chsharrison/Sci_comp_F24
Oct 2024 – Dec 2024
3 Months active
Languages Used
Jupyter NotebookMarkdownPython
Technical Skills
Data AnalysisData ScienceData VisualizationDifferential EquationsEcology ModelingFile Transfer
Cheryl Harrison
PROFILE
Cheryl Harrison
Chris Harrison developed and maintained the Sci_comp_F24 repository over three months, delivering a comprehensive suite of course materials and labs for data science and scientific computing education. He created Jupyter Notebooks and documentation covering topics such as time series analysis, machine learning, ecological modeling, and HPC workflows, leveraging Python, pandas, and scikit-learn. His work emphasized reproducibility and accessibility, with careful version control and structured file organization to streamline onboarding for instructors and students. By aligning materials with the academic calendar and consolidating final project resources, Chris improved course readiness and reduced support overhead, demonstrating depth in both technical and educational domains.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
27Total
Bugs
0
Commits
27
Features
10
Lines of code
3,338
Activity Months3
Your Network
9 people
Work History
December 2024
11 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for chsharrison/Sci_comp_F24 focused on delivering structured course materials and policy updates to support the Final Project lifecycle. Key features include Lab 15.1 F24 Jupyter Notebook with course materials and a deadline reminder requesting submissions by Sunday midnight, and a consolidated package of Final Project materials (checklists, student final reports, syllabus and related PDFs) to streamline course materials availability. No explicit bug fixes were logged in this period; the work prioritized feature delivery, documentation, and repository readiness for the upcoming term. The updates improve student experience, reduce support overhead, and enhance materials discoverability and accessibility across the course.
11 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for chsharrison/Sci_comp_F24 focused on delivering structured course materials and policy updates to support the Final Project lifecycle. Key features include Lab 15.1 F24 Jupyter Notebook with course materials and a deadline reminder requesting submissions by Sunday midnight, and a consolidated package of Final Project materials (checklists, student final reports, syllabus and related PDFs) to streamline course materials availability. No explicit bug fixes were logged in this period; the work prioritized feature delivery, documentation, and repository readiness for the upcoming term. The updates improve student experience, reduce support overhead, and enhance materials discoverability and accessibility across the course.
December 2024
November 2024
10 Commits • 7 Features
Nov 1, 2024November 2024: Delivered a comprehensive suite of Sci_comp_F24 labs and course materials, enabling end-to-end data science workflows and HPC practices. Key deliverables include Lab 11.1 Statistics Notebook, Lab 11.2 Linux Commands Lab (renamed to Lab11.2_F24_linux), Course Materials: Final Project guidance and Linux text viewing docs, Time Series Analysis Lab, Predator-Prey Modeling Lab, Machine Learning Labs (classification and Pandas-focused supervised learning), and Linux/HPC Lab 14.1_F24_linux. No critical bugs were reported; maintenance focused on naming consistency and documentation. Commit activity spanned new notebooks, file renames, and documentation updates, reflecting steady progress toward a production-ready course module.
November 2024
10 Commits • 7 Features
Nov 1, 2024November 2024: Delivered a comprehensive suite of Sci_comp_F24 labs and course materials, enabling end-to-end data science workflows and HPC practices. Key deliverables include Lab 11.1 Statistics Notebook, Lab 11.2 Linux Commands Lab (renamed to Lab11.2_F24_linux), Course Materials: Final Project guidance and Linux text viewing docs, Time Series Analysis Lab, Predator-Prey Modeling Lab, Machine Learning Labs (classification and Pandas-focused supervised learning), and Linux/HPC Lab 14.1_F24_linux. No critical bugs were reported; maintenance focused on naming consistency and documentation. Commit activity spanned new notebooks, file renames, and documentation updates, reflecting steady progress toward a production-ready course module.
October 2024
6 Commits • 1 Features
Oct 1, 2024October 2024: Delivered Fall 2024 course materials updates for the Sci_comp_F24 repository, ensuring up-to-date resources and readiness for the new term. Consolidated key documents, streamlined access for instructors and students, and established a clear historical record of resources for auditability and reuse.
6 Commits • 1 Features
Oct 1, 2024October 2024: Delivered Fall 2024 course materials updates for the Sci_comp_F24 repository, ensuring up-to-date resources and readiness for the new term. Consolidated key documents, streamlined access for instructors and students, and established a clear historical record of resources for auditability and reuse.
October 2024
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance90.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPython
Technical Skills
Course Material DevelopmentData AnalysisData ScienceData VisualizationDifferential EquationsDocumentationEcology ModelingFile TransferHPCHPC UsageJupyter NotebookLinux Command LineMachine LearningMatplotlibNumerical Methods
Repositories Contributed To
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