Back to my home page; to my teaching page.
Here is the timetable of lectures and coursework information for 2015
Courseworks A, B, [must do and pass, but no marks] -- Courseworks 1 (30%), 2 (40%), 3 (30%)
Your lecturer is:
Professor David Corne, http://www.macs.hw.ac.uk/~dwcorne/
Office hour: Thursdays: 4:15pm—5:15pm
A blue box means a lecture. An empty box means NO LECTURE. However these slots may be used from time to time to cover cancellations, guest lectures, or something else. Of course, I’ll let you know well in advance.
All course
material is below, including CWs, BEYOND WHATEVER TODAY’S DATE IS, may
change a little.
week |
date |
Thursday 13:15 EM183 |
Friday 12:15 WP108 |
Coursework handout |
Coursework handin |
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1 |
w/b
Mon 14th Sep |
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2 |
w/b
Mon 21st Sep |
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3 |
w/b
Mon 28th Sep |
More basics
& CW1 |
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4 |
w/b
Mon 5th Oct |
C/W A Fri
9th Oct 23:59pm |
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5 |
w/b
Mon 12th Oct |
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C/W B Fri 16th Oct 23:59pm |
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6 |
w/b
Mon 19th Oct |
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7 |
w/b
Mon 26th Oct |
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C/W 1 Sun 1st Nov 23:59pm
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8 |
w/b
Mon 2nd Nov |
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9 |
w/b
Mon 9th Nov |
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10 |
w/b
Mon 16th Nov |
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11 |
w/b
Mon 23rd Nov |
C/W Q+A |
Text as data |
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C/W 2 Sun 29th Nov 23:59pm |
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12 |
w/b
Mon 30th Nov |
to be used if necessary |
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C/W 3 Sun 6th
Dec 23:59pm |
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Where
the timeslot is empty, that means there will NOT be a lecture. However it would be best if you could
keep those slots free – I may have to use the Friday slot if and when
something comes up and I have to cancel the Thursday slot. Obviously I will try
to let you know as often as possible in advance. Also occasional Friday slots might be
used for brief coursework vivas.
The assessment of this module is entirely by coursework. My aim in setting the coursework is to get you to learn about the essentials of data mining by working on real data and real issues that myself and/or my colleagues are currently working on. You will implement and use techniques that are in fact quite straightforward, but are nevertheless very important, and in fact these techniques are often misused or not used at all (but of course they should be) by data analysts in science and industry.
Coursework
Assignment 1: Worth 30%
Coursework
Assignment 2: Worth 40%
Coursework Assignment 3:
Worth 30%
Coursework Assignments A, B:
Worth 0% -- but you fail the module if you don't submit an adequate response to
each. For these courseworks, if I am not happy with
what you submit, I will ask you to improve it and resubmit it. This will
iterate if necessary until I think you have done it properly.
In
all cases: hand it in as a pdf
attachment in an email to dwcorne@gmail.com, with subject line the appropriate one of
these five: DMML CW1, DMML CW2, DMML CW3, DMML CWA, DMML
CWB