| Abstract: |
Graphs and functions, Derivative of a function, Techniques of differentiation Differentiation and its application in Biology, Finding maxima, minima, Plotting functions, Integrals, Techniques of Integration
Scalars and vectors. Force, Concentration gradient, Polar coordinates
Differential equations, Nernst Equation, Diffusion Equation, Mean'square displacement, Einstein’s relation
Probability and Statistics: Mean and variance, Distribution functions: Normal Distribution, Uniform distribution, Poisson distributions, Knudson’s analysis, Wright'Fisher model, Fitting a function to experimental data
Fourier Series, Fourier transform, Z'transform, Discussion of the use of Fourier transformation in X'ray crystallography, and other areas in biology.
Modeling biological problems: Statistical thermodynamics,
Flexible proteins''size and conformations, Polymerization dynamics, Molecular motor motion, Bending and looping of DNA, Protein organization along DNA |
Electronics & Communication Engineering
Biomathematics
