TUDelft-MUDE/book
Nov 2024 – Nov 2024
1 Month active
Languages Used
Jupyter NotebookMarkdown
Technical Skills
Computational Fluid DynamicsFinite Volume MethodNumerical MethodsScientific ComputingTechnical Writing
Jaime Arriaga Garcia
PROFILE
Jaime Arriaga Garcia
During November 2024, Juan Arriaga Garcia enhanced the TUDelft-MUDE/book repository by refining educational content on the Finite Volume Method, focusing on mathematical accuracy and clarity. He addressed issues in upwind and downwind scheme representations, refactored notation, and clarified stability analysis for the Method of Lines and advection amplification. Working primarily in Jupyter Notebook and Markdown, Juan applied his expertise in computational fluid dynamics and scientific computing to ensure the material was both rigorous and accessible. His contributions improved the reliability of the teaching resource, supporting instructors and learners with clearer explanations and consistent, up-to-date technical documentation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
112
Activity Months1
Your Network
68 people
Work History
November 2024
3 Commits • 1 Features
Nov 1, 2024November 2024 — TUDelft-MUDE/book: Focused on refining Finite Volume Method (FVM) educational content and stability analysis. Delivered improvements across the FVM chapter, with corrected upwind/downwind representations, refactored notation, and clarified stability analysis (Method of Lines and advection amplification). Fixed three content-related issues across commits to ensure mathematical accuracy and consistent explanations. Result: clearer, more reliable teaching material that enhances learning outcomes and supports instructors in delivering accurate, up-to-date material. Technologies demonstrated include numerical analysis concepts, LaTeX/notation discipline, documentation/refactoring, and rigorous commit hygiene.
3 Commits • 1 Features
Nov 1, 2024November 2024 — TUDelft-MUDE/book: Focused on refining Finite Volume Method (FVM) educational content and stability analysis. Delivered improvements across the FVM chapter, with corrected upwind/downwind representations, refactored notation, and clarified stability analysis (Method of Lines and advection amplification). Fixed three content-related issues across commits to ensure mathematical accuracy and consistent explanations. Result: clearer, more reliable teaching material that enhances learning outcomes and supports instructors in delivering accurate, up-to-date material. Technologies demonstrated include numerical analysis concepts, LaTeX/notation discipline, documentation/refactoring, and rigorous commit hygiene.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability86.6%
Architecture86.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdown
Technical Skills
Computational Fluid DynamicsFinite Volume MethodNumerical MethodsScientific ComputingTechnical Writing
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