Surveys research which incorporates psychological evidence into economics. Prospect theory. Biases in probabilistic judgment. Self-control and mental accounting with implications for consumption and savings. Fairness, altruism, and public goods contributions. Financial market anomalies and theories. Impact of markets, learning, and incentives. Some evidence on memory, attention, categorization, and the thinking process.
This set of lessons can be used with "Differences Across the Curriculum: Parts 2, 3, and 4" as an integrated approach to exploring diversity with eighth graders. The unit will revolve around the use of the drama version of "The Diary of Anne Frank." Students will learn how diversity creates bias which leads to conflict, where students confront their bias and practice tolerance. These parts reflect the four core curricula in an interwoven approach to teaching students to confront their biases, learn tolerance, and infer the impact of these on today's society. This activity, Part 1, is meant to serve as a pre-reading activity to the reading of the play form of "The Diary of Anne Frank." See attachment created on Inspiration software to gain insight to the organization of the entire unit.
This set of lessons can be used with "Differences Across the Curriculum: Parts 1, 3, and 4" as an integrated approach to exploring diversity with eighth graders. The unit will revolve around the use of the drama version of "The Diary of Anne Frank." Students will learn how diversity creates bias, which leads to conflict, where students confront their bias and practice tolerance. These parts reflect the four core curricula in an interwoven approach to teaching students to confront their biases, learn tolerance, and infer the impact of these on today's society. This activity, Part 2, is meant to augment the pre-reading activities completed in Part 1 in a Social Sciences class.
This module introduces estimation theory and its terminology, including bias, consistency, and efficiency. In searching for methods of extracting information from noisy observations, this chapter describes estimation theory, which has the goal of extracting from noise-corrupted observations the values of disturbance parameters (noise variance, for example), signal parameters (amplitude or propagation direction), or signal waveforms. Estimation theory assumes that the observations contain an information-bearing quantity, thereby tacitly assuming that detection-based preprocessing has been performed (in other words, do I have something in the observations worth estimating?). Conversely, detection theory often requires estimation of unknown parameters: Signal presence is assumed, parameter estimates are incorporated into the detection statistic, and consistency of observations and assumptions tested. Consequently, detection and estimation theory form a symbiotic relationship, each requiring the other to yield high-quality signal processing algorithms.
Subject:
Mathematics and Statistics, Science and Technology
This module motivates and introduces the minimum variance unbiased estimator (MVUE). This is the primary criterion in the classical (frequentist) approach to parameter estimation. We introduce the concepts of mean squared error (MSE), variance, bias, unbiased estimators, and the bias-variance decomposition of the MSE.
Students learn about archives and primary sources as they research original historical documents. While preparing an imaginative first-person account as if witnessing an historical event, they learn to appreciate the value of the first-person, eye-witness account and understand its limitations. Note: The literacy activities for the Mechanics unit are based on physical themes that have broad application to our experience in the world concepts of rhythm, balance, spin, gravity, levity, inertia, momentum, friction, stress and tension.
Subject:
Mathematics and Statistics, Science and Technology
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