15.057 Systems Optimization (MIT)
Managers and engineers are constantly attempting to optimize, particularly in the design and operation of complex systems. This course is an application-oriented introduction to (systems) optimization. It seeks to: Motivate the use of optimization models to support managers and engineers in a wide variety of decision making situations; Show how several application domains (industries) use optimization; Introduce optimization modeling and solution techniques (including linear, non-linear, intege
6.345 Automatic Speech Recognition (MIT)
6.345 introduces students to the rapidly developing field of automatic speech recognition. Its content is divided into three parts. Part I deals with background material in the acoustic theory of speech production, acoustic-phonetics, and signal representation. Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques. Part III compares and contrasts the various approaches to sp
2.997 Decision Making in Large Scale Systems (MIT)
This course is an introduction to the theory and application of large-scale dynamic programming. Topics include Markov decision processes, dynamic programming algorithms, simulation-based algorithms, theory and algorithms for value function approximation, and policy search methods. The course examines games and applications in areas such as dynamic resource allocation, finance and queueing networks.
11.949 City Visions: Past and Future (MIT)
This class is intended to introduce students to understandings of the city generated from both social science literature and the field of urban design. The first part of the course examines literature on the history and theory of the city. Among other factors, it pays special attention to the larger territorial settings in which cities emerged and developed (ranging from the global to the national to the regional context) and how these affected the nature, character, and functioning of citi
7 Unofficial work cultures
In this unit, we are going to look at a number of situations which put a strain on the idea that caring is just 'being ordinary', including times when people are giving intimate care. In these special circumstances, since the normal rules do not apply, we have to develop a set of special rules to guide practice.
18.413 Error-Correcting Codes Laboratory (MIT)
This course introduces students to iterative decoding algorithms and the codes to which they are applied, including Turbo Codes, Low-Density Parity-Check Codes, and Serially-Concatenated Codes. The course will begin with an introduction to the fundamental problems of Coding Theory and their mathematical formulations. This will be followed by a study of Belief Propagation--the probabilistic heuristic which underlies iterative decoding algorithms. Belief Propagation will then be applied to the dec
Introduction to Artificial Intelligence - Introduction to Problem Solving as Search
This tutorial forms part of the "Introduction to Problem Solving as Search" topic in the Introduction to Artificial Intelligence module.
The influence of representational format on learner-generated domain representations and mathematica
The purpose of this study was (a) to assess the effects of learner-generated domain representations on understanding combinatorics and probability theory and (b) to investigate the effects of the format (graphical, arithmetical, or textual) in which learners create their domain representation. A pretest-posttest design was applied in which four conditions were compared: three experimental conditions in which learners constructed a personal representation of the domain in a graphical, arithmetica
6.831 User Interface Design and Implementation (MIT)
6.831 introduces the principles of user interface development, focusing on three key areas: Design: How to design good user interfaces, starting with human capabilities (including the human information processor model, perception, motor skills, color, attention, and errors) and using those capabilities to drive design techniques: task analysis, user-centered design, iterative design, usability guidelines, interaction styles, and graphic design principles. Implementation: Techniques for buildi
8.591J Systems Biology (MIT)
This course introduces the mathematical modeling techniques needed to address key questions in modern biology. An overview of modeling techniques in molecular biology and genetics, cell biology and developmental biology is covered. Key experiments that validate mathematical models are also discussed, as well as molecular, cellular, and developmental systems biology, bacterial chemotaxis, genetic oscillators, control theory and genetic networks, and gradient sensing systems. Additional specific t
11.487 Urban Public Finance in Developing Countries (MIT)
This readings-based course analyzes the structure and operation of government systems in developing countries, with particular emphasis on regional and local governments. Major topics include: the role of decentralization in national economic reform programs, the potential impact of decentralized governments on local economic development, determination of optimal arrangements for sharing fiscal responsibilities among levels of government, evaluation of local revenue and expenditure decisions, an
STS.320 Environmental Conflict and Social Change (MIT)
This graduate-level class explores the complex interrelationships among humans and natural environments, focusing on non-western parts of the world in addition to Europe and the United States. It uses environmental conflict to draw attention to competing understandings and uses of "nature" as well as the local, national and transnational power relationships in which environmental interactions are embedded. In addition to utilizing a range of theoretical perspectives, this subject draws upon a se
6.092 Java Preparation for 6.170 (MIT)
This course focuses on introducing the language, libraries, tools and concepts of JavaTM. The course is specifically targeted at students who intend to take 6.170 in the following term and feel they would struggle because they lack the necessary background. Topics include: Object-oriented programming, primitives, arrays, objects, inheritance, interfaces, polymorphism, hashing, data structures, collections, nested classes, floating point precision, defensive programming, and depth-first search al
11.701 Introduction to Planning and Institutional Processes in Developing Countries (MIT)
This introductory course is structured to cultivate the key sensibilities necessary for effective planning practice in newly industrializing countries. The word "sensibility" refers to an awareness of key developmental issues, interdependent causalities, and anticipated as well as unanticipated consequences of social action which mark most planning efforts. In cultivating such sensibilities, this course will use examples from varying institutional settings, ranging from the local to the internat
Lecture 49 - Galaxies and the Local Group
AST 114: Survey of Astronomy - Lecture Videos - Lecture 49 - Galaxies and the Local Group - Missouri State University > COMPLETE COURSES > AST 114: Survey of Astronomy > Lecture Videos > Lecture 49 - Galaxies and the Local Group
6.046J Introduction to Algorithms (SMA 5503) (MIT)
This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing.This course was also taught as part of the Singapore-MIT Alliance (SMA) program
16.410 Principles of Autonomy and Decision Making (MIT)
This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, reasoning under uncertainty, and machine learning. Optimization
20.104J Chemicals in the Environment: Toxicology and Public Health (BE.104J) (MIT)
This course addresses the challenges of defining a relationship between exposure to environmental chemicals and human disease. Course topics include epidemiological approaches to understanding disease causation; biostatistical methods; evaluation of human exposure to chemicals, and their internal distribution, metabolism, reactions with cellular components, and biological effects; and qualitative and quantitative health risk assessment methods used in the U.S. as bases for regulatory decision-ma
18.786 Topics in Algebraic Number Theory (MIT)
This course is a first course in algebraic number theory. Topics to be covered include number fields, class numbers, Dirichlet's units theorem, cyclotomic fields, local fields, valuations, decomposition and inertia groups, ramification, basic analytic methods, and basic class field theory. An additional theme running throughout the course will be the use of computer algebra to investigate number-theoretic questions; this theme will appear primarily in the problem sets.
11.945 Katrina Practicum (MIT)
In the wake of Katrina the entire gulf coast is embroiled in a struggle over what constitutes "appropriate" rebuilding and redevelopment efforts. This practicum will engage students in a set of work groups designed to assist local community based institutions and people in shaping the policy and practices that will guide the redevelopment and rebuilding efforts in the city of New Orleans.