MATLAB for the Absolute Beginner
Master matrices, arrays, animations, graphs & more! This comprehensive course covers Simulink, GUIs, tables & data visualization. Learn it all in one place.
Course Content
MATLAB for the Absolute Beginner is a beginner-level Udemy course taught by Think Forward Online Training. It runs 3h 39m, is taught in English, and includes a certificate of completion. Learners rate it 3.6 out of 5 from 130 reviews, with 10,590 students enrolled. It is a paid course, first published August 2015.
Learn MATLAB: A Comprehensive Guide for Beginners to Advanced Concepts
Ready to master MATLAB? This course is designed for individuals with little to no prior experience in MATLAB, but also offers valuable insights for those looking to expand their existing skills. Enroll now and unlock the power of MATLAB for data analysis, modeling, and more!
What You'll Learn:
MATLAB Fundamentals:
- MATLAB Desktop Environment: Navigate the Command Window, Workspace, Command History, and Current Folder with ease.
- Variable Creation & Basic Math: Learn to define variables and perform fundamental mathematical operations.
Matrix Mastery: (9 Parts)
- Matrix Creation & Manipulation: Create matrices, determine their dimensions, and calculate transposes.
- Matrix Indexing: Access specific elements within a matrix using indices.
- Matrix Operations: Perform addition, subtraction, and multiplication of matrices.
- Solving Numerical Problems: Apply matrix operations to solve real-world numerical problems (Examples I & II).
- Image Processing Basics: Explore black-and-white, grayscale, and color images within MATLAB.
Array Programming: (4 Parts)
- Array Fundamentals: Understand arrays and perform basic mathematical operations on them.
- Array Evaluation: Evaluate quadratic expressions and other functions over a range of values using arrays.
- Sequence Generation: Generate numerical sequences in MATLAB.
- Statistical Analysis: Calculate common statistical measures like mean and median on arrays.
Animation Creation: (7 Parts)
- Editor Window Navigation: Become proficient with the MATLAB Editor Window.
- Step-by-Step Animation: Develop a rotating fan animation through a detailed, step-by-step process.
3D Plotting: (2 Parts)
- 3D Line Plots: Visualize data in three dimensions using line plots.
- 3D Surface Plots: Create and interpret 3D surface plots for complex data representation.
Data Handling & Visualization: (8 Parts)
- Statistical Recap: Review common statistical operations (mean, median, etc.).
- Bar Graph Creation: Generate simple and grouped bar charts.
- Pie Chart Visualization: Create and enhance pie charts for data distribution.
- Plot Enhancement: Add titles and labels to line plots and pie charts for improved readability.
- Function Creation: Develop functions using looping and conditional statements (Examples 1 & 2).
Working with Tables: (2 Parts)
- Data Structures: Understand and utilize structures for data organization.
- Table Creation & Manipulation: Create tables using structures and join multiple tables.
- Data Import & Processing: Read data from files, convert it into tables, and perform operations.
Introduction to Simulink: (7 Parts)
- Simulink Interface: Learn to open and navigate the Simulink environment.
- Model Building: Create simple models within Simulink.
- Common Sources & Blocks: Explore common Simulink sources and mathematical operation blocks.
- Digital Logic Modeling: Model digital logic circuits using Simulink.
- Sub-Module Creation: Develop reusable sub-modules/subsystems/sub-circuits.
- Differential Equation Modeling: Create Simulink models for solving differential equations.
Graphical User Interfaces (GUIs): (5 Parts)
- Input Function: Utilize the
inputfunction for user interaction. - GUI Development: Design and implement simple GUIs in MATLAB (GUI 1-4).
- Input Function: Utilize the
Miscellaneous & Bonus Topics: (10 Parts)
- Symbolic Math Toolbox: Introduction to the Symbolic Math Toolbox.
- Symbolic Math Applications: Solve numerical problems using symbolic math functions.
- Laplace Transforms & Control Systems: Explore Laplace transforms and gain an overview of the Control System Toolbox.
- Digital Signal Processing (DSP) Resources: Access resources for creating Simulink models for Digital Signal Processing.
- Image Processing Toolbox: Learn about histogram equalization, grayscale conversion, and morphological operations.
- Recursive Functions: Implement recursive functions in MATLAB.
- Digital Signal Processing (DSP) Resources (Continued): Access resources for creating Simulink models for Digital Signal Processing.
- Sequences & Progressions: Understand sequences and progressions for creating iterative functions.
- Image Processing GUI: Develop a GUI using image processing concepts.
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