Foundations of statistical learning, signal processing, and optimization methods for modeling and extracting structure from complex data. Emphasis on practical applications and computational workflows.
Focus: Signal Processing · Optimization · Statistical Learning · Data Modeling
Applications: Machine Learning · Signal Processing · Systems Modeling · Scientific Data Analysis
Level: Undergraduate / Graduate
Core principles of signal representation, filtering, and spectral analysis for data-driven applications.
Access materialsHands-on project covering real data analysis, signal processing techniques, and computational solutions.
Download projectMathematical and computational techniques for optimization in learning and inference problems.
Access lecture nodes