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courses:cs366:syllabus [2018/01/19 12:24]
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 == Text == == Text ==
  
-  * Dan Jurafsky and James Martin, [[http://www.cs.colorado.edu/%7Emartin/slp.html | Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition  ]], Second Edition. Required. (available in the Book Store and [[http://www.cs.colorado.edu/~martin/slp2.html | online]]).+  * Dan Jurafsky and James Martin, [[http://www.cs.colorado.edu/%7Emartin/slp.html | Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition  ]], Second Edition. Required. (available in the Book Store).
   * We will also use [[http://www.nltk.org/book/ | the online book associated with the Natural Language ToolKit (NLTK)]].   * We will also use [[http://www.nltk.org/book/ | the online book associated with the Natural Language ToolKit (NLTK)]].
  
 == Other useful books and materials == == Other useful books and materials ==
  
-  * Manning, C. and Schütze, H.  [[http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=3391 | Foundations of Statistical Natural Language Processing.]] MIT Press.+  * 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.
   * 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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 == 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 [[<cs366@cs.vassar.edu> | CS366 mailing list]].+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]].