Ways of Knowing


Book Description

This classic MUP text discusses the historical development of science, technology and medicine in Western Europe and North America from the Renaissance to the present. Combining theoretical discussion and empirical illustration, it redefines the geography of science, technology and medicine.




Science and Technology in World History, Volume 2


Book Description

Science is a living, organic activity, the meaning and understanding of which have evolved incrementally over human history. This book, the second in a roughly chronological series, explores the evolution of science from the advents of Christianity and Islam through the Middle Ages, focusing especially on the historical relationship between science and religion. Specific topics include technological innovations during the Middle Ages; Islamic science; the Crusades; Gothic cathedrals; and the founding of Western universities. Close attention is given to such figures as Paul the Apostle, Hippolytus, Lactantius, Cyril of Alexandria, Hypatia, Cosmas Indicopleustes, and the Prophet Mohammed.




Science and Technology in World History, Volume 1


Book Description

Science is a living, organic activity, the meaning and understanding of which have evolved incrementally over human history. This book, the first in a roughly chronological series, explores the development of the methodology and major ideas of science, in historical context, from ancient times to the decline of classical civilizations around 300 A.D. It includes details specific to the histories of specialized sciences including astronomy, medicine and physics--along with Roman engineering and Greek philosophy. It closely describes the contributions of such individuals as Pythagoras, Hippocrates, Socrates, Plato, Aristotle, Alexander the Great, Euclid, Archimedes, Ptolemy, Seneca, Pliny the Elder, and Galen.




The Historiography of Contemporary Science and Technology


Book Description

More than ninety percent of all scientific history has been made during the last half century. So far, however, only a fraction of historical scholarship has dealt with this period. Merely a decade ago, most scientific historians considered recent science - the scientific culture created, lived and remembered by contemporary scientists - an area of study best left to the historical actors themselves.







A History of Technoscience


Book Description

Are science and technology independent of one another? Is technology dependent upon science, and if so, how is it dependent? Is science dependent upon technology, and if so how is it dependent? Or, are science and technology becoming so interdependent that the line dividing them has become totally erased? This book charts the history of technoscience from the late nineteenth century to the end of the twentieth century and shows how the military–industrial–academic complex and big science combined to create new examples of technoscience in such areas as the nuclear arms race, the space race, the digital age, and the new worlds of nanotechnology and biotechnology.




Science and Technology in the Industrial Revolution


Book Description

Concentrating on the Industrial Revolution as experienced in Great Britain (and, within that sphere, mainly on the early development of the engineering and chemical industries), the authors develop the thesis that the interaction between theorists and men of practical affairs was much closer, more complex and more consequential than some historians of science have held it to be. Deeply researched, gracefully argued and fully documented. First published in 1969, and established now as a "classic" in the field, the present edition has a new foreword by Margaret C. Jacob. (NW) Annotation copyrighted by Book News, Inc., Portland, OR




The History of Science and Technology


Book Description

In this age of genetic engineering and global warming, it is more important than ever to understand the history and current trends of science and technology. With so much information out there, though, it's hard to know where to start. That's where The History of Science and Technology -- the most comprehensive and up-to-date chronology of its kind -- comes in. From the first stone tools to the first robot surgery, this easy-to-read, handy reference book offers more than seven thousand concise entries organized within ten major historical periods and categorized by subject, such as archaeology, biology, computers, food and agriculture, medicine and health, materials, and transportation. You can follow the world's scientific and technological feats forward or backward, year by year, and subject by subject. Under 8400 BCE Construction, you will discover that the oldest known wall was built in Jericho. Jump to 1454 Communication and you will learn about Johann Gutenberg's invention of movable type. Take an even larger leap to 2002 Computers and find out about the invention of the Earth Simulator, a Japanese supercomputer. The History of Science and Technology answers all the what, when, why, and how questions about our world's greatest discoveries and inventions: How are bridges built? When were bifocal eyeglasses invented and by whom? What medical discovery led to the introduction of sterilization, vaccines, and antibiotics? What is the PCR (polymerase chain reaction) process, and why is it one of the pillars of the biotechnology revolution? Not only can you discover how our world came to be and how it works, but with cross-referenced entries you can also trace many intricate and exciting connections across time. Highly browsable yet richly detailed, expertly researched and indexed, The History of Science and Technology is the perfect desktop reference for both the science novice and the technologically advanced reader alike.




Technoscience in History


Book Description

The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.