Drought Analysis and Management
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24.973 Advanced Semantics (MIT)
This course is the second of the three parts of our graduate introduction to semantics. The others are 24.970 Introduction to Semantics and 24.954 Pragmatics in Linguistic Theory. Like the other courses, this one is not meant as an overview of the field and its current developments. Our aim is to help you to develop the ability for semantic analysis, and we think that exploring a few topics in detail together with hands-on practical work is more effective than offering a bird's-eye view of every
18.311 Principles of Applied Mathematics (MIT)
This course is about mathematical analysis of continuum models of various natural phenomena. Such models are generally described by partial differential equations (PDE) and for this reason much of the course is devoted to the analysis of PDE. Examples of applications come from physics, chemistry, biology, complex systems: traffic flows, shock waves, hydraulic jumps, bio-fluid flows, chemical reactions, diffusion, heat transfer, population dynamics, and pattern formation.
11.947 Urbanization and Development (MIT)
The course examines the causes and effects of rapid urbanization in developing countries. Using case studies from the world's four major developing regions, including (among others) Mexico City, Buenos Aires, Managua, Singapore, Hong Kong, Guangzhou, Kabul, Beirut, Cairo, Kinshasa, Cape Town and Johannesburg, it explores the economic and political dynamics that grease the wheels of contemporary patterns of growth. In addition to examining both local and transnational forces that drive contempora
Belbin's team roles : managing the work of individuals and teams
Belbin and Woodcock's analysis of team development : presentation transcript is a presentation about managing the work of individuals and teams (HNC In Engineering – Design for manufacture Edexcel HN Unit: Engineering Science (NQF L4) © Leicester College 2009). Teamwork plays a vital role in successfully developing products for the market place. This presentation discusses the types of roles the team members can fulfil and how to get the most out of both the individual and the team as a whole
ESD.70J Engineering Economy Module (MIT)
This intensive micro-subject provides the necessary skills in Microsoft® Excel spreadsheet modeling for ESD.71 Engineering Systems Analysis for Design. Its purpose is to bring entering students up to speed on some of the advanced techniques that we routinely use in analysis. It is motivated by our experience that many students only have an introductory knowledge of Excel, and thus waste a lot of time thrashing about unproductively. Many people think they know Excel, but overlook many efficie
6.012 Microelectronic Devices and Circuits (MIT)
6.012 is the header course for the department's "Devices, Circuits and Systems" concentration. The topics covered include: modeling of microelectronic devices, basic microelectronic circuit analysis and design, physical electronics of semiconductor junction and metal-on-silicon (MOS) devices, relation of electrical behavior to internal physical processes, development of circuit models, and understanding the uses and limitations of various models. The course uses incremental and large-signal tech
Virtual Maths, Shapes, Space and Measure, Sine, Cosine, Tangent, and Theta
Interactive tool demonstrating formulae for sine, cosine, and tangent with Theta
Web Analysis and Design - Analyse
This reading material forms part of the "Analyse" topic in the Web Analysis and Design module.
CMS.608 Game Design (MIT)
An historical examination and analysis of the evolution and development of games and game mechanics. Topics include a large breadth of genres and types of games, including sports, game shows, games of chance, schoolyard games, board games, roleplaying games, and digital games. Students submit essays documenting research and analysis of a variety of traditional and eclectic games. Project teams required to design, develop, and thoroughly test their original games.
14.64 Labor Economics and Public Policy (MIT)
This course is an introduction to labor economics with an emphasis on applied microeconomic theory and empirical analysis. We are especially interested in the link between research and public policy. Topics to be covered include: labor supply and demand, taxes and transfers, minimum wages, immigration, human capital, education production, inequality, discrimination, unions and strikes, and unemployment.
6.047 Computational Biology: Genomes, Networks, Evolution (MIT)
This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques. We use these to analyze real datasets from large-scale studies in genomics and proteomics. The topics covered include: Genomes: biological sequence analysis, hidden Markov models, gene finding, RNA folding, sequence alignment, genome assembly Networks
17.951 Nuclear Weapons in International Politics: Past, Present and Future (MIT)
This course will expose students to tools and methods of analysis for use in assessing the challenges and dangers associated with nuclear weapons in international politics. The first two weeks of the course will look at the technology and design of nuclear weapons and their means of production. The next five weeks will look at the role they played in the Cold War, the organizations that managed them, the technologies that were developed to deliver them, and the methods used to analyze nuclear fo
6.088 Introduction to C Memory Management and C++ Object-Oriented Programming (MIT)
Ever hang your head in shame after your Python program wasn't as fast as your friend's C program? Ever wish you could use objects without having to use Java? Join us for this fun introduction to C and C++! We will take you through a tour that will start with writing simple C programs, go deep into the caves of C memory manipulation, resurface with an introduction to using C++ classes, dive deeper into advanced C++ class use and the C++ Standard Template Libraries. We'll wrap up by teaching you s
Structured Systems Analysis - Required Logical DFDs
This video lecture forms part of the "Required Logical DFDs" topic in the Structured Systems Analysis module.
12.141 Electron Microprobe Analysis by Wavelength Dispersive X-ray Spectrometry (MIT)
This lab-oriented course introduces the student to the subject of X-ray spectrometry and micro-scale chemical quantitative analysis of solid samples through an intensive series of hands-on laboratory exercises that use the electron microprobe.
6.092 Introduction to Programming in Java (MIT)
This course is an introduction to software engineering, using the Java™ programming language. It covers concepts useful to 6.005. Students will learn the fundamentals of Java. The focus is on developing high quality, working software that solves real problems. The course is designed for students with some programming experience, but if you have none and are motivated you will do fine. Students who have taken 6.005 should not take this course. Each class is composed of one hour of lecture a
14.461 Advanced Macroeconomics I (MIT)
This course covers three sets of topics. The first part will cover business cycle models with imperfect information. We will ask questions such as: What shocks drive business cycles? What is the relative role of shocks to fundamentals and shocks affecting expectations about (current and future) economic developments? How do informational frictions affect the shape of the responses to various shocks? The second part will cover models of investment with credit constraints. We will ask questions
9.63 Laboratory in Visual Cognition (MIT)
9.63 teaches principles of experimental methods in human perception and cognition, including design and statistical analysis. The course combines lectures and hands-on experimental exercises and requires an independent experimental project. Some experience in programming is desirable. To foster improved writing and presentation skills in conducting and critiquing research in cognitive science, students are required to provide reports and give oral presentations of three team experiments. A fourt
16.842 Fundamentals of Systems Engineering (MIT)
This course introduces the principles and methods of Systems Engineering. Lectures follow the "V"-model of Systems Engineering, including needs identification, requirements formulation, concept generation and selection, trade studies, preliminary and detailed design, component and subsystem test and integration as well as functional testing and delivery and operations. Additional concepts such as tradeoffs between performance, cost and system operability will be discussed. Systems Engi