Quantum statistical physics has revolutionized the world we live in  providing a profound understanding of the microscopic world and driving the technological revolution of the last few decades. Modern physics increasingly relies on solving equations using computational techniques, for modelling anything from the big bang to quantum dot lasers. The advanced unit covers the same overall concepts as PHYS3034 but with a greater level of challenge and academic rigour, largely in separate lectures. You will study techniques of quantum mechanics to predict the energylevel structure of electrons in atoms, introducing techniques useful in the broad field of quantum physics, with applications e. g. in atomic clocks. You will study the theoretical foundation of statistical mechanics, including both classical and quantum distributions. You will apply a variety of numerical schemes for solving ordinary and partial differential equations, learn about the suitability of particular methods to particular problems, and their accuracy and stability. The module includes computational lab sessions, in which you will actively solve a range of physics problems. In completing this unit you will gain understanding of the foundations of modern physics and develop skills that will enable you to numerically solve complex problems in physics and beyond.
Unit details and rules
Unit code  PHYS3934 

Academic unit  Physics Academic Operations 
Credit points  6 
Prohibitions
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PHYS3034 or PHYS3039 or PHYS3939 or PHYS3042 or PHYS3942 or PHYS3043 or PHYS3943 or PHYS3044 or PHYS3944 or PHYS3090 or PHYS3990 or PHYS3991 or PHYS3999 or PHYS3099 
Prerequisites
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Average of 70 or above in [(PHYS2011 OR PHYS2911 OR PHYS2921) AND (PHYS2012 OR PHYS2912 OR PHYS2922)] 
Corequisites
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None 
Assumed knowledge
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(MATH2021 OR MATH2921 OR MATH2061 OR MATH2961 OR MATH2067) 
Available to study abroad and exchange students  Yes 
Teaching staff
Coordinator  Jonathan BlandHawthorn, jonathan.blandhawthorn@sydney.edu.au 

Lecturer(s)  Archil Kobakhidze, archil.kobakhidze@sydney.edu.au 
Ben Fulcher, ben.fulcher@sydney.edu.au  
Stephen Bartlett, stephen.bartlett@sydney.edu.au  
Isaac Kim, isaac.kim@sydney.edu.au 