Week 0 (9/1) - Introduction
Week 1 (9/7) - Random signal theory 1 (Set Theory)
Week 2 (9/14) - Random signal theory 2 (Measure Theory)
Week 3 (9/21) - NH (추석)
Week 4 (9/28) - Probability theory 1 (Measure-theoretic View)
Week 5 (10/05) - Probability theory 2 (Discrete Random Variable)
Week 6 (10/12) - Probability theory 3 (Continuous Random Variable)
Week 7 (10/19) - Probability theory 4 (Continuous Random Variable)
Week 8 (10/26) - Mid-term
Week 9 (11/2) - Random Process 1
Week 10 (11/9) - Random process 2
Week 11 (11/16) - Gaussian process 1
Week 12 (11/23) - Gaussian process 2
Week 13 (11/30) - Estimation Theory 1
Week 14 (12/7) - Estimation Theory 2
Week 15 (12/14) - Final
Homework: 10%
Participation: 20%
Midterm: 30%
Final: 40%
This syllabus is subject to further change at the instructor's discretion.