Computer-generated effects are often blamed for bad Hollywood movies. Yet when a critic complains that "technology swamps storytelling" (in a review of Van Helsing, calling it "an example of everything that is wrong with Hollywood computer-generated effects movies"), it says more about the weakness of the story than the...
This is the textbook for the MIT course ‘‘Software Engineering for Internet Applications.’’ The course is intended for juniors and seniors in computer science. We assume that they know how to write a computer program and debug it. We do not assume knowledge of any particular programming languages,...
In these Messenger Lectures, originally delivered at Cornell University and recorded for television by the BBC, Richard Feynman offers an overview of selected physical laws and gathers their common features into one broad principle of invariance. He maintains at the outset that the importance of a physical law is not "how clever...
Handling inherent uncertainty and exploiting compositional structure are fundamental to understanding and designing large-scale systems. Statistical relational learning builds on ideas from probability theory and statistics to address uncertainty while incorporating tools from logic, databases, and programming languages to represent structure. In...
A guide to the basics of information visualization that teaches nonprogrammers how to use advanced data mining and visualization techniques to design insightful visualizations.
In the age of Big Data, the tools of information visualization offer us a macroscope to help us make sense of the avalanche of data...
The combination of two of the twentieth century's most influential and revolutionary scientific theories, information theory and quantum mechanics, gave rise to a radically new view of computing and information. Quantum information processing explores the implications of using quantum mechanics instead of classical mechanics to model...
"The issue of data quality has become increasingly important over the last decade as the amount of data being collected and stored continues to increase at a rapid rate. These researchers have been at the forefront of understanding the impact and implication of the quality of data on organizations. These issues will continue to grow in...
Learning to perform complex action strategies is an important problem in the fields of artificial intelligence, robotics, and machine learning. Filled with interesting new experimental results, Learning in Embedded Systems explores algorithms that learn efficiently from trial-and error experience with an external world. It is the first...
"Quantum Computing without Magic gives a refreshing and down to earth approach to quantum information as well as quantum devices which will have a fundamental impact on the technology of the 21st century." —Raymond Laflamme, Canada Research Chair in Quantum Information, and Director, Institute for...
There are two schools of thought about teaching computer science. We might caricature the two views this way:
· The conservative view: Computer programs have become too large and complex to encompass in a human mind. Therefore, the job of computer science education is to teach people how to discipline their work in such a way...
Within the field of logic programming there have been numerous attempts to transform grammars into logic programs. This book describes a complementary approach that views logic programs as grammars and shows how this new presentation of the foundations of logic programming, based on the notion of proof trees, can enrich the field. ...
This mathematically oriented introduction to the theory of logic programming presents a systematic exposition of the resolution method for propositional, first-order, and Horn- clause logics, together with an analysis of the semantic aspects of the method. It is through the inference rule of resolution that both proofs and computations can be...
