The Best Assignment Help # ENCOR4040: Data Analysis and numerical techniques Assignment Help

The method of inspecting and changing data to retrieve some useful information is known as data analysis whereas numerical techniques define various algorithms used for analysis of data. Data analysis and numerical techniques are taught by faculty of science and technology in Federation University Australia. It is an advanced level course. It is an advanced level course which incorporates student with skills to solve engineering problems, analysis of statistics, how to work in the team and many more. Although the subject does not demand any prerequisite knowledge but students those who are weak in mathematics face problems in the respected subject. Make a wise decision at the right time and choose thebestassignmenthelp professionals for your academic problems.
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### Topics we would cover in ENCOR4040

1. Introduction and Fundamental Concepts
• Basic Properties of Sets and Groups
• Scalars, Vectors, and Matrices
• Coordinate Systems and Coordinate Transformations
• Tensors and Transformations
• Operators
2. The Numerical Methods for Linear Equations and Matrices
• Errors and Their Propagation
• Direct Methods for the Solution of Linear Algebraic Equations
• Solution of Linear Equations by Iterative Methods
• The Similarity Transformations and the Eigen values and Vectors of a Matrix
3. Polynomial Approximation, Interpolation, and Orthogonal Polynomials
• Polynomials and Their Roots
• Curve Fitting and Interpolation
• Orthogonal Polynomials
4. Numerical Evaluation of Derivatives and Integrals
• Numerical Differentiation
• Numerical Evaluation of Integrals: Quadrature
• Monte Carlo Integration Schemes and Other Tricks
5. Numerical Solution of Differential and Integral Equations
• The Numerical Integration of Differential Equations
• The Numerical Solution of Integral Equations
6. Least Squares, Fourier Analysis, and Related Approximation Norms
• Legendre’s Principle of Least Squares
• Least Squares, Fourier Series, and Fourier Transforms
• Error Analysis for Linear Least-Squares
• Non-linear Least Squares
7. Probability Theory and Statistics
• Basic Aspects of Probability Theory
• Common Distribution Functions
• Moments of Distribution Functions
• The Foundations of Statistical Analysis
8. Sampling Distributions of Moments, Statistical Tests, and Procedures
• The Level of Significance and Statistical Tests
• Linear Regression, and Correlation Analysis
• The Design of Experiments

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