(AI) System Programming

Spring 2025

Schedule: Mon/Wed 4:00pm-6:00pm
Location: GIST College Building C (N6), Room 110 (Zoom Online)

Instructor: Ue-Hwan, Kim (uehwan@gist.ac.kr)
Office: GIST Central Research Facilities (C11) 407
Office Hour: Tue 4pm-5pm (by appointment)

Notice


Introduction

This course provides a comprehensive introduction to artificial intelligence systems, with a focus on modeling, analyzing, and simulating complex phenomena across different domains. By integrating computational methods and theoretical insights, the course aims to equip students with the foundational knowledge and practical skills necessary to understand and design intelligent systems.

References

  • Artificial Intelligence: A Modern Approach Link
  • Probabilistic Graphical Models Link
  • Reinforcement Learning: An Introduction Link
  • The Elements of Statistical Learning Link
  • Foundations of Constraint Satisfaction Link

Schedule

Date Topic Materials Homeworks
03-03 No Lecture (National Holiday)
03-05 [Module 0]  Introduction Handout
03-10 [Module 1]  
03-12 [Module 1]  
03-17 [Module 1]  
03-19 [Module 1]  
03-24 [Module 1]  
03-26 [Module x]  
03-31 [Module x]  
04-02 [Module x]  
04-07 [Module x]  
04-09 [Module x]  
04-14 [Module x]  
04-16 [Module x]  
04-21 [Module 9]  Midterm
04-23 No Lecture (Midterm Period)
04-28 [Module x]  
04-30 [Module x]  
05-05 No Lecture (National Holiday)
05-07 [Module x]  
05-12 [Module x]  
05-14 [Module x]  
05-19 [Module x]  
05-21 [Module x]  
05-26 [Module x]  
05-28 [Module x]  
06-02 [Module x]  
06-04 [Module x]  
06-09 [Module x]  
06-11 [Module x]  
12-16 [Module 9]  Final exam
12-18 No Lecture (Final Exam Period)