Skip to content

Latest commit

 

History

History
37 lines (28 loc) · 1.71 KB

File metadata and controls

37 lines (28 loc) · 1.71 KB

Exam rules

Development Tools for Scientific Computing 2024/2025

Instructor

Dr. Pasquale Claudio Africa <pafrica@sissa.it>

Assistant

Dr. Dario Coscia <dcoscia@sissa.it>

Programs

  • (Ph.D.) Theoretical and Scientific Data Science @ SISSA.
  • (Ph.D.) Mathematical Analysis, Modelling, and Applications @ SISSA.

Final project

  • The final exam consists of a project to be chosen from this list.
  • For projects marked as complex, students may work in groups of up to 2 people.
  • The code should expose unit tests to ensure correctness.
  • Throughout the project, students must work with git (using the same structure as seen during the practical sessions) and store their code on their devtools_scicomp_project_2025 GitHub repository (branch main).
  • The maximum score for the final project is 25.
  • Bonus: Implementing CI/CD pipelines, showcasing results of profiling, optimization, using parallel computing techniques, or running on computational clusters may contribute additional points.

Practical sessions

  • Completing exercises from the practical sessions contributes up to 5 additional points to the final grade.

The maximum achievable grade for the exam is 30. Honors may be granted in exceptional cases.


Deliverables

  1. The GitHub repository must include a README.md file reporting the project chosen, the design choices, the techniques used, and the results obtained.
  2. Upon completion, students must send an email to both the instructor and the assistant, including:
    • Their full name;
    • The course they are enrolled in;
    • The link to their GitHub repository.
  3. Bonus: Documenting the package may contribute additional points.