PHY3115 - Introduction to Computational Physics | ||||||||||||
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| * The offering term is subject to change without prior notice | ||||||||||||
Course Aims | ||||||||||||
Computational simulations play an essential role in many areas of physics. This course aims to introduce students the principles of commonly used numerical techniques, such as root finding, integration and differentiation, solving ordinary differential equations, Fourier analysis, etc., and their applications in physics. The course also trains students with hands-on programming skills in Python by implementing the learned concepts into workable codes to solve the programming exercises. This course builds the foundations of the advanced-level computational physics course. | ||||||||||||
Assessment (Indicative only, please check the detailed course information) | ||||||||||||
Continuous Assessment: 50% | ||||||||||||
Examination: 50% | ||||||||||||
Examination Duration: 2 hours | ||||||||||||
For a student to pass the course, at least 30% of the maximum mark for the examination must be obtained. | ||||||||||||
Detailed Course Information | ||||||||||||
| PHY3115.pdf | ||||||||||||
