the other social and natural sciences, while avoiding some of the limiting meta-theoretical conflicts that have characterized geography in recent decades.
Customer Reviews:
A perfect beginner's coursebook.......2006-05-20
For a comprehensive college-level study of geographic research methods, choose AN INTRODUCTION TO SCIENTIFIC RESEARCH METHODS IN GEOGRAPHY, which covers the entire research process and describes basic concepts, from generating ideas to using library resources and using ethical judgment in conducting, compiling and presenting research. Plenty of illustration of different geographic research techniques include boxed summaries and spatial examples, which self-tests, assessments, and exercises make for a perfect beginner's coursebook.
Diane C. Donovan, Editor
California Bookwatch
Average customer rating:
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An Introduction to Scientific Geographic Research
L. Lloyd Haring , and
John F. Lounsbury
Manufacturer: William C Brown Pub
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ASIN: 0697137414 |
Book Description
This text helps your geography students utilize their analytical skills and the scientific method for solving problems.
Book Description
An Introduction to Logic and Scientific Method is a college level primer on logic. This book was widely used by scholars especially those studying economics as an introduction to logical thought in preparation for intellectual discourse. Ludwig von Mises was known to say that all students of economics should read this book as a first step in their training as economists.
Average customer rating:
- The Best Book, Period!
- An excellent book
- Good book for introductory course
- Avoid this one...
- operatiom research
|
Operations Research: An Introduction (6th Edition)
Hamdy A. Taha
Manufacturer: Prentice Hall
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Binding: Hardcover
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Similar Items:
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Schaum's Outline of Operations Research
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Applied Regression Analysis (Wiley Series in Probability and Statistics)
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Simulation with Arena w/ CD-Rom
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Operations Research Models and Methods
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Operations Research: Applications and Algorithms /Book and Disk (Business Statistics)
ASIN: 0132729156 |
Customer Reviews:
The Best Book, Period!.......2005-10-09
I just want to respond to the CS major from Denmark. If he/she is that knowlegeable about what OR should or should not include, what is he/she doing taking an introductory course in the subject? This is not a book about writing computer codes for algorithms to please CS majors. It is a book that offers a comprehensive treatment of all three aspects of operations research (theory, applications, and computations), and it does it admirably. Also, if the CS major has read past the first few chapters, he/she will find all the LP/IP theory he/she desires. I belive that TORA is one of the best tutorial programs I (and my students) have ever used. It is easy to use and it gives instant feedback to actions initiated by the user. Also, as far as I know, TORA always gives the correct answers. I am currently teaching an introductory class from Taha's book, and I am very pleased with it (not to mention that its page count is about half the size of the competition -- without loss of substance, I must add)
An excellent book.......2005-07-30
I have used this book as a student some 20 years ago and continue to use it today in my line of work. I was surprised to read a CS student complaining that the book does not provide any LP theory. Huh! Apparently the reviewer did not go past the first two chapters because Chapter 7 gives all the necessary mathematical foundation for linear programming. The reviewer also talks about "signedness" difficulty in the book, something I don't understand because "signedness" is not a word in English. As for TORA, true the software is not an "orthodox" Windows development per se particularly for CS majors, but I find it refreshing that it is desigend to eliminate the need for a user manual. And this perhaps is the reason TORA is designed that way. It is very easy to use, and it can be used interactivly (with instant feedback) to help the reader understand the algorithmic details of the different OR techniques. I might also add that I used TORA's LP and IP modules many many times and have compared the results with those from AMPL and Excel Solver. Contrary to the CS reviewer claim,TORA always gave the correct answers. In summary, this book explains the basics of OR (theory, applications and computations)in a clear, concise, and straightforward manner using multitudes of examples. It is no wonder that it has been a leading textbook worldwide for over 35 years.
Good book for introductory course.......2005-05-06
This is a good book for an Management Science course book which does not go deep into theory. Primarily its good for business majors, however there are better books for business majors who dont want to be involved with the math using Excel exclusively. Ragsdales book comes to mind.
However, there are plenty problems solved and so if you are one of those people who learn through solving problems this is a decent book.
For theory and math pick Bazraas book on LP and NLP or Model Building by Paul Williams which I think is an excellent book.
Avoid this one..........2004-12-08
I'm a student at a CS school in Denmark, doing a course in OR, and this book served as my first introduction to the subject. The book has several flaws making it virtually useless as teaching material. From the very start, he stumbles, as he tries to explain the simplex algorithm, yet he doesn't even give a single mathematical explanation of the process. There are two whole chapsters, devoted to simplex, yet there is no single "algorithmic" presentation in pseudo-code, of the algorithm. Other books (such as Introduction to Algorithms, 2nd ed, managers this fine.)
Many of the more subtle points of OR are badly explained. How duality relates the primal is explained theoretically in virtually a single five centimeter space, far from sufficient to explain the many aspects of duality (a key issue in OR). Further, one of the initially very confusing aspects of LP solving, is the signedness of variables. There are several approaches in the industry, and Taha follows one. This is all good and all, but that he fails to explain, how the algorithms change, depending on what signedness one uses, is totally unforgivable in an introductory text. It makes it very confusing initially (and still) to read other authors text, since it's not clear how procedures vary from one text to another.
The book's single saving grace, is that it has countless examples, but when you're looking for the mathematical reasoning behind a procedure, this book falls far short. A book that proudly proclaims on the backcover: "Complex mathematical concepts are explained by means of carefully designed numerical examples, essentially eliminating the need for [...] mathematical proofs." is not something you want. LP/IP programming IS math heavy, if you do not learn the theory, you will learn a very rigid and inflexible tool.
Further the CD comes with a Visual Basic program, the likes of which I have never seen, except perhaps ten years ago on download.com. It's Windows only, and it has the poorest interface ever (it's so obvious that this used to be a console program, quickly ported to Windows). And what's worse, is that it gives /incorrect/ solutions! Our school has an installation of CPLEX, an industrial strength program for solving LP problems. Of course, one doesn't expect TORA (the name for Tahas LP solver) to handle as big cases as CPLEX can, but it seems only fair to expect it to give the correct results.
operatiom research.......2004-03-30
i want a key of operation research by hamdy taha(sixth edition)
in which all odd and even no of question are solved.
i will be very thankfull to u
m2sajan@hotmail.com
Average customer rating:
- A disappointing book
- A must for engineering statistics
|
Data Analysis With Excel: An Introduction for Physical Scientists
Les Kirkup
Manufacturer: Cambridge University Press
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Binding: Hardcover
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Advanced Excel for Scientific Data Analysis
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Excel Scientific and Engineering Cookbook (Cookbooks (O'Reilly))
ASIN: 0521793378 |
Book Description
Data analysis is of central importance in the education of scientists. This book offers a compact and readable introduction to techniques relevant to physical science students. The material is thoroughly integrated with the popular and powerful spreadsheet package Excel by Microsoft. Excel features of most relevance to the analysis of experimental data in the physical sciences are dealt with in some detail. Fully worked problems reinforce basic principles. Underlying assumptions and range of applicability of techniques are discussed, though detailed derivations of basic equations are mostly avoided or confined to the appendices.
Customer Reviews:
A disappointing book.......2004-11-12
This is an introductory book on Excel for physical scientists. Cambridge University Press deserves a compliment for a beautifully produced volume. Unfortunately, its contents are disappointing, because the text contains serious errors and omissions. The most obvious error is the statement, on page 308, that Excel does not provide built in facilities for fitting equations to data using nonlinear least squares. Excel does provide these, in the form of Solver, but the reader will look in vain for any mention of Solver in this book. (Figure 9.1 on page 365 shows that the author indeed has not bothered to activate the Solver Add-in.) The most serious omission is that the existence of user-definable functions and macros is not mentioned either. This leaves out two of the most powerful features of Excel: nonlinear least squares, and user programmability.
Another major problem with this book is that it doesn't show the reader how to use the spreadsheet effectively, but often goes out of its way to make easy things difficult. The almost exclusive emphasis in this book is on least squares methods, yet these are handled quite clumsily. On page 244, e.g., the linear correlation coefficient is computed from its formula by calculating the necessary sums, rather than by taking advantage of the fact that Linest, Regression, and Trendline all provide this parameter or its square. On page 284 the reader is shown the matrix algebra for fitting data to a parabola, and then told that "The built in matrix functions of Excel are well suited to estimating parameters in linear least squares problems", as if Linest, Regression, and Trendline are not there to take care of such tedious data manipulations. Likewise, on page 290, the user is not informed that Linest and Regression can also do multivariate analysis, but instead is instructed to do this the hard way, again by setting up and solving matrix equations. It is as if the author hasn't quite figured out yet that the spreadsheet has several built-in facilities specifically designed to make such least squares problems user-friendly.
In comparison with other books vying for the scientific spreadsheet market it is difficult to come up with any area in which Kirkup's book has the edge over its competitors: Billo (2nd ed., Wiley, 2001), Bloch (2nd ed., Wiley, 2003), de Levie (Oxford, 2004), Gottfried (2nd ed., McGraw-Hill, 2002), Liengme (3rd ed., Newnes, 2002), and Orvis (2nd ed., Sybex, 1996) all provide much more useful information, and don't make their readers jump through unnecessary hoops either.
A must for engineering statistics.......2003-10-20
If you are doing an engineering statistics course this book is of a hell of a lot more value than Engineering Statistics by Hubele, Montgomery and Runger.
This book teaches you how to do statistics using excel.
Should be aplicable for most statistics but is of great
assistance if your doing Engineering statistics and get stuck without much support.
Average customer rating:
|
Introduction to High-Performance Scientific Computing (Scientific and Engineering Computation)
Lloyd D. Fosdick ,
Elizabeth R. Jessup ,
Carolyn J. C. Schauble , and
Gitta Domik
Manufacturer: The MIT Press
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ASIN: 0262061813 |
Book Description
This text evolved from a new curriculum in scientific computing that was developed to teach undergraduate science and engineering majors how to use high-performance computing systems (supercomputers) in scientific and engineering applications.
Designed for undergraduates, An Introduction to High-Performance Scientific Computing assumes a basic knowledge of numerical computation and proficiency in Fortran or C programming and can be used in any science, computer science, applied mathematics, or engineering department or by practicing scientists and engineers, especially those associated with one of the national laboratories or supercomputer centers.
The authors begin with a survey of scientific computing and then provide a review of background (numerical analysis, IEEE arithmetic, Unix, Fortran) and tools (elements of MATLAB, IDL, AVS). Next, full coverage is given to scientific visualization and to the architectures (scientific workstations and vector and parallel supercomputers) and performance evaluation needed to solve large-scale problems. The concluding section on applications includes three problems (molecular dynamics, advection, and computerized tomography) that illustrate the challenge of solving problems on a variety of computer architectures as well as the suitability of a particular architecture to solving a particular problem.
Finally, since this can only be a hands-on course with extensive programming and experimentation with a variety of architectures and programming paradigms, the authors have provided a laboratory manual and supporting software via anonymous ftp.
Scientific and Engineering Computation series
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Organic Chemistry
