Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Fall Semester
Year 2026 361175 Edge Computing 1 3.0 3 ★ Chien-Hung Lai 4EN4A
4EN4B 34 0 電子四甲乙合開

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	361175	Edge Computing	1	3.0	3	★	Chien-Hung Lai	4EN4A 4EN4B	34	0	電子四甲乙合開

Course Plan：

Instructor Chien-Hung Lai　Office Hours

Email ee12245@ntut.edu.tw

Last Updated 2026-06-09 13:52:33

Course Objective 本課程將從基礎深度學習理論、邊緣智慧硬體應用、資料集建置、客製化模型訓練到推論環境佈署，讓學員透過Google Colab, Intel OpenVINO, OpenCV等開源工具，學習如何規畫及實踐不同類型的低功耗、低延時、低成本及高隱私的邊緣智慧應用專案。

Course Schedule This course will cover basic deep learning theory, edge smart hardware application, data set construction, customized model training, and inference environment deployment. Allowing students to learn how to plan and practice types of edge smart application with low power consumption, low latency, low cost, and high privacy features.

Evaluation and grading policy Midterm 繳交作品企劃 50%，期末繳交完整作品以及運作的錄影和完整設計 50%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
自編教材有簡報檔案以及範例

The access to curricular consultation 到時全班開個群組

Expanding teaching and resources ● 數位科技融入 (Digital Technology Integration)
運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。
Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment.

The course corresponds to the SDGs SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

Does the course incorporate AI ● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
● 使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction）
● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）

Note
別搞事情，期中期末按時繳交得出來，我就不擋

Instructor	Chien-Hung Lai　Office Hours
Email	ee12245@ntut.edu.tw
Last Updated	2026-06-09 13:52:33
Course Objective	本課程將從基礎深度學習理論、邊緣智慧硬體應用、資料集建置、客製化模型訓練到推論環境佈署，讓學員透過Google Colab, Intel OpenVINO, OpenCV等開源工具，學習如何規畫及實踐不同類型的低功耗、低延時、低成本及高隱私的邊緣智慧應用專案。
Course Schedule	This course will cover basic deep learning theory, edge smart hardware application, data set construction, customized model training, and inference environment deployment. Allowing students to learn how to plan and practice types of edge smart application with low power consumption, low latency, low cost, and high privacy features.
Evaluation and grading policy	Midterm 繳交作品企劃 50%，期末繳交完整作品以及運作的錄影和完整設計 50%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 自編教材有簡報檔案以及範例
The access to curricular consultation	到時全班開個群組
Expanding teaching and resources	● 數位科技融入 (Digital Technology Integration) 運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。 Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment.
The course corresponds to the SDGs	SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
Does the course incorporate AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI） ● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）
Note	別搞事情，期中期末按時繳交得出來，我就不擋