**Lectures and Recitations**

Lectures will be held on Tuesdays and Thursdays from 9:30 am until 11:00 am in Physics 940.

Recitations will be held on

Recitations will be held on Fridays from 3:30 pm until 4:45 pm via Zoom. Recitations will begin the *second* week of the course.

David Grier's office hours will be held on Mondays from 1:30 pm to 3:00 pm in Physics 873.

Lauren Altman's office hours will be held on Fridays from 1:00 pm to 2:00 pm in Physics 940.

**Instructors**

**David G. Grier**

Office: 726 Broadway, room 873

Phone: (212) 998-3713

email: david.grier@nyu.edu

**Lauren Altman**

Office: 726 Broadway, room 864F

Email: lea336@nyu.edu

**Text**

Most graduate texts in statistical physics cover the material of this course. Suitable choices include

- Mehran Kardar,
*Statistical Physics of Particles*(Cambridge University Press, 2007) ISBN 978-0-521-87342-0 (hardcover); - Mehran Kardar,
*Statistical Physics of Fields*(Cambridge University Press, 2007) ISBN 978-0-521-87341-3 (hardcover). - R. K. Pathria and Paul D. Beale,
*Statistical Mechanics*(Elsevier, 2011) ISBN 978-0-12-382188-1 (paperback).

Undergraduate texts also may provide useful background material. Typical choices include

- Frederick Reif,
*Fundamentals of Statistical and Thermal Physics*(Waveland Press, 2009) ISBN 978-1-57766-612-7. - Charles Kittel and Herbert Kroemer,
*Thermal Physics*(W. H. Freeman, 1980) ISBN 978-0716710882. - Daniel V. Schroeder,
*An Introduction to Thermal Physics*(Pearson, 1999) ISBN 978-0201380279.

**Outline**

- Thermodynamics
- Probability
- Kinetic theory of gases
- Classical statistical mechanics
- Interacting particles
- Quantum statistical mechanics
- Ideal quantum gases
- Introduction to Landau-Ginzburg theory

**Problem Sets**

Problem sets will be assigned roughly once per week on Tuesdays. They will be due at the beginning of lecture one week after they are assigned. Graded problem sets will be returned the following Friday in recitation. Solutions to problem sets will be posted on NYU Classes.

You are encouraged to work on problem sets with other students in the course. If you choose to take this option, please note the names of your collaborators on your assignments. Duplicate solutions turned in without such notations may raise concerns about plagiarism.

**Exams**

There will be one midterm exam and a final exam at the end of the class.

The midterm exam is scheduled tentatively for Tuesday, March 3 from 9:30 pm to 11:00 am.

**Grading**

The grade for this course is based on scores for the three categories of assessments:

1. Problem Sets (30%)

2. Midterm Exam (30%)

3. Final Exam (40%)

The score for each assessment (e.g. the midterm) is normalized by the class' mean score for that assessment. An average performance on all graded aspects of the course therefore yields an overall score of 1, which generally corresponds to a letter grade of B+. The actual mapping of scores to letter grades depends on the instructor's judgement.