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.
• 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

• You can find a detailed description of the project, its challenges, solutions, and overall journey at the following link: [Project outcomes].

• See you all at the Demo Day!

• 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.
  

Schedule

Herebelow, you can find the schedule of the course.