ML01: MATLAB Fundamentals and Programming Techniques

ML01: MATLAB Fundamentals and Programming Techniques Course Description

Intended Audience for the ML01: MATLAB Fundamentals and Programming Techniques Course

• Engineers
• Students (Engineering, Mathematics, etc.)
• Financial Analyst
• Researchers
• Statisticians

ML01: MATLAB Fundamentals and Programming Techniques Course Objectives

• The MATLAB user interface
• Working with MATLAB variables
• Plotting and visualization
• M-Files
• Basic statistics and data analysis
• Data types
• Data input and output
• Programming
• (Reference) Building graphical user interfaces

ML01: MATLAB Fundamentals and Programming Techniques Course Outline

1. Introduction
   1. Obtain a quick overview of The MathWorks and MATLAB
   2. Discuss course set-up, materials, and logistics
   3. Provide a "big picture" view of the course ahead
2. The MATLAB User Interface
   1. Interactively read data
   2. Interactively plot data
   3. Use expressions to compute new variables
   4. Generate a script to reproduce graphics with new data
   5. Export graphics for use in other applications
3. Working with MATLAB Variables -- Creating variables
   1. Data import from external sources
   2. Data entry from the command line
   3. Matrix creation functions
   4. Accessing vector and matrix data (indexing)
   5. Row-column indexing
   6. Linear indexing
   7. Logical indexing
   8. Vector and matrix arithmetic
   9. Matrix and array operations
   10. Solving systems of linear equations
   11. Mathematical and statistical operations
4. Plotting and Visualization -- Vector Data
   1. Plane and space curves
   2. Annotating graphics
   3. Working with axes
   4. Data interpolation
   5. Plot types
   6. Matrix Data
   7. Images, contours, and surfaces
   8. Multidimensional data interpolation
   9. Volume visualization
   10. Plot types
5. M-Files -- The MATLAB Editor
   1. Script M-files
   2. The MATLAB path
   3. Cells and cell mode
   4. Publishing M-files
   5. Function M-files
   6. Subfunctions and nested functions
   7. Debugging
   8. Best practices
   9. Solution and analysis
6. Basic Statistics and Data Analysis -- Data in MATLAB
   1. Descriptive statistics
   2. Covariance and correlation
   3. Convolution and smoothing
   4. Linear regression models
   5. Nonlinear regression models
   6. Discrete Fourier transform
   7. Spectral analysis with the fast Fourier transform (FFT)
7. Data Types -- What is a data type?
   1. Data types in MATLAB
   2. Methods for constructing and accessing types
   3. Nondouble arithmetic
   4. Converting types
8. Data Input and Output -- File types and formats
   1. The Import Wizard
   2. Programmatic I/O
   3. Graphical I/O
   4. Low-level I/O
   5. Large files and irregular formats
   6. Real-time I/O
9. Programming
   1. Keywords and constructions
   2. Program structure
   3. Handling user input
   4. Improving code performance
   5. Function handles
   6. Graphics programming
10. Building Graphical User Interfaces
    1. What is a GUI?
    2. Handle Graphics
    3. GUI design
    4. Using GUIDE
    5. Writing callbacks
    6. Modifying GUIs

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