本次競賽獎品

ASUS ExpertBook P5 (P5405CSA)筆電1台、ASUS ExpertBook B3 (B3405CCA)筆電1台與搭載15.6吋大螢幕ASUS ExpertBook B1 (B1503CVA) 筆電1台

參賽規則與評分辦法

Competition Rules & Evaluation Criteria

一、參賽資格

1. 限中原大學應屆畢業、在校學生與2025年中原大學國際專題設計實務暑期營隊學員報名參加。
2. 每隊限由 1至4人組隊參賽，可跨系或跨年級組成團隊。
3. 參賽隊伍必須使用 Intel OpenVINO™ Toolkit 為核心開發平台，並於作品中具體呈現AI應用之實作成果。

1.  Eligibility

1. Open only to currently enrolled and graduating students of Chung Yuan Christian University and participants of the 2025 CYCU International Summer Project Design Camp.
2. Each team must consist of 1 to 4 members, and cross-department or cross-year collaboration is allowed.
3. All projects must use Intel’s OpenVINO™ Toolkit as the core framework and demonstrate a practical application of AI technology.

二、競賽時程

• 報名網址: https://eeweb.cycu.edu.tw/
• 報名表 :  請點此
• 報名時間: 即日起至2025年8月8日（五）23:59 止
• 初賽期間：2025年8月1日（五）至 2025年8月18日（一）
• 決賽時間與地點：預定於 2025年8月20日（三）於中原大學舉行現場簡報決選，詳情另行公告。

2. Competition Schedule

• Registration Website:https://eeweb.cycu.edu.tw/
• Registration Form: Click here
• Registration Period: From now until Friday, August 8, 2025, at 11:59 PM.
• Preliminary Round: August 1 (Fri) to August 18 (Mon), 2025
• Final Round: Tentatively scheduled for August 20 (Wedn), 2025, to be held on-site at Chung Yuan Christian University. Further details will be announced.

三、初賽書面審查機制

參賽隊伍需於 2025年8月18日(23:59) 前繳交書面報告，內容須包含專題背景、開發目標、使用技術、成果展示及技術說明。由專業評審委員依下列標準評分：

評分項目	比重
創新與創意	30%
成果完成度	30%
報告完整性與邏輯性	40%

經書面審查後，將選出隊伍晉級決賽簡報評選階段。

3. Preliminary Evaluation (Written Report Review)

Participating teams must submit a written project report by the specified deadline (2025.08.18 23:59), including project background, objectives, technical methods, results, and implementation details. A panel of expert judges will evaluate submissions based on the following criteria:

Evaluation Criteria	Weight
Innovation and Creativity	30%
Level of Completion	30%
Report Clarity and Completeness	40%

Teams will be selected to advance to the final presentation round based on the written evaluation.

四、決賽簡報評分標準

入選隊伍需於決賽當天進行現場簡報與展示作品實作成果，評分標準如下：評審將綜合各項表現進行排名，選出特優前三名、優等三名、佳作三名與最佳創意一名，並頒發獎品。

評分項目	比重
簡報流暢度與表達能力	20%
團隊合作表現	10%
作品實用性	10%
技術應用與作品完整性	30%
創新與創意	30%

4. Final Round Evaluation (Live Presentation)

Finalists must deliver an oral presentation and demonstrate their project on-site during the final round. Evaluation will be based on the following criteria:

Evaluation Criteria	Weight
Presentation Fluency and Clarity	20%
Team Collaboration	10%
Practicality of the Project	10%
Technical Depth and Completeness	30%
Innovation and Creativity	30%

Based on a comprehensive evaluation of each team’s performance, the judging panel will award the Top 3 Excellence Awards, 3 Merit Awards, and 3 Honorable Mentions. One team will also be selected for the Best Creativity Award.

五、注意事項

1. 參賽者須確保作品原創性，並遵守智慧財產權相關規定。
2. 每隊限提交一份作品報告，並指定一名代表統一聯繫。
3. 主辦單位保有調整競賽內容、評分機制與獎勵方式之權利，若有未盡事宜，將另行公告。

5. Notes

1. Participants must ensure originality of their work and comply with all relevant intellectual property laws.
2. Each team may only submit one report, and must designate one team leader as the point of contact.
3. The organizer reserves the right to amend the competition content, evaluation criteria, and awards. Any changes will be publicly announced.

六、參考資源

1. Introduction of Intel AIPC

1. • AI PC Development Tools
2. OpenVINO Samples (Github)
   • Open-source software toolkit for optimizing and deploying deep learning models.
3. Usage and Case Study-Samples (Github)
   • Edge AI Reference Kits for OpenVINO™ Toolkit
   • Build and Deploy AI Solutions with the OpenVINO™ Toolkit

6. Design Resources

1. Introduction of Intel AIPC

1. • AI PC Development Tools
2. OpenVINO Samples (Github)
   • Open-source software toolkit for optimizing and deploying deep learning models.
3. Usage and Case Study-Samples (Github)
   • Edge AI Reference Kits for OpenVINO™ Toolkit
   • Build and Deploy AI Solutions with the OpenVINO™ Toolkit

七、OpenVINO™ 教學課程

第一部分：第1天（8月4日 下午2點至5點）

• 理解AI模型部署的挑戰

• 討論OpenVINO™ 開發者之旅

• 開始使用AI PC開發套件與AI PC雲端

• 程式教學 – 你好NPU, YoloV11, LLM聊天機器人

• 實作與實驗

第二部分：第2天（8月11日 下午2點至5點）

• GenAI 討論與使用案例

• OpenVINO™ GenAI

• 程式教學 – 潛在一致性模型，LLM RAG

• 實作與實驗

• Gen AI 展示

7.  OpenVINO™  Tutorial

Section 1: Day 1 ( Aug4: 2pm ~ 5pm)

• Understand the Challenge of AI Model Deployment

• Discuss the OpenVINO™ developer journey

• Get Started with the AI PC Dev Kit & AI PC Cloud

• Code Tutorial – Hello NPU, YoloV11, LLM Chatbot

• Hands ON and Lab

Section 2: Day2 ( Aug11: 2pm ~ 5pm)

• GenAI Discussion and Use Cases

• OpenVINO™ GenAI

• 程式教學 – Code Tutorial – Latent Consistency Model, LLM RAG

• Hands ON and Lab

• Show case with Gen AI