Tues A Guest: Dannie Durand, Mouse genetics
       Assignment 1: Write Simulation Program for Mouse Populations,
                     (due Tues, WEEK 2)
     B prc: "What Is Simulation and Who Does It?"  Lecture

Thur A ken: intro to prob. and statistics for mice (slides P1-P13)
     B prc: "What Is Simulation and Who Does It?" Con't
Tues A students: (Ass. #1 due) discuss results
     B Durand: Advanced mouse genetics simulations (sub-populations,
               migration, multigeneration survival, t-haplotypes, selection

Thur A ken: more probability and statistics, confidence intervals
     B ken  intro to numerical simulation, ode's, state space
       Assignment 2: Write simulation of nonlinear pendulum,
       (due Tues WEEK 4)
Tues A ken: finite-difference methods for ode's, convergence,
       stability, Euler's method
     B prc: frequency domain, DFT, interpretation, pitfalls

Thur A ken: ode's con't, second-order Runge-Kutta,
       stability, implicit methods, pde's:
       where do they come from
     B prc: display and interpretation of data: some initial topics
Tues A students: (Ass. #2 due) discuss results
     B ken: analytic soln. of nonlinear pendulum 

Thur A and B students: proposals for midterm project, 5 minutes each,
       short written proposal
Tues A prc: Data input: initial topics
     B ken: simulating queue arrivals: the exponential waiting
       time distribution; aliasing

Thur A ken: aliasing again, DFT representation, 
       FFT algorithm: theory, implementation
     B prc: black box models, parametric and nonparametric
Tues A  ken: intro to digital filters, room simulation as digital
        filter design, lowpass comb filters, Moorer's reverb structure
     B  prc: black-box modeling con't; nonlinear systems

Thur A and B students: presentation of midterm projects,
       reports due
                MIDTERM BREAK
Tues A and B students: presentation of midterm projects,

Thur   couple leftover student reports
       [Assignment 3 announced]
     A ken: digital filters, FIR (aka MA, moving-average, 
       feedforward) and IIR (aka ARMA, auto-regresssive/moving-average
       recursive, feedback) filters

Tues Assignment 3 out, the Vibrating String
     A ken: digital filters: inverse comb, comb, digital resonators,
            general forms
     B prc: Linear predictive coding (LPC), 
       application to speech modeling, Part 1

thur student report
     A ken: The Fermi-Pastai-Ulam experiment, the FPU paper
       will be distributed, further embellishments of the
       vibrating string discussed
     B prc: speech modeling: linear source-filter models
Tues A prc: speech modeling: non-linearity.
     B Mariusz: introduction to solitons

Thur Assignment 3 due, Assignment 4 (probably solitons in
     cellular automata) out
     A students: discuss Assignment 3
     B ken: discuss stability theory for PDE 
       finite-difference methods, von Neumann's method,
     C brief intro to filter automata (Assignment 4)
     D mj: the split-Fourier numerical method for
       nonlinear schroedinger's eqn
Tues A prc: speech modeling, conclusion.
     B ken: the plucked-string scam

Thur A prc: Factoring models into linear and non-linear
	components.  Flutes, Clarinets, Bowed Strings, etc.
     B ken: cellular automata, universality, Wolfram's
       classification, applications... lattice gasses

Tues A students: discuss Assignment 4
     B prc: Factoring models... (con't) 
Thur A students: propose final projects, due. May 13 
     B: ken: intro to economic modeling

WEEK 12 
Tues A: students: propose final projects (con't)
     B ken: economic simulation at the agent level: 
       A simple food/gold world;
     C prc: 

Thur A: ken & dans: economic simulation (con't); 
        simulating trend-based traders, price bubbles 
        and crashes