Roland Riek: Catalogue data in Autumn Semester 2018

Name Prof. Dr. Roland Riek
FieldPhysical Chemistry
Address
Inst. Mol. Phys. Wiss.
ETH Zürich, HCI F 225
Vladimir-Prelog-Weg 1-5/10
8093 Zürich
SWITZERLAND
Telephone+41 44 632 61 39
E-mailroland.riek@phys.chem.ethz.ch
DepartmentChemistry and Applied Biosciences
RelationshipFull Professor

NumberTitleECTSHoursLecturers
529-0499-00LPhysical Chemistry1 credit1KB. H. Meier, G. Jeschke, F. Merkt, M. Reiher, J. Richardson, R. Riek, S. Riniker, T. Schmidt, R. Signorell, H. J. Wörner
AbstractInstitute-Seminar covering current research Topics in Physical Chemistry
Objective
529-1023-00LPhysical Chemistry I (for Biology and Pharmacy)3 credits2V + 1UR. Riek
AbstractThe laws of thermodynamics: empirical temperature, energy, entropy. Models and standard states: ideal gases, ideal solutions and mixtures, activity, standard thermodynamic values. Reaction thermodynamics: chemical potential, thermodynamic parameters of reactions, equilibrium conditions and their temperature and pressure dependence, biochemical reactions, surface effects, colligative properties.
ObjectiveUnderstanding the fundamental thermodynamic properties of chemical and biological systems.
ContentThe laws of thermodynamics: empirical temperature, energy, entropy. Models and standard states: ideal gases, ideal solutions and mixtures, activity, standard thermodynamic values. Reaction thermodynamics: chemical potential, thermodynamic parameters of reactions, equilibrium conditions and their temperature and pressure dependence, biochemical reactions, surface effects, colligative properties.
Lecture notesin process, will be distributed at the beginning of the first lecture
Literature1) Atkins, P.W., 1999, Physical Chemistry, Oxford University Press, 6th ed., 1999.
2) Moore, W.J., 1990: Grundlagen der physikalischen Chemie, W. de Gruyter, Berlin.
3) Adam, G., Läuger, P., Stark, G., 1988: Physikalische Chemie und Biophysik, 2. Aufl., Springer Verlag, Berlin.
Prerequisites / NoticePrerequisite: mathematics I+II, functions of multiple variables, partial derivatives.
In particular: There are learning tasks used as performance assessments.