[Basic Information] [Announcements] [Calendar/Assignments] [Links and Readings]
Welcome to CS 4950, Big Data
This course will introduce students to several different aspects
of work with computing and "big data." Topics covered may include data mining
and machine learning, large graph data analysis, data clustering, and new
models for processing large data sets rapidly. Students will work with the instructors
in groups on learning and assignments organized around four different themes
related to big data, one theme for each instructor. Students will work for one
month with one pair of instructors, then for a second month with the other pair
of instructors. Students will then select research projects of their own to
work on for the final weeks of the semester.
Announcements and Upcoming Events
Reminder: we (one or more of the professors) would like to receive an email from each student in the class by Wed, 4/15, telling us the project you intend to explore for the next month
Links to pages with interesting data sets have been added to our links page
Project planning meetings: Thursday, 12:30-2pm, CS conference room,
and / or Friday 12 - 1 pm. Please attend both if you can, as there is no way
to know ahead of time in which meeting someone will propose a project that appeals to you.
Special presentation: Friday, 1 - 2 pm, DBH 165, about Geographic Information Systems
For the next four weeks of the semester, student group A will meet with
Drs Carter and Hatem on Tuesdays and Thursdays from 1:30 - 3. Student group B will
meeting with Drs Martin and Thomas on Wednesdays and Fridays from 12:30 - 2.
All meetings will be in the CS department conference room (next to the CS lab).
|1/27/2015||Initial meetings of the class will be held Thurs, 1/29 at 1:15pm and / or Friday, 1/30 at 3pm. Please try to attend one or both of those meetings, and bring your weekly schedule so we can plan future class meetings.|
|1/27/2015||Welcome to CS 4950!|
Recommended Textbook is
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition,
by Ian H. Witten, Eibe Frank, and Mark A. Hall
of CS 3100.
Warning: We reserve the right to make changes to the
syllabus at any time during the term by announcing them via email
and on this web page.
|Assignments and Participation with Dr. Carter||20%|
|Assignments and Participation with Dr. Hatem||20%|
|Assignments and Participation with Dr. Martin||20%|
|Assignments and Participation with Dr. Thomas||20%|
Academic Honesty: The work you do for this course will be
your own, unless otherwise specified. You are not to submit other
people's work and represent it as your own. We consider academic
honesty to be at the core of the University's activities in
education and research. Academic honesty is expected at all times
in this course.