Lernziele:

1. Formulate mathematical models and translate them into MATLAB code using matrices and arrays.

2. Apply numerical methods, such as integration and differentiation, using built-in MATLAB functions.

3. Implement simulation routines using solvers (e.g., ODE solvers) to analyze dynamic systems.

4. Interpret simulation results and refine models based on quantitative analysis.

Module

Lernziele:

1. Generate a variety of 2D and 3D plots using built-in functions such as plot, scatter, and surf.

2. Customize graphs by adjusting axes, labels, legends, titles, and color schemes to enhance data clarity.

3. Employ data analytics techniques, including statistical analysis and regression, to interpret datasets.

4. Export visualizations in multiple formats for reporting and further analysis.

Module

Lernziele:

1. Identify and select appropriate MATLAB toolboxes, such as Signal Processing, Image Processing, and Control System toolboxes.

2. Demonstrate tool-specific functions and applications through practical examples and projects.

3. Integrate multiple toolboxes to develop comprehensive solutions for interdisciplinary STEM problems.

4. Leverage official documentation and community resources to troubleshoot and extend toolbox functionality.

Module

Lernziele:

1. Utilize MATLAB debugging tools (e.g., breakpoints, the profiler) to systematically identify performance bottlenecks.

2. Analyze and interpret profiling data to refactor and optimize code for improved execution speed.

3. Apply best practices in algorithm design and data structure selection to improve efficiency.

4. Benchmark MATLAB functions and scripts against performance metrics to ensure optimal resource utilization.

Module