Course Syllabus

Course Information:
Year-SemesterCourse NumberCourse NamePhaseCreditsHoursRequired/Elective InstructorClassStudent NO.WithdrawNote
Fall Semester
Year 2026
361579 Microprocessor Lab. 1 1.0 3 Shih-Gang Chen 4EE3C 20 0 預選限20人,5選4實習

Course Plan:

Instructor Shih-Gang Chen Office Hours
Email chensg@ntut.edu.tw Email
Last Updated2026-07-22 22:16:58
Course Objective
Course Schedule
Evaluation and grading policy
Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
The access to curricular consultation1. Please contact me via email (chensg@mail.ntut.edu.tw)
2. 316 Lab. TA
3. 加入Line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 SDGsSDG1:消除貧窮(No Poverty)
SDG4:優質教育(Quality Education)
SDG7:可負擔的潔淨能源(Affordable and Clean Energy)
SDG8:尊嚴就業與經濟發展(Decent Work and Economic Growth)
SDG9:產業創新與基礎設施(Industry, Innovation and Infrastructure)
Does the course incorporate AI● 鼓勵學生使用生成式AI工具(Encourage students to use generative AI tools)
Note
修課同學請務必加入Line群組
彈性學習/Flexible Learning
教師需於「課程進度」填寫 1 至 16 週課程內容,並於下列欄位填寫 17 至 18 週彈性學習內容。

一、類別 (可複選)
學生分組及討論

二、內容
(1)第 17 週:為開放實驗室。
(2)第 18 週:為開放實驗室。

三、時數: 總共 6 小時。

四、學習成果: 課程結束前各組須繳交第 17 ~18週之期末簡報檔,作為評量依據。

五、評量比例
書面簡報:20%