HPC for numerical methods and data analysis

Grade Information:

Grade is based on two projects, one oral presentation and Q&A for the second project, and one quiz.

Questions: All questions concerning the projects and grading should be addressed to the Professor, during the lectures, in the forum, or directly by email.

First project on orthogonalization techniques. The project is to be completed individually. Grades will be assigned based on the report alone.

• Subject provided in week 3
• Weight for the grade: 0.3
• Deadline to submit the report: week 8, November 5, 2024, 11:59PM CEST

Second project on randomized Nystrom has weight 0.6 for the grade, subject provided in week 7. This project is to be done in groups of two. Grading is based on report and oral presentation.

• Subject provided in week 7
• Weight for the grade - report: 0.3
• Weight for the grade - oral exam: 0.3
• Oral exam (individual, 5 mins with 3 slides to present the project + 5 mins Q&A): during the January exam session
• Deadline to submit the report (one per group) + slides (individual): January 6, 2025, 11:59PM CEST

Quiz  questions are taken from the last lectures on Krylov subspace methods. 

• Weight for the grade: 0.1
• Quiz taken during week 14, morning of Tuesday 17th of December

Generative AI: usage of generative AI, Large Language Models as chatGPT, needs to be acknowledged in the report. Explain the usage, as improving the english and formulation, generating some code (specify which algorithms and if this concerns their initial version), debugging the code, generating figures (specify which figures), generating text (specify which parts).