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02806 Course Wiki

Course Overview
Page last edited by Sune Lehmann Jørgensen (sljo) 01/04-2014
This is an outline of the course structure
  • Lecture 1 (Feb 4): Startup. Getting Python Up and Running. matplotlib

  • Lecture 2 (Feb 11): Visualization I (Working with Python and Data (DAWOST chp 2))

  • Lecture 3 (Feb 18): Visualization II (DAWOST chp 2)

  • Lecture 4 (Feb 25): Visualization III

  • Assignment 1 is due (March 3rd 23:59).

  • Lecture 5 (Mar 4): Sentiment ("word lists" vs machine learning, PCI chp 6)

  • Lecture 6 (Mar 11): Decision Trees (PCI chp 7)

  • Lecture 7 (Mar 18): Search in graphs (PCI chp 4)

  • Assignment 2 is due (March 24th 23:59)

  • Lecture 8 (Mar 25): Dynamic Networks 1

  • Lecture 9 (Apr 1): Dynamic Network 2

  • Assignment 3 is due (April 7th 23:59).

  • Lecture 10 (Apr 8): Project Work

  • Easter Break (Apr 15)

  • Project Assignment A is due (April 20th 23:59).

  • Lecture 11: (Apr 22) Project Assignment A

  • Lecture 12: (Apr 29) Project Work

  • Lecture 13: (May 6) Project Work

Project Assignment B due (May 12th 23:59)
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