Course info
Miscellaneous |
****
NEWS and ANNOUNCEMENTS ****
Course
information
- Instructor: Christos
Faloutsos, ( christos @ andrew )
- GHC 8019, cell ph (412)-576.79 three two
- office hours: Tu 3-4pm; also, by
appointment
- TA and office hours:
- Ravi Teja Mullapudi, ( rmullapu @ andrew
), Fri 10-11am, @ 234 Smith Hall
- Course admin: Mr. Tony Mareino, ( amareino @ andrew
), GHC 7227
- Class meets: M-W, 1:30-2:50, GHC 4303
- URL for this very web page: www.cs.cmu.edu/~christos/courses/826.F19/
Homeworks
- Homework1; and solutions
- Homework2 and
solutions
- Homework
3 and solutions.
- Homework 4 and
solutions
Project
- All projects:
- DEFAULT projects only:
Exams
- Midterm exam preparation:
- Final exam study guide
is out (***new, 12/02 ***)
Late Policy
- for all deliverables:
- No delay penalties, for medical/family/etc
emergencies (bring written documentation, like
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
- To use slip days:
- email
you material to the TAs
- with the subject line: 15-826 Homework
Submission (HW #)
- and the count of slip days you use, as well as
the count of slip days left
Regrade-request
policy
- Regrade requests should be done in writing/email
- within 2 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, but the rest of my answer
was correct')
- in the remote case there is no satisfactory
resolution, please contact the instructor.
Homework pick-up
information
- From the course admin (Mr. Tony Mareino)
- with photo-id
(for your privacy protection)
- M-W-Th-F 9-11am; 2-4pm
- GHC 7227
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)
- DASL (
Data and Story Library - statistical tools and
datasets)
- info about hadoop and
PIG
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