Class is held every Tuesday & Thursday at 2:10 pm.

• Interarrivals, service time, number of servers, system capacity, size of calling population: A/B/c/N/K
• Probability Distributions:
  • Bernoulli trials
  • Binomial
  • Normal
  • Poisson
  • Continuous vs. discrete
  • Exponential
  • Poisson approximation to binomial
  • Poisson relationship to exponential
• M/M/1 queuing structures
• Balance, steady-state, or equilibrium equations
• Markov chains
  • State transition diagrams
  • Non-stationary vs. stationary
  • Asymptotic Behavior
  • First passage of time and recurrence time
  • Periodic and aperiodic
  • Ergodic and absorbing states
  • Reachable
  • Irreducible
  • Equilibrium (Stationary) State Probability Vectors
• Fuzzy Systems
  • Entropy, E(A) = M(A fuzzy-intersect A^c)/ M(A fuzzy-union A^c)
  • S - subsethood
  • Fuzzy Approximation Theorem (FAT)
  • Fuzzy Associative Memory (FAM)
  • Defuzzification
• Regression Analysis
• Evolutionary Computing