
Jihye worked on the UngSangYoon/Algorithm_Study_FISA repository, developing a Python-based dice prize calculator script that automates prize computation for three dice scenarios: all identical, a pair, and all different. She focused on robust input validation and error handling, ensuring the script reliably processes user input and flags invalid cases. By enhancing the script’s output with additional debugging instrumentation, Jihye improved the validation and troubleshooting process for future users. Her work emphasized algorithmic problem solving and scripting, resulting in reusable logic that reduces manual calculation errors and accelerates scenario evaluation. The project demonstrated solid depth in workflow automation and reliability.

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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