Instructor: Dr. John C.S. Lui
I would like to extend my appreciation to Dr. William Cheng, the creator of the TGIF graphics package, which makes my life much easier in creating these lecture notes.
 Lecture  
     (Introduction)
    
       Lecture  
     (Introduction) 
 Lecture    
     (Review of probability and random variable: I)
 
    
       Lecture    
     (Review of probability and random variable: I) 
 Lecture  
     (Review of probability and random variable: II)
    
       Lecture  
     (Review of probability and random variable: II) 
 Lecture  
     (Stochastic Process, baby queueing theory and method of stages)
    
       Lecture  
     (Stochastic Process, baby queueing theory and method of stages) 
 Lecture  
     (M/G/1 queue, busy-cycle analysis)
    
       Lecture  
     (M/G/1 queue, busy-cycle analysis) 
 Lecture  
     (G/M/m queueing systems)
    
       Lecture  
     (G/M/m queueing systems) 
 Lecture  
     (G/G/1 queueing systems)
    
       Lecture  
     (G/G/1 queueing systems) 
 Lecture  
     (Bounds, Approximation and Heavy-Traffic Analysis)
    
       Lecture  
     (Bounds, Approximation and Heavy-Traffic Analysis) 
 Lecture  
     (Introduction to Fluid Analysis)
    
       Lecture  
     (Introduction to Fluid Analysis) 
 Lecture  
     (Introduction to priority queue)
    
       Lecture  
     (Introduction to priority queue) 
 Lecture  
     (Introduction to transient analysis via uniformization)
    
       Lecture  
     (Introduction to transient analysis via uniformization) 
 Lecture  
     (Introduction to Matrix-Geometric Method)
    
       Lecture  
     (Introduction to Matrix-Geometric Method) 
 Lecture   
     (Introduction to queueing network)
      
       Lecture   
     (Introduction to queueing network) 
 Lecture  
     (Introduction to sample path analysis)
      
       Lecture  
     (Introduction to sample path analysis) 
 Lecture   
     (Introduction to inequality, Law of large number and large deviation theory)
      
       Lecture   
     (Introduction to inequality, Law of large number and large deviation theory) 
 Lecture   
     (Introduction to Markov Decision Theory)
      
       Lecture   
     (Introduction to Markov Decision Theory)  
 Lecture  
     Simulation Techniques
      
       Lecture  
     Simulation Techniques 
 Lecture 
     Fuid and Diffusion Approximation
       Lecture 
     Fuid and Diffusion Approximation
 Simulation Project for 2009 
       (Deadline: submit the source code/documentation in a CD/DVD during
	the final exam)
      
       Simulation Project for 2009 
       (Deadline: submit the source code/documentation in a CD/DVD during
	the final exam)
 Take Home Exam  
       (Deadline: May 4, 2007, 5:00 PM. Please submit to Room 1031)
       
       Take Home Exam  
       (Deadline: May 4, 2007, 5:00 PM. Please submit to Room 1031)
 Supplement: lecture nots by P. Nain
      
       Supplement: lecture nots by P. Nain 
 Homework 1
      
       Homework 1 
    
 Homework 2A
      
       Homework 2A 
 Homework 2B
      
       Homework 2B 
 Homework 3
      
       Homework 3 
 Homework 4
      
       Homework 4 
 Homework 5
      
       Homework 5  
 Homework 6 (only problem 12 and 13)
      
       Homework 6 (only problem 12 and 13)  
 Simulation Project I
      
       Simulation Project I 
 Simulation Project II
      
       Simulation Project II 
 Laplace and Z-Transform Tables
      
       Laplace and Z-Transform Tables  
 Take Home Midterm for 2005-2006
      
       Take Home Midterm for 2005-2006 
 CSIM homepage: (User's Manual for Simulation Package)
 
    
       CSIM homepage: (User's Manual for Simulation Package)   
 Code for simulating an M/M/1 System
      
       Code for simulating an M/M/1 System  
 Output Trace file for M/M/1
      
       Output Trace file for M/M/1 
 gzipped tarfile for the two sample programs (provided by Sam C.M. Lee)
      
       gzipped tarfile for the two sample programs (provided by Sam C.M. Lee)