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Duration 14 hours
Course Outline
Getting Started with the MATLAB Environment
- Introduction to MATLAB and its applications in technical computing
- Familiarization with the MATLAB workspace and user interface
- Navigation of MATLAB tools and the development environment
- Management of files, projects, and basic operational workflows
Managing Commands and Variables
- Inputting commands via the MATLAB command window
- Creation and administration of variables
- Comprehension of MATLAB syntax and mathematical expressions
- Utilization of built-in functions and accessible help documentation
Data Structures and Types
- Identification of various MATLAB data types
- Handling vectors and matrices effectively
- Execution of matrix and array calculations
- Administration of numerical and logical datasets
Conducting Data Analysis in MATLAB
- Exploration and examination of datasets
- Structuring data for efficient processing
- Application of MATLAB functions for computational tasks and analysis
- Interaction with structured data formats
Core MATLAB Programming Concepts
- Automation of tasks through script development
- Construction and execution of MATLAB programs
- Understanding program logic and sequential execution
- Implementation of conditional logic and iterative loops
Building MATLAB Functions
- Development of custom function definitions
- Understanding the mechanism of function inputs and outputs
- Enhancing code structure and promoting reusability
- Adherence to programming best practices
Techniques for Data Visualization
- Visualization of vector and matrix information
- Generation of charts and graphical plots
- Customization of visual outputs for analytical and presentational purposes
- Interpretation of outcomes through graphical evaluation
Handling External Data Files
- Processes for importing and exporting data
- Interaction with standard file formats
- Management of data files within the MATLAB ecosystem
- Preparation of external data sources for analysis
Hands-On MATLAB Workshop
- Application of MATLAB commands and coding techniques
- Analysis of practical, real-world datasets
- Creation of scripts and custom functions
- Development of visual reports and data-driven insights
Course Summary and Future Directions
- Reinforcement of key MATLAB concepts
- Identification of opportunities for further learning
- Best practices for ongoing MATLAB proficiency
Requirements
No specific prerequisites are required.
Testimonials (3)
Many useful exercises, well explained
Helene Meadows - European Investment Bank
Course - MATLAB Programming
Hands on experience.
Matevz Nolimal - European Investment Bank
Course - MATLAB Programming
Trainer took the initiative to cover additional content outside our course materials to improve our learning.
