Computational Methods for Optimizing Manufacturing Technology

A guide to computational thinking education, with a focus on artificial intelligence literacy and the integration of computing and physical objects. Computing has become an essential part of today’s primary and secondary school curricula. In recent years, K–12 computer education has shifted from computer science itself to the broader perspective of computational thinking (CT), which is less about technology than a way of thinking and solving problems―“a fundamental skill for everyone, not just computer scientists,” in the words of Jeanette Wing, author of a foundational article on CT. This volume introduces a variety of approaches to CT in K–12 education, offering a wide range of international perspectives that focus on artificial intelligence (AI) literacy and the integration of computing and physical objects. The book first offers an overview of CT and its importance in K–12 education, covering such topics as the rationale for teaching CT; programming as a general problem-solving

This book offers an introduction to current methods in computational modeling in neuroscience. The book describes realistic modeling methods at levels of complexity ranging from molecular interaction

Policy makers need quantitative as well as qualitative answers to pressing policy questions. Because of advances in computational methods, quantitative estimates are now derived from coherent nonline

A detailed examination of Soviet educational policy and structure, which raises some questions about American educational aims and methods.

Progress in micro- and nano-scale science and technology has created a demand for new microsystems for high-impact applications in healthcare, biotechnology, manufacturing, and mobile sensor networks.

A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learnin

This book offers a practical guide to the computational methods at the heart of most modern quantitative research. It will be essential reading for research assistants needing hands-on experience; stu

An introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments. Cognitive neuroscientists need sophisticated conceptual tools to make sense of their field’s proliferation of novel theories, methods, and data. Computational modeling is such a tool, enabling researchers to turn theories into precise formulations. This book offers a mathematically gentle and theoretically unified introduction to modeling cognitive processes. Theoretical exercises of varying degrees of difficulty throughout help readers develop their modeling skills. After a general introduction to cognitive modeling and optimization, the book covers models of decision making; supervised learning algorithms, including Hebbian learning, delta rule, and backpropagation; the statistical model analysis methods of model parameter estimation and model evaluation; the three recent cognitive modeling approaches of reinforcement learning, unsupervised learning, and

Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets.Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow―and show how a human-centered approach can enhance each one, by making the process more transparent, aski

An accessible guide to cybersecurity for the everyday user, covering cryptography and public key infrastructure, malware, blockchain, and other topics.It seems that everything we touch is connected to the internet, from mobile phones and wearable technology to home appliances and cyber assistants. The more connected our computer systems, the more exposed they are to cyber attacks--attempts to steal data, corrupt software, disrupt operations, and even physically damage hardware and network infrastructures. In this volume of the MIT Press Essential Knowledge series, cybersecurity expert Duane Wilson offers an accessible guide to cybersecurity issues for everyday users, describing risks associated with internet use, modern methods of defense against cyber attacks, and general principles for safer internet use. Wilson describes the principles that underlie all cybesecurity defense: confidentiality, integrity, availability, authentication, authorization, and non-repudiation (validating the

Technology companies claim to connect people through touchscreens, but by conflating physical contact with emotional sentiments, they displace the constructed aspects of devices and women and other oppressed individuals’ critiques of how such technologies function.Technology companies and device designers correlate touchscreens and online sites with physical contact and emotional sentiments, promising unmediated experiences in which the screen falls away in favor of visceral materiality and connections. While touchscreens are key elements of most people’s everyday lives, critical frameworks for understanding the embodied experiences of using them are wanting. In Touch Screen Theory, Michele White focuses on the relation between physically touching and emotionally feeling to recenter the bodies and identities that are empowered, produced, and displaced by these digital technologies and settings. Drawing on detailed cases and humanities methods, White shows how and why gender, race, and

There are many excellent computational biology resources now available for learning about methods that have been developed to address specific biological systems, but comparatively little attention h

The interplay between optimization and machine learning is one of the most importantdevelopments in modern computational science. Optimization formulations and methods are proving tobe vital in design