Slide 1Slide 2Slide 3Slide 4Slide 5Slide 6Slide 7Slide 8Problem Solving in Greenfoot9/2/2009Opening Discussion●Has everyon been able to get Greenfoot installed on your computer?●What did we talk about last time?●Minute Essays–Can we make the Wombat attracted to leaves/go to nearest one?–Will we be building “World level classes?”–Are we going to create our own actions?–Optimality with many wombats.More Minute Essay Comments–Book assumes I will have a central website. Right now it is the course website.–How do Greenfoot objects, like Wombats, compare to the more abstract objects of normal programming?–Making the wombat change directions.–Random walk to eat all leaves.–Memorable optimization problem.–I grew up in Austin.Algorithms●An algorithm is a systematic description of how to solve a problem. Programming is basically putting algorithms into a language a computer can understand.●You can view the computer as being very simple minded. It only understands simple instructions, not complex ones.●Blowing up a balloon example.Let's Play a Game●Go to the course web site and next to today's lecture you will find a link to a zip file that has three scenarios for today.●Extract the files in your personal space then open the first scenario in Greenfoot.●This is a puzzle game that should be fairly intuitive. Click run and play it some.Steps in the Game●Now I want you to open the second scenario.●For this one you can't use run. Instead, you will move the selector around manually and use a right click on the selector and the world to “play” the game.●What steps do you have to do in order to make the game work?Last Case●Now open the third scenario and try to play the game.●What has changed?●How does this change the steps we wrote down?Minute Essay●Recipes are a standard, yet simple example of something algorithmic that everyone can identify with. What do you see as a significant difference between recipes and what we looked at
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