Thermodynamics for Biological Systems Course | NPTEL IIT Madras
Course Details
| Exam Registration | 14 |
|---|---|
| Course Status | Ongoing |
| Course Type | Core |
| Language | English |
| Duration | 12 weeks |
| Categories | Biological Sciences & Bioengineering, Bioprocesses |
| Credit Points | 3 |
| Level | Undergraduate |
| Start Date | 19 Jan 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 20 Feb 2026 |
| Exam Date | 18 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Master the Thermodynamic Principles Governing Life: A Comprehensive Course from IIT Madras
Thermodynamics forms the bedrock of understanding energy transformations, a process central to all biological systems. For students and professionals in biological engineering, biotechnology, and related fields, a firm grasp of thermodynamic principles is not just beneficial—it's essential. The NPTEL online course, Thermodynamics for Biological Systems: Classical and Statistical Aspect, offers a unique and complete toolkit for analyzing and manipulating biosystems from an energy perspective.
Why This Course is Essential for Modern Bio-Professionals
Biological systems, from cellular processes to industrial bioreactors, operate under the immutable laws of thermodynamics. Classical thermodynamics provides powerful tools for analyzing systems in the continuum domain—where large numbers of molecules allow for predictable average behavior. However, biology often operates at the nanoscale, where the number of molecules per cell for a specific species can be very low (less than 100). In such scenarios, classical assumptions break down.
This is where statistical thermodynamics becomes indispensable. This course bridges the gap by providing a holistic education in both classical and statistical thermodynamics, tailored specifically for biological contexts. It empowers learners to analyze everything from protein folding and enzyme kinetics to metabolic pathways and large-scale bioprocess design with the appropriate theoretical framework.
Meet Your Expert Instructors from IIT Madras
The course is led by two distinguished professors from the Department of Biotechnology at the Indian Institute of Technology Madras, bringing together decades of research and teaching excellence.
Prof. G. K. Suraishkumar
Prof. Suraishkumar is a passionate educator and researcher with a Ph.D. from Drexel University, USA. His career spans IIT Bombay and IIT Madras, where he has made significant contributions to student learning methodologies. He is the author of the book Continuum Analysis of Biological Systems and has created several NPTEL courses, including a 40-lecture series on Classical Thermodynamics for Biological Systems. His research focuses on reactive species in cancer and nanoparticle toxicity, and he has a strong record of patents and industrial technology transfer, notably with Biocon.
Prof. Sanjib Senapati
Prof. Senapati specializes in the computational understanding of biological molecules. After earning his Ph.D. from IIT Kanpur and postdoctoral research at UNC Chapel Hill and UC San Diego, he joined IIT Madras. His research employs molecular dynamics simulations, docking, and statistical mechanics to study protein-ligand interactions, drug design, and biomolecule stability in novel solvents like ionic liquids. His expertise in statistical mechanics provides the perfect foundation for teaching the statistical thermodynamics portion of this course.
Course Structure: A 12-Week Journey
This undergraduate-level course is meticulously structured over 12 weeks to build a strong, applicable understanding of thermodynamics for biological systems.
| Week | Topics Covered |
|---|---|
| 1-2 | Review of concepts; Additional useful thermodynamic functions |
| 3-4 | Thermodynamic properties of pure fluids |
| 5-6 | Thermodynamics of solutions; Introduction to Phase equilibria |
| 7-8 | Phase equilibria (contd); Reaction equilibria; Mid-course Review |
| 9-10 | Statistical Thermodynamics: Definition, Application, Macrostates, Microstates, Partition function, Boltzmann Distribution Law |
| 11-12 | Partition function and thermodynamic properties; Ensemble and time average; Final Review |
Who Should Enroll?
- Intended Audience: Undergraduate and postgraduate students in Biological Engineering, Biotechnology, Biosciences, and Chemical Engineering. Practitioners in the biotechnology and pharmaceutical industries will also find it highly valuable.
- Prerequisites: A solid foundation in undergraduate mathematics, particularly differential calculus and differential equations. Familiarity with an introductory differential equations course is recommended.
- Industry Support: The course is highly relevant for the biotechnology, pharmaceutical, and bio-process industries, where thermodynamic analysis is key to process optimization, drug design, and product development.
Learning Outcomes and Key Resources
Upon completion, participants will be able to:
- Apply classical thermodynamics to analyze biological systems at the macro-scale (e.g., bioreactors).
- Utilize statistical thermodynamics to understand molecular-level phenomena (e.g., ligand binding, protein stability).
- Solve problems related to phase equilibria and reaction equilibria in biological contexts.
- Choose the correct thermodynamic framework for analyzing a given biological problem.
Primary Textbooks:
- Smith, Van Ness, Abbott, & Bhatt, Introduction to Chemical Engineering Thermodynamics (7th Ed.).
- Leach, Molecular Modeling: Principles and Applications (2nd Ed.).
This NPTEL course represents a rare opportunity to learn a unified approach to biological thermodynamics from leading experts at one of India's premier institutions. Whether you aim to advance in academic research or optimize processes in the biotech industry, mastering the content of this course will provide a fundamental and powerful advantage in understanding and designing the systems of life.
Enroll Now →