This course explores the application of engineering principles to modeling in physiology and neuroscience, leveraging computing as a tool to better understand human body and the brain. It covers signal processing, control systems, and circuit theory for modeling complex biological processes, progressing from foundational physiology concepts to specialized topics in neural systems. Areas include advanced mathematical and computational methods, electrical analogs in physiological systems, feedback control in physiology, neuronal circuit modeling, bioelectric signal analysis, sensory system modeling, large-scale brain modeling, and neuromuscular system integration. Emphasis is placed on translating physiological concepts into quantitative frameworks, implementing models using computational tools familiar to engineers, and critically analyzing model predictions. Students will engage with current research literature and apply knowledge to construct, analyze, and interpret models of physiological and neural systems. This course prepares students for research and innovation in engineering applications such as wearables, human-computer interaction, biomedical instrumentation, and AI-driven healthcare technologies.

Continuous Assessment: 50%

Examination: 50%

To pass the course, students are required to achieve at least 30% in course work and 30% in the examination.

Examination Duration: 2 hours