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IGNOU

Fundamentals of Computational Biology

IGNOU and Chhattisgarh Swami Vivekanand Technical University via Swayam

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Overview

In recent years, the use of computational techniques such as modelling and machine learning has greatly contributed to the field of Biology, particularly Biotechnology, creating a new and emerging field of Computational Biology and Systems Biology. Various B. Tech and M. Tech programs have included these subjects in their course curricula, providing students with a valuable addition to their knowledge. However, as this is an emerging field, there are limited online courses and reading materials available. It is our hope that this course will provide a new dimension to its participants.Fundamentals of Computational Biology is a course designed to introduce students to the fundamentals of computational biology, including the basics of biotechnology, life sciences, mathematics, modelling, and computational approaches. This course is designed to be accessible to both undergraduate (B. Tech) and graduate (M. Tech) level students, and the goal is to provide them with a basic understanding of the computational and mathematical techniques in the field of biology, enabling them to apply them to the analysis of biological data.The course will feature online lectures and on-hand modelling/coding training, encouraging active participation from the students. For each lecture, course materials will be provided which will include in-depth topic-related notes, solved examples and codes for practice.The course includes weekly online assessments, allowing students' learning performance to be evaluated. Upon successful completion of the course, students will be awarded course completion certificates.

Syllabus

Week

Topics

Video Titles

Week-1

Course overview and basic concepts

Introduction to computational Biology

What are models?

Use of Mathematics in Biology

Week-2

Mathematical concepts in Biology

Concept of Vector algebra

Concept of Matrix algebra

Concept of Ordinary Differential Equations

Biological Models

Week-3

Basics of model building

Model building using ODE

Introduction to Bacterial growth kinetics

Different models of Bacterial growth kinetics

Introduction to Enzyme kinetics

Week-4

Application of models

Fundamentals of population dynamics

fundamentals of a graph theory

Basics of Data representation

Week-5

Data representation

Data representation using MATLAB T1 / Python

Data representation using MATLAB T2 / Python

Functions using MATLAB / Python

Week-6

Model simulations

Solving ODE equations using MATLAB T1 / Python

Solving ODE equations using MATLAB T2 / Python

Basics of Prey-predator model and population-based model building

Week-7

Modeling in healthcare and basic sciences

Infectious disease spread models, SIR, SI models

Introduction to Game theory, basic examples of game theories in biology

Modelling of game theories, prisoner’s dilemma, snow drift model

Week-8

Computational approach in Basic Physiology

Basics of circulatory system in humans

Basics of Respiratory system in humans

Modelling of respiration at cellular level

Week-9

Computational approach in Various Biological processes

Application of fluid mechanics principles in Biology

Basics of Transcription and Translation

Modelling of transcription and translation

Basics of Mutations and its importance

Week-10

Basics of Evolutionary processes

Mathematical models of Mutations

Basics of evolution and evolutionary processes

Mathematical models of evolutionary processes

Week-11

Applications of Computational approach in solving real world problems

Basics of Flux Balance Analysis

Computational approach to solve FBA

Molecular Switch and its application in the field of Biotechnology

Revision of Data representation

Week-12

Revision of model building and solving.

Revision of Basics of MATLAB / Python Programming

Revision of model building

Revision of examples of biological processes and modelling approach

Taught by

Dr. Tanushree Chatterjee & Dr. R.G. Brajesh

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