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Each lecture contains material on physics, numerics, technical concepts, as well as exercises. The lecture content is outlined in its introduction using the following items for each type of content:
📚 Physics: equations, discretisation, implementation, solver, visualisation
💻 Code: technical, Julia, GitHub
The course will be taught in a hands-on fashion, putting emphasis on you writing code and completing exercises; lecturing will be kept at a minimum.
Exercise session follow the lectures; they will not be broadcasted (no online support will be provided during the exercise session).
Schedule to be defined (on Element/Zoom or in-person)
We plan to use the Element-chat (https://chat.ethz.ch/) as the main communication channel for the course, both between the teachers and the students, and hopefully also between students. We encourage ETH students to ask course, exercises and technical questions there.
Head to the Course chat space (Element) link on Moodle to get started with Element:
Select Start Student-Chat.
Login using your NETHZ credentials to start using the browser-based client.
Join the General and Helpdesk rooms (you may see an error upon accessing the rooms - refreshing the app should solve the issue).
Download the Element Desktop/Mobile client for more comfortable access.
Homework tasks will be announced after each week's lecture. The exercise session following the lecture will get you started.
Homework due date will be Wednesday 23h59 CET every following week (8 days) to allow for Q&A during the following in-class exercise session.
Homework assignments can be carried-out by groups of 2. However, note that every student has to hand in a personal version of the homework.
➡ Check out the Homework page for an overview on expected hand-in and deadlines.
Submission of notebooks (weeks 1 & 2), GitHub commit hash (or SHA) (week 3 and onwards) or other documents happens on the course's Moodle.
Actions and tasks related to GitHub will happen on your private course-related GitHub repository.
Starting from lecture 3 and onwards, the development of homework scripts happens on GitHub and you will have to submit the git commit hash (or SHA) on Moodle in the related git commit hash (SHA) submission activity.
Once you have your GitHub account ready (see lecture 2 how-to), create a private repository you will share with the teaching staff only to upload your weekly assignments (scripts):
Create a private GitHub repository named
<moodleprofilename> has to be replaced by your name as displayed on Moodle, lowercase, diacritics removed, spacing replaced with hyphens (-). For example, if your Moodle profile name is "Joël Désirée van der Linde" your repository should be named
MIT License and add a
Share this private repository on GitHub with the teaching-bot (https://github.com/teaching-bot).
For each homework submission, you will:
create a git branch named
homework-X (X ) and switch to that branch (
git switch -c homework-X);
create a new folder named
homework-X to put the exercise codes into;
(don't forget to
git add the code-files and
git commit them);
push to GitHub and open a pull request (PR) on the
main branch on GitHub;
copy the single git commit hash (or SHA) of the final push and the link to the PR and submit both on Moodle as the assignment hand-in (it will serve to control the material was pushed on time);
(do not merge the PR yet).
README.mdin the GitHub repo you share with the exercise bot in order to keep the syncing as lightweight as possible.
Manifest.tomlfile should be kept local. An automated way of doing so is to add it as entry to a
.gitignorefile in the root of your repo. Mac users may also add
.gitignore. Codes could be placed in a
scripts/folder. Output material to be displayed in the
README.mdcould be placed in a
After the submission deadline, we will correct and grade your assignments. You will get personal feedback directly on the PR as well as on Moodle. Once you got feedback, please merge the PR.
We will try to correct your assignments before the lecture following the homework's deadline. This should allow you to get rapid feedback in order to clarify the points you may struggle on as soon as possible.
Starting from lecture 7 (until lecture 9), homework contribute to the course's first project. The goal of this project is to have a multi-xPU thermal porous convection solver in 3D.
For information about topics for the final project, head to Information about final projects page.
Enrolled ETHZ students will have to hand in on Moodle (& GitHub):
5 (out of 6) weekly assignments (30% of the final grade) during the course's Part 1. Weekly coding exercises can be done alone or in groups of two.
A project during Part 2 (35% of the final grade). Projects submission includes codes in a git repository and an automatic generated documentation.
A final project during Part 3 (35% of the final grade). Final projects submission includes codes in a git repository and an automatic generated documentation.