**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