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.

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others, not contributing anything new to the overall drawing. This redundancy is more probable at all levels as time passes so we again have diminishing marginal returns, as shown in Figure 2.17. Depending on how much the size changes the details of these plots will vary but the overall characteristic remains the same. Later in Chapter 5 we will see an alternative technique called recursion that can be used to draw the entire tree precisely with a single (!) turtle. Other recursive possibilities

labs. Code Listing 2.9: Mouse dragged event. # def click(evnt): ... # def drag(evnt): ... # root.bind(‘’,click) root.bind(‘’,drag) # 58 2 Graphics Fig. 2.23: A lot of rectangles, each is drawn so you see it grow as you drag. Lab234: Rectangles! The idea is that as the mouse is dragged you can see the rectangle changing size, updated dynamically. Each rectangle is fixed in place only as the button is released. Code Listing 2.10: Rectangle commands. #

the last two points of Alabama’s second polygon and the first two points of Arkansas’s only polygon. Parsing the Internet’s “dirty” dataset is a topic for another course. Code Listing 3.3: Part of a file containing all 49 contiguous U.S. regions. ... -88.1665689999999955 -88.1884692736000062 END_ONE_POLY END_ALL_POLY AR -94.4760497582000056 -94.4568835367000048 ... 30.2492550000000016 30.2469340542000005 36.4993199124999990 36.4993666550000029 3.1 Geospatial Population Data 67 Fig. 3.8:

High-quality results in Table 3.4 are based on sin 30◦ = sin (π /6) = 1/2 = x and: π x3 x5 x7 x9 x11 = c1 x + c3 + c5 + c7 + c9 + c11 +··· 6 3 5 7 9 11 π 1 = (1)x + c1 6 2 x3 3 + c3 3 4 x5 5 + c5 5 6 x7 7 + c7 7 8 x9 9 + c9 9 10 x11 +··· 11 c1 = 1 c3 = 1 2 c5 = 1·3 2·4 c7 = 1·3·5 2·4·6 c9 = 1·3·5·7 2·4·6·8 c11 = 1·3·5·7·9 2·4·6·8·10 Note how we experience swamping after step 23 long before underflow at step 531. Chapter 4 Efficiency To solve a small problem it is unnecessary to

Sets we get another movie and frame-to-frame transitions are “interesting” when the corresponding c-values mark a continuous path, particularly from along the Mandelbrot Set’s edge. Such a movie based on our plot here might show the “spikes” waving back-and-forth over time. Code Listing 4.15: Some commands to help generate and plot a Julia Set. xmin,xmax=-1.5,1.5 ymin,ymax=-1.125,1.125 # c1=-0.7375 # fixed c2= 0.0625 # x0=xmin+xp*(xmax-xmin)/w y0=ymax+yp*(ymin-ymax)/h Chapter 5 Recursion

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