MATLAB Video Tutorials Progress Chart

MATLAB Video Tutorials: Watch the MATLAB tutorials such that you can use this powerful tool to help you solve a wide spectrum of STEM problems. Please use the Progress Chart to document your personal progress in watching the tutorials.  

Part I: MATLAB Overview

1. MATLAB Overview: Get an overview of MATLAB®, the language of technical computing. (2:05)
2. Analyzing and Visualizing Data with MATLAB: Explore, visualize, and model your data with MATLAB®. (3:26)
3. Programming and Developing Algorithms with MATLAB: Write programs and develop algorithms using the high-level language and development tools in MATLAB®. (4:32)
4. Developing and Deploying Applications with MATLAB: Develop and share MATLAB® applications as code, executables, or software components. (3:51)
5. Getting Started with MATLAB: Get started with MATLAB® and learn how to get more information. (7:00)
6. Working in The Development Environment: Access tools such as the command history workspace browser and variable editor, save and load your workspace data, and manage windows and desktop layout. (5:21)
7. Top Ways to Get Help: Find online support to help solve your toughest problems while using MATLAB® and Simulink® products. (3:20)
8. Importing Data from Text Files Interactively: Use the import tool to import numeric and text data from delimited and fixed width text files. Generate MATLAB^® code to repeat the process on similar files. (7:01)
9. Importing Data from Files Programmatically: Import data from spreadsheets, text files, and other formats into MATLAB^® using file I/O functions. (3:55)
10. Importing Spreadsheets into MATLAB: Select and load mixed textual and numeric data from spreadsheets interactively then generate the required MATLAB^® code. (4:34)
11. Using Basic Plotting Functions: Create plots programmatically using basic plotting functions. (5:52)
12. Working with Arrays in MATLAB: Create and manipulate MATLAB® arrays, including accessing elements using indexing. (8:17)
13. Introducing MATLAB Fundamental Classes (Data Types): Work with numerical, textual, and logical data types. (5:46)
14. Introducing Tables and Categorical Arrays: Manage mixed-type tabular data with the table data container, and data from a finite, discrete set of categories with the memory-efficient categorical array. (6:01)
15. Introducing Structures and Cell Arrays: Use structures and cell arrays to manage heterogeneous data of different types and sizes. (5:04)
16. Writing a MATLAB Program: Write a MATLAB® program, including creating a script and a function. (4:57)
17. Publishing MATLAB Code from the Editor: Share your work by publishing MATLAB® code from the MATLAB Editor to HTML and other formats. (5:57)
18. Developing Classes Overview: Design classes by defining properties, methods, and events in a class definition file. (10:48)
19. Calling MATLAB from C Code: Call MATLAB® from C, C++ or Fortran code using the MATLAB Engine Library. (1:30)

Part II: Computer Programming with MATLAB

Lesson 1: Introduction
1.1 Introduction (11:43)
1.2 The MATLAB Environment (23:03)
1.3 MATLAB Online (27:43)
1.4 MATLAB as a Calculator (14:25)
1.5 Syntax and Semantics (5:01)
1.6 Help (8:37)
1.7 Plotting (19:06)

Lesson 2: Matrices and Operators
2.1 Introduction to Matrices and Operators (11:25)
2.2 The Colon Operator (8:45)
2.3 Accessing Parts of a Matrix (21:33)
2.4 Combining and Transforming Matrices (10:06)
2.5 Arithmetic Part 1 (18:07)
2.6 Arithmetic Part 2 (11:52)
2.7 Operator Precedence (13:31)

Lesson 3: Functions
3.1 Introductions to Functions (5:39)
3.2 Function I/O (22:15)
3.3 Formal Definition of Functions (2:52)
3.4 Subfunctions (6:17)
3.5 Scope (5:24)
3.6 Advantages of Functions (2:39)
3.7 Scripts (4:27)

Lesson 4: Programmer’s Toolbox
4.1 Introduction to programmer’s Toolbox (7:06)
4.2 Matrix Building (15:11)
4.3 Input / Output (20:47)
4.4 Plotting (17:47)
4.5 Debugging (22:17)

Lesson 5: Selection
5.1 Selection (11:53)
5.2 If-Statements, continued (8:33)
5.3 Relational and Logical Operators (34:51)
5.4 Nested If-Statements (2:12)
5.5 Variable Number of Function Arguments (6:40)
5.6 Robustness (8:37)
5.7 Persistent Variables (6:54)

Lesson 6: Loops
6.1 For-Loops (38:50)
6.2 While-Loops (20:16)
6.3 Break Statement (29:31)
6.4 Logical Indexing (37:29)
6.5 Preallocation (8:59)

Lesson 7: Data Types
7.1 Introduction to Data Types (20:27)
7.2 Strings (29:04)
7.3. Structs (14:51)
7.4 Cells (21:47)

Lesson 8: File Input/Output
8.1 Introduction to File Input/Output (15:00)
8.2 Excel Files (9:12)
8.3 Text Files (12:17)
8.4 Binary Files (38:55)