Applied Computer Science

Applied Computer Science

Shane Torbert

Language: English

Pages: 279

ISBN: 3319308645

Format: PDF / Kindle (mobi) / ePub


The second edition of this introductory text includes an expanded treatment of collisions, agent-based models, and insight into underlying system dynamics.  Lab assignments are accessible and carefully sequenced for maximum impact. Students are able to write their own code in building solutions and Python is used to minimize any language barrier for beginners.  
Problems involving visualization are emphasized throughout with interactive graphics, image files, and plots of generated data.  This text aims to establish a core learning experience around which any number of other learning objectives could be included.  The text is presented in eight chapters where each chapter contains three problems and each problem develops five specific lab assignments, plus additional questions and discussion.  This approach seeks to leverage the immediate feedback provided by the computer to help students as they work toward writing code creatively.  
All labs will scale to available hardware and free software could be used for the entire course, if desired.  Lab assignments have been used since 2011 at the #1 ranked U.S. high school. It is an ideal textbook for high school courses that prepare students for advanced placement tests.

tmux Taster

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0.0019531250000000 22 3.1415926535897936 3.2357e-16 43.0 23 3.1415926535897940 7.5541e-17 45.0 0.1224 0.0000000000001137 0.1196 0.0000000000000284 27 3.1415926535897940 2.3067e-19 53.0 28 3.1415926535897940 5.4541e-20 55.0 0.1101 0.0000000000000001 0.1081 0.0000000000000000 530 3.1415926535897940 4.9407e-324 1059.0 0.0245 0.0000000000000000 531 3.1415926535897940 0.0000e+00 1061.0 0.0245 0.0000000000000000 math.pi 3.1415926535897931 π :10−16 3.1415926535897932 Lab335: A Better Series

added and removed from different ends of the list. The advancing-front characteristic of the forest fire is related to a famous technique known as breadth-first search. Again, since there is a time component to our fire burning out it does not make sense to recursively floodfill all the way across the forest at once. We could modify Lab513 in the same way. 5.2 Runtime Analysis 133 Code Listing 5.15: Forest fire. Top: Initial conditions. Bottom: After five steps. T • T T • T T • T T • • T T • T T • •

• • • • • T T T T T • T T • • T T T T • T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T T

def __init__(self,x,y,h): # # instance variables # self.x = x self.y = y self.h = h # # def move(self,r): # oldx,oldy=self.x,self.y # self.x += r*cos(self.h*pi/180.0) self.y += -r*sin(self.h*pi/180.0) # drawline(oldx,oldy,self.x,self.y) # ... # # ###################### # # main program # smidge=Turtle(0,0,90) smidge.move(100) # Scope Code Listing 6.16 shows a class definition for Turtle, from Chapter 2, where instance data such as self.x are directly accessible by functions of the class (note the

the names pmg1 and pmg2 on Line 47 and Line 51 be different; otherwise, if the variable of a photo image is discarded then the corresponding Tk image will disappear (!) from the window. Figure 1.17 shows our goal: landing on the moon instead of crashing. 1.3 Lunar Module 21 Images courtesy of NASA Images courtesy of NASA Fig. 1.16: Descent of the lunar module (not shown to scale). Top: beginning free fall at an altitude of 100 meters, a contrived scenario. Bottom: crashing at over 40 mph.

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