Mandarin: 這門課是台大資工系所 & 台大智慧醫療 & 健康資訊學程 (https://smartmhi.ntu.edu.tw/faculty/1) 之課程. 課程時間=每週六上午, 9/17-12/24. 地點=台大醫學院階梯教室, 徐州路2-1號. 由於修課同學有電資背景, or 醫學背景, 甚至社會, 管理背景, 認真的醫生建議我每週六4小時, 以便深入淺出, 但我建議學生自行選擇即可, 著重 DATA. (真正的區塊鏈OK; 沒 DATA 的蚊子區塊鏈不OK。)

English: This course is an NTU computer science & smart MHI course (https://smartmhi.ntu.edu.tw/faculty/1). It's every Saturday morning, 9/17-12/24. Students come from diverse background, with a common focus on DATA.

課程教師:
Dr. Liao specialized in Big Data Systems while working at Google and Stanford. He retired from Google 8 years ago and returned to Taiwan to teach 2B: Big data & Blockchain. The latter is as known as the real FinTech that satisfies the "跨領域, 做中學, 玩真的金融科技" request from NTU students. His passionate teaching and research have inspired many NTU students to innovate or start up. Such 創新 or 創業 students were interviewed by 天下雜誌 in https://www.cw.com.tw/article/5120325, and he was dubbed as "千億教父" who teaches "台大CP值最高的課." Disclaimer: 為免被綁架/相忌相輕 (if any), please know that Dr. Liao 從不插學生乾股, 相信 Web3 去中心化, 也不搞圈錢中心, 所以並沒有千億. 那是年輕人的Web3 世界。Instead of 暴富, Dr. Liao has been faithfully building two platforms for 研發 & 傳道授業解惑 2B systems for young generation. The platforms are ic3 (which is our version of https://www.initc3.org/ ) & NTU's abc consensus lab (台大abc共識實驗室), respectively. He releases his blockchain work as open systems (with data). Each semester Dr. Liao updates on his inspiring lectures such as how to analyze data, do quants, do real blockchain FinTech, and do AI systems. As a result, many smart NTU students have either retired or gone to Silicon Valley or 101.

課程模組:

我們每兩週一個模組。

課程Q&A:

We received many inquiries, which can be grouped into FAQs below. Note: Chinese questions will be answered in Chinese. English ones will be answered in English.Two sample questions are as follows.

>> Is liao@csie.ntu.edu.tw the correct email address?

Yes. (Note: We reply in English for English questions. Again, Chinese questions will be answered in Chinese.)

>> 老師，我想要加簽老師本學期的課，如何辦到?

請見 (Please see) FAQ 1。

[MUST READ FAQs] below: FAQ 1 on a) How to sign up? b) 實體 or 線上? c) 本課爆滿, 可否再提高修課人數上限? d) 可否旁聽?

a. Sign up and it will be answered in order (Typical for 第三類課程)。另，已修過仍可以加簽方式加修進來。 Note: If you couldn't sign up during the first 2 weeks, then email 加簽單 to the professor during Week 3. The process is called 電子化人工加簽單. If you attend the lectures during the first 2 weeks, you'll be given priority.

b. 根據學校規定，本學期為實體，不是線上。但本課也有online部分 (meet.google.com/axe-omnp-vfg) 是為了因COVID-19而隔離的同學。受限台大教室限制，教室電腦可以錄聲音，投影片，但沒有camera，所以板書無法online，儘量來實體課上。教室的錄音檔及投影片將在課後放在課程網站上，供學生複習，勿外流。(BTW, 教室設備問題已向學校反應.)

c. 本學期為了提高修課人數，已經換到最大教室。經查，同時段已無更大教室。100多人為教室容量。本課也請問學校是否可換成別類加選，但學校說：本學期為實體。即使走巧門，硬要無視學校實體規定，想法濫印加簽授權人數，將是灰色地帶。所以我們還是維持第三類加選。第三週再進行電子化人工加簽單。無法保證第三週一定加簽的到。Note: So far we have set quota to the physical seats available.

d. 如上所述 accommodating 修課學生已經十分困難，本課不開放旁聽 (除非教授OK and 未來一週很多人退選，導致教室坐得下)。

FAQ 2: “老師，除了台大課程外，有無美國課程？”

Please see Stanford 及 Berkeley 最新課程 (E.g., 2021年秋季班 https://rdi.berkeley.edu/berkeley-defi/f21, https://defi-learning.org/f22)，跟上時代沒問題。Note: 我已錄好前幾週精彩課程，包含智能合約實戰演練，手把手教學生 寫好 合約，資安檢查，部署合約，並上市衝鋒玩真的。學生也可自行搭配 Berkeley 的上述課程。

金融科技 分2種FinTech: Legacy FinTech 及 Blockchain FinTech. 後者的成長率及獲利能力誠如 Berkeley 教授所言十分驚人，享科技先行者的早期紅利。但我們也會教 Legacy FinTech (一個模組).

FAQ 3 on 對修課身份的限制：

我們只能讓修課的學生來參與。畢竟這門課要發比特幣，要做受歡迎的量化交易競賽，要智能合約實戰演練等等都需要資源，而比特幣...資源 有限。加上又有多人預選了，我們實在無法開放旁聽。只能給修課的學生AMA (Ask-Me-Anything)。所以，課程網站，投影片，影片盡量就留在 NTU COOL，請不外傳給非修課者，否則到時 路人甲 按了打錢的網址 或 按了投影片上的 Google Meet 連結進來，把問問題的時間佔住，而這些都是有限資源。必須給已爆滿的修課同學。

我們不能把這麼重要的課當作通識課來教。我們必須系統性的由老師從學期頭帶到尾的有主軸、有積累、手把手，不適合旁聽。並且這課 本就不會去幫個銀行/傳統公司/任何公司來 recruit interns via 通識 style。旁聽不適用。我們是實戰演練，得獎者玩真的給$。目標是高科技。Anyway, 我們很苦，電資學院的畢業生即使去銀行/傳統公司常常也待不久。大家還是 prefer 高科技公司如 Google。本課會兼顧平衡，並不會只找傳統派的。年輕人時間寶貴，向前看。

這門課 學生會發現：技術含量高，觀念有抓到，正本清源的學生將會含金量高（長線思維）。若是 Legacy 金融，難免階級複製居多，技術含量低的但有錢的人（例如捧著大把銀子就去買被動的指數型基金者）: 反而含金量不錯！

台大年輕人比較適合技術含量高，他們不一定像老年人已緊抓資產在手上，但台大學生卻能技術，發明借貸協議，保險合同，投資合約的 源源不絕。已在DeFi全球排行榜前20名，Akio Tanaka (國際知名的 Headline Ventures and Infinity Ventures，有 US$2.5 B 資金) 上月到我們實驗室 recruit 畢業生時，告訴大家 他已經投了3家我們學生的 startups! Note: 老師都沒佔股，也不從學生的 startups 拿錢，老師的制高點是：傳道授業解惑，提供年輕人玩真的技術與平台，正本清源，靜水深流，不求回報。年輕人不需要看別人有$去潑髒水。這些startups畢竟都是大家的台大同學，請珍惜同學情誼。解決潑水的方法是修這門課，搞懂分散式金融。Anyway, 學生畢業後，學校頂多扶上馬，送一程。

FAQ 4 on language Issue:

Please note that with ~150 students (NTU+NTNU+NTUST+APAC) in class, we have to group students into smaller teams and rely on peer-reviews. Your peer students may speak in Mandarin or English. The distinguished students may speak in Mandarin or English. Here are 3 successful cases:

• Student "Foo" (~97% of class students): Fluent in Mandarin but can only understand half of English when students ask questions in English. "Foo" is typical of this class: 97% of the students in class were born in Taiwan and are native Mandarin speakers. They have no problems with the class and can use the class to learn bilingual at the same time.

• Student "Wong" (2% of class students): Fluent in English but can only understand 60% of Mandarin when students ask questions. He told me that he has no problems in taking this class.

• Student "Harding" (1% of class students): Fluent in English but zero-knowledge in Chinese: We have success cases before, such as XXX who got an A+ from last semester. The reason it worked for him is because he teamed up with "Foo" in class. So if you are like Student "Harding", you should ask Seth Harding immediately if he can team up with you and translate Foo's mandarin questions, bilingual lectures, for you from time to time. If not, I will NOT recommend you to take this class. Reason: There is no fun for you to fail the class. I want students to succeed. I have to take care of "Foo" (97%) and "Wong" (2%) as well.

Summary: The class is mainly for "Wong" and "Foo". "Harding" can take the class if he gets an OK from Seth Harding.

There are 2 types of videos:

• English: Those English videos will be marked "English." Bilingual ones will be marked "bilingual."

• Bilingual: 中英夾雜，盡量英文字幕/投影片，字幕要靠學生群策群力。這樣效果最好。

Note: FinTech and Blockchain 國際上，資料多為英文，尤其是新的東西。你必須有英文閱讀能力，否則拿到的是次級資料，被割韭菜。AMA 時，你用 中文問，我就用中文回答。你用 英文問，我就用英文回答。因材施教。有 panel 時，有的 panelist, 如我的 Google 前同事 不會中文，那就會都用 English 回答。否則，panelist 我觀察都會尊重提問者：提問者用中文，即用中文回答等等。

Course Outline

Grading Policy

1. Homework: 30%

2. Midterm: 20%

3. Final project & other projects/homework: 45%

4. Quiz: 5%: Before/after Week 8