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
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
Module
Topics
Module- I: Calculus
Lecture 1: Introduction
Keywords: Mathematics as a language, Need of learning mathematics, Applications of mathematics in BIology
Lecture 2: Graphs and functions - I
Keywords: Linear function, Quadratic function, Exponential function
Lecture 3: Graphs and functions - II
Keywords: Periodic functions, Combination of simple functions, Examples from Biology
Lecture 4: Functions and derivatives
Keywords: Logarithmic function, Slope of curves, Idea of derivative
Lecture 5: Calculation of derivatives
Keywords: Derivatives of simple functions, Derivative of exponential function, Derivative of sum of two functions
Lecture 6: Differentiation and its application in Biology - I
Keywords: Product rule in differentiation, Derivatives of Sine and Cosine functions, Plotting derivatives, Differential calculus to understand actin polymerization
Lecture 7 : Differentiation and its application in Biology - II
Keywords: Enthalpy and Entropy of a chemical reaction, Growth curve, Idea of curvature
Lecture 8 : Differentiation and its application in Biology - III
Keywords: Curvature, Free energy, Energy of spring-like protein, Maxima and Minima of a function
Lecture 9: Differentiation and its application in Biology - IV
Keywords: Force and energy, DNA unzipping, Plotting mathematical functions
Lecture 10: Integration -I
Keywords: Indefinite integrals, integration of simple functions, Integral as “anti-derivative”
Lecture 11: Integration - II
Keywords: Definite integrals, Integral as area under a curve, Integration by parts, Finding derivative and integral given a set of data points
Module: II: Differential Equations
Lecture: 12: Differential equations-I
Keywords: Simple differential equations, First order differential equations, Examples: Polymerizing and depolymerizing filaments, Cell growth
Lecture : 13: Differential equations - II
Keywords: Concentration gradient, Second order differential equations. Motion of an object under external force : Newton’s equations
Module III: Vectors
Lecture 14: Vectors - I
Keywords: Physical quantities like position and force as vectors, Attracting and repelling charges, Vector addition
Lecture 15: Vectors - II
Keywords: Calculation of forces in a system of charges, Calculation of magnitude and direction of a vector, Unit vectors, Calculation of resultant force
Lecture 16: Vectors - III
Keywords: Dot product and cross product, Polar coordinate system, Gradient of a scalar
Module IV: Applications of calculus and vector algebra in biology
Lecture 17: Nernst equation
Keywords: Potential difference across a membrane, Flow of ions due to diffusion, Flow of ions due to electrostatic interactions
Lecture 18: Diffusion-I : Diffusion equation
Keywords: Continuity equation, Diffusion equation, Mean-square position
Keywords: Mean-square displacement, Derivation of mean-square displacement, Mean-square distance scaling with time, Diffusion timescale
Lecture 20: Diffusion-III : Einstein’s relation
Keywords: Mean displacement, Diffusion coefficient, Einstein's relation, Diffusion under external field
Module V: Probability and statistics in Biology
Lecture 21 : Statistics : Mean and variance
Keywords: Introduction to statistics, Mean/Average, Variance, Standard deviation
Lecture 22: Statistics: Distribution function
Keywords: Introduction to distribution functions, Normal distribution, Examples from biology: End-to-end vector distribution of DNA, Concentration distribution
Lecture 23 : Understanding Normal distribution
Keywords: Gaussian function, Peak as average of normal distribution, Width of a Gaussian and standard deviation
Lecture 24: Fitting a function to experimental data
Keywords: Linear fit, Least-square fit, Errors
Lecture 25 : Size of a flexible protein: Simplest model
Keywords: Flexible protein chain, End-to-end distance, End-to-end distance scaling with polymer length, Random walk, Normal distribution, Exponential distribution
Lecture 26: Uniform and Poisson distributions; Knudson’s analysis
Keywords: Uniform distribution, Poisson distribution, Knudson’s analysis of retinoblastoma patients, Poisson statistics and tumor
Module VI : Fourier series and Fourier transform
Lecture 27: Fourier Series-I
Keywords: Introduction to Fourier series, Fourier coefficients, Calculation of Fourier series for simple functions, Sum of periodic functions
Lecture 28: Fourier Series-II
Keywords: Fourier coefficients with more examples, Calculation of Fourier series for square-wave-like function, Learning Fourier series by plotting functions
Lecture 29: Fourier transform
Keywords: Introduction to Fourier transform, Fourier space, Inverse Fourier transform, Application of Fourier transform: X-ray crystallography, structure studies of proteins, Z-transform
Module VII: Mathematical models in biology
Lecture 30: Master equation: Polymerization dynamics, Molecular motor motion
Keywords: Simple model for polymerization depolymerization dynamics, Simple model for molecular motor motion, Biased walk, Growth velocity of polymerizing filaments, Master equation, Solving master equation
Lecture 31: Evolution: Simplest model
Keywords: Wright-Fisher model, Simplest model in population genetics/evolution, Binomial distribution, Evolution
Module VIII: Tutorials
Lecture 32: Tutorial - I
Keywords: Microtubule dynamics, Dynamic instability, application of functions and derivatives, Enzyme kinetics
Lecture 33: Tutorial-II
Keywords: Vectors, Pulling chromosome, Diffusion coefficient, Integral of a Gaussian function
Module IX : Statistical thermodynamics of biological systems
Lecture 34: Temperature, Energy and Entropy
Keywords: Definition of temperature, Definition of internal energy, Definition of entropy, Calculation of entropy, entropy of a flexible protein
Lecture 35: Partition function, Free energy
Keywords: Definitions, Calculation of partition function, Calculation of Free energy, Thermal Equilibrium, Bending of DNA
Lecture 36: Bending fluctuations of DNA and spring-like proteins
Keywords: Worm-like chain model, Partition function, Gibbs free energy
Lecture 37: Force-extension and looping of DNA
Keywords: Force extension relation of single stranded DNA, Persistence length, Looping of DNA,
Lecture 38: Thermodynamics of protein organization along DNA
Keywords: Proteins binding on DNA, Calculation of energy, entropy and free energy, Thought-experiment on DNA melting
Lecture 39: Learning mathematics with the help of a computer
Keywords: Plotting functions using computer, gnuplot demonstration, numerical calculations, Interpolation
Mathematics for Biological Scientists, M. Aitken, B. Broadhursts, S. Haldky, Garland Science (2009)
Introduction to Mathematics for Life Scientists, E. Batschelet, Springer Verlag, 3rd edition (2003)
Calculus for Life Sciences, R. De Sapio, W. H. Freeman and Co. (1976)
Physical Biology of the Cell, R Phillips, J Kondev, J. Theriot, Garland Science (2009)
Random Walks in Biology, H. C. Berg, Princeton university press (1993)
Biological Physics, Philip Nelson, W. H. Freeman, 1st edition (2007)
Mechanics of Motor Proteins and the Cytoskeleton, J. Howard, Sinauer Associates; New edition (2001)
Calculus and Analytic Geometry, Georege Thomas, Ross Finney Addison Wesley, 9 edition (1995)
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