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Habitable Planet Interactive Carbon Lab
http:/www.learner.org/courses/envsci/interactives/carbon/carbon.html
The Carbon Cycle Part 1
Run the simulation to 2100 with the default settings. Record the total carbon levels in
each "sink" (terre

LCA Analysis
Step 1: Scope of Analysis
Problem Definition: We are creating an automatic door opener that will allow an individual who
is handicapped to open and close a door without additional help. The product will be deemed
successful if it improves the

BE 351
Test 2 Review
-Random: if individual outcomes are uncertain but there is nonetheless a regular distribution of
outcomes in a large number of repetitions
-Probability: the proportion of times the outcome would occur in a very large series of
repetit

BE-351 Biological Systems: Data Acquisition and Analysis
Introduction to Laboratory 1 (Chart - a tutorial)
BE-351 is focused on giving you an experience in collecting data from complex
(coupled) systems and analyzing these data sets. The data sets will in

Exam Notes
Four Basic Things needed for Fourier Analysis
1) Samples of length 2^n
2) Signal should be periodic similar to basis functions
3) Sampling frequency should be much faster than what you are interested in
Sampling rate = of frequency
4) Signal s

Comparison
a. Random Graph
o Poisson distribution
o Low Average Path Length
o Low Clustering Coefficient
o Unrealistic degree distributions
o When we attack a random graph randomly, we dont really affect the network
b. Small World Network
o High transitiv

Lecture 15
How well do workers interact with craftsmen? Strength between types?
Seeing Around Corners Cellular Automata to model Networks
o Common phenomenon in many social networks we tend to associate
preferentially with people who are similar to oursel

Lecture 11/12
Random Boolean Networks
o What starting states corresponds to each state cycle-> Basin of attraction
o What if we change the rules-> a mutation
o Based on Kauffmans studies, networks exhibit 3 major behaviors
Ordered
Complex
Chaotic
o The

Lecture 9
If A is symmetric then the eigenvalues are real
Eigenvectors that correspond to distinct eigenvalues are linearly independent
Eigenvectors that are only orthogonal in the situation when the matrix is symmetric or if
it is Hermitian, that is, equ