Thermodynamics Course: Classical to Statistical | IIT Guwahati Prof. Sandip Paul
Course Details
| Exam Registration | 11 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 12 weeks |
| Categories | Chemistry |
| Credit Points | 3 |
| Level | Undergraduate/Postgraduate |
| Start Date | 19 Jan 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 20 Feb 2026 |
| Exam Date | 26 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Bridge the Gap Between Macroscopic Laws and Microscopic Behavior
Have you ever wondered how the predictable laws governing heat engines and chemical reactions emerge from the chaotic dance of countless atoms and molecules? The journey from Classical Thermodynamics to Statistical Mechanics is one of the most profound in physical science, revealing the hidden statistical underpinnings of our macroscopic world. This 12-week course, meticulously designed and taught by Prof. Sandip Paul of IIT Guwahati, offers a deep dive into this fascinating transition.
About the Instructor: Learn from an Expert in Statistical Mechanics
Prof. Sandip Paul brings a wealth of knowledge and research experience to this course. After completing his Ph.D. in Computational Chemistry from IIT Kanpur, he pursued postdoctoral research with renowned scientists at the University of British Columbia and the University of North Carolina. His research group at IIT Guwahati focuses on applying statistical mechanics to solve real-world problems in chemistry and biology, such as understanding protein stability and enhancing drug solubility. With over 64 published journal papers, Prof. Paul is perfectly positioned to guide you through the intricate concepts of this field.
Who Should Enroll in This Course?
This course is specifically tailored for:
- Final year BSc students in Chemistry
- MSc students in Chemistry
- PhD scholars in Chemistry and related fields
- Any interested learner with a curiosity about the foundations of physical chemistry
No prior specialized knowledge of the subject is required. The course is structured to build your understanding from the ground up, demonstrating how the properties of large systems are a direct consequence of the behavior of their microscopic constituents.
Detailed 12-Week Course Layout
The course is structured to take you on a logical journey from foundational concepts to advanced statistical theories.
| Week | Topics Covered |
|---|---|
| Week 1-4 | Classical Foundations: Ideal & real gases, First Law of Thermodynamics, state/path functions, activity coefficients, Debye-Hückel theory, and phase diagrams of two-component systems. |
| Week 5 | Introduction to Statistical Ideas: One-dimensional random walk and its fundamental importance. |
| Week 6-8 | Statistical Ensemble Theory: Canonical ensemble, calculation of thermodynamic quantities (pressure, energy), and derivation of translational, rotational, and vibrational partition functions. |
| Week 9-12 | Quantum Statistics: Statistics of ideal gases, symmetry requirements, Bose-Einstein statistics, ideal Bose gas, and the application to systems like ortho and para hydrogen. |
Key Learning Outcomes
By the end of this course, you will:
- Grasp the physical and statistical basis of thermodynamic laws.
- Be able to derive macroscopic properties from microscopic particle statistics.
- Understand and calculate partition functions for different energy modes.
- Differentiate between classical and quantum statistical distributions (Maxwell-Boltzmann vs. Bose-Einstein).
- Apply these principles to explain real chemical and physical phenomena.
Recommended Textbooks
To supplement your learning, the following authoritative texts are recommended:
- Physical Chemistry: A Molecular Approach by D. A. McQuarrie and J. D. Simon
- Physical Chemistry by R. S. Berry, S. A. Rice and J. Ross
- Statistical Mechanics by D. A. McQuarrie
- Statistical Mechanics by R. K. Pathria
Why Take This Course?
This course offers more than just formulas; it provides a broader spectrum of skills and a deeper, more intuitive understanding of the physical world. Whether you aim to excel in academics, pursue research in theoretical chemistry, or simply satisfy an intellectual curiosity about how nature works at its most fundamental level, Thermodynamics: Classical to Statistical is an invaluable resource. Enroll today and begin your journey from the observable to the atomic.
Enroll Now →