1. Getting Started
Overview of the course. Entering MATLAB commands, importing and saving data, and using the MATLAB documentation.
2. Plotting and Common Modifications
Create plots of vector data. Modify, annotate, and export plots.
3. Working with Live Scripts
Create, use, format, and share live scripts.
4. Creating and Manipulating Arrays
Create, combine, and reshape arrays.
5. Accessing Data in Arrays
Extract subsets of arrays, and modify elements in an array.
6. Mathematical and Statistical Operations with Arrays
Use arrays as mathematical objects or as collections of (vector) data. Understand the appropriate use of MATLAB to distinguish between these applications.
7. Visualizing Data in 2D and 3D
Identify and use plot types for 2D and 3D visualization. Modify plot properties.
8. Conditional Data Selection
Extract and analyze subsets of data that satisfy given criteria.
9. Review Project I
Tie together several topics covered in the course
10. Tables of Data
Import data as a MATLAB table. Work with data stored as a table.
11. Organizing Data
Store data in relevant data types. Operate on the data types.
12. Preprocessing Data
Perform typical data preprocessing tasks in MATLAB, including normalizing data and dealing with missing data.
13. Common Data Analysis Techniques
Perform common data analysis tasks in MATLAB, including smoothing data and fitting polynomials.
14. Programming Constructs
Create flexible code that can interact with the user, make decisions, and adapt to different situations.
15. Increasing Automation with Functions
Increase automation by encapsulating modular tasks as user-defined functions. Understand how MATLAB resolves references to files and variables.
16. Troubleshooting Code
Explore MATLAB tools for debugging and measuring code performance.
17. Review Project II
Tie together several topics covered in the course
18. Conclusion
Learn next steps and give feedback on the course.
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