Courseware : Artificial Intelligence
Artificial Intelligence : Course lectures, hours 42. There are 11 pdf files, total 562 pages. Topics : Introduction to AI; Problem Solving - Search and Control Strategies; Knowledge Representation Issues - Predicate Logic, Rules; Reasoning System - Symbolic, Statistical; Game Playing; Learning; Expert ...
Author(s): RC Chakraborty

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Trail-Following in Snails: A Behavior and Statistical Laboratory Exercise
It is well documented that many snails follow the trails of other snails. A variety of simple experiments can be designed around trail following that teach experimental design, observation and data collection, and statistical analysis of results. The easily obtained, intertidal littorine snails can ...
Author(s): Sandra Millen

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Physical Chemistry
This item addresses concepts such as: entropy, free energy, first law of thermodynamics, basic reaction kinetics.
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The "1OO-Year Flood"
This site describes how and when 100-year floods occur. It states that flood designations are based on statistical averages, not on the number of years between big floods. It also suggests that it would make more sense to refer to 100-year floods as 1-in-100 chance floods. This resource is a United States Geological Survey (USGS) Fact Sheet. It can be used in teaching quantitative skills.
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Statistics - an intuitive introduction: normal distribution
One of the most common statistical distributions is the normal distribution. What does it tell us and how do we use it?
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Statistical Mechanics Simulator
Statistical Mechanics Simulator
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"Laboratory in Visual Cognition, Fall 2009"
" 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 fou
Author(s): Oliva, Aude

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Ballistic Pendulum
This lesson builds upon the previous two (Newton's Second Law and the First Law of Thermodynamics) by explaining that conservation of energy is not perfectly observed, in that energy is lost as it is transferred from kinetic to potential, and vice-versa.
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Research Fundamentals
This module will introduce students to demographic and statistical language and terms and encourage critical thinking and extrapolation skills.
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Confidence Intervals
The applets in this section of Statistical Java allow you to see how levels of confidence are achieved through repeated sampling. The confidence intervals are related to the probability of successes in a Binomial experiment.
Author(s): S.Dorai-Raj,C.Anderson-Cook,T.Robinson

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The Scientific Method:
An exercise to introduce scientific method, experimental design and basic statistical analysis.
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1.4.1: Price ratios
This unit looks at a wide variety of ways of comparing prices and the construction of a price index. You will also look at the Retail Price Index (RPI) and the Consumer Price Index (CPI), indices used by the UK Government to calculate the percentage by which prices in general have risen over any given period. You wil also look at the important statistical and mathematical ideas that contribute to the construction of a price index.
Author(s): The Open University

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Except for third party materials and otherwise stated (see http://www.open.ac.uk/conditions terms and conditions), this content is made available under a http://creativecommons.org/licenses/by-nc-sa/2

Structural Models
Presents quantitative approaches to theory construction in the context of multiple response variables, with models for both continuous and categorical data. Topics include the statistical basis for causal inference; principles of path analysis; linear structural equation analysis incorporating measurement models; latent class regression; and analysis of panel data with observed and latent variable models. Draws examples from the social sciences, including the status attainment approach to interg
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Statistics for Laboratory Scientists I
This course introduces the basic concepts and methods of statistics with applications in the experimental biological sciences. Demonstrates methods of exploring, organizing, and presenting data, and introduces the fundamentals of probability. Presents the foundations of statistical inference, including the concepts of parameters and estimates and the use of the likelihood function, confidence intervals, and hypothesis tests. Topics include experimental design, linear regression, the analysis of
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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?
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Nanoelectronics and the Meaning of Resistance
The purpose of this series of lectures is to introduce the "bottom-up" approach to nanoelectronics using concrete examples. No prior knowledge of quantum mechanics or statistical mechanics is assumed; however, familiarity with matrix algebra will be helpful for some topics.
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Conservation Laws
Some of the topics addressed in this book are: Conservation of energy; the transfer of mechanical energy; conservation of momentum; conservation of angular momentum; thermodynamics.
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STP Eclipse Workspace
The STP Eclipse Workspace contains a ready to use Eclipse worksapce with source code for Statistical and Thermal Physics (STP) programs by Jan Tobochnik and Harvey Gould. Unzip this workspace and open it from within Eclipse to compile and run these programs.
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Statistical Calculation in Microsoft Powerpoint
In this video, six basic statistical calculations are presented in a Microsoft Powerpoint with accompanying narration.  The video explores how to find the mean, median, mode, standard deviation, z scores, and p-values.  examples are presented of data sets for concentration of product.

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Quantitative data analysis using computer programs
With the classification and the understanding on various kinds of quantitative data, useful computer programs will be practiced for the efficient data processing. Statistical analysis, numerical analysis, data plotting will be given by using Excel, Origin, Powerpoint, VBA, OpenOffice, Google spreadsheet, Mathematica, wxMaxima, scilab and R programs for improving the presentation skill.
Author(s): kuocw

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Copyright 2009, by the Contributing Authors