Reviews for Information Technology Project Management

The average rating for Information Technology Project Management based on 2 reviews is 4 stars.

Review # 1 was written on 2010-11-24 00:00:00 Nancy Hachigian This may be a textbook - something that is not usually read cover to cover. Nevertheless, I found it to be extraordinarily enriching and so, missing any page would make the knowledge-seeking effort seems like an unfinished business. If, after completing the course in which this book is the main reference, you feel like handing it over to your junior as second-hand book, my advise is: don't. It is priceless especially when your job is directly related to it. You'll never know when you'll need to refer to it again. BTW, don't even think of installing the trial software that is included in the CD accompanying the book. It will corrupt the other application software registry in your computer, as had happened to me.

Review # 2 was written on 2017-06-20 00:00:00 Alansa Birnadr The book is pricey, and then you also need to pay for MyStatLab to get the full effectiveness of the material from the book. That said, for what it attempts to be, I think it performs the job very effectively. I was able to get through a semester-long course in about 5 weeks simply by following closely and diligently the format of the book and the online tests and quizzes. That means I get about 3 months of my life back that I normally would have spent waiting for other students to complete the material. That's 3 months I can spend doing anything, even learning more math! People giving the book bad reviews really need to consider that this book is not about statistical theory or about pure math and mathematical proof. If you want to study pure math, that is a wonderful and interesting subject in and of itself, but that is not the subject of this book. After a couple of introductory chapters on basis probability and set theory, this book guides you and teaches you how to do statistical inference. That means doing a *lot* of hypothesis testing. You are going to see and experience so many different types of hypothesis tests that you are going to see them in your sleep. But that's ok, because that is the purpose of a textbook on statistical inference. This books introduces the tests, tells you the premise why the test is needed, explains what must be verified before a particular test can be applied, and then it gives you one or two examples, each followed by examples you are asked to work in the book. Then you do your homework and your tests. It is the soul of simplicity. No proofs, no real theory in any depth, but that is not the point of this type of applied stat course. So for anyone who wants to get through a second semester stat course with no nonsense, this is a great book that will save you time and hassle, and is well worth the price you pay.