In Fall 2021, I taught the Computational Methods course for the M.Sc. in Physics together with Dr. Mario Galante (under the guidance of Prof. Alexandre Tkatchenko). For this course, I prepared lectures, hands-on tutorials, homework exercises and exam projects. Challenging as it was at first, I enjoyed sharing my knowledge with the students and preparing for it diligently. The invested effort paid off in positive and encouraging feedback from our students at the end of the semester.

Below you can find my part of the lecture slides and hands-on sessions, as well as the exam projects that we created for this course.

Lessons

• Lesson 2: Numerical Differentiation: slides, hands-on session.
• Lesson 4: Numerical Integration: slides, hands-on session, example report.
• Lesson 7: Partial Differential Equations: slides, hands-on session.
• Lesson 9: Monte Carlo Methods: slides, hands-on session.
• Lesson 12: Schrödinger Equation: slides, hands-on session.

Exams

• Midterm exercises: elastic/inelastic collisions, heat equation, damped harmonic oscillator, projectile motion.
• Final projects: hard spheres molecular dynamics, pendulum motion, growth model, Schrödinger scattering on a barrier, 2D Ising model, random walk, shooting method.