Introduction to System Science

This textbook introduces senior undergraduate and beginning graduate students of mechanical engineering to the field of digital control with an emphasis on applications. Both transform-based and state-variable approaches are included, with a brief introduction to system identification.

This book presents a panorama of recent developments in the theory of tilings and related dynamical systems. It contains an expanded version of courses given in 2017 at the research school associated with the Jean-Morlet chair program.

Covers the use of dynamic and interactive computer graphics in linear regression analysis, focusing on analytical graphics. Features new techniques like plot rotation. The authors have composed their own regression code, using Xlisp-Stat language called R-code, which is a nearly complete system for linear regression analysis and can be utilized as the main computer program in a linear regression course. The accompanying disks, for both Macintosh and Windows computers, contain the R-code and Xlisp-Stat.

Who has not gazed with wonder at the night sky, especially from a dark site far away from city lights? The great canopy of stars stretching overhead suggests that our world is part of a vastly larger cosmos. But how large is it? Where do we fit in? And how did it all begin? These questions have puzzled stargazers for thousands of years, and the search for answers helped spark the great advances of the scientific revolution in the 16th and 17th centuries. But only in our own time has the full picture of the true immensity, variety, and surpassing strangeness of the Universe come into focus.

You live with it 24 hours a day. But how well do you really know it? These 32 lectures are your owner's manual to a remarkably complex, resilient, and endlessly fascinating structure: the human body. Your guide is Dr. Anthony A. Goodman—surgeon, professor, and writer—who takes you step by step through the major systems of the body, explaining exactly how things work and why they sometimes don't.

Learn Data Science, Machine Learning (Artificial Intelligence), Deep Learning & more from the absolute basics!

Since we were young children, we have tried to understand, to predict, and to control behavior. We first dealt with our parents and teachers, and later our friends and companions. This course shows, however, how the understanding, prediction, and control of behavior require scientific validation.