US History I
Upon completion of this course you will: Demonstrate comprehension of a broad body of historical knowledge; Express ideas clearly in writing; Work with classmates to research an historical issue; Interpret and apply data from original documents; Identify underrepresented historical viewpoints; Write to persuade with evidence; Compare and contrast alternate interpretations of an historical figure, event, or trend; Explain how an historical event connects to or causes a larger trend or theme; Deve
2.27 Turbulent Flow and Transport (MIT)
Turbulent flows, with emphasis on engineering methods. Governing equations for momentum, energy, and species transfer.
Turbulence: its production, dissipation, and scaling laws. Reynolds averaged equations for momentum, energy, and species transfer. Simple closure approaches for free and bounded turbulent shear flows. Applications to jets, pipe and channel flows, boundary layers, buoyant plumes and thermals, and Taylor dispersion, etc., including heat and species transport as well as flow fields
American Government
Upon completion of this course, the student will: Express ideas clearly in writing; Work individually and with classmates to research political issues; Interpret and apply data from original documents such as court cases and bills; Write to persuade with evidence; Develop essay responses that include a clear, defensible thesis statement and supporting evidence; Raise and explore questions about policies, institutions, beliefs, and actions in a political science context; Evaluate secondary materi
Sam Wang: The Princeton Election Consortium - A First Draft of Electoral History - February 11, 2009
Lunch 'n Learn presentation: How we experience political races is dominated by opinion polls. Polling data can be confusing because of their sheer number. In 2008, hundreds of polls were released during the Presidential campaign. Is there a way to cut through the resulting noise?
Four years ago Dr. Wang devised a statistical approach to analyze state polls to get a single, easy-to-understand snapshot of the race, viewed from the point of view of the Electoral College. In 2008, this approach mad
Sam Wang: The Princeton Election Consortium - A First Draft of Electoral History PDF - February 11,
Lunch 'n Learn presentation: How we experience political races is dominated by opinion polls. Polling data can be confusing because of their sheer number. In 2008, hundreds of polls were released during the Presidential campaign. Is there a way to cut through the resulting noise?
Four years ago Dr. Wang devised a statistical approach to analyze state polls to get a single, easy-to-understand snapshot of the race, viewed from the point of view of the Electoral College. In 2008, this approach mad
14.381 Statistical Method in Economics (MIT)
The course introduces statistical theory to prepare students for the remainder of the econometrics sequence. The emphasis of the course is to understand the basic principles of statistical theory. A brief review of probability will be given; however, this material is assumed knowledge. The course also covers basic regression analysis. Topics covered include probability, random samples, asymptotic methods, point estimation, evaluation of estimators, Cramer-Rao theorem, hypothesis tests, Neyman Pe
06 - Efficient Markets vs. Excess Volatility
Several theories in finance relate to stock price analysis and prediction. The efficient markets hypothesis states that stock prices for publicly-traded companies reflect all available information. Prices adjust to new information instantaneously, so it is impossible to "beat the market." Furthermore, the random walk theory asserts that changes in stock prices arise only from unanticipated new information, and so it is impossible to predict the direction of stock prices. Using statistical tools,
6.867 Machine Learning (MIT)
6.867 is an introductory course on machine learning which gives an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as classification and linear regression and ending up with more recent topics such as boosting, support vector machines, hidden Markov models, and Bayesian networks. The course will give the student the basic ideas and intuition behind modern machine learning methods as well as a bit more formal understanding of how, why, and whe
8.334 Statistical Mechanics II: Statistical Physics of Fields (MIT)
This is the second term in a two-semester course on statistical mechanics. Basic principles are examined in 8.334, such as the laws of thermodynamics and the concepts of temperature, work, heat, and entropy. Topics from modern statistical mechanics are also explored including the hydrodynamic limit and classical field theories.
3.00 Thermodynamics of Materials (MIT)
Treatment of the laws of thermodynamics and their applications to equilibrium and the properties of materials. Provides a foundation to treat general phenomena in materials science and engineering, including chemical reactions, magnetism, polarizability, and elasticity. Develops relations pertaining to multiphase equilibria as determined by a treatment of solution thermodynamics. Develops graphical constructions that are essential for the interpretation of phase diagrams. Treatment includes elec
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
References Remote or close control of students’ knowledge in ARCADE 7.90J Computational Functional Genomics (MIT) The RCBN Consultation Exercise: Stakeholder Report The Virtual Rocky Shore De Vany on Steroids, Baseball, and Evolutionary Fitness Statistics - an intuitive introduction : normal distribution Statistics - an intuitive introduction : standard deviation Statistics - an intuitive introduction : variability
Assessment of students’ knowledge and instructors’ feedback are among the
most important elements of education. This paper describes the Arcade Test System that is
used to check and assess students’ knowledge. The Arcade Test System is a dual-purpose online
testing environment that gives the instructor an opportunity to control the level of knowledge
the students have acquired during taking a particular course delivered by the system. On the
one hand, it gives students a way to check their
The course focuses on casting contemporary problems in systems biology and functional genomics in computational terms and providing appropriate tools and methods to solve them. Topics include genome structure and function, transcriptional regulation, and stem cell biology in particular; measurement technologies such as microarrays (expression, protein-DNA interactions, chromatin structure); statistical data analysis, predictive and causal inference, and experiment design. The emphasis is on coup
One of the early objectives of the ESRC Teaching and Learning Research Programme (TLRP) Research Capacity Building Network has been to undertake an extensive consultation exercise in order to identify the priorities for research capacity-building and to generate a database of expertise from across the UK educational research community. This report provides an account of the first element of the consultation exercise, interviews with twenty-five key stakeholders each representing the major consti
The Virtual Rocky Shore (VRS) is an interactive computer simulation allowing the design of manipulative experiments as would be conducted on a real rocky shore. The companion website explains experimental design from the basics, through to conducting an experiment using the simulation. Further guidance on the statistical analysis (using SPSS and R) is given, along with how to write up the experiment as if it was a real scientific paper. The full website is provided here, with an external link t
Arthur De Vany, of the University of California, Irvine, and creator of Evolutionary Fitness, talks with EconTalk host Russ Roberts about performance-enhancing drugs in baseball and Evolutionary Fitness, De Vany's ideas about diet and fitness. In the first part of the conversation, De Vany argues that there is little physiological or statistical evidence that steroid use increases home run totals in baseball. The second part of the conversation turns to De Vany's theories of diet and exercise. D
One of the most common statistical distributions is the normal distribution. What does it tell us and how do we use it?
A standard way of measuring statistical variability: standard deviation and the associated concepts of variance and degrees of freedom.
Statistical data vary: range and inter-quartile range measure this. Are they good measures?
