GPT Vision: Seeing the World through Generative AI course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview (80-120 words) describing structure and time commitment.
Module 1: Introduction to MATLAB & AI-Assisted Coding
Estimated time: 6 hours
- Understand basic MATLAB syntax and structure
- Explore how generative AI assists in code generation
- Learn use cases for AI-assisted development
- Recognize limitations of AI-generated code
Module 2: Writing MATLAB Code with ChatGPT
Estimated time: 10 hours
- Create scripts for numerical computing tasks
- Generate functions and loops using prompts
- Request explanations for complex code segments
- Optimize code performance with AI suggestions
Module 3: Debugging & Code Optimization
Estimated time: 10 hours
- Debug syntax and logical errors with ChatGPT
- Refactor inefficient code using AI feedback
- Improve code readability and structure
- Validate AI-generated solutions through testing
Module 4: Advanced Applications & Problem Solving
Estimated time: 10 hours
- Implement data analysis and visualization scripts
- Solve mathematical modeling problems using AI
- Automate repetitive coding tasks
- Develop structured problem-solving workflows
Module 5: Final Practice Project
Estimated time: 8 hours
- Design a MATLAB-based solution using AI support
- Generate, test, and refine code iteratively
- Document the solution process effectively
Prerequisites
- Basic knowledge of MATLAB programming
- Familiarity with programming concepts
- Access to ChatGPT or similar AI tool
What You'll Be Able to Do After
- Use ChatGPT effectively as a MATLAB coding assistant
- Generate accurate and optimized MATLAB code using AI
- Debug and improve code with AI-powered suggestions
- Apply prompt engineering techniques to coding tasks
- Integrate AI tools into technical workflows responsibly