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courses:cs366:syllabus [2018/02/14 11:49]
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courses:cs366:syllabus [2020/01/08 17:03]
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-==== CS 366 Spring 2018 Syllabus ====+==== CS 366 Spring 2020 Syllabus ====
  
 == Text == == Text ==
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 == Other useful books and materials == == Other useful books and materials ==
  
-  * Witten, I. H., Eibe, F., Hall, M.A. [[https:www.cs.vassar.edu/~cs366/docs/Data-Mining-Weka.pdf | Data Mining: Practical Machine Learning Tools and Techniques]], Third Edition.+  * Witten, I. H., Eibe, F., Hall, M.A. [[https://www.cs.vassar.edu/~cs366/docs/Data-Mining-Weka.pdf | Data Mining: Practical Machine Learning Tools and Techniques]], Third Edition.
   * Manning, C. and Schütze, H.  [[https://nlp.stanford.edu/fsnlp/ | Foundations of Statistical Natural Language Processing.]] MIT Press.   * Manning, C. and Schütze, H.  [[https://nlp.stanford.edu/fsnlp/ | Foundations of Statistical Natural Language Processing.]] MIT Press.
   * Lutz and Ascher, [[http://shop.oreilly.com/product/9780596002817.do | Learning Python]], O'Reilly.   * Lutz and Ascher, [[http://shop.oreilly.com/product/9780596002817.do | Learning Python]], O'Reilly.
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 You can use the computers in the Asprey Lab in the Computer Science Department, which have all of the required software already installed. If you want to use your own computer, you should install the following: You can use the computers in the Asprey Lab in the Computer Science Department, which have all of the required software already installed. If you want to use your own computer, you should install the following:
  
-  * the Natural Language Toolkit--NLTK (available [[http://nltk.org/install | here ]]) and the NLTK data (available [[http://nltk.org/data | here ]]). If not already installed on your computer, you will also need to install [[http://www.python.org/download/ | Python]].+  * The Natural Language Toolkit--NLTK (available [[http://nltk.org/install | here ]]) and the NLTK data (available [[http://nltk.org/data | here ]]). If not already installed on your computer, you will also need to install [[http://www.python.org/download/ | Python]].
  
   * Weka for machine learning, available [[ http://sourceforge.net/projects/weka/ | here ]].   * Weka for machine learning, available [[ http://sourceforge.net/projects/weka/ | here ]].
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 == Discussion == == Discussion ==
  
-Messages will on occasion be sent to the class's [[https://groups.google.com/forum/#!forum/cs366-computational-linguistics-2018 | Google Group]], which also serves as a discussion forum for questions, etc. You are responsible for checking this list for important course information.+Messages will on occasion be sent to the class's [[https://groups.google.com/forum/#!forum/cs366-computational-linguistics-2020 | Google Group]], which also serves as a discussion forum for questions, etc. You should rhave received an invitation to join this group in email. NOTE: You are responsible for checking this list for important course information.
  
 == Grades == == Grades ==
  
-Grades will be determined on the basis of performance on four assignments (40%), a final project and presentation (50%), and class participation (10%). The [[courses:cs366:schedule|Schedule of Lectures, Readings, and Assignments]] contains links to assignments, lecture slides, and specifies due dates, etc. Information may also be disseminated via the [[https://groups.google.com/forum/#!forum/cs366-computational-linguistics-2018 | CS366 mailing list]].+Grades will be determined on the basis of performance on four assignments (40%), a final project and presentation (50%), and homework (10%). The [[courses:cs3662020B:schedule|Schedule of Lectures, Readings, and Assignments]] contains links to assignments, homework, lecture slides, and specifies due dates, etc. Information may also be disseminated via the [[https://groups.google.com/forum/#!forum/cs366-computational-linguistics-2020 | CS366 mailing list]].