Course info
Homeworks
Project
Exams
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Miscellaneous |
****
NEWS and ANNOUNCEMENTS ****
Course
information
- Instructor: Christos
Faloutsos,
(christos <at>
cs.cmu.edu)
- GHC 8019, ph (412)-268.1457
- office hours: We 1-2pm; also, by appointment
- TAs: contact info, and office hours:
-
- HE, Yuning ( yuningh
<at> andrew )
- Mon
4:00-5:00pm @GHC 5th floor commons area
- HOU, Chenying ( chenyinh
<at> andrew ) - Tu. 7:00-8:00pm @GHC 5th floor
common area
- LEE, Jay Yoon ( jaylee
<at> andrew ) - Fri.
10:30-11:30am @ GHC9227
- SHAH, Neil ( neilshah
<at> andrew ) - Th.
2:00-3:00pm @ GHC8023
- ZHANG, Yan ( yanzhan2
<at> andrew ) - Fri. 9:30-10:30am
@GHC 6th floor commons area
- ZHENG, Peixin ( peixinz
<at> andrew ) - Mon 10:00-11:00am
@GHC 5th floor commons area
- Class meets: Tu-Th 3:00-4:20, DH2302
- URL for this very web page: www.cs.cmu.edu/~christos/courses/826.F14/
Late Policy - for
all deliverables:
- No delay penalties, for medical etc emergencies (bring
doctor's
note).
- Each person has 4 'slip
days' total, for the whole
semester.
-
- That is, no questions asked, if the total delay is 4
days or
less.
- 5% per day of delay, after that
Regrade-request policy
- Regrade requests should be done in writing/email
- within 7 days
- to the TA that
graded the question, and specifying
- the question
under dispute (e.g., 'HW0-Q.2.b')
- the extra points requested (e.g., '2 points out of 5')
- and the justification (e.g., 'I forgot to eliminate
mirror pairs')
- in the remote case there is no satisfactory resolution,
please contact the instructor.
Homework pick-up information
- You may pick up graded homeworks etc, from the course admin
- Mrs. Marilyn Walgora, GHC
8120
- 8:30am-12noon, 1pm-4:30pm
every weekday
- with photo-id
(for your privacy protection)
Homeworks
Project
Exams
We will use the 'blackboard'
for discussions,
announcements, and homework deposits - for everything else, we will
use this very web page.
Misc.
resources
- ACM SIGKDD home page
(the
MAIN site for data
mining: tools, datasets and other resources)
- KDD nuggets: wealth
of
information for data mining - datasets, software, jobs, call for
papers etc etc.
- ACM SIGMOD home page
(DBMS
resources, free software, papers, conference info)
- StatLib (statistical
tools and datasets)
- info about hadoop and
PIG
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