|The United Kingdom Marine Climate Change Impacts Partnership (MCCIP) aims to coordinate research, evidence and policy advice on the impact of climate change on the marine environment. Its website lists partner organisations, scientists and government agencies|
8.09 Classical Mechanics (MIT)
This class provides a formal introduction to classical mechanics, Euler-Lagrange equations, Hamilton's equations of motion used to describe central force motion, scattering, perturbation theory and Noether's theorem. The course also extends to continuous and relativistic systems and classical electrodynamics.
18.465 Topics in Statistics: Statistical Learning Theory (MIT)
The main goal of this course is to study the generalization ability of a number of popular machine learning algorithms such as boosting, support vector machines and neural networks. Topics include Vapnik-Chervonenkis theory, concentration inequalities in product spaces, and other elements of empirical process theory.
5.43 Advanced Organic Chemistry (MIT)
This course deals with the application of structure and theory to the study of organic reaction mechanisms: Stereochemical features including conformation and stereoelectronic effects; reaction dynamics, isotope effects and molecular orbital theory applied to pericyclic and photochemical reactions; and special reactive intermediates including carbenes, carbanions, and free radicals.
18.304 Undergraduate Seminar in Discrete Mathematics (MIT)
This course is a student-presented seminar in combinatorics, graph theory, and discrete mathematics in general. Instruction and practice in written and oral communication is emphasized, with participants reading and presenting papers from recent mathematics literature and writing a final paper in a related topic.
14.385 Nonlinear Econometric Analysis (MIT)
This course presents micro-econometric models, including large sample theory for estimation and hypothesis testing, generalized method of moments (GMM), estimation of censored and truncated specifications, quantile regression, structural estimation, nonparametric and semiparametric estimation, treatment effects, panel data, bootstrapping, simulation methods, and Bayesian methods. The methods are illustrated with economic applications.
11.201 Gateway: Planning Action (MIT)
This course introduces incoming students in the Master in City Planning (MCP) program to the theory and history of planning in the public interest. It relies primarily on challenging real-world cases to highlight persistent dilemmas: the power and limits of planning, the multiple roles in which planners find themselves in communities around the globe, and the political, ethical, and practical dilemmas that planners face as they try to be effective. As such, the course provides an introduction to
9th Annual National Latina/o Law Student Association Conference: Latina/o Human Trafficking
Measuring Health and Disease 1: Introduction to Epidemiology
This module aims to enhance the measurement skills essential for effective Public Health practice. It complements the other modules and lays the foundation for further study or work in the field of Epidemiology and health research. It provides an introduction to the concepts, methods and role of Epidemiology in Public Health and provides a variety of tools for the assessment and interpretation of health problems.
CAPITAL - Curriculum and Pedagogy in Technology Assisted Learning
The aim of this report is to synthesise the Capital work over the last two years, identifying the most promising strands for development in educational technology as well as the circumstances that need to be created to take up these opportunities. Importantly, this report structures the work in order to communicate findings as clearly as possible for a wide audience of researchers, policy makers and education leaders.,Year 3 final report: Shaping Contexts to realise the potential of technologies
A Design Approach to Research in Technology Enhanced Mathematics Education
This thesis explores the prospect of a design science of technology enhanced mathematics education (TEME), on three levels: epistemological, methodological and pedagogical. Its primary domain is the identification of scientific tools for design research in TEME. The outputs of this enquiry are evaluated by a demonstrator study in the domain of secondary school mathematics.
A review of existing literature establishes a need for a design perspective in TEME research, but at the same time suggests
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