
Developed and delivered a core dice prize calculation workflow for the UngSangYoon/Algorithm_Study_FISA repository, focusing on automating prize computations for three dice scenarios: all identical, a pair, and all different. The solution was implemented in Python, leveraging algorithmic problem solving and scripting skills to ensure robust input validation and error handling. Output enhancements were added to facilitate debugging and validation, reducing manual calculation errors and streamlining scenario evaluation. The reusable logic created in this script supports future simulation needs and improves calculation reliability. No bugs were reported or fixed during this period, reflecting a focused and stable delivery approach.
January 2025 monthly performance and delivery: Implemented core dice-prize calculation workflow and output improvements in UngSangYoon/Algorithm_Study_FISA. The work delivers reliable prize computations for three dice scenarios (all identical, a pair, all different) with input validation and error handling, plus minor output instrumentation to facilitate validation and debugging. These updates reduce manual calculation errors, accelerate scenario evaluation, and create reusable logic for future simulations.
January 2025 monthly performance and delivery: Implemented core dice-prize calculation workflow and output improvements in UngSangYoon/Algorithm_Study_FISA. The work delivers reliable prize computations for three dice scenarios (all identical, a pair, all different) with input validation and error handling, plus minor output instrumentation to facilitate validation and debugging. These updates reduce manual calculation errors, accelerate scenario evaluation, and create reusable logic for future simulations.

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