Processing ......
Links to Free Computer, Mathematics, Technical Books all over the World
Nova's SAT Prep Course
How many flights will depart from a particular airport? Click here to find out.
  • Title Nova's SAT Prep Course
  • Author(s) Jeff Kolby
  • Publisher: Nova Press (February 1, 2005)
  • Hardcover: 632 pages
  • eBook: PDF (632 pages, 6.0 MB)
  • Language: English
  • ISBN-10: 1889057282
  • ISBN-13: 978-1889057286
  • Share This:  

Book Description

Every year students pay $800 and more to test-prep companies to prepare for the new SAT. Now you can get the same SAT preparation in a book. SAT Prep Course provides the equivalent of a 2-month, 50-hour course.

The new SAT is challenging but it can be mastered through hard work, analytical thought, and by training yourself to think like an SAT test writer. Many of the exercises in this book are designed to prompt you to think like an SAT test writer. For example, in the SAT math section, you will find Duals. These are pairs of similar SAT problems in which only one property is different. They illustrate the process of creating SAT questions.


  • Math: Twenty-two chapters provide comprehensive review of SAT math, including the new concepts from Algebra II.
  • Reading: Develop the ability to spot places from which questions are likely to be drawn as you read a passage (pivotal words, counter-premises, etc.).
  • Writing: Comprehensive analysis of the new essay, including writing techniques, punctuation, grammar, rhetoric, and style.
  • Vocabulary: Learn the essential 4000 SAT words and the 400 high-frequency words.
  • Mentor Exercises: These exercises provide hints, insight, and partial solutions to ease your transition from seeing SAT problems solved to solving them on your own.
About the Author
  • N/A
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • Foundations of Machine Learning (Mehryar Mohri, et al)

    This book is a general introduction to machine learning. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms.

  • Machine Learning Yearning (Andrew Ng)

    In this book you will learn how to align on ML strategies in a team setting, as well as how to set up development (dev) sets and test sets. After finishing this book, you will have a deep understanding of how to set technical direction for a machine learning project.

  • Reinforcement Learning: An Introduction, Second Edition

    It provides a clear and simple account of the key ideas and algorithms of reinforcement learning that is accessible to readers in all the related disciplines. Focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes.

Book Categories
Other Categories
Resources and Links