Students explore the basics of DC circuits, analyzing the light from light bulbs when connected in series and parallel circuits. Ohm's law and the equation for power dissipated by a circuit are the two primary equations used to explore circuits connected in series and parallel. Students measure and see the effect of power dissipation from the light bulbs. Kirchhoff's voltage law is used to show how two resistor elements add in series, while Kirchhoff's current law is used to explain how two resistor elements add when in parallel. Students also learn how electrical engineers apply this knowledge to solve problems. Power dissipation is particularly important with the introduction of LED bulbs and claims of energy efficiency, and understanding how power dissipation is calculated helps when evaluating these types of claims. This activity is designed to introduce students to the concepts needed to understand how circuits can be reduced algebraically.

This course examines civic media in comparative, transnational and historical perspectives through the use of various theoretical tools, research approaches, and project design methods.

Introduces students to the theory, tools, and techniques of engineering design and creative problem-solving, as well as design issues and practices in civil engineering. Includes several design cases, with an emphasis on built facilities (e.g., buildings, bridges and roads). Project design explicitly concerns technical approaches as well as consideration of the existing built environment, natural environment, economic and social factors, and expected life span. A large design case is introduced which is used in the subsequent specialty area design subjects (1.031, 1.041, 1.051) and the capstone design subject (1.013).

In this sophomore design course, you will be challenged with three design tasks: a first concerning water resources/treatment, a second concerning structural design, and a third focusing on the conceptual (re)design of a large system, Boston's Back Bay. The first two tasks require the design, fabrication and testing of hardware. Several laboratory experiments will be carried out and lectures will be presented to introduce students to the conceptual and experimental basis for design in both domains.

You are probably reading this book because you are taking an introductory Communication course at your college or university. Many colleges and universities around the country require students to take some type of communication course in order to graduate. Introductory Communication classes include courses on public speaking, interpersonal communication, or a class that combines both. While these are some of the most common introductory Communication courses, many Communication departments are now offering an introductory course that explains what Communication is, how it is studied as an academic field, and what areas of specialization make up the field of Communication. In other words, these are survey courses similar to courses such as Introduction to Sociology or Introduction to Psychology. Our goal in this text is to introduce you to the field of Communication as an academic discipline of study.

This course examines signals, systems and inference as unifying themes in communication, control and signal processing. Topics include input-output and state-space models of linear systems driven by deterministic and random signals; time- and transform-domain representations in discrete and continuous time; group delay; state feedback and observers; probabilistic models; stochastic processes, correlation functions, power spectra, spectral factorization; least-mean square error estimation; Wiener filtering; hypothesis testing; detection; matched filters.

This textbook will show you how to comprehensively analyze, investigate, and address escalating problems of economic inequality, violence, substance abuse, homelessness, poverty, and racism. It will provide you with perspectives and tools to partner with community members and organizations to promote a fair and equitable allocation of resources and opportunities.

This class first offers some basic analytical frameworks -- culture, social structure, and institutions -- that you can use to examine a wide range of political outcomes. We then use these frameworks to understand (1) the relationship between democracy and economic development and (2) the relative centralization of political authority across countries. We will use theoretical arguments and a wide range of case studies to address several questions: Why are some countries democratic and others not? How does democracy affect economic development and political conflict? Why do some countries centralize power while others threaten to fall apart through secession and civil war? We will use examples from a wide range of countries including Argentina, Brazil, Germany, Iraq, Italy, Mexico, and the United States. The lessons drawn from these countries will prepare you to analyze other countries of your own choosing in the paper assignments. At the end of the course, you should be able to analyze political events around the world, drawing on the theoretical explanations provided in the class.

This course gives a mathematical introduction to neural coding and dynamics. Topics include convolution, correlation, linear systems, game theory, signal detection theory, probability theory, information theory, and reinforcement learning. Applications to neural coding, focusing on the visual system are covered, as well as, Hodgkin-Huxley and other related models of neural excitability, stochastic models of ion channels, cable theory, and models of synaptic transmission. Visit the Seung Lab Web site.

Introduction to Computer Graphics is a free, on-line textbook covering the fundamentals of computer graphics and computer graphics programming. This book is meant for use as a textbook in a one-semester course that would typically be taken by undergraduate computer science majors in their third or fourth year of college.

Welcome to the website for An Introduction to Computer Networks, a free and open general-purpose computer-networking textbook, complete with diagrams and exercises. It covers the LAN, internetworking and transport layers, focusing primarily on TCP/IP. Particular attention is paid to congestion; other special topics include queuing, real-time traffic, network management, security and the ns simulator.

The book is suitable as the primary text for an undergraduate or introductory graduate course in computer networking, as a supplemental text for a wide variety of network-related courses, and as a reference work.

This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python programming language.

This course presents the fundamentals of object-oriented software design and development, computational methods and sensing for engineering, and scientific and managerial applications. It cover topics, including design of classes, inheritance, graphical user interfaces, numerical methods, streams, threads, sensors, and data structures. Students use Java programming language to complete weekly software assignments. How is 1.00 different from other intro programming courses offered at MIT? 1.00 is a first course in programming. It assumes no prior experience, and it focuses on the use of computation to solve problems in engineering, science and management. The audience for 1.00 is non-computer science majors. 1.00 does not focus on writing compilers or parsers or computing tools where the computer is the system; it focuses on engineering problems where the computer is part of the system, or is used to model a physical or logical system. 1.00 teaches the Java programming language, and it focuses on the design and development of object-oriented software for technical problems. 1.00 is taught in an active learning style. Lecture segments alternating with laboratory exercises are used in every class to allow students to put concepts into practice immediately; this teaching style generates questions and feedback, and allows the teaching staff and students to interact when concepts are first introduced to ensure that core ideas are understood. Like many MIT classes, 1.00 has weekly assignments, which are programs based on actual engineering, science or management applications. The weekly assignments build on the class material from the previous week, and require students to put the concepts taught in the small in-class labs into a larger program that uses multiple elements of Java together.

Studies important twentieth-century texts from Spain and Latin America that represent the principal fictional genres--poetry, theatre, short story, and the novel. Includes works by Bombal, Lorca, Neruda, Vallejo, Machado, and GarcĚ_a MĚÁrquez. Taught in Spanish. Subject offered Spring 2003 and Fall 2004.

This textbook provides context and essential concepts across the entire range of legal issues with which managers and business executives must grapple. The text provides the vocabulary and legal acumen necessary for businesspeople to talk in an educated way to their customers, employees, suppliers, government officials—and to their own lawyers.

This course aims to give students the tools and training to recognize convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results that are useful in applications. Topics include convex sets, convex functions, optimization problems, least-squares, linear and quadratic programs, semidefinite programming, optimality conditions, and duality theory. Applications to signal processing, control, machine learning, finance, digital and analog circuit design, computational geometry, statistics, and mechanical engineering are presented. Students complete hands-on exercises using high-level numerical software. Acknowledgements The course materials were developed jointly by Prof. Stephen Boyd (Stanford), who was a visiting professor at MIT when this course was taught, and Prof. Lieven Vanderberghe (UCLA).

This textbook introduces readers to the idea of cooperation and mutualism. Cooperatives and mutuals are participatory organizations in which members participate in control and governance, receive economic benefits through patronage refunds or net income, and become owners through equity. These mutual-benefit organizations exist alongside non-profit organizations and investor-benefit organizations through the global economy.

Imagine that you are a bank and a main part of your daily business is to lend money. Unfortunately, lending money is a risky business – there is no 100% guarantee that you will get all your money back. If the borrower defaults, you will face losses in your portfolio. Or, in a bit less extreme scenario, if the credit quality of your counterparty deteriorates according to some rating system, the loan will become more risky. These are typical situations in which credit risk manifests itself.

According to the Basel Accord, a global regulation framework for financial institutions, credit risk is one of the three fundamental risks a bank or any other regulated financial institution has to face when operating in the markets (the two other risks being market risk and operational risk). As the 2008 financial crisis has shown us, a correct understanding of credit risk and the ability to manage it are fundamental in today’s world.

This course offers you an introduction to credit risk modelling and hedging. We will approach credit risk from the point of view of banks, but most of the tools and models we will overview can be beneficial at the corporate level as well.

At the end of the course, you will be able to understand and correctly use the basic tools of credit risk management, both from a theoretical and, most of all, a practical point of view. This will be a quite unconventional course. For each methodology, we will analyse its strengths as well as its weaknesses. We will do this in a rigorous way, but also with fun: there is no need to be boring.

Introduction to Criminal Investigation, Processes, Practices, and Thinking is a teaching text designed to assist the student in developing their own structured mental map of processes, practices, and thinking to conduct criminal investigations.

Delineating criminal investigation into operational descriptors of tactical-response and strategic response while using illustrations of task-skills and thinking-skills, the reader is guided into structured thinking practices. Using the graphic tools of a “Response Transition Matrix”, an “Investigative Funnel”, and the “STAIR Tool”, the reader is shown how to form their own mental map of investigative thinking that can later be articulated in support of forming their reasonable grounds to believe.