From aeb0c6cf623b817138bc0973753c90be7f21595d Mon Sep 17 00:00:00 2001 From: "Michael F. Herbst" Date: Thu, 31 Oct 2024 17:07:28 +0100 Subject: [PATCH] Update course recommendation on index --- src/index.jl | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/src/index.jl b/src/index.jl index 16014aa..133298f 100644 --- a/src/index.jl +++ b/src/index.jl @@ -81,11 +81,15 @@ md""" (such as finite-element methods, finite-difference approaches, plane-wave methods) * Exposure to implementing numerical algorithms (e.g. using Python or Julia) +Past participants from materials science found it further useful to take this course after they followed the lectures on [Statistical Mechanics](https://edu.epfl.ch/coursebook/fr/statistical-mechanics-MSE-421) or [Fundamentals of solid state materials](https://edu.epfl.ch/coursebook/en/fundamentals-of-solid-state-materials-MSE-423). + This course delivers a mathematical viewpoint on materials modelling and it is explicitly intended for an interdisciplinary student audience. To keep it accessible, the key mathematical and physical concepts will both be revised as we go along. However, the learning curve will be steep and an interest to learn -about the respective other discipline is required. The problem sheets and the +about the respective other discipline is required. + +The problem sheets and the projects require a substantial amount of work and feature both theoretical (proof-oriented) and applied (programming-based and simulation-based) components. While there is some freedom for students to select their respective