Ergebnis für "Episode 11 - Science & Technology" in Wissenschaft & Technik

The Science of Information: From Language to Black Holes covers the exciting concepts, history, and applications of information theory in 24 challenging and eye-opening half-hour lectures taught by Professor Benjamin Schumacher of Kenyon College. A prominent physicist and award-winning educator at one of the nation’s top liberal arts colleges, Professor Schumacher is also a pioneer in the field of quantum information, which is the latest exciting development in this dynamic scientific field.

How much faith should we place in what scientists tell us? Is it possible for scientific knowledge to be fully "objective"? What, really, can be defined as science? In the second edition of this very short introduction, Samir Okasha explores the main themes and theories of contemporary philosophy of science and investigates fascinating, challenging questions such as these.

The bestselling author of Dogs That Know When Their Owners Are Coming Home offers an intriguing new assessment of modern day science that will radically change the way we view what is possible. In Science Set Free (originally published to acclaim in the UK as The Science Delusion), Dr. Rupert...

Is circuit engineering what you want to learn? Always wondered how one becomes an electrical engineer? Do semiconductors and circuit boards interest you? Purchase Circuit Engineering to discover everything you need to know about basic electronics. Step by step to increase your electrical skills. Learn the anatomy of a circuit. All your basic knowledge in one download!

Mystics and sages have long maintained that there exists an interconnecting cosmic field at the roots of reality that conserves and conveys information, a field known as the Akashic record. Recent discoveries in vacuum physics show that this Akashic field is real and has its equivalent in science's zero-point field that underlies space itself. This field consists of a subtle sea of fluctuating energies from which all things arise: atoms and galaxies, stars and planets, living beings, and even consciousness.

A science book for the general reader that is informative enough to be a popular textbook and yet well-written enough to appeal to general readers. “Hazen and Trefil [are] unpretentious—good, down-to-earth, we-can-explain-anything science teachers, the kind you wish you had but never did...

Leading-edge empirical observations are increasingly difficult to reconcile with "scientific" materialism, with analytic idealism—the notion that reality, while equally amenable to scientific inquiry, is fundamentally mental—a leading contender to replace it. In this book, the broad body of empirical evidence and reasoning in favor of analytic idealism is reviewed in an accessible manner. The resulting argument anticipates a historically imminent transition to a scientific worldview that regards mind, not matter, as the ground of all reality.

Science fiction allows us to go places we can only dream of seeing - other worlds, distant stars, entirely different galaxies. While not every story is concerned with the hard science behind space travel and other futuristic ventures, fiction can give us amazing insight into what we could be capable of and what we dream of doing. In these 10 lectures, Professor Erin Macdonald interweaves real science and the achievements of the imagination to reveal the truth that underlies our favorite stories and sheds light on what the future may hold.

If you've ever pondered where the mint in your toothpaste really comes from or wondered what The Hot Chocolate Effect is, then come explore and play along at home. The team also investigate everything from radioactive bananas and musical bicycle tyres to assisting you with mathematically efficient sock storage and how to host your very own static electricity party.

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.