Integración Económica Europea (2010)
El objetivo de la disciplina de Integración Económica Europea es proporcionar al estudiante la información necesaria para que conozca qué es la Unión Europea, cuáles fueron las razones —económicas, sociales y políticas— de su formación y cuáles sus mecanismos de funcionamiento. Con esta intención, el temario se articula en torno a cuatro bloques. En el primero, que pretende servir como marco introductorio, se aborda el análisis de las formas de integración económica y sus coste
Statistics - an intuitive introduction : introduction
Things you need to know before looking at the statistics courses here.
Statistics - an intuitive introduction : central tendency
Statistical data have a tendency to cluster around some central point. How do we determine this point? Is there just one way of doing it or more than one?
16.20 Structural Mechanics (MIT)
Applies solid mechanics to analysis of high-technology structures. Structural design considerations. Review of three-dimensional elasticity theory; stress, strain, anisotropic materials, and heating effects. Two-dimensional plane stress and plane strain problems. Torsion theory for arbitrary sections. Bending of unsymmetrical section and mixed material beams. Bending, shear, and torsion of thin-wall shell beams. Buckling of columns and stability phenomena. Introduction to structural dynamics. Ex
6.825 Techniques in Artificial Intelligence (SMA 5504) (MIT)
6.825 is a graduate-level introduction to artificial intelligence. Topics covered include: representation and inference in first-order logic, modern deterministic and decision-theoretic planning techniques, basic supervised learning methods, and Bayesian network inference and learning. This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5504 (Techniques in Artificial Intelligence).
6.336J Introduction to Numerical Simulation (SMA 5211) (MIT)
6.336J is an introduction to computational techniques for the simulation of a large variety of engineering and physical systems. Applications are drawn from aerospace, mechanical, electrical, chemical and biological engineering, and materials science. Topics include: mathematical formulations; network problems; sparse direct and iterative matrix solution techniques; Newton methods for nonlinear problems; discretization methods for ordinary, time-periodic and partial differential equations, fast
Introduction to Artificial Intelligence - Neural Networks
This practical forms part of the "Neural Networks" topic in the Introduction to Artificial Intelligence module.
Introduction to OO Programming in Java - Introduction to the AWT
This reading material forms part of the "Introduction to the AWT" topic in the Introduction to OO Programming in Java module.
Introduction to Artificial Intelligence - Knowledge Representation
This practical forms part of the "Knowledge Representation" topic in the Introduction to Artificial Intelligence module.
Introduction to OO Programming in Java - Inheritance - extending classes
This visual aid forms part of the "Inheritance - extending Classes" topic in the Introduction to OO Programming in Java module.
14.33 Economics Research and Communication (MIT)
This course will guide students through the process of forming economic hypotheses, gathering the appropriate data, analyzing them, and effectively communicating their results. All students will be expected to have successfully completed Introduction to Statistical Methods in Economics and Econometrics (or their equivalents) as well as courses in basic microeconomics and macroeconomics. Students may find it useful to take at least one economics field course and perform a UROP before taking this
18.385J Nonlinear Dynamics and Chaos (MIT)
This graduate level course focuses on nonlinear dynamics with applications. It takes an intuitive approach with emphasis on geometric thinking, computational and analytical methods and makes extensive use of demonstration software.
Dublin, Ireland - Study Abroad
The study abroad program is located in Dublin, a capital city of 1,000,000 people located on the Irish Sea on the east coast of Ireland. Students will take courses at the Keough Naughton Notre Dame Study Center in Dublin and at the Republic of Ireland's best universities — either University College Dublin or Trinity College Dublin. Keough Center is located at O'Connell House on Merrion Square, the most elegant Georgian square in central Dublin. Contact the Office of International Studies for
24.200 Ancient Philosophy (MIT)
This course will acquaint the student with some of the ancient Greek contributions to the Western philosophical and scientific tradition. We will examine a broad range of central philosophical themes concerning: nature, law, justice, knowledge, virtue, happiness, and death. There will be a strong emphasis on analyses of arguments found in the texts.
14.123 Microeconomic Theory III (MIT)
The central topic of this course is the theory of general equilibrium and its applications and extensions.
Interactive model of an screw dislocation
Interactive, rotatable model of an screw dislocation. From TLP: Introduction to dislocations, http://www.msm.cam.ac.uk/doitpoms/tlplib/dislocations/dislocations_in_3D.php
18.315 Combinatorial Theory: Introduction to Graph Theory, Extremal and Enumerative Combinatorics (M
This course serves as an introduction to major topics of modern enumerative and algebraic combinatorics with emphasis on partition identities, young tableaux bijections, spanning trees in graphs, and random generation of combinatorial objects. There is some discussion of various applications and connections to other fields.
soc1a06-c01 - Section C01 - w1.1 Inequality - McMaster University > Courses > SOC1A06 Introduction to Sociology > Section C01 > w1.1 Inequality
soc1a06-c01 - Section C01 - 12.1 Sexualities - McMaster University > Courses > SOC1A06 Introduction to Sociology > Section C01 > 12.1 Sexualities
18.100C Analysis I (MIT)
This course is meant as a first introduction to rigorous mathematics; understanding and writing of proofs will be emphasized. We will cover basic notions in real analysis: point-set topology, metric spaces, sequences and series, continuity, differentiability, and integration.