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.

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.

This course will introduce students to architectural design and computation through the use of computer modeling, rendering and digital fabrication. The course focuses on teaching architectural design with CAD drawing, 3-D modeling, rendering and rapid prototyping. Students will be required to build computer models that will lead to a full package of architectural explorations with computers. Each semester we will explore the design process of a particular building type and building material. The course also investigates a few design processes of selected architects. The course is critical of design principles and building production methods. Student Assignments and Labs are graded based on the quality of design, representation and constructability. Great design input is always encouraged.

Explores, through exercises, lectures, and discussion, the nature and exercise of architectural intelligence; investigates design as processes located in individuals and in groups; seeks to understand design as argument, as claims for which reasons can be adduced, as logic in which there are explicit sets of elements and relations among them, and as experiment in which design and its results are themselves used to inform future designs or simply to inquire. Subject aims to open avenues for further research.

This course is intended for students pursuing research projects at the Media Laboratory. Topics include Media Lab research areas, documenting research progress, ethical issues in research; patents, copyrights, intellectual property, and giving oral, written, and online presentations of results. A final oral presentation is required. Enrollment limited with preference given to students in the Media Arts and Sciences freshman program.

Learn about urban water services, focusing on conventional technologies for drinking water treatment. This course focuses on conventional technologies for drinking water treatment. Unit processes, involved in the treatment chain, are discussed as well as the physical, chemical and biological processes involved. The emphasis is on the effect of treatment on water quality and the dimensions of the unit processes in the treatment chain. After the course one should be able to recognise the process units, describe their function, and make basic calculations for a preliminary design of a drinking water treatment plant.

An introduction to several fundamental ideas in electrical engineering and computer science, using digital communication systems as the vehicle. The three parts of the course - bits, signals, and packets - cover three corresponding layers of abstraction that form the basis of communication systems like the Internet. The course teaches ideas that are useful in other parts of EECS: abstraction, probabilistic analysis, superposition, time and frequency-domain representations, system design principles and trade-offs, and centralized and distributed algorithms. The course emphasizes connections between theoretical concepts and practice using programming tasks and some experiments with real-world communication channels.

Introduction to Ecology is an open course remix of the OpenStax Biology open textbook. The remix includes a modular revision of parts of the text with supplemental questions added.