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haogg

PROFILE

Haogg

Contributed to the Colorado-State-University-CMB/CM515-course-2025 repository by developing and enhancing course materials focused on command line and R programming concepts. Delivered new Jupyter notebooks and R Markdown lessons covering file management, control flow, loops, and vectorization, with practical exercises and annotated data to support hands-on learning. Improved instructional clarity by expanding exercise data, refining documentation, and correcting gene annotation references. Applied skills in Bash, R, and shell scripting to integrate data and streamline educational content. Addressed formatting and readability issues to ensure accessible materials, supporting faster onboarding and more effective self-guided learning for students in bioinformatics and data analysis.

Overall Statistics

Feature vs Bugs

60%Features

Repository Contributions

8Total
Bugs
2
Commits
8
Features
3
Lines of code
32,210
Activity Months2

Work History

April 2025

3 Commits • 2 Features

Apr 1, 2025

April 2025 monthly summary for Colorado-State-University-CMB/CM515-course-2025 focusing on delivered content, fixes, and impact.

March 2025

5 Commits • 1 Features

Mar 1, 2025

March 2025 — CM515 course enhancements and quality fixes for Colorado-State-University-CMB/CM515-course-2025. Key features delivered include Command Line Lesson Content and Data Enhancements: expanded exercise data, clarified usage instructions for the shell-lesson-data directory, added new Jupyter notebooks covering file and directory operations and pipes/filters, and provided answers/corrections to exercises. Commits included: c2cb2ca2f0a821d5ce8cee6ae3163d25ee2d72dd; 649960ef14b7f7f06ce2836d8b838ac07ed11916; a17d96e999860f7fa45612cf67dcfca94a601a7c; 48bcd6faaede3f9c0f623304cbe530c8bf2f82a2. Additionally, a gene annotation line-number fix in the notebook was completed to ensure instructional accuracy (commit: 0b1e7772b25b771578daeb9a2c8b416f778406b9). Minor updates to Thursday lesson content were also implemented. These changes improve learner experience, instruction clarity, and course completeness, supporting faster onboarding and better outcomes for CM515.

Activity

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Quality Metrics

Correctness91.2%
Maintainability90.0%
Architecture87.4%
Performance87.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

BashCSVDATJSONJupyter NotebookMarkdownPDBRR MarkdownShell

Technical Skills

BioinformaticsCommand Line InterfaceCommand Line Interface (CLI)Conditional StatementsConditional statementsControl flowData AnalysisData AnnotationData EngineeringData IntegrationData ManipulationData analysisDocumentationEducational Content CreationFile Management

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Colorado-State-University-CMB/CM515-course-2025

Mar 2025 Apr 2025
2 Months active

Languages Used

BashCSVDATJSONJupyter NotebookMarkdownPDBShell

Technical Skills

Command Line InterfaceCommand Line Interface (CLI)Data AnnotationData EngineeringData IntegrationData Manipulation