ADEDEJI B. BADIRU & P. SIMIN PULAT
Anyone interested in project management needs to get a strong grip on the fundamentals. This book contains that information, with a slant towards models and computer analysis. Topics include basic project scheduling and planning, modeling and optimization, economic analysis, decision analysis, and computers and software. The book is aimed at people learning about project management, but experienced managers will appreciate the sections on statistical distribution functions and computer applications. Applications covered include LINDO, decision trees analysis, the AHP, and project management software including MS Project.

STEPHEN GREY
Here is a book for anyone interested in risk analysis and project management! The author deals with the topic of realistically assessing and modeling risk using the world's best risk analysis software - @RISK! General topics include risk assessment, modeling and simulation, cost risk, schedule risk, and business forecast risk. The book is written with every member of the project planning team in mind, including project managers, bid managers, sales professionals, estimators, consultants, auditors, and more! The book focuses on @RISK for Excel and for Lotus 1-2-3, but most of the examples can be modeled directly in @RISK for Project as well! HC, 158 pp.

JOHN SCHUYLER
Is there anything more important to the success of a project than making good decisions? Yet, few of us have had any formal training in decision making. Decision analysis is the discipline that helps people choose wisely under conditions of uncertainty. This book introduces risk and decision analysis applied to project management.

Probability is the language of uncertainty. Fortunately, a few basic concepts go a long way toward making better decisions. The evaluation calculations are straightforward, and many everyday problems can be solved with a hand calculator.

Recently we have seen heightened interest in probabilistic techniques for all types of evaluations. Shorter business cycles and increasing competition are demanding better resource management. People are learning more about value creation and how to work with uncertainty. New and evolving project management and risk software such as @RISK for Project, @RISK for Excel, PrecisionTree, and RISKOptimizer greatly help in assessing and managing risks and opportunities.

There are three major features of the decision analysis approach:

1. best judgments about risks and uncertainties are expressed as probability distributions;
2. a project model establishes the outcome value for the possible scenarios; and
3. the expected value (EV) calculation provides a probability-weighted value for decision making.

ERIK UYTTEWAAL
Dynamic Scheduling with Microsoft?Office Project 2003: The Book By and For Professionals, is based on the cumulative experience of the author, his clients, and other instructors, and includes insights from numerous other professionals who have used MS Office Project successfully. This unique guide gives a complete picture of how to achieve the best results with Microsoft Project.

This fully revised new edition of Eric Uyttewaal's best-selling book does more than describe the features of Microsoft Project. The author recommends certain features and argues against others - giving you a complete picture of how to use Microsoft Office Project 2003 to build a dynamic schedule that meets your need, not just once, but continuously. SC 575 pp.

Key features:

• Fully aligned with the PMBOK 2004 edition
• Teaches how to build dynamic, easy-to-maintain project models
• Provides a checklist for good models of your project
• Provides many helpful screen illustrations, diagrams, stories, cartoons, review questions, case studies, and hands-on exercises to help make the learning process easy for all user levels
• An excellent companion for @RISK for Project users!

TED KLASTORIN
Project Management: Tools and Trade-offs presents the fundamental concepts of project management in a concise fashion with an emphasis on the difficult tradeoffs that must be made by project managers. The author describes analytical tools and project management methodologies and shows how to apply these tools and methodologies to realistic problems. The book:

?Offers a unique balance of theory and practice, with emphasis on the uncertain, risky projects that managers face every day,
?Takes an analytical and applied approach,
?Includes Excel templates for all models described in the book on an accompanying disk.