Test One Study Guide - Fall 2012 - Monday, October 8th
PDF of questions on NetLOGO GAME of LIFE model, NetLOGO OIL Percolation Cellular Automata CS model, and some NetLogo show the output questions.
x y ----------- ----------- 20.44712727 20.51518572 16.71315584 15.42506731 17.99293085 16.15964686 23.362533 22.79563739 24.9267934 22.01796826 18.55425506 18.20021532 23.79604137 21.90370105 19.86663545 17.55227197 19.1290307 19.0699128 21.91487095 22.91732607 y = mx + b or in Data Flyer f(x) = m * x + b What is m? _________________ What is b? _________________ What is the Sum of squares of deviations that you found?
What is the output you would see on the NetLogo grid after running the ExampleOne procedure? (Draw a rough picture of about what it would look like). TO ExampleOne ca cro 8 ask turtles [ fd 5 pd fd 5 pu fd 2 pd fd 2 pu fd 2 ] END
Show what the screen or the NetLogo grid would probably look like AFTER the following procedure ExampleTwo finishes. (Note: there may be many possible drawings that get full credit for this question. You will NOT be told this on the exam, but you are being told this for this study guide). CRO versus CRT - VIP to know! TO ExampleTwo CA CRT 8 ask turtles [ PD FD 8 ] END
to randomColorPatches ask patches [ ifelse random 100 < 30 [ set pcolor green ] ; Note: you might be asked to show the output of a NetLogo procedure that [ set pcolor white ] ; included an ifelse, so be sure to understand how ifelse is used in this example! ] end
SHOW THE OUTPUT, roughly what it would look like when stagger is done.
to stagger ca cro 8 ask turtles [ifelse remainder who 2 = 0 [ fd 5 wait 0.2] [ fd 10 wait 0.2] ] end
Just draw a picture of what the NetLogo window would look like after execution of stagger3 is done.
Copy and Paste the NetLogo code into your NetLogo if you want to see what the output looks like and verify you figured it out.
to stagger3 ca cro 15 ask turtles [ ifelse remainder who 3 = 0 [ fd 5 wait 0.1] ; the remainder was 0 [ ifelse remainder who 3 = 1 ; remainder was NOT 0 [fd 10 wait 0.1] ; the remainder was = 1 [fd 15 wait 0.1] ; the remainder was = 2 ] ] end
See the application with the two bouncing balls. RED uses Ease In and Ease Out to be a better model and simulation. GREEN does NOT use any easing in or easing out. Green Ball moves at a constant speed.
For the SHODOR Data Flyer application: Ease In, Ease Out, No Easing frame by frame locations of the ball moving from y = 20 to y = 380 over 10 frames.
Example: The Flash bouncing ball with Ease In and Ease Out and without Ease In and Ease Out (not easing). What does the graph look like for EASE IN? For EASE OUT?
Know and understand the formula for coming up with a Monte Carlo estimated area when you know the proportion of or the actual count of "darts" that landed inside the area of interest.
Example: Look at the following diagram which shows a solid point for every dart that was thrown and where it hit inside the target area. The target area is the rectangle there you see that goes from x = 1 to x = 3 and from y = 4 to y = 8. (Note: for practical purposes, only 16 or 20 darts were thrown in the examples shown here). Calculate what the estimated area of the region above function g and below function h would be? (The area BETWEEN function g and function h). Please show your work and calculations. I need to see your process of arriving at the result. You will get partial credit if your equation is correct, but you just had a simple calculation, arithmetic error. You will NOT get full credit for just having the correct answer, so show the process for that reason too.