EECE454: Intro to ML Systems (Fall 2025) #

Team #

• Instructor. Jaeho Lee 이재호 ✉️
• TA 1. Minseok Kim 김민석 ✉️
• TA 2. Taesun Yeom 염태선 ✉️

Location & Time #

• Class. Mondays/Wednesdays, 09:30–11:00 @ LG Hall, #105
• Office Hr. Wednesdays, 17:00–18:00 @ GoAround Coffee (or by request)

Schedule (tentative) #

• W1. Introduction / Basics of ML
  (9/1, 9/3)
• W2. Linear Regression / Simple Classifiers
  (9/8, 9/10)
• W3. Support Vector Machines / Kernel SVM
  (9/15, 9/17)
• W4. K-Means Clustering / Gaussian Mixture Models
  (9/22, 9/24)
• W5. Dimensionality Reduction / Decision Trees
  (9/29, 10/1)
• W6. Chuseok Holidays
  (10/6, 10/8)
• W7. Deep Learning Basics / Backprop
  (10/13, 10/15)
• W8. Mid-Term
  (10/20, 10/22)
• W9. Training Neural Networks
  (10/27, 10/29)
• W10. Bits of Vision: Tasks, Architectures, Representation Learning
  (11/3, 11/5)
• W11. Visual Generative Models: VAE, GAN, Diffusion
  (11/10, 11/12)
• W12. Bits of Language: Tasks, Architectures, Representation Learning
  (11/17, 11/19)
• W13. Large Language Models and Multimodal LLMs
  (11/24, 11/26)
• W14. Application to Robotics and Reinforcement Learning
  (12/1, 12/3)
• W15. ML Efficiency / Societal Issues
  (12/8, 12/10)
• W16. Final Project Presentation
  (12/15, 12/17)