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Dec 18, 2024
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MSE 119: Computational Materials Science
Units: 4
Introduces computational materials science, which involves the development and application of computational methods to model the properties of materials. Computational methods for simulating materials at different length and time scales are covered, including density functional theory, molecular dynamics, Monte Carlo, and phase-field modeling. Introduces the application of machine learning to problems in materials science. Hands-on experience with modern computational materials science software packages and develop proficiency in scientific computing, data analysis, and visualization.
Course Details
Repeats Allowed for Credit: 0
Laboratory included
Normal Letter Grade only
Requisites and Restrictions
Prerequisite Courses: (PHYS 008 or PHYS 008H or equivalent exam) and (MATH 021 or equivalent exam)
Instructor Permission Required: No
Good academic standing required
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