Course Identification

Statistical Mechanics 1
20261161

Lecturers and Teaching Assistants

Prof. Oren Raz
N/A

Course Schedule and Location

2026
First Semester
Tuesday, 09:15 - 11:00, Weissman, Auditorium
Thursday, 09:15 - 11:00, Drori Auditorium

Tutorials
Tuesday, 11:15 - 13:00, Weissman, Auditorium
28/10/2025
22/01/2026

Field of Study, Course Type and Credit Points

Physical Sciences: Lecture; Obligatory; 6.00 points
Chemical Sciences: 6.00 points
Life Sciences (Brain Sciences: Systems, Computational and Cognitive Neuroscience Track): 6.00 points

Comments

N/A

Prerequisites

A basic knowledge in statistical mechanics (Ensemble theory, the partition function and what can be calculated from it) as well as thermodynamics (Free energy) is assumed.

Restrictions

70

Language of Instruction

English

Attendance and participation

Expected and Recommended

Grade Type

Numerical (out of 100)

Grade Breakdown (in %)

50%
50%

Evaluation Type

Examination

Scheduled date 1

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-
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Scheduled date 2

N/A
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-
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Estimated Weekly Independent Workload (in hours)

9

Syllabus

The course will deal with the following topics:

Equilibrium statistical physics: Phase transitions and critical phenomena, including: 

Ising type models - mean field, 1D, 2D, Duality, 3D; renormalization group approach - real space and Fourier space.

Stochastic Dynamics: Random variables, Langevine equations and the Fokker-planck equation, linear response and fluctuation dissipation.

Learning Outcomes

Upon successful completion of this course students should be able to:

  1. Recall the basic notions of thermodynamics and statistical physics from a new deductive perspective.
  2. Discuss interacting systems and phase transitions.
  3. Appreciate how competition of order and disorder determines the properties of systems at different space dimensionalities, how the renormalization group framework explains universality of critical phenomena.
  4. Become acquainted with basic tools in stochastic dynamics.

Reading List

Lecture notes

Basic books:

  1. L. D. Landau and E. M. Lifshitz, Statistical Physics Part 1.
  2. R. Kubo, Statistical Mechanics.
  3. K. Huang, Statistical Mechanics.
  4. H. Callen  Thermodynamics


Course reading:

  1. M. Kardar Statistical Physics of Fields
  2. M. Kardar Statistical Physics of Particles
  3. R. K. Pathria, Statistical Mechanics.

Website

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