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Computing and Data Analysis for Environmental Applications Assignment help

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Topics for ATMS 305   Computing and Data Analysis

• statistical treatment, graphical representation of atmospheric sciences data, methods of interpolation
• linear correlations, nonlinear correlations, data analysis, modeling data

Topics for Computing and Data Analysis for Environmental Applications

• Descriptive Statistics  , Probablility , Joint Probability, Independence, Combinatorial Methods for Deriving Probabilities , Conditional Probability , Baye's Theorem  , Random Variables , Probability Distributions  , Expectation, Functions of a Random Variable , Risk  , Some Common Probability Distributions, Multivariate Probability
• Functions of Many Random Variables  , Populations Samples  , Estimation  , Confidence Intervals  , Testing Hypotheses about a Single Population , Testing Hypotheses about Two Populations , Small Sample Statistics , Analysis of Variance  , Analysis of Variance  , Multifactor Analysis of Variance  , Linear Regression  , Analyzing Regression Result, averages
• variances, standard deviation, errors  propagation, error propagation, multi-dimensional problems, Binomial distributions , Poisson distributions , Gaussian distributions , Concepts of probability, confidence intervals limits, hypothesis testing
• Optimisation techniques , maximum-likelihood techniques, multivariate analysers , context of data mining, Fisher discriminants, multi-layer perceptron , artificial neural networks, decision trees , genetic algorithms
• problems solving techniques,algorithm design,data types and operators,conditional and repetitive control flow,file access,data visualisation,code optimisation,arrays/matrices,vectorisation