3 Classes (33 Units)

12.747 (12), 14.31 (12), ESD.864 (9)

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12.747 Modeling, Data Analysis, and Numerical Techniques for Geochemistry

Class Info

Emphasizes the basic skills needed for handling and assimilating data as well as the basic tool-set for numerical modeling. Uses MATLAB as its computation engine; begins with an introduction to MATLAB to ensure familiarity with software. Topics include: probability distributions, error propagation, least squares and regression techniques, principle component and factor analysis, objective mapping, Fourier and spectral analysis, numerical solutions to ODEs and PDEs, finite difference techniques, inverse models, and scientific visualization.

This class has no prerequisites.

12.747 will be offered this semester (Fall 2017). It is instructed by D. Glover, W. Jenkins and S. Doney (WHOI).

This class counts for a total of 12 credits. This is a graduate-level class.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+12.747&btnG=Google+Search&inurl=https site.

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14.31 Data Analysis for Social Scientists

Class Info

Introduces methods for harnessing data to answer questions of cultural, social, economic, and policy interest. Presents essential notions of probability and statistics. Covers techniques in modern data analysis: regression and econometrics, prediction, design of experiment, randomized control trials (and A/B testing), machine learning, data visualization, analysis of network data, and geographic information systems. Projects include analysis of data with a written description and interpretation of results; may involve gathering of original data or use of existing data sets. Applications drawn from real world examples and frontier research. Instruction in use of the statistical package Stata. Students taking graduate version complete additional assignments.

This class has 18.01 as a prerequisite.

14.31 will not be offered this semester. It will be available in the Spring semester, and will be instructed by D. Atkin and E. Duflo.

Lecture occurs 10:30 AM to 12:00 PM on Mondays and Wednesdays in E51-395.

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+14.31&btnG=Google+Search&inurl=https site or on the 14.31 Stellar site.

MIT 14.31 Data Analysis for Social Scientists Related Textbooks
MIT 14.31 Data Analysis for Social Scientists On The Web

ESD.864 Modeling and Assessment for Policy

Class Info

Explores how scientific information and quantitative models can be used to inform policy decision-making. Develops an understanding of quantitative modeling techniques and their role in the policy process through case studies and interactive activities. Addresses issues such as analysis of scientific assessment processes, uses of integrated assessment models, public perception of quantitative information, methods for dealing with uncertainties, and design choices in building policy-relevant models. Examples focus on models and information used in Earth system governance.

This class has no prerequisites.

ESD.864 will not be offered this semester. It will be instructed by N. Selin.

Lecture occurs 10:30 AM to 12:00 PM on Tuesdays and Thursdays in E51-057.

This class counts for a total of 9 credits.

You can find more information on MIT OpenCourseWare at the Modeling and Assessment for Policy site or on the ESD.864 Stellar site.

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MIT ESD.864 Modeling and Assessment for Policy On The Web
Modeling and Assessment for Policy
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