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CSC 594 Topics in AI: Applied Natural Language Processing
Fall 2009/2010

Time: M 5:45 - 9:00 PM, Room CDM 202
Instructor:  Noriko Tomuro, tomuro@cs.depaul.edu
Office:  CDM 648 (Loop; CDM building 6th floor)
Phone:  (312) 362-5218 (Loop)
Office Hours:  Mon: 4:45 - 5:45 PM
Wed: 2:00 - 3:00 PM

Course Description:

This is a project-based, seminar-style course on Natural Language Processing (NLP). Students will work with professors and (other) PhD students on several NLP-related research projects.

During the course, some foundational NLP concepts and tasks will be introduced in the first 2-3 weeks, then the students will be divided into groups where each group (of 2-3 students) will work on a project for the rest of the quarter. The class will meet every week to report progress and discuss/brainstorm ideas. Students will also present research papers which are assigned by the instructor.

Prerequisites:

Consent of the instructor.  Although not required, the following courses are strongly recommended: CSC 578 (Machine Learning), CSC 575 (Information Retrieval), CSC 480 (Foundations of AI).  Students are also expected to be proficient in at least one programming language (Java, C++, C, Lisp, SAS, MatLab etc.)

Textbook:

There is no required textbook for this course.  However, the following books are highly recommended as references:

Grading:

The grade distribution is as follows:

    Assignments   40%
    Project       60% 

  • There will be two or three assignments.  Those will be individual assignments, where each student works by himself/herself.
  • 'Project' refers to the research project which the students work in a group.  The evaluation criteria include, but are not limited to: project achievement, final report, status report presentation and project participation. 

The grading scale is as follows:  

    90-100       A
    80-89.99     B
    70-79.99     C
    60-69.99     D
     0-59.99     F

Plusses and minuses will be given at the high/low ends of each grade range (note: no A+'s).

Late Policy:

Assignments are due at 11:59 pm of the due dates.  Late assignments are accepted (through email attachment) with the following penalty. 

If assignment is turned in... Penalty will be...
within 3 days of due date   10% of the total points for each day it is late
3 days or more after due date will NOT be accepted

Plagiarism/Cheating and Incompletes:

See the University and School policies on plagiarism and incompletes.