Accelerated MATLAB
3h 21mAdvanced2024-12-10
Authors

Majlinda Qarri
Course details
MATLAB is one of the most popular programming languages today for engineers and scientists, and with good reason—it allows analysts to work efficiently with large amounts of data. In this course, which follows her "Learning MATLAB" course, instructor Majlinda Qarri covers intermediate and advanced topics related to MATLAB software and presents tips on how to leverage it to solve complex mathematical problems and build, simulate, and analyze models of various physical systems. Each main topic includes a challenge and example solution to help you practice and retain what you learn.
Skills covered
MATLABMathWorksData ModelingStatisticsAdvancedData AnalysisProgramming LanguagesData ScienceBusiness Analysis and StrategyBusiness Software and ToolsSoftware Development
Concepts
0. Introduction
- 01 - Exploring new dimensions with MATLAB
- 02 - What you should know
1. Mastering Arrays in Matlab
- 03 - Concepts and creation of arrays
- 04 - Array indexing and manipulation
- 05 - Vectorized operations on arrays
- 06 - Creation of multi-dimensional arrays
- 07 - Multi-dimensional arrays - Handling and operations
2. Deep Dive into Matrices
- 08 - Creating and understanding matrices
- 09 - Matrix arithmetics
- 10 - Matrix factorization and decomposition
- 11 - Eigenvalues and eigenvectors
- 12 - Practical use of matrices in engineering
3. Solving Systems of Equations
- 13 - Systems of linear and non-linear equations
- 14 - Direct methods for solving linear systems
- 15 - Iterative methods for large systems
- 16 - Solving systems of nonlinear equations
- 17 - Introduction to differential equations and solutions
- 18 - Challenge - Solve for a given system of equations
- 19 - Solution - Solve for a given system of equations
4. MATLAB Programming Constructs
- 20 - Nested loops
- 21 - Switch, case, otherwise
- 22 - Error handling and debugging
- 23 - Use of functions
- 24 - Challenge - Practical use of functions
- 25 - Solution - Practical use of functions
5. Data Visualization Techniques
- 26 - Advanced 2D plotting - Parabolas
- 27 - Advanced 2D plotting - Current signals
- 28 - 3D graphics and visualization
- 29 - Interactive and animated plots
- 30 - Customizing graphs for publication
- 31 - Challenge - 3D sinewave and animated parameter shift
- 32 - Solution - 3D sinewave and animated parameter shift
6. Continuing Your MATLAB Learning Journey
- 33 - Next steps and additional resources
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