Numerical Methods in Materials Science & Engineering
Course Description
Computational materials science is one of the fastest growing disciplines in materials science. The simulation of materials at a range of scales, from the quantum and molecular, via the mesoscale to continuum level, can provide various scientific advances. MBN 310 course will cover both the theoretical and practical studies in the computational materials science and nanotechnology. Within the framework of this course, students will learn numerical methods and algorithms in general. This course will provide information about diffusion, kinetics, and molecular dynamics; and give hands-on information about state of the art computer software to adapt the students into this rapidly developing field.
Students are required to bring their laptops to classes.
Lecture Hours
- Monday: 14:30 - 16:20
- Thursday: 12:30 - 14:20
Course Outline
- 1st Week Basic Programming and Algorithms
- 2nd Week Matrix Operations and Root finding
- 3rd Week Matrix Operations and Numerical Integration
- 4th Week Random Numbers and Random Walk
- 5th Week Numerical Methods for Ordinary Differential Equations / Eulers & Heun Methods
- 6th Week Numerical Methods for Ordinary Differential Equations / Applications
- 7th Week Numerical Methods for Partial Differential Equations / Diffusion
- 8th Week Numerical Methods for Partial Differential Equations / Diffusion
- 9th Week Numerical Methods for Partial Differential Equations / Wave Equation
- 10th Week Molecular Dynamics
- 11th Week Molecular Dynamics
- 12th Week Molecular Dynamics / Project Presentations
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