ITI, the Model

ITI, the Model PDF

Author: Susan Kovalik

Publisher: Discovery Press

Published: 1994

Total Pages: 347

ISBN-13: 9781878631183

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This book presents Integrated Thematic Instruction (ITI), a model for implementing a "brain-compatible" learning environment for students and teachers using a year-long theme to organize curriculum content and skills. The book's introduction identifies six "mismemes" (or mistaken ideas) that have hindered educational reform, and proposes seven "new memes" (or foundational premises) for education reform that are consistent with brain research and children's developmental characteristics. Also identified are eight brain-compatible implementation elements to create an environment that will enhance children's performance and provide the basis for successful learning experience. Chapter 1 then describes the three principles of the ITI model: that brain research must become the basis for decisions to improve education, that teaching is an art and science that must implement brain research in the classroom, and that curriculum development must occur at the classroom level based on the classroom teacher's understanding of the learners and community. Chapters 2 through 9 explain the eight brain-compatible implementation elements and how they can be applied to learning. The eight elements are: (1) absence of threat; (2) meaningful content; (3) choices; (4) adequate time; (5) enriched environment; (6) collaboration; (7) immediate feedback; and (8) mastery (application). Chapter 10 describes a brain-compatible curriculum, one that emphasizes pattern-seeking and program-building. Chapters 11 through 13 describe three steps in curriculum making: creating a year-long theme, determining the key concepts and skills to be mastered within year-long themes, and creating and using inquiries. Chapter 14 shows how the ITI model is not incompatible with teaching reading, writing, and mathematics skills. Finally, chapter 15 argues the need for personal transition if change is to be made. Five appendices present sample materials for building an ITI program. A glossary is included. Contains 35 references. (TM)

The Theory of Industrial Organization

The Theory of Industrial Organization PDF

Author: Jean Tirole

Publisher: MIT Press

Published: 1988-08-26

Total Pages: 1482

ISBN-13: 0262200716

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The Theory of Industrial Organization is the first primary text to treat the new industrial organization at the advanced-undergraduate and graduate level. Rigorously analytical and filled with exercises coded to indicate level of difficulty, it provides a unified and modern treatment of the field with accessible models that are simplified to highlight robust economic ideas while working at an intuitive level. To aid students at different levels, each chapter is divided into a main text and supplementary section containing more advanced material. Each chapter opens with elementary models and builds on this base to incorporate current research in a coherent synthesis. Tirole begins with a background discussion of the theory of the firm. In Part I he develops the modern theory of monopoly, addressing single product and multi product pricing, static and intertemporal price discrimination, quality choice, reputation, and vertical restraints. In Part II, Tirole takes up strategic interaction between firms, starting with a novel treatment of the Bertrand-Cournot interdependent pricing problem. He studies how capacity constraints, repeated interaction, product positioning, advertising, and asymmetric information affect competition or tacit collusion. He then develops topics having to do with long term competition, including barriers to entry, contestability, exit, and research and development. He concludes with a "game theory user's manual" and a section of review exercises. Important Notice: The digital edition of this book is missing some of the images found in the physical edition.

Artificial Intelligence and Industrial Applications

Artificial Intelligence and Industrial Applications PDF

Author: Tawfik Masrour

Publisher: Springer Nature

Published: 2023-10-16

Total Pages: 318

ISBN-13: 3031435249

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Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization. A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice. Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.

Discrete Choice Methods with Simulation

Discrete Choice Methods with Simulation PDF

Author: Kenneth Train

Publisher: Cambridge University Press

Published: 2009-07-06

Total Pages: 399

ISBN-13: 0521766559

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This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

Determining the Feasibility of Incorporating Water Resource Constraints Into Energy Models

Determining the Feasibility of Incorporating Water Resource Constraints Into Energy Models PDF

Author: Nathan Buras

Publisher:

Published: 1979

Total Pages: 154

ISBN-13:

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Development of energy sources and generation of electric power require substantial amounts of water. The water is necessary as process water in the production of synthetic fuels, and as cooling water in almost all activities related to the development of energy resources and in thermoelectric power plants. Yet existing energy-economy models do not explicitly take account of the availability of water resources for energy-related activities. The objective of this project was to express, in a general form, the availability of regional water resources and to determine the feasibility of integrating these availabilities into energy models. Two models were used for the study: the Regional Energy System Optimization Model (RESOM), currently under development at the Brookhaven National Laboratory, and the Energy Policy Model (EPM), developed at the Lawrence Livermore Laboratory.

Applied Univariate, Bivariate, and Multivariate Statistics Using Python

Applied Univariate, Bivariate, and Multivariate Statistics Using Python PDF

Author: Daniel J. Denis

Publisher: John Wiley & Sons

Published: 2021-07-14

Total Pages: 304

ISBN-13: 1119578183

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Applied Univariate, Bivariate, and Multivariate Statistics Using Python A practical, “how-to” reference for anyone performing essential statistical analyses and data management tasks in Python Applied Univariate, Bivariate, and Multivariate Statistics Using Python delivers a comprehensive introduction to a wide range of statistical methods performed using Python in a single, one-stop reference. The book contains user-friendly guidance and instructions on using Python to run a variety of statistical procedures without getting bogged down in unnecessary theory. Throughout, the author emphasizes a set of computational tools used in the discovery of empirical patterns, as well as several popular statistical analyses and data management tasks that can be immediately applied. Most of the datasets used in the book are small enough to be easily entered into Python manually, though they can also be downloaded for free from www.datapsyc.com. Only minimal knowledge of statistics is assumed, making the book perfect for those seeking an easily accessible toolkit for statistical analysis with Python. Applied Univariate, Bivariate, and Multivariate Statistics Using Python represents the fastest way to learn how to analyze data with Python. Readers will also benefit from the inclusion of: A review of essential statistical principles, including types of data, measurement, significance tests, significance levels, and type I and type II errors An introduction to Python, exploring how to communicate with Python A treatment of exploratory data analysis, basic statistics and visual displays, including frequencies and descriptives, q-q plots, box-and-whisker plots, and data management An introduction to topics such as ANOVA, MANOVA and discriminant analysis, regression, principal components analysis, factor analysis, cluster analysis, among others, exploring the nature of what these techniques can vs. cannot do on a methodological level Perfect for undergraduate and graduate students in the social, behavioral, and natural sciences, Applied Univariate, Bivariate, and Multivariate Statistics Using Python will also earn a place in the libraries of researchers and data analysts seeking a quick go-to resource for univariate, bivariate, and multivariate analysis in Python.

Software Product Lines

Software Product Lines PDF

Author: Patrick Donohoe

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 527

ISBN-13: 1461543398

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Software product lines are emerging as a critical new paradigm for software development. Product lines are enabling organizations to achieve impressive time-to-market gains and cost reductions. With the increasing number of product lines and product-line researchers and practitioners, the time is right for a comprehensive examination of the issues surrounding the software product line approach. The Software Engineering Institute at Carnegie Mellon University is proud to sponsor the first conference on this important subject. This book comprises the proceedings of the First Software Product Line Conference (SPLC1), held August 28-31, 2000, in Denver, Colorado, USA. The twenty-seven papers of the conference technical program present research results and experience reports that cover all aspects of software product lines. Topics include business issues, enabling technologies, organizational issues, and life-cycle issues. Emphasis is placed on experiences in the development and fielding of product lines of complex systems, especially those that expose problems in the design, development, or evolution of software product lines. The book will be essential reading for researchers and practitioners alike.