Course - Statistical Thermodynamics in Chemistry and Biology - TKJ4215
Statistical Thermodynamics in Chemistry and Biology
About
About the course
Course content
The course introduces the basis of statistical thermodynamics with examples from chemistry and biology: entropy and Boltzmann distribution law, lattice models for liquids and mixtures, free energies, partition functions, chemical equilibrium, kinetics, electrochemistry, intermolecular forces, adsorption, catalysis, and polymers.
Learning outcome
After the course, the student is expected to be able to:
- Explain the basic concepts and principles in statistical thermodynamics.
- Use lattice models to study basic phenomena in chemistry and nanoscience.
- Construct new models based on the basic principles in statistical thermodynamics.
Learning methods and activities
Lectures and exercises. Obligatory programming exercises in Python. If there is a re-sit examination, the examination form may be changed from written to oral.
Compulsory assignments
- Exercises
Further on evaluation
If there is a re-sit examination, only the written exam is repeated.
Recommended previous knowledge
Basic knowledge in physics (in particular basic quantum mechanics and thermal physics/thermodynamics), chemistry, mathematics, informatics (Python programming) and statistics.
Course materials
K. A. Dill & S. Bromberg, Molecular Driving Forces: Statistical Thermodynamics in Chemistry and Biology, Garland Science, 2nd ed. 2011.
Subject areas
- Materials Science and Engineering
- Molecular Biophysics
- Thermodynamics
- Physical Chemistry
- Chemistry
- Nanotechnology
Contact information
Course coordinator
Lecturers
Department with academic responsibility
Examination
Examination
Ordinary examination - Spring 2022
Home exam (1)
Submission 2022-06-08 Time Release 09:00
Submission 13:00 Duration 4 hours Exam system Inspera Assessment
- Other comments
- 1) Merk at eksamensform er endret som et smittevernstiltak i den pågående koronasituasjonen.