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Biomedical Signals and Systems: Theory, Analysis, and Applications in Feedback Control
This comprehensive course provides an in-depth exploration of signals, systems, and control theory with a specific focus on applications within the biomedical field. Designed for students and professionals in biomedical engineering and related disciplines, the curriculum covers both foundational and advanced topics in the analysis and modeling of biological and biomedical systems. The course begins with an Introduction to Signals and Systems, where students learn about discrete and continuous...
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- • 77 pages •
This comprehensive course provides an in-depth exploration of signals, systems, and control theory with a specific focus on applications within the biomedical field. Designed for students and professionals in biomedical engineering and related disciplines, the curriculum covers both foundational and advanced topics in the analysis and modeling of biological and biomedical systems. The course begins with an Introduction to Signals and Systems, where students learn about discrete and continuous...
Foundations of Biomedical Data Science and Machine Learning (Graduate Level)
The curriculum begins with Module 1: Hypothesis Testing, which lays the groundwork for statistical analysis in biomedical data. It starts with an introduction to Python, essential for the practical components of the course, followed by reviews of probability and statistics to refresh and solidify foundational knowledge. Students learn various hypothesis testing methods, including parametric and non-parametric statistics, the considerations for multiple comparisons, and resampling-based statistic...
- Class notes
- • 72 pages •
The curriculum begins with Module 1: Hypothesis Testing, which lays the groundwork for statistical analysis in biomedical data. It starts with an introduction to Python, essential for the practical components of the course, followed by reviews of probability and statistics to refresh and solidify foundational knowledge. Students learn various hypothesis testing methods, including parametric and non-parametric statistics, the considerations for multiple comparisons, and resampling-based statistic...