Computational Physics

Undergraduate

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Mode icon
Mode
Mode
Your studies will be on-campus, and may include some online delivery
On campus
area/catalogue icon
Area/Catalogue
PHYS X300
Course ID icon
Course ID
207863
Campus icon
Campus
Adelaide City Campus East
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course owner
Course owner
School of Phys, Chem and E Sci
Course level icon
Course level
3
Work Integrated Learning course
Work Integrated Learning course
Yes
Work Integrated Learning type
Work Integrated Learning type
Project
Work Integrated Learning hours
Work Integrated Learning hours
80 hours
Study abroad and student exchange icon
Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No

Course overview

This hands-on course introduces computational methods in solving problems in physics. It teaches programming tactics, numerical methods and their implementation, together with methods of linear algebra.

  • Introduction to Python for physicists
  • Advanced scientific computing in Python
  • High performance simulations with C++

Course learning outcomes

  • Describe modern programming methods and their capabilities and limitations in physics applications.
  • Identify and describe the characteristics of various numerical methods.
  • Establish tactics for encapsulating and hiding complexity.
  • Independently program computers using leading-edge tools.
  • Formulate and solve computationally a selection of problems in physics.
  • Use the tools, methodologies, language and conventions of physics to test and communicate ideas and explanations.
  • Decide the appropriate paradigm for addressing current computational physics challenges.

Prerequisite(s)

  • Must have completed all of MATHX202 Differential Equations/MATHX203 Multivariable Calculus/PHYS2001 Quantum Mechanics and Experimental Physics 2/PHYS2002 Electromagnetism 2

Corequisite(s)

N/A

Antirequisite(s)

  • Must not have completed PHYSICS 3534 Computational Physics III at the University of Adelaide

Assumed knowledge

N/A

Textbook(s)

N/A

Inherent requirements

N/A

Other resources

N/A

Assessment

  • Portfolio – 40%
  • Problem Solving Task – 20%
  • Short Response Questions – 20%
  • Problem Solving Task – 20%
Degree list
The following degrees include this course
Bachelor of Science
Bachelor of Science (Honours)