AI-based Simulation and Modeling for Applied Physics
Completed by Khansania Nuralif Purnomo on May 25, 2025
Verified learner ·
Badge ID: PgNmlLabRmeDZpS2m4ZnUg
About this Badge
Students can understand and implement programming and computational physics, especially AI-based, to solve problems in physics and its applications.
Learning objectives
- Analyze and interpret health, medical, and image data using advanced AI, machine learning, and data analysis techniques to improve decision-making and patient outcomes.
- Develop and apply simulation models using tools like Simulink, Simscape, and MATLAB for designing, testing, and optimizing complex engineering systems and real-world applications.
- Implement numerical methods and deep learning algorithms to solve partial differential equations, detect objects, and process images and videos for various scientific and engineering applications.
Skills learned
- Artificial Neural Networks
- Computer Graphic Techniques
- Probability & Statistics
- Computer Vision
- Statistics
- Problem Solving
- Leadership and Management
- Deep Learning
- Mathematical Theory & Analysis
- Machine Learning
- Computer Graphics
- Programming Principles
- Computer Programming
- Statistical Programming
- Python Programming
- Databases
- Regression Analysis
- Data Analysis
- Data Visualization
- Data Management
- Skills section collapsed. Showing 8 of 20 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.