Course title in Mandarin and English: 數據分析 & 區塊鏈 (Data analytics & Blockchain)

TL;DR:

• Quiz: https://docs.google.com/forms/d/e/1FAIpQLSc_HNTp0ULJIkqupACYNqyWH1U4NV-hu_-194pijZiF1XKLPQ/viewform

• 本課時間原為三9 10 A，保障在職生的受教權。但由於系上必修課是三789，故改為三 1 10 A。但週三早上的課我將 pre-record it，並保證不會 quiz or roll-call。所以，週三早上不用來（包含 2/21 早上也不用來）。我不會讓週三早上起不來的學生 get disadvantaged。所以，2/21早上不會發授權碼。（我才剛因為睡不飽發生車禍，請學生務必睡飽。不用設鬧鐘以強迫自己早起來三1。若出車禍，我承擔不起。）

• To enroll in the class, do Spreadsheet 1 (Sp1) first.

• Finishing Spreadsheet 1 = You 1) email 2b@csie.ntu.edu.tw, and 2) fill out your basic info in the Sp1 above.

  • Note: Both 1) and 2) are simultaneously needed and cross-checked. Doing one without the other will disqualify you from joining the course.

• Then we'll batch process the 1) and 2) in at least 6 open sessions this week below (經過6 sessions 後，若還有剩下的授權碼，將以電資學院優先，因畢竟這是電資學院的課；到最後階段，給光為止): If your Spreadsheet 1 email is deemed correct and your result satisfactory, then we'll email you the 授權碼 and you'll have 3 hours to use it. If we find that you miss the 3-hour deadline, we'll immediately give 授權碼 to those on the waiting list. Again, The 遞補者 will also have only 3 hours to use it. If we find that 遞補者 also miss the 3-hour deadline, the 授權碼 will go back to the pool, waiting for the next open session.

  • 因為學校的加退選只能在一三五的 9am to 隔晨3am, we arrange our open sessions only on 一三五。No 授權碼 hand-out on Tuesdays and Thursdays。

  • Internet 時代, there are 2 types of over-achievers: 起個大早者 and 趕個晚集者。So we'll have 起個大早 sessions and 趕個晚集 sessions below.

    • 起個大早 session: 2/19's 810-9am in Room 502, NTU CSIE. Students will witness the open session in handing out 授權碼; 我們沒有私相授受授權碼。每個學生我們都檢驗了。

      • Say, we allocate N 授權碼 for this session. We'll select the first N students who finished Sp1 and the next N students as 遞補者。The 遞補者 are those who finished Sp1 later than the first N students。

      • After you get 授權碼 during this session, you should go register for the course ASAP。After registering, you need to write down your registration code on the spreadsheet, signaling that the 授權碼 is used. At 2/19's 12pm, those who haven't written down the 授權碼 on the spreadsheet will have their 授權碼 forfeited。At 2/19's 12pm, I immediately re-assign your 授權碼 to 遞補者 through emailing。The 遞補者 will have time until 2/19's 3pm to register for the course。At 3pm, unused 授權碼 will be recycled to the pool, to be used in the 趕個晚集 session。

        • How to prevent the race condition? What if the 遞補者 偷用 the recycled 授權碼 after the 3pm deadline above? Read the Sp1 description above: The 偷用者 will get a 0 for HW1, after 偷用者 uses the forfeited 授權碼 to enroll in the class, against the rule。It will be a 10-point penalty because the 偷用者不遵守 HW 規矩。Hope the 10-point penalty will deter 偷用者 from doing it。Also, If you fill in the spreadsheet with wrong info, we'll apply this 10-point penalty when we find out。

        • 10-point penalty means you can get at most 90-point in your final grade。It's a big deal。

    • 趕個晚集 session: 2/19's 810-9pm in Room 502, NTU CSIE.

      • Because university 加退選 session 只能在一三五的 9am to 隔晨3am, 我們週一晚上就 810-9pm 選好 N（入選）+N（遞補），just like in the 起個大早 session above。Note：After 遞補，the hard deadline is specified by the university above: 隔晨3am. So, don't be late! Come to 趕個晚集 session at 810pm and get your 授權碼。發給N學生就結束這個session了。Just as 台大要求實體上課，we give priority to people who come to the open sessions。If you only 填表 without showing up during the open session，you know we give 授權碼 to the N students who show up。If the number of present students is smaller than N，then we go through the spreadsheet。

    • Note: Don't come to Room 502 outside the 起個大早 and 趕個晚集 sessions. We are doing research in between time and do NOT want to be disturbed.

    • 起個大早 session: 2/21's 810-9am in Room 104, NTU CSIE.

      • Same rules apply。

    • 趕個晚集 session: 2/21's 810-9pm in Room 104, NTU CSIE.

      • Same rules apply。

    • 起個大早 session: 2/23's 810-9am in Room 502, NTU CSIE.

      • Same rules apply。

    • 趕個晚集 session: 2/23's 810-9pm in Room 502, NTU CSIE.

      • Same rules apply。

    • If there are still many students who show up at Room 502 on Friday 2/23, wanting to get in class, I may apply for more 授權碼 from school. (No guarantee). And then we'll have extra 起個大早 session at 2/24's 810-9am in Room 502, NTU CSIE. Reason: 學校 加退選 session 有 2/24's 9am-12pm。把握這個 224 session！

    • We have similar sessions on 2/26, 2/28, 3/1, 3/2 (請把握最後機會, 你來領授權碼).

• Syllabus spreadsheet: https://docs.google.com/spreadsheets/d/194iS9EfA99f2UGwR13axV4PIFGA-FXJ8iHHxm1p8uxM

• 815am Google Meet: meet.google.com/ajr-viuv-xrb

• 630pm Google Meet: meet.google.com/iks-djhz-azd

• Recap: Course roadmap of 2B: Blockchain FinTech and Big data:

  • Summary: 2B involves 2 courses each semester. There are 6 courses in total span of 2 years: DeFi, FinTech, BDS, BDSA, BitDA, BlockDA.

  • DeFi, FinTech: Offered annually.

  • BDS, BDSA, BitDA, BlockDA: Offered biannually.

• Description of the 6 2B courses:

  • DeFi is offered every Fall semester. FinTech is offered each Spring.

    • Difference between DeFi and FinTech class: DeFi is 正本清源。不自我設限，跳脫法律框架。Then, FinTech class will add 合規 and Risk Management.

    • In 2017, Deloitte said FinTech is ABCD (AI, Blockchain, Cloud, Big data). But FinTech is “ABCDEFG, 1234567.” Ref: “Adaptive Market” by MIT Prof. Andrew Lo. EFG (Ego, Eco, Fear, Greed) is very important in understanding essence of FinTech. We shall understand the FinTech revolution and its disruptions, innovations and opportunities. The course provides the latest practical knowledge of FinTech, enabling students to understand the important financial changes currently taking place in the financial services industry, as well as the trends in its future development. This course covers important functions under the financial technology ecosystem, including: Internet finance, P2P lending, crowdfunding, digital payment, artificial intelligence, Big Data, cryptocurrency and blockchain technology, network security, cryptography, insurance technology and regulatory issues.

  • For Big data:

    • BDSA is offered in the Spring of odd years ('23, '25, '27, ...)

    • BDS is offered in the Fall of odd years ('23, '25, '27, ...)

  • For 2B: both Blockchain FinTech and Big data: Note: To 方便記憶, 2B is 偶數. 這兩門課是偶數年提供。

    • BitDA is offered in the Spring of even years ('24, '26, '28, ...)

    • BlockDA is offered in the Fall of even years ('24, '26, '28, ...)

• Harvard Business Review 2012: Sexiest job in 21st century: Data scientist. 2024: Sexiest job in 21st century: Web3 Data scientist 

• This course "Blockchain & data science" is to train students to become a Web3 data scientist. 

Key milestones to check on students: Analyzing your data with other data (跨資料集) 

Key milestones to check on students: Data Privacy & Security

    Key milestones to check on students: Data Governance, data as labor, Identity, DAO vs. RegTech 

Note: 正本清源: Web3 is based on Web2. Don't just learn Web3 -- You'll just be a 憤青. Be solid on Web2 data science too. 

Note: This NTU course is listed in both CS and Smart MHI (Medicine & Health Informatics), as Prof. LIao is appointed at both 資工 & 智慧醫療 and designs the data science syllabus for the program. 

• To meet minimum data science requirement, students should finish 4 modules, each consists of 2 weeks:

Module 1: What is Web3 (blockchain) and data science, taught in Week 1 & 2, respectively. Bootstrap the course with Healthcare InsurTech blockchain data 

      Module 2: Level 1 in Web2 data science 

      Module 3: Level 2 in Web2 data science

Module 4: Level 3 in Web2 data science

After 4 modules and midterm, we are ready to take 3 applications (medical, machine doctor, money). 

  These 3 Ms got the most important dataset to analyze for this decade: 沒有健康, 其他沒意義. 人是領頭的1. 所以, 3M = 人 (medical) 用機器 (machine doctor) 去賺錢 (money). 3個都需要AI data science. 

  Module 5 is on 醫療AI/遠距醫療/Web3醫療/人用機器去賺錢.

   Module 6 concludes the course: 

  Module 6 is on Web3 data science.

• 本課有doctors & 智慧醫療學生. Some are from Japan, SE Asia, and West. To accommodate them, we have class in medical school on Saturdays. If you are capable CS students, you can leave right after each class (8:10 to 11am). 

Shih-wei Liao (Instructor): liao@csie.ntu.edu.tw

You should refrain from emailing individual TAs. Sending your questions to 2b@csie.ntu.edu.tw list. We found some students email the TA one-by-one. The better way is to reach the whole group at once. No late submission.

TA: 2b@csie.ntu.edu.tw Office hour: Each Wednesday 9:10-10am at Room 104.