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MSc CSML Induction Timetable 2010
Welcome to the Department of Computer Science!
All MSc CSML Students will take the Statistics Foundation Course, which begins on Monday 20th September 2010. Lectures begin on Monday 4th October 2010. Please see below for further details or email us if you have any questions.
Contents
Schedule for new Students |
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Registration for new students begins on Monday 20th September 2010 at 10.45am in Room 6.12, Malet Place Engineering Building, Gower Street, London, WC1E 6BT.
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Joining UCL Action checklist |
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Check that you have done everything you need to do to prepare for university.
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Map of UCL Main Campus |
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Including how to get to Department of Computer Science, (Malet Place Engineering Building)
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Useful Links |
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Links to the following: Accommodation, Careers, Financial, Health, Sports and Welfare Information.
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Schedule for new MSc CSML Students
Please Note: On the first day of induction, you should come to the Department of Computer Science which is in the Malet Place Engineering Building (MPEB). Room 6.12 is on the 6th Floor of the MPEB. Click here for directions to the Department of Computer Science.
After initial registration on the Monday morning, the majority of lectures will be held in the Statistics Department, 1-19 Torrington Place. Click here for directions to the Department of Statistics.
The foundation course will consist of sessions as indicated below. These sessions will be based mainly on the books Mathematical Statistics and Data Analysis by J A Rice and Introduction to Probability Models by S M Ross. Students should all have a copy of the former. Most sessions will consist of an informal introductory revision lecture, individual exercises and/or group discussion of examples.
Morning sessions are from 10AM - 1PM with a break at about 11-11.30AM. Afternoon sessions will generally be from 2.30PM - 5PM with a break at 3.30 - 4PM.
Sessions will be in the Galton LT (Room 115) unless otherwise arranged. We will arrange to have refreshments available in room 146 of the Statistics Department in the first week.
Please make sure you are on time to avoid missing important information.
| Monday 20th September 2010 |
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10.45–12.00
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MPEB 6.12 |
Sign up with the Computer Science Department (with Rebecca Martin, Course Administrator)
Welcome and Course Information (with Dr David Barber, Course Director)
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14.30-17.00
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Galton LT
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Probability and Random Variables, Ch 1-2 -
Paul Northrop
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| Tuesday 21st September 2010 |
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10.00-13.00
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Galton LT |
Joint and Conditional distributions and expectations, Ch 3-5
- Yvo Pokern
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14.30-17.00 |
Galton LT |
Joint and Conditional distributions and expectations, Ch 3-5 (cont) -
Afzal Siddiqui
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| Wednesday 22nd September 2010 |
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09.30-10.00 | |
Enrolment with UCL
http://www.ucl.ac.uk/new-students/enrolment
Note that this slot is earlier than the one sent to you by UCL. We suggest you enrol here so you have your ID card as soon as possible. All students need to bring their passports as proof of ID in order to enrol. Non UK/EU students should also bring copies of their passports and visa for the Registry to keep. |
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14.30-17.00 |
Galton LT |
Review of outstanding problems in Ch 1-5. Normal Theory and applications, Ch. 6 - Tom Fearn
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| Thursday 23rd September 2010 |
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10.00-13.00 |
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Methods of Estimation, Ch 8.1-8.5
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15.30-17.00 |
Galton LT |
Descriptive Statistics, Ch. 10 - Christian Hennig
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| Friday 24th September 2010 |
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14.00-17.00
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Location TBC |
R Session - G3 Workshop 1
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| Monday 27th September 2010 |
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10.00–13.00
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Galton LT |
Introduction to significance tests, Ch 11.2, 11.3 -
Alex Beskos
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14.30-16.00
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Galton LT |
Categorical data and x2 - tests. Ch 13.1 - 13.4 -
Tom Fearn
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16.30-18.00
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Galton LT
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Department of Statistics Postgraduate Party
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| Tuesday 28th September 2010 |
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10.00–13.00
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Galton LT
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Bayesian Workshop Ch 15.3 - Ricardo Silva
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13.30-14.00
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MPEB 1.02
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Health and Safety Talk, Dave Twistleton
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14.30-17.00
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Galton LT
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Simple Linear Regression and least squares, Ch. 14.1-14.2 - Giampiero Marra
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| Wednesday 29th September 2010 |
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09.00-10.30 |
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Introduction to Unix Lecture
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11.00-13.00
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MPEB 4.06 |
Lab Practice Session
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Meet Staff and Students at the CS welcome party! |
15.30-17.00
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The Gallery , ULU
(1st floor of ULU) |
Computer Science Welcome Party
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| Thursday 30th September 2010 |
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10.00-13.00 |
Galton LT |
Introduction to Stochastic Processes - Valerie Isham
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UCL Systems Induction (This is a suggested session time, you can attend any session in spare time you have on 28th, 29th and 30th September. More information will be in your induction packs)
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14.30-17.00 |
Galton LT |
Poisson Processes and Further Applied Probability - Hilde Herbots
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| Friday 1st October 2010 |
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10.00–12.00
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Galton LT |
Problem Class
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12.00–13.00
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Bloomsbury Theatre |
Graduate School Welcome
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10.30-16.00 |
Wilkins Building North Cloisters |
Freshers’ Fayre
Clubs, societies and local and national businesses will all be there, vying for your attention. This is a great chance to get to know what's available to you as a student at UCL
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13.00-15.00
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MPEB 8.06
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An individual meeting with David Barber to discuss how you have found the fortnight. Timeslots will be allocated when you arrive.
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TIMES AND LOCATIONS MAY BE SUBJECT TO CHANGE WITHOUT NOTICE
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Joining
UCL Action Checklist
The following links provides information on everything you will need to prepare for before joining UCL.
http://www.ucl.ac.uk/transition/joining
http://www.ucl.ac.uk/new-students/
UCL runs an orientation programme for International Students - more information is available at http://www.ucl.ac.uk/prospective-students/international-students/when-you-are-at-ucl/isop
Map of UCL Main Campus and Computer Science Department, (click map to zoom)
The Department of Computer Science is located in the Malet Place Engineering Building - Section C4 and C5 on the Map below
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Also see:
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Useful Links
The UCL webpages for current students provide useful links to a variety of services including Accommodation, Careers, Financial, Health, Sports and Welfare.
http://www.ucl.ac.uk/silva/current-students
Department of Computer Science, UCL (University College London)
Gower Street, London WC1E 6BT, UK
Phone: 020 7679 7214 (+44 20 7679 7214)
Fax: 020 7387 1397 (+44 20 7387 1397)
Images provided courtesy of UCL Media Resources
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+44 (0)20 7679 7214 - Copyright © 1999-2005
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