All-provider course timetable
Monday 7 March 2011
09:00 |
Sustaining Peak Performance
Finished
Based on research in positive psychology, neuroscience and the characteristics of high achievers, you will learn how to use the tools and techniques designed to help people gain confidence and sustain peak performance. |
09:30 |
Administrators Development Programme
Finished
Application for this programme is by nomination by Head of Institution. Heads of Institutions will be invited to make nominations in August/September. |
Stress, Relaxation and Coping
Finished
|
|
Whether you’re new to presenting, looking to speak at your first conference, or wanting important tips to finesse your delivery or presenting to a wider audience, this is the course for you. The course is in two parts: The pre-workshop information covers: how to prepare an effective presentation: the essential questions that guide all good talks; different, appropriate methods to structure it; tips for making the most of powerpoint; ways to overcome nerves and present with confidence. As you go, you will apply this learning to create a 5 minute presentation. In the supportive environment of the face-to-face workshop, you will deliver your 5 minute talk to a group of 10 people in the morning. Later in the day you will receive 25 minutes 1-2-1 coaching with the trainer to work on one or more specific aspects of presenting, linked to the pre course material and the feedback you receive from the group. |
|
12:15 |
Understanding the brain is widely cited as being the most difficult task facing us today. Ultimately we want the combined knowledge from various approaches to provide us with insight into how nervous systems generate behaviours, and how we can intervene when it goes wrong. More than ever, critical analysis needs to be applied to neuroscience data. This critical ability is an essential component of any scientific training, yet it is often lost during the (relatively short) course of a PhD, where the focus is on generating data. This journal club is part of a series of sessions spread over the year. |
14:00 |
This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences. Module 4 introduces students to one of the most fundamental statistical techniques, namely regression analysis. Students learn about assumptions underlying regression models, how to run regression analysis using SPSS and how to access and solve possible problems with a regression model. |
Module 10:Time Series Analysis
Finished
This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences. The module introduces time series techniques relevant to forecasting in social science research and computer implementation of methods; covering time series regression; moving average; exponential smoothing, and decomposition. The study of applied work is emphasised in this non-specialist module. |
|
|
|
16:00 |
This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences. Module 4 introduces students to one of the most fundamental statistical techniques, namely regression analysis. Students learn about assumptions underlying regression models, how to run regression analysis using SPSS and how to access and solve possible problems with a regression model. |
This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences. Module 4 introduces students to one of the most fundamental statistical techniques, namely regression analysis. Students learn about assumptions underlying regression models, how to run regression analysis using SPSS and how to access and solve possible problems with a regression model. |
|
17:15 |
International Women's Day Lecture
Finished
Nadje Al-Ali, Professor of Gender Studies & Chair of the Centre for Gender Studies, SOAS, delivers the International Women’s Day Lecture. This is a free event, open to all. Please see below for contact information. |
Tuesday 8 March 2011
09:00 |
Stress: A Manager's Responsibility
Finished
|
Pressurised Gas and Cryogens
Finished
This course is for Post Grads, Post Docs and technicians and will cover: Safe storage and use of cryogens, safe use and stores of compressed gas, and aspects of oxygen depletion with respect to the above. |
|
09:30 |
The Cisco Certified Network Associate (CCNA) programme is open to University IT Supporters. It covers network technology, protocols and theory at deeper levels reflective of university practices. You will learn the basics of routing, switching, and advanced technologies to acquire the skills required to provide a robust and secure network in your institution and it prepares you for CCNA certification. We offer this program as instructor led with remote access to the curriculum and an online networks laboratory called NETLAB. There is a mix of lecture, demonstrations and a heavy emphasis on practical activities using live lab equipment and a simulation package. Further details and pricing information are available. This is the third module of four modules in the CCNA programme. Please book onto the first module Networking Fundamentals, to reserve your place for the programme. 1. Networking Fundamentals 2. LAN Switching and Wireless 3. Routing Protocols and Concepts 4. Accessing the WAN |
SPSS: Introduction for Beginners
Finished
SPSS is a powerful general purpose statistical package with high quality graphics and tabulation facilities, and a reputation for being relatively user-friendly. This course is for beginners. Basic concepts and use of SPSS will be introduced. The main aim of the course is to give participants a foundation and some background. However statistical techniques are not covered (see note below). |
|
10:00 |
|
10:30 |
7.30pm - 9.30pm Watch Afghan and Iranian dancing and listen to urban poet 'Realitie'. Taste food from around the world. Please note we are not taking bookings for this event, this page is for information only. |
12:00 |
|
13:30 |
Managing Disabled Staff
CANCELLED
|
14:00 |
What’s the viva like and how do you best prepare for it? What are the pitfalls? What happens if you are running out of time and funding? What are the submission deadlines and what do you do if you need an extension? How do you finish your thesis? What are the options open to you after you have completed? Aimed at students entering their 3rd year, this is your chance to discuss your concerns, have your questions answered and get advice from people who have been there, done that and got their doctorate! |
Aimed at 1st year PhD students this course is designed to get you thinking and working effectively on your end of first year report/CPGS. How do you start? What’s expected? How do you make it work for you? These and many other important questions, hints and tips will be addressed in this half day session. |
|
LaTeX is a powerful document description language built on top of TeX. It is available on Unix, Windows and Macintoshes. It can be used for the presentation of plain text (including accented characters and letters outside the English alphabet), the typesetting of mathematics, the generation of tables, and producing simple diagrams. It is particularly suited for the writing of theses, papers and technical documents. |
|
This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences. Module 4 introduces students to one of the most fundamental statistical techniques, namely regression analysis. Students learn about assumptions underlying regression models, how to run regression analysis using SPSS and how to access and solve possible problems with a regression model. |
|
What’s the viva like and how do you best prepare for it? What are the pitfalls? What happens if you are running out of time and funding? What are the submission deadlines and what do you do if you need an extension? How do you finish your thesis? What are the options open to you after you have completed? Aimed at students entering their 3rd year, this is your chance to discuss your concerns, have your questions answered and get advice from people who have been there, done that and got their doctorate! |
|
|
|
14:15 |
This two-part course will build on the simple style sheets produced in the introductory courses. The aim is to give you a full appreciation of how stylesheets work and how to work with them, and using them as an integral part of producing web pages and sites. |
16:00 |
Module 11: Multilevel Modelling
Finished
This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research. Students are introduced to multilevel modelling techniques (a.k.a. hierarchical linear modelling). MLM allows one to analyse how contexts influence outcomes ie do schools/neighbourhoods influence behaviour. STATA will be used during this module - there will be no overlap with other SPSS modules. No prior knowledge of STATA will be assumed. |
19:30 |
7.30pm - 9.30pm Watch Afghan and Iranian dancing and listen to urban poet 'Realitie'. Taste food from around the world. Please note we are not taking bookings for this event, this page is for information only. |