UTDallasEPICS/Teambuilder
Oct 2024 – Dec 2024
3 Months active
Languages Used
TypeScriptCSVJavaScript
Technical Skills
Algorithm DevelopmentData StructuresTypeScriptAlgorithm DesignAlgorithm ImplementationAlgorithm Optimization
cooper brice
PROFILE
Cooper Brice
Contributed to the UTDallasEPICS/Teambuilder repository by designing and implementing core algorithms for automated team formation and project assignment in large academic cohorts. Focused on fairness and scalability, the work included developing a new team generation algorithm in TypeScript, optimizing assignment logic, and ensuring balanced distributions even in edge cases. Enhanced maintainability by refactoring legacy code, consolidating algorithm history, and expanding documentation for future extensibility. Addressed data integrity through unique identifiers and improved test coverage with unit tests and CSV-based fixtures. The approach emphasized code clarity, robust data structures, and reduced manual intervention, supporting reliable, scalable team assignments for diverse student groups.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
19Total
Bugs
1
Commits
19
Features
3
Lines of code
17,260
Activity Months3
Your Network
22 peopleShared Repositories
22
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Alex QuigleyMember
Ammar MohammedMember
AndrewN20Member
Bao NguyenMember
Bhuvi ThiriveedhiMember
Daisy NguyenMember
Drew LaytonMember
HaticeMember
Work History
December 2024
4 Commits • 1 Features
Dec 1, 2024December 2024: Delivered maintainability enhancements for Teambuilder's algorithm history handling by consolidating legacy cleanup, removing obsolete history history file, refactoring for readability, and expanding documentation. This feature-focused effort reduces future maintenance costs, minimizes developer confusion, and accelerates future enhancements. Key commits include 460384ae50db58e30bf83569c23ea87e2f1a7174, b4c198895a72707ca84e49d97bd2861629854aa4, 74178928725b220a2476123f7e66121c29f142a9, and 577316f1b5bdf79f21d6bd19bb8e845798b75b33.
4 Commits • 1 Features
Dec 1, 2024December 2024: Delivered maintainability enhancements for Teambuilder's algorithm history handling by consolidating legacy cleanup, removing obsolete history history file, refactoring for readability, and expanding documentation. This feature-focused effort reduces future maintenance costs, minimizes developer confusion, and accelerates future enhancements. Key commits include 460384ae50db58e30bf83569c23ea87e2f1a7174, b4c198895a72707ca84e49d97bd2861629854aa4, 74178928725b220a2476123f7e66121c29f142a9, and 577316f1b5bdf79f21d6bd19bb8e845798b75b33.
December 2024
November 2024
14 Commits • 2 Features
Nov 1, 2024November 2024 — Teambuilder monthly summary. Delivered a robust Team Generation Algorithm and accompanying tests to improve fairness, reliability, and scalability for large cohorts. Key features delivered: 1) New Team Generation Algorithm and Balancing with minimum team sizes, balanced distributions, handling of students with no preferences, and correct project/senior placement. Notable changes include added null option to grouping by class, scenario for no choices, and refactors such as turning score calculations into functions and variable renaming for clarity. Representative commits include fb255dfc8225b1086ded837444453a656ff2745e, eff3dadd3afca16008d2117762c4ee753760f33c, 6bd38f22ec98a1da6bd2e3cb0f2c91a174d72371, 92b2c43c3272f456eb1016eba6577d31f12f31ca, 8438b91f72b48fbc890cb632f69b1e52d8ca1304. 2) Tests and Test Data for Team Generation Algorithm: added test5.ts and related CSV fixtures to validate behavior (89ba50abd8c7e9a6b28d3dca4c4282857b271d36, 56b3c83a58960e70713083305a2f8ca07f8b3323, f0aa1b9280f161465f3c2b271aaaa79b46ab27a9). Major bugs fixed: Fixed balanceTeams to ensure each team receives the minimum number of students, improving correctness in edge cases. The work also includes removal of stale comments and code cleanup to simplify future maintenance. Overall impact: improved fairness, predictability, and scalability of team assignments; reduced manual intervention and better alignment with student preferences and senior/project placement. Technologies/skills demonstrated: TypeScript/Node, test-driven development, unit testing with test data fixtures, refactoring for clarity and maintainability. Business value: consistent team sizes, reliable project allocation, and a foundation for scaling to larger cohorts.
November 2024
14 Commits • 2 Features
Nov 1, 2024November 2024 — Teambuilder monthly summary. Delivered a robust Team Generation Algorithm and accompanying tests to improve fairness, reliability, and scalability for large cohorts. Key features delivered: 1) New Team Generation Algorithm and Balancing with minimum team sizes, balanced distributions, handling of students with no preferences, and correct project/senior placement. Notable changes include added null option to grouping by class, scenario for no choices, and refactors such as turning score calculations into functions and variable renaming for clarity. Representative commits include fb255dfc8225b1086ded837444453a656ff2745e, eff3dadd3afca16008d2117762c4ee753760f33c, 6bd38f22ec98a1da6bd2e3cb0f2c91a174d72371, 92b2c43c3272f456eb1016eba6577d31f12f31ca, 8438b91f72b48fbc890cb632f69b1e52d8ca1304. 2) Tests and Test Data for Team Generation Algorithm: added test5.ts and related CSV fixtures to validate behavior (89ba50abd8c7e9a6b28d3dca4c4282857b271d36, 56b3c83a58960e70713083305a2f8ca07f8b3323, f0aa1b9280f161465f3c2b271aaaa79b46ab27a9). Major bugs fixed: Fixed balanceTeams to ensure each team receives the minimum number of students, improving correctness in edge cases. The work also includes removal of stale comments and code cleanup to simplify future maintenance. Overall impact: improved fairness, predictability, and scalability of team assignments; reduced manual intervention and better alignment with student preferences and senior/project placement. Technologies/skills demonstrated: TypeScript/Node, test-driven development, unit testing with test data fixtures, refactoring for clarity and maintainability. Business value: consistent team sizes, reliable project allocation, and a foundation for scaling to larger cohorts.
October 2024
1 Commits
Oct 1, 2024Month 2024-10 monthly summary focusing on key features delivered, major bugs fixed, impact, and technologies demonstrated in the UT Dallas EPICS Teambuilder repository. The principal deliverable this month was resolving the Balanced Assignment Distribution for Class 3200 bug, complemented by data-model and core logic improvements to support scalable, fair project assignments for large classes.
1 Commits
Oct 1, 2024Month 2024-10 monthly summary focusing on key features delivered, major bugs fixed, impact, and technologies demonstrated in the UT Dallas EPICS Teambuilder repository. The principal deliverable this month was resolving the Balanced Assignment Distribution for Class 3200 bug, complemented by data-model and core logic improvements to support scalable, fair project assignments for large classes.
October 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability91.0%
Architecture87.4%
Performance82.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVJavaScriptTypeScript
Technical Skills
Algorithm DesignAlgorithm DevelopmentAlgorithm ImplementationAlgorithm OptimizationCode ArchivingCode CleanupCode CommentingCode DocumentationCode RefactoringData ParsingData StructuresDocumentationSoftware EngineeringSoftware RefactoringTeam Balancing
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