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andersonje.com - Anderson Chicago neuroscience psychology computer science Jen Anderson Resources and Information.
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cs47.com
欢迎访问索沛CS论坛[索沛CS论坛]
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cs47.de
www.cs47.de
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cs47.fieldman.org
CS47: Beginning iPhone Application Development
CS47: Beginning iPhone Application Development. Thursdays, 7:00 - 8:50pm. 10 weeks, January 14 - March 18. Bldg Y2E2 - 473 Via Ortega, Room Rm 111 ( google map. Saturdays 10am-11am, Red Rock Cafe ( Yelp Info. Http:/ groups.google.com/group/stanfordcs47. This class requires that students have a strong object-oriented programming background, and are fluent is either C/C or Java. This list will continue to grow over time. Http:/ developer.apple.com/iphone. The official portal for all iPhone development need...
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cs47.tribalwarsmap.com
500|500 - Tribal Wars Map
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cs47.weebly.com
CS47 Gaming - Home Page
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cs4701.wikispaces.com
cs4701 - home
Skip to main content. Welcome to the Cornell University CS 4701 AI Practicum. Wiki This wiki will allow you to access and share resources relating to your project. The AI Practicum in the Fall 2011 semester will focus writing AI software to play the game of modified Chinese Checkers. To get started, choose your team and read about the competition rules and requirements. Choose your team assignment. Sign up for Presentation Slots. 13 September 2011, Phillips Hall 219). November 2011, Upson 242).
cs4720.cs.virginia.edu
CS 4720 - Mobile Application Development
CS 4720 - Mobile Application Development. CS 4720 - Mobile Application Development. Our course focuses on Android and iOS mobile app creation. We'll cover everything from Java and Swift in Android and iOS to what makes mobile app development different to simple web service development. Students who complete this course should possess an understanding of the nature of RESTful web-based application and be able to incorporate web services they create into a well-designed mobile app.
cs475.org
Johns Hopkins Machine Learning 600.475 Fall 2014
Machine Learning 600.475 Fall 2014. Johns Hopkins Machine Learning 600.475 Fall 2014. Instructor: Prof. Mark Dredze. Office hours: Tue 3-4pm (Hackerman 226C). Poorya Mianjy: Wed 10:30-12:00pm (Malone 340). Yiming Wang: Mon 1-2:30pm (Malone 340). We will focus on fundamental methods applicable to all applications. Application specific techniques, such as feature extraction, will be covered only to the benefit of understanding the basic methods. Thanks to Hosting Colombia.
