Created:
Wed 06 Sep 2006
Last modified:
Instructor
Course
- Meets:
Mon/Wed/Thu, 10:30--11:35am
- Room:
166 WVH
Prerequisite
- Working knowledge of the basic concepts of probability
will be assumed (e.g., random variables, basic probability
distributions, expectation, etc.).
- Advanced undergraduates should seek the advice of the instructor.
Text
There is no required text for this course. Two optional texts covering
material from this course are given below.
- Modern Information Retrieval by Ricardo Baeza-Yates and Berthier Ribeiro-Neto.
- Managing Gigabytes, 2nd edition, by Witten, Moffat, and Bell.
Homework
- There will be four homework assignments, covering a mix of theory,
practice, and simple programming. The exact schedule of assignments will be
posted on the syllabus page.
Projects
- There will be two projects, as described on the projects web page.
Grading
- Homeworks: 60%
- Projects: 40%
Academic Honesty
- All work submitted for credit must be your own.
- You may discuss the homework problems with your classmates and
Professor Aslam. You must acknowledge the people with whom you
discuss your work, and you must write up your own solutions. Any
written sources used (apart from the text) must also be
acknowledged.
- Please ask if you have any questions about academic honesty as it
applies to CSG339.
Switch to:
jaa@ccs.neu.edu