Syllabus for 2020 Energy and Entropy

Course name:
Paradigms in Physics: Energy and Entropy
Course number:
PH 423
Instructor:
David Roundy
Office hours:
Roundy
Tuesdays 12-1, Thursdays 3-4, Mondays 8-10 in person at MLK Park or email me for an appointment,
Manogue
Wednesdays 4-5, Fridays 4-5 or email me for an appointment
Dustin
Thursdays 11-12, Thursdays 4-5
Tyler
Thursdays 8-9 PM, Fridays 5-6
Jon
Fridays 6-8 PM
Course credits:
3
Class meeting times:
7 hours of lecture per week for five weeks
Prerequisites:
Recommended PH 213
Course description:
Thermodynamics and canonical statistical mechanics.
Learning resources:
Optional text: An introduction to Thermal Physics by Daniel Schroeder
Learning outcomes:
  • 1) Use both dimensional reasoning and intensivity/extensivity to make sense of mathematical expressions involving thermodynamic variables
  • 2) Interpret phase diagrams and reason about processes involving phase transitions
  • 3) Explain how a given partial derivative relates to a particular experimental measurement
  • 4) Distinguish between state properties and quantities such as heat and work that arise from inexact differentials
  • 5) Use terms from thermodynamics such as quasistatic, reversible, adiabatic, intensive, extensive, and isothermal in physical context
  • 6) Use the laws of thermodynamics to solve problems both for generic systems (for with the equation of state is not known) and for specific systems such as the ideal gas
  • 7) Reason about thermodynamic processes and cycles, including integrating along paths
  • 8) Use the methods of statistical mechanics (in particular, the Boltzmann ratio, and summation over probabilities) to solve for thermal properties in equilibrium
  • 9) Describe the Gibbs and Boltzmann statistical formulations for entropy
Course content:
  • 1) Entropy, heat, and temperature
  • 2) First Law of Thermodynamics, work and heat
  • 3) Second Law of Thermodynamics and irreversible processes
  • 4) Phase diagrams
  • 5) Heat engines and Carnot efficiency
  • 6) Thermodynamic potentials and Maxwell relations
  • 7) Canonical statistical mechanics
  • M1) Partial derivative relationships
  • M2) Differentials
  • M3) Legendre transforms
  • M4) Numerical integration of experimental data
See also course schedule.
Evaluation of student performance:
The class will be graded based on homework, a midterm exam, and a final exam.
40%
Homework
20%
Midterm exam
40%
Final exam
Late homework is accepted at any point prior to the final exam, with reduced credit.
Academic calendar:
All students are subject to the registration and refund deadlines as stated in the Academic Calendar: https://registrar.oregonstate.edu/osu-academic-calendar
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Students are expected to comply with the University code of conduct, available at https://beav.es/codeofconduct.
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