Curs customizat MATLAB

Module 1: MATLAB Fundamentals (7 hours)

• Introduction to MATLAB environment and interface
• Basic syntax, variables, and data types
• Vectors, matrices, and operations
• Control flow: loops and conditional statements
• Functions, scripts, and debugging techniques
• Hands-on exercises and mini-project

Module 2: MATLAB for Data Processing and Visualization (14 hours – split into two sessions of 7 hours each)

Session 1

• Data import and export (CSV, Excel, databases)
• Data cleaning, filtering, and transformation
• Statistical analysis and data summarization

Session 2

• Plotting and visualization techniques (2D, 3D plots, dashboards)
• Interactive graphics and report generation
• Case study: Engineering data visualization

Module 3: Machine Learning with MATLAB (14 hours – split into two sessions of 7 hours each)

Session 1

• Overview of machine learning concepts
• Supervised vs. unsupervised learning
• Feature selection and preprocessing for ML models

Session 2

• Classification, regression, and clustering techniques
• Introduction to MATLAB’s Machine Learning Toolbox
• Hands-on project: Building and evaluating an ML model

Module 4: Signal Pre-processing and Feature Extraction for Data Analytics (7 hours)

• Basics of signal processing in MATLAB
• Noise reduction techniques (filtering, wavelet transform)
• Feature extraction for time-series data
• Fourier and wavelet analysis for engineering applications
• Practical applications: Sensor data processing in engineering

Module 5: Predictive Maintenance with MATLAB (7 hours)

• Introduction to predictive maintenance concepts
• Sensor data acquisition and preprocessing
• Anomaly detection techniques
• Fault prediction models and remaining useful life (RUL) estimation
• Case study: Implementing predictive maintenance for industrial equipment