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Future Blog Post

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

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Instructor of CIS 4930/CAP 5771: Data Mining - 2024 Fall

Undergraduate & graduate course, Florida State University, 2024

Administrivia

  • 📢 Instructor: Dr. Yushun Dong (yd24f[at]fsu[dot]edu)
  • 💡 Teaching Assistants: Md Shamim Seraj (mseraj[at]fsu[dot]edu)
  • 📅 Time: Mondays & Wednesdays, 4:50 pm-6:05 pm (ET)
  • 🏫 Location: Classroom Building (HCB) Profile 216
  • 🔍 Instructor Office Hours: Monday and Wednesday (6:05 to 7:05 PM at HCB 216).
  • 🔍 TA Office Hours: Tuesdays and Thursdays (2:00 to 4:00 PM at Love 359).
  • 🎒 Format: In-person only (unless there is a drastic change in the situation).

Instructor of CAP 5638: Pattern Recognition - 2025 Spring

Graduate course, Florida State University, 2024

Administrivia

  • 📢 Instructor: Dr. Yushun Dong (yd24f[at]fsu[dot]edu)
  • 💡 Teaching Assistant: Lincan Li (ll24bb[at]fsu[dot]edu)
  • 📅 Time: Tuesday & Thursday, 4:50 pm-6:05 pm (ET)
  • 🏫 Location: Love Building 301
  • 🔍 Instructor Office Hours: Tuesday & Thursday, 6:05 to 7:05 PM at LOV 301.
  • 🔍 TA Office Hours: to be determined.
  • 🎒 Format: In-person only (unless there is a drastic change in the situation).