Fall 2004
Time  Tuesday  2:30 pm  4:00 pm  (Room #2424 [ME Building]) 
Thursday  2:30 pm  4:00 pm  (Room #2424 [ME Building])  


Instructor  Prof. Nam Zin Cho (nzcho@kaist.ac.kr x3819)  
Teaching Assistant  Jong Woon Kim (spiky@fermi.kaist.ac.kr x3859)  
Lecture  in English  
Link to  Fall 2003 


Course Outline  
The Monte Carlo method, conceived in a neutron moderation study and born in the Manhattan Project, is a computer simulation technique that is now widely used not only in nuclear reactor design/analysis but also in other areas such as various science and engineering disciplines, and socio/economic studies as well. This course deals with fundamentals of the Monte Carlo methods (including related subjects of Ising models and molecular dynamics): (1) random variables and random number generation, (2) sampling procedures, including Metropolis algorithm, (3) analog Monte Carlo, (4) nonanalog Monte Carlo and variance reduction techniques, (5) molecular dynamics, atomicscale and quantum Monte Carlo simulations, and then applies the methods to a selection of representative benchmark problems from several application areas: (6) radiation particle (neutron, gray, and charged particles such as electron and proton particle) transport problems, (7) bio/nuclear medicine systems design, (8) multiple integrals and integral equations, (9) Ising models, (10) bridge from Ab initio simulation to continuum macroscopic analysis in multiscale modeling and simulation, and (11) optimization problems. 





Textbook  
Class Handout  
References  




Problem Sets  
 Following materials are open to enrolled students only. If you have any problem to access on materials, please contact with Teaching Assistant (Jong Woon Kim spiky@fermi.kaist.ac.kr x3859).
 Late problem sets will have 0.5 points deducted for each day. Please keep the due date. 



Notice Board  



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