Astronomy Demystified

· McGraw Hill Professional
4.0
2則評論
電子書
575
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THE FAST AND PAINLESS WAY TO GRASP THE FUNDAMENTALS OF BASIC ASTRONOMY . . . WITHOUT FORMAL TRAINING

Want to master astronomy or aerospace engineering but are intimidated by the complex formulas and equations? Tried other self-teaching guides but were turned off by the dry, complicated presentation? Problem solved! Astronomy Demystified is a totally different, very entertaining, and amazingly effective way to learn the mathematics, fundamentals, and general concepts of astronomy.

With Astronomy Demystified, you ease into the subject one simple step at a time – at your own speed. Unlike most other books on the topic, general concepts are presented first – and the details follow. In order to make the learning process as clear and simple as possible, heavy-duty math, formulas, and equations are kept at a minimum.

THIS UNIQUE, SELF-TEACHING TEXT OFFERS:
* Questions at the end of every chapter and section to reinforce learning and pinpoint your weaknesses
* A 100-question final exam for self-assessment
* Tips on how to get the most out of observational tools such as binoculars and telescopes
* Discussion of the special problems associated with observing the sky at “invisible wavelengths”
* An easy way to understand the math involved in astronomy

Simple enough for a beginner but comprehensive enough for an advanced student, Astronomy Demystified is your short cut to understanding the heavens.

評分和評論

4.0
2則評論

關於作者

Stan Gibilisco is one of McGraw-Hill’s most diverse and best-selling authors. Known for his clear, user-friendly, and entertaining writing style, Mr. Gibilisco’s depth of knowledge and ease of presentation make him an excellent choice for a book such as Astronomy Demystified. His previous titles for McGraw-Hill include: The TAB Encyclopedia of Electronics for Technicians and Hobbyists, Teach Yourself Electricity and Electronics, and the Illustrated Dictionary of Electronics. Booklist named his book, The McGraw-Hill Encyclopedia of Personal Computing, one of the Best References of 1996.

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