| Weekly Schedule and Class Notes |
- Lecture notes : all notes will be posted in this section.
- It is your responsibility to download, print and bring the notes to the class. Notes will be available 24 hours before each class.
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Week |
Date |
Topic |
Reading |
Assignments |
Notices and Dues |
Notes |
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1 |
03/07 |
1. Course Organization / Introduction |
Lecture Note |
Homework #1 (Course Homepage) |
Homework #1 (Course Homepage) |
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2 |
03/14 |
2. Cyber Physical System & Digital Twin 3. Trends in Industrial Revolution |
Lecture Note |
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3 |
03/21 |
4. graph and network 5. First digital twin model : ODE, PDE 6. Second digital twin model : Baysian network |
Lecture Note |
1.issues in ode/pde 2. issues in baysian network |
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4 |
03/28 |
7. System dynamics 8. Third digital twin model : Nonlinear Programming / Optimization 9. Primal problem Vs Dual Problem |
Lecture Note |
Homework #2 (Data & Network) |
Homework #2 (Due is on Midnight, April, 2nd) |
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5 |
04/04 |
10. Data Statistics (I) - Random number generation, Montecarlo method 11. Data Statistics (II) - Correlation, Multivariate Gausian Distribution, Gausian Mixture model |
Lecture Note |
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6 |
04/11 |
12. Corperate structure 13. Probaility and Big Data / Digital twin |
Lecture Note |
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7 |
04/18 |
Reading day |
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8 |
04/25 |
Midterm Exam |
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9 |
05/02 |
14.Big data & Curse of Dimensionality 15. Engineering transform (Lplace, Fourier, Characteristic function) |
Lecture Note |
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10 |
05/09 |
16. Frequentist Vs Bayesian 17. Baysian-based Preditive process 18. Future - "Newsvender problem" |
Lecture Note |
Homework #3 (Future Investment Plan) |
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11 |
05/16 |
19. Baysian Statistics |
Lecture Note |
Homework #3 (Due is on May 16, before class, handout submission) |
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12 |
05/23 |
20. Concept of Stochastic programming - including "Newsvendor problem" 21.Baysian Statistics & EM algorithm |
Lecture Note |
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13 |
05/30 |
22. Fuzzy logic and control |
Lecture Note |
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14 |
06/06 |
Reading days |
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15 |
06/13 |
23. Quantum computing |
Lecture Note |
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16 |
06/20 |
Final Exam |
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