Training MATLAB® software will help to learn the fundamentals of MATLAB and get started working with advanced mathematical functions and building exciting matrix visualizations. Learning MATLAB can open the door for many jobs in data science, data analysis, computer science, Python, Java, and more. MATLAB is a programming language developed by MathWorks that is used for numerical computing tasks including matrix manipulations, data visualizations, and advanced mathematical computations. MATLAB Simulink is a graphical programming environment which, when used together with MATLAB, allows developers and designers to model and test systems prior to production.
Training MATLAB® software will help to learn the fundamentals of MATLAB and get started working with advanced mathematical functions and building exciting matrix visualizations. Learning MATLAB can open the door for many jobs in data science, data analysis, computer science, Python, Java, and more. MATLAB is a programming language developed by MathWorks that is used for numerical computing tasks including matrix manipulations, data visualizations, and advanced mathematical computations. MATLAB Simulink is a graphical programming environment which, when used together with MATLAB, allows developers and designers to model and test systems prior to production.
| 日期 | 上課時間 | 授課內容 | 授課地點 |
|---|---|---|---|
2021/04/17 | 08:00~17:00 | • Numerical simulations
• - Numerical methods and simulations
• - Random number generation
• Reading data from files
• Saving and loading variables
• Plotting data
• Customizing plots
• Exporting graphics for use in other applications
• Entering commands
• Creating numeric and character variables
• Making and annotating plots
• Getting help
• Creating and running live scripts
• Performing calculations with vectors
• Accessing and modifying values in vectors
• Formatting and sharing live scripts
• Creating and manipulating matrices
• Performing calculations with matrices
• Calculating statistics with matrix data
• Visualizing matrix data
• Storing data as a table
• Operating on tables
• Extracting data from tables
• Modifying tables
• Logical operations and variables
• Finding and counting
• Logical indexing
• Combining tables of data
• Table metadata
• Dates and durations
• Discrete categories
| ES302 |
Homework (30%), Quiz (20%), Final Exam (50%)