NOC:Introductory Mathematical Methods for Biologists - Study24x7

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NOC:Introductory Mathematical Methods for Biologists

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It is an introductory mathematics course for biology students with the aim of training them to do quantitative analysis of biological systems. Students will be trained on how to use the language of mathematics to describe biological processes, how to write down simple mathematical equations for various phenomena occurring in biology.

• Total 8 Modules
• 40 Videos
• Published on 18 June, 2019

WEEK 1

• Lecture 1 : Introduction

28m
• Lecture 2 : Graphs and Functions

28m
• Lecture 3 : Equations as Graphs

29m
• Lecture 4 : Graphs : Exponential and Periodic Functions

29m
• Lecture 5 : Graphs : Logarithmic and Other Functions?

29m

WEEK 2

• Lecture 6 : Images as 2D/3D Functions

29m
• Lecture 7 : Functions and its Derivatives

28m
• Lecture 8 : Computing Derivatives of Curves

28m
• Lecture 9 : Rules for Calculating Derivatives?

29m
• Lecture 10 : Understanding Derivatives?

28m

WEEK 3

• Lecture 11 : Curvature and Second Derivative?

28m
• Lecture 12 : Plotting Curves

25m
• Lecture 13 : Numerical Calculation of Derivatives?

31m
• Lecture 14 : Function, Derivatives and Series Expansion

31m
• Lecture 15 : L'Hopital's Rule and Partial Derivatives??

27m

WEEK 4

• Lecture 16 : Integration

29m
• Lecture 17 : Integration : Rules

26m
• Lecture 18 : Integration : Graphical Understanding

28m
• Lecture 19 : Integration : More Examples??

30m
• Lecture 20 : Integration : Product of Two Functions??

28m

WEEK 5

• Lecture 21 : Exponential Growth and Decay

29m
• Lecture 22 : Scalars and Vectors

29m
• Lecture 23 : Vectors : Position and Movement in 2D

28m
• Lecture 24 : Cell Symmetry : Use of Polar Coordinates?

28m
• Lecture 25 : Gradient, Forces and Flows : Part I

28m

WEEK 6

• Lecture 26 : Gradient, Forces and Flows : Part II

26m
• Lecture 27 : Understanding Diffusion?

26m
• Lecture 28 : Diffusion Constant and Einstein Relation 1905

28m
• Lecture 29 : Diffusion Equation?

30m
• Lecture 30 : Diffusion vs. Active Transport

27m

WEEK? 7

• Lecture 31 : Nernst Equation

28m
• Lecture 32 : Fourier Series : Part I

29m
• Lecture 33 : Fourier Series : Part II

25m
• Lecture 34 : Fourier Transform

29m
• Lecture 35 : Introduction to Statistics

29m

WEEK 8

• Lecture 36 : Mean, Standard deviation and Distribution

25m
• Lecture 37 : Frequency Distribution and Probability Distribution

29m
• Lecture 38 : Binomial Distribution

28m
• Lecture 39 : Normal Distribution

28m
• Lecture 40 : Hypothesis Testing and Mathematical Modeling

30m

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