人工智慧概論 AA
Introduction to Artificial Intelligence
115-1 課程介紹 · Course Introduction | 國立東華大學 通識教育中心 National Dong Hwa University
GENERAL EDUCATION · COURSE INTRO
Introduction to Artificial Intelligence人工智慧概論
From sharper questions and real verification, to building a complete workflow with AI
Ask sharp questionsVerify to the sourceBuild something real
問得出來 · 查得到底 · 做得出東西
COURSE INFO
Course Information課程資訊
Section / Code
Section AA · GC__6753AA · ID 115133850
General-education core · 3 credits · 17-week termAA 班・校核心選修・3 學分・17 週新制
General-education core · 3 credits · 17-week termAA 班・校核心選修・3 學分・17 週新制
Time
Monday, periods 8–10 · 13:10–16:00 週一 第 8–10 節・13:10–16:00
Classroom
Science & Engineering Building II, Room E403理工二館 E403
Instructor
Prof. Wen-Sheng Chen · TA to be announced陳文盛・TA 開學前待補
Contact
Message me on Microsoft Teams · wschen@gms.ndhu.edu.tw用 Microsoft Teams 發訊息給我
Class Platforms
Roll call: Zuvio · Submit: Teams · Notes: HackMD點名 Zuvio・作業 Teams・共筆 HackMD
WHERE WE MEET
Where We Meet上課地點
Science & Engineering Building II · Room E403 AI Classroom
理工二館 E403・AI 教室
【Classroom floor plan — TBA before semester 教室平面圖・開學前補】
YOUR INSTRUCTOR
About Me — Wen-Sheng Chen關於我 陳文盛
Project Assistant Professor · General Education Center, NDHU專案助理教授・國立東華大學 通識教育中心
I'll help you put AI to work on real tasks—not just tool demos.我會帶你把 AI 用在真實任務，而不只看工具展示。
Email
wschen@gms.ndhu.edu.tw
Phone
03-890-6610
Office
Science & Engineering Building II, Room C306理工二館 C306
Contact
Microsoft Teams message用 Teams 發訊息
OFFICE
My Office研究室位置
Science & Engineering Building II, Room C306
理工二館 C306
【Office floor plan — TBA before semester 研究室平面圖・開學前補】
JOIN AT SLIDO.COM
Grab your phone—
let's meet you first拿出手機，先認識一下你
let's meet you first拿出手機，先認識一下你
Scan the QR to join slido.com · #TBA
Coming up: what AI feels like to you, your department, and which AI tools you've tried.
等等問你：你心中的 AI 像什麼、你來自哪個系、用過哪些 AI 工具
等等問你：你心中的 AI 像什麼、你來自哪個系、用過哪些 AI 工具
QR TBA
WHAT YOU'LL LEARN
What you'll learn: three parts這門課在學什麼：三部曲
At the core: AI literacy—we don't start from coding, so non-CS students keep up.核心是 AI 素養（AI literacy）——不從寫程式開始，非資訊背景也跟得上
PART 1
AI everyone can use人人會用的 AI
Ask good questions, break tasks down, verify answers; run one full cycle on Teachable Machine—data → label → train → test → improve.問對問題、拆解任務、查證答案；用 Teachable Machine 走一次「資料→標記→訓練→測試→改進」。
PART 2
Task AI tools & agents任務型 AI 工具與 Agent
AI search & research, AI slide-making, music and media generation, and emerging agentic tools.AI 搜尋研究、AI 簡報、音樂與多媒體生成、新興 agentic 工具。
PART 3
Desktop AI & pro workflows桌面 AI 與專業工作流
AI on local files, less copy-paste; command-line automation that non-CS folks can pick up too.AI 處理本機資料、減少重複貼上；非資訊背景也能上手的 command-line 自動化。
COURSE DESTINATION
Where this course leads:
build your own AI workflow這門課的終點：做出你的 AI 工作流
build your own AI workflow這門課的終點：做出你的 AI 工作流
Not memorizing tool names—turning a real problem into work you can explain, verify, and show.
不是背工具名稱，而是把一個真實問題，變成能說明、能查證、能展示的作品。
不是背工具名稱，而是把一個真實問題，變成能說明、能查證、能展示的作品。
01Ask a real question提出真實問題
→
02Verify & break down查證與拆解
→
03Ship a showable piece做出可展示作品
17-WEEK ROADMAP
17-Week Roadmap17 週課程地圖
W1
Intro · Responsible AI課程介紹·負責任 AI
W2–3
Web AI: ask & planWeb AI 提問與規劃
W4–5
Teachable Machine I–IITeachable Machine（一）（二）
W6
AI search & researchAI 搜尋研究
W7
AI slides (Gamma)AI 簡報（Gamma）
W8
AI media (Suno)AI 創作媒體（Suno）
W9
Midterm · Part 1期中考·範圍 Part 1
PART 1 · AI EVERYONE CAN USE (W1–5)
PART 2 · TASK AI & AGENTS (W6–10)
W10
Task AI & agents任務型 AI 與 Agent
W11–12
Desktop AI · local data桌面 AI·本機資料
W13–14
Command-line AIcommand-line AI
W15
Workflow projectAI 工作流整合專題
W16
Final workshop期末專題工作坊
W17
Final showcase期末專題發表
P2
PART 3 · DESKTOP AI & PRO WORKFLOWS (W11–17)
●=weekly topic ●=midterm/final milestone · bands=the three parts ｜ 每週主題・里程碑・三部曲分段
GRADING
How grades work成績怎麼算
10%
Participation平時成績
including attendance
20%
Assignments作業成績
30%
Midterm期中考
covers Part 1
40%
Final期末
AI workflow project
Final = an AI workflow project: combine at least two kinds of AI tools, and explain your process, verification, and reflection. The final isn't a tool-name quiz—it's showing how you solve a task with AI.
期末＝AI 工作流專題：至少整合兩類 AI 工具，說明過程、查證與反思。期末不是考工具名稱，是展示你怎麼用 AI 解決任務。
期末＝AI 工作流專題：至少整合兩類 AI 工具，說明過程、查證與反思。期末不是考工具名稱，是展示你怎麼用 AI 解決任務。
GETTING HELP
Stuck? Here's how to reach me卡關了，怎麼找我
Microsoft Teams
Just message me直接發訊息給我
Email
wschen@gms.ndhu.edu.tw
On Slido you can ask without raising your hand. 上 Slido，問問題不用舉手。
JOIN ON TEAMS
Join the course on Teams加入 Teams 課程
- Use your school Office 365 account (activate NDHU Office 365 first)用學校 Office 365 帳號（先啟用國立東華大學 Office 365）
- Install the Teams desktop app (recommended)建議安裝 Teams 桌面版
- Team code: TBA團隊代碼：開學前待補
OUR PLATFORMS
Tools we use online這門課的網路工具
Roll call
Zuvio課堂點名
Turn in work
Microsoft Teams交作業
Shared notes
HackMD課堂共筆
TOOLS WE'LL TRY
Tools you'll use hands-on課堂會親手用到的工具
Understand AI理解 AI
Teachable Machinegrasp AI training, no coding
Research查資料
Perplexity · FeloAI-driven search & research
Make content做內容
GammaAI slides & fast layout
SunoAI music & media
Tasks & automation任務型與自動化
Manus & agentsautonomous task agents
Claude Desktoplocal data & automation
Codex · Antigravityworkflow automation
command-line AIbatch processing
Roll callZuvio
Turn inTeams
NotesHackMD
Tools change, skills don't. We'll use the best equivalent that week. 工具會換、能力不換。
FOR DAILY USE
Everyday AI tools日常 AI 工具推薦
Chatbots
ChatGPT·Claude·Gemini·Grok聊天機器人
AI search
Perplexity·FeloAI 搜尋
AI notebook
NotebookLMAI 筆記本
AI playground
Google AI StudioAI 實驗場
Week 1, just pick one that fits you—no need to install them all. 第一週先挑一個順手的就好。
WHAT TO BRING
What to bring上課要帶什麼
- A laptop or tablet (laptop recommended)筆電或平板（建議筆電）
- Some tools need a free account部分工具需註冊免費帳號
- Room E403—seats near outlets go first-come教室 理工二館 E403——有插座的位子先到先選
HOW WE USE AI
How we use AI in this course這門課的 AI 使用守則
You may learn and create with AI—but you must:可以用 AI 學習與創作，但你要——
01
Explain your own process能解釋自己的過程
Be able to say how you asked, how you revised, and why you decided that way.說得出你怎麼問、怎麼改、為什麼這樣決定。
02
Verify what AI gives you會查證 AI 的輸出
AI gets things wrong and makes things up; check before you hand it in.AI 會錯也會編；交出去前你要查過。
03
Keep academic integrity守學術誠信
Honor integrity, privacy, and copyright.遵守誠信、隱私與著作權。
BACK TO SLIDO
Last thing—
tell me what you hope for最後，聊聊你的期待
tell me what you hope for最後，聊聊你的期待
Scan slido.com once more · #TBA
Why you're taking this, what you most want AI to help you do, and one word for your hopes.
修課動機、你最想用 AI 幫你完成什麼事、一個詞形容你的期待
修課動機、你最想用 AI 幫你完成什麼事、一個詞形容你的期待
QR TBA
SEE YOU NEXT WEEK
Welcome to
Introduction to AI歡迎來到人工智慧概論
Introduction to AI歡迎來到人工智慧概論
Next week: Web AI—how to ask questions and plan a task.
下週預告：Web AI——怎麼問問題、怎麼規劃任務
下週預告：Web AI——怎麼問問題、怎麼規劃任務
Your small task: bring one problem you'd like to solve with AI.下週的小任務：帶一個你想用 AI 解決的問題來
Course site: cwstedctw.github.io/ndhu-ted-course-hub/courses/11501-ai-intro-aa/ 課程網站