Data Engineering

• Code: AI5308 / AI4005
• Schedule: Tue/Thu 1:00pm-2:30pm
  
• Location: GIST College Building A, Room 227 (N4)
• Instructor: Sundong Kim
• TAs: Sanha Hwang, Sungkyu Yang, Hongyiel Suh
• Discord Channel (Discussion and Q&A, Team Collaboration)
• Contact: Students are encouraged to ask all course-related questions on Discord, where you can also find announcements. Meanwhile, our office hours are as follows.
  • Sundong: Tue 2:30pm-3:30pm, Discord or GIST AI Graduate School (S7) Room 204/208
  • Sanha: Discord or GIST AI Graduate School (S7) Room 208
  • Sungkyu: Discord or GIST AI Graduate School (S7) Room 202
  • Hongyiel: Discord or GIST AI Graduate School (S7) Room 202
    
• Class Overview, Logistics and Grading: See this page
• Final Project: See this page

Textbook & References

• Books - PDF available at LMS and GIST library, Courtesy by O’Reilly
  • Designing Machine Learning Systems (DMLS) - Main Book
• Reference
  • Stanford CS329S: Machine Learning Systems Design
    • MLOps Discord Channel by Chip Huyen
    • Supp. Booklet: Machine Learning Interviews
  • MIT Introduction to Data-Centric AI
    • Course Github
  • Full Stack Deep Learning
    • Course Youtube
  • Stanford MLSys Seminars
  • Applied Data Science Papers
  • Introducing MLOps
  • Practical MLOps

Notice

• Second quiz will be on Jun 1, which covers all class material including invited talks.

• Project page is updated (May 19) — Mid review III and final preparation, demo day schedule!

• Project page is updated (May 11) — Demo day and final report announcement!

• Project page is updated (May 2) — Mid review II announcement!

• Class logistics page is updated.

• Homework released (March 27) - Write your first critique and submit here.

• Homework released (March 17) - Make your webpage & CV and submit here.

• I invited several speakers to GIST AI colloquium regarding to our course. Check this page and attend them.
  

Tentative Schedule

Herebelow, you can find the tentative schedule of the course. Overall course will follow the DMLS book, which is a up-to-date version of the CS329S lecture notes by Chip Huyen.