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.
| Course Status : | Completed |
| Course Type : | Not Applicable |
| Language for course content : | English |
| Duration : | 12 weeks |
| Category : |
|
| Credit Points : | 4 |
| Level : | Undergraduate/Postgraduate |
| Start Date : | 01 Jan 2024 |
| End Date : | 30 Apr 2024 |
| Enrollment Ends : | 29 Feb 2024 |
| Exam Date : | 25 May 2024 IST |
| Exam Shift : | Shift-I |
Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.
|
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 |
Dr Tanushree is the Head of the Department of Biotechnology at Raipur Institute of Technology (RIT) and has more than 30 years of teaching and research experience. She has previously worked at University of Allahabad for five years, MS University Baroda for eleven years and RIT for over sixteen years. She received her PhD from University of Allahabad in 1992 and post-doctoral from CSIR New Delhi in 1997.
She has published more than forty papers in reputed journals and authored six book chapters. Two students have been awarded PhDs under her supervision and she is currently guiding four PhD scholars. She has held prestigious positions at RIT and CSVTU including Ex-Principal, Chairman of the Biotechnology Board of Studies, Academic Council Member, TEQUIP Coordinator and Ethical Committee Member.
Dr Tanushree is the recipient of the Global Award for Excellence in Research under the category HEI Professor for 2019 and 2020. She has organized various conferences under her supervision and has been a keynote speaker at various conferences.
Dr. Brajesh is currently working as Assistant Professor in the department of Biomedical Engineering and Bioinformatics, his research interest includes Computational modelling, metabolic rewiring.
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