Project Management Achieving Competitive Advantage (5版)
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書名：Project Management Achieving Competitive Advantage 5/E
作者：PINTO
出版社：PEARSON
出版日期：2020/00/00
ISBN：9781292269146
內容簡介
1. Introduction: Why Project Management?
2. The Organizational Context: Strategy, Structure, and Culture
3. Project Selection and Portfolio Management
4. Leadership and the Project Manager
5. Scope Management
6. Project Team Building, Conflict, and Negotiation
7. Risk Management
8. Cost Estimation and Budgeting
9. Project Scheduling: Networks, Duration Estimation, and Critical Path
10. Project Scheduling: Lagging, Crashing, and Activity Networks
11. Advanced Topics in Planning and Scheduling: Agile and Critical Chain
12. Resource Management
13. Project Evaluation and Control
14. Project Closeout and Termination
Appendix A. The Cumulative Standard Normal Distribution
Appendix B. Tutorial for MS Project 2016
Appendix C. Project Plan Template
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How to Read a Paper: The Basics of Evidence-based Medicine and Healthcare (7版)
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【簡介】
重量：0.51kg 頁數： 328 裝訂：平裝 開數：21.6 x 14 cm 印刷:雙色
Learn to assess published research in this best-selling introduction to evidence-based healthcare
Evidence-based practices have revolutionized medical care. Clinical and scientific papers have something to offer practitioners at every level of the profession, from students to established clinicians in medicine, nursing and allied professions. Novices are often intimidated by the idea of reading and appraising the research literature. How to Read a Paper demystifies this process with a thorough, engaging introduction to how clinical research papers are constructed and how to evaluate them. Now fully updated to incorporate new areas of research, readers of the seventh edition of How to Read a Paper will also find:
A careful balance between the principles of evidence-based healthcare and clinical practice
New chapters covering consensus methods, mechanistic evidence, big data and artificial intelligence
Detailed coverage of subjects like assessing methodological quality, systemic reviews and meta-analyses, qualitative research, and more.
How to Read a Paper is ideal for all healthcare students and professionals seeking an accessible introduction to evidence-based healthcare – particularly those sitting undergraduate and postgraduate exams and preparing for interviews.
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Introduction to the Basics of Real Analysis
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Contents:
Sets and Functions
Real Number System
Basics of Real Analysis
Sequences of Real Numbers
Limits and Continuity
Uniform Continuity of Real Functions
Differentiability of Real Functions
Uniform Convergence of Sequences and Series of Real Functions
Functions of Several Variables
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Basics of Statistical Physics (3版)
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Statistics links microscopic and macroscopic phenomena, and requires for this reason a large number of microscopic elements like atoms. The results are values of maximum probability or of averaging.
This introduction to statistical physics concentrates on the basic principles and attempts to explain these in simple terms, supplemented by numerous examples. These basic principles include the difference between classical and quantum statistics, a priori probabilities as related to degeneracies, the vital aspect of indistinguishability as compared with distinguishability in classical physics, the differences between conserved and non-conserved elements, the different ways of counting arrangements in the three statistics (Maxwell–Boltzmann, Fermi–Dirac, Bose–Einstein), the difference between maximization of the number of arrangements of elements, and averaging in the Darwin–Fowler method.
Significant applications to solids, radiation and electrons in metals are treated in separate chapters, as well as Bose–Einstein condensation. In this latest edition, apart from a general revision, the topic of thermal radiation has been expanded with a new section on black bodies and an additional chapter on black holes. Other additions are more examples with applications of statistical mechanics in solid state physics and superconductivity. Throughout the presentation, the introduction carries almost all details for calculations.
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Sample Chapter(s)
Preface to Third Edition, Second Edition and First Edition
Chapter 1: Introduction
Contents:
Introduction
Statistical Mechanics of an Ideal Gas (Maxwell)
The a priori Probability
Classical Statistics (Maxwell–Boltzmann)
Entropy
Quantum Statistics
Exact Form of Distribution Functions
Application to Radiation (Light Quanta)
Debye Theory of Specific Heat of Solids
Electrons in Metals
Limitations of the Preceding Theory — Improvement with Ensemble Method
Averaging instead of Maximization, and Bose–Einstein Condensation
The Boltzmann Transport Equation
Thermal Radiation of Black Holes
Readership: Advanced undergraduates, graduate students and academics interested in statistical physics.
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