The course then introduces the grammar of data, focusing on how biological observations can be represented using mathematical structures such as vectors, matrices, and functions.
Prof. Srinivasa ChakravarthyCo-founder & Chief Scientist, Neurogati. Professor, IIT Madras
This micro-course introduces the essential mathematical foundations required for students entering computational neuroscience, biomedical data science, and quantitative medicine. Participants will begin by understanding why mathematics is important in biology and how mathematical concepts allow complex biological phenomena to be represented, measured, and analyzed.
Understand how mathematical concepts such as functions, vectors, derivatives, probability, and optimization provide the foundation for describing, analyzing, and modeling biological systems
Develop the ability to interpret how biological systems change over time using calculus, differential equations, and dynamical systems concept
Learn how mathematical tools from signal processing help analyze real-world biomedical signals such as EEG, ECG, and neural recordings
8 chapters · 35 lessons
Measurement and Quantification
Variables and Mathematical Relationships
Functions as Models
Why Mathematics is Essential in Biology and Medicine
Co-founder & Chief Scientist, Neurogati. Professor, IIT Madras
.png&w=96&q=75){kind=small}