PHYS-E0550 - Project in Machine Learning for Materials Science D, Lecture, 25.10.2022-29.11.2022
This course space end date is set to 29.11.2022 Search Courses: PHYS-E0550
Topic outline
-
Project work spans approximately 5 weeks. It is up to the groups to set up meetings and organise their project work. Three project-related presentations are scheduled to showcase project progress for each group.
Before the check-point presentations start, please fill in the Project Team Management form. Also, at each project check-point, you will be filling in a peer-review rubric, to help you evaluate and comment on machine-learning applications in materials science.
Project work kick-off presentation (1 November)
Each group will give a 10 min slide presentation followed by 5min of question time. It is desirable that all group members present during the course. You can divide the presentations between team members (e.g. 2 for kick-off, 2 for midterm and all members for the final presentation or any reasonable combination).The presentation should include:- title slide: presentation and group name, group members, course name and date
- introduction: brief description of the materials science question to be solved, project objectives, background of similar ML applications (if applicable).
- methodology: introduction to the dataset and brief outline of which machine learning method(s) you plan to apply
- implementation: work plan, distribution of work and timeline.
Project mid-point presentation (15 November)
Each group will give a 10 min slide presentation followed by 5min of question time. Please indicate which group members worked on which part of the project work. The presentation should include:
- title slide: presentation and group name, group members, course name and date
- brief introduction and timeline of your project: how far have you progressed with your work?
- data analysis: What data analysis have you performed? What does your data look like?
- preliminary tests: What machine learning have you done already?
- next steps: Based on your data analysis and preliminary tests, how will you continue your project?
- All references should be fully cited and/or linked to the resource.
Project final presentation (29 November)
Each group will give a 10 min slide presentation followed by 5min question and discussion time. Please indicate which group members worked on which part of the project work. The presentation should include:
- title slide: presentation and group name, group members, course name and date
- brief recap your project objectives: what did you set out to do?
- machine learning update: what machine learning methods did you apply since the mid-point check-point? How did you evaluate performance and how did they perform?
- final results and conclusions: did you answer the research question? What could be done in future work?
- all references should be fully cited and/or linked to the resource.
- title slide: presentation and group name, group members, course name and date