Course Outline:
Introduction to MATLAB:
Overview of MATLAB and its applications
Installing and setting up MATLAB
MATLAB interface and environment
Basic Operations and Syntax:
Basic commands and operations
Variables and data types
Scripts and functions
Command window and workspace
Working with Arrays and Matrices:
Creating and manipulating arrays and matrices
Matrix operations and linear algebra
Indexing, slicing, and reshaping arrays
Data Import and Export:
Importing data from various formats (CSV, Excel, text files)
Exporting data and results
Interacting with databases
Data Visualization:
Basic plotting functions (line plots, scatter plots, bar charts, histograms)
Customizing plots (titles, labels, legends, annotations)
Advanced visualization techniques (3D plots, heatmaps, subplots)
Programming Constructs:
Control flow statements (if, else, switch)
Loop structures (for, while)
Writing and using functions
Debugging and error handling
Data Analysis and Statistics:
Descriptive statistics
Data fitting and interpolation
Statistical tests and analysis
Signal processing basics
Advanced Mathematics and Engineering:
Solving equations and systems of equations
Numerical integration and differentiation
Optimization techniques
Working with polynomials and symbolic math
Simulink Basics:
Introduction to Simulink
Creating and simulating models
Using blocks and libraries
Analyzing simulation results
File I/O and Handling Large Data Sets:
Reading and writing files
Handling large data sets
Memory management techniques
Image Processing:
Basics of image processing
Reading and displaying images
Image filtering and enhancement
Image segmentation and analysis
Control Systems:
Introduction to control systems
Designing and analyzing control systems
PID controllers
State-space models
GUI Development:
Creating graphical user interfaces
Using GUIDE and App Designer
Handling user inputs and events
Deploying and sharing applications
Parallel Computing and Optimization:
Introduction to parallel computing
Using parallel for-loops (parfor)
Distributed arrays and parallel algorithms
GPU computing basics
Practical Applications and Case Studies:
Real-world examples and case studies
Practical exercises and projects
Best practices and tips for efficient coding
Skills Gained:
Proficiency in using MATLAB for technical computing
Ability to perform data analysis, visualization, and numerical computation
Skills in developing algorithms and custom functions
Competence in using Simulink for modeling and simulation
Knowledge of advanced features and specialized toolboxes
Target Audience:
Engineers
Data scientists
Researchers
Students in STEM fields
Professionals involved in technical computing and data analysis