Optional Supplementary Videos
- A lecture on Text
Access from Cheng Zhai's University of Illinois MOOC on
Text Retrieval and Search Engines. You will need a (free)
Coursera account to access this video. It's worth signing up.
- A lecture on Information
Retrieval from Chris Manning's Stanford MOOC on Natural
Language Processing.
- The introductory lecture on How
Search Engines Work from Marti Hearst's Fall 2005 SIMS 141
course on Search Engines at the University of California,
Berkeley.
- A guest lecture by Sergey Brin on Search,
Google and Life in Marti Hearst's Fall 2005 SIMS 141 course
on Search Engines at the University of California, Berkeley.
Sergey is a graduate of the University of Maryland.
- A talk by Hussein Suleman on Research,
Innovation and Developmnent in East Africa
- Spring 2011 Full-Session Classroom
Video (216 MB .wmv video, slow download) (associated Powerpoint
slides)
Exercise E1
Finally, complete Exercise E1. Like all
assignments that you are asked to turn in, this is due at midnight on
the last day of the module (which, except for the last module, is
always a Sunday night). As with the videos, questions about the
assignments can be posted to ELMS, but questions should be posted by
Saturday night to make sure that I have time to answer them before the
assignment is due. Note that you are allowed to work with other
students on exercises, but you must type in the results yourself (no
cut and paste -- see the course description for details).
Don't forget to send me an email when you complete the module. This
may seem like a lot to do in the first week of the course, but it is
fairly typical of what a weekly module will be like. I think you'll
find that if you work at a steady pace, spreading your effort
throughout the week, this can be a truly exceptional learning
experience. Nothing is more conducive to learning than engagement
with the material, and our goal is to provide you with an unmatched
opportunity for that kind of engagement.
Doug Oard
Last modified: Wed Dec 13 08:03:50 2017