ATLAS.ti Training Workshop

Date:

11/12/2015

Organised by:

University of Surrey, Department of Sociology, Guildford, Surrey.

Presenter:

Dr. Christina Silver

Level:

Intermediate (some prior knowledge)

Contact:

Elizabeth Stutchbury 01483 689458 Daycourses@surrey.ac.uk

Map:

View in Google Maps  (GU2 7JP)

Venue:

Stag Hill Campus, University of Surrey, Guildford, Surrey.

Description:

This workshop is for researchers who have previously attended an introductory training workshop in ATLAS.ti and/or who have been using the software for a real project for some time. It is not an introductory workshop, but designed as a refresher to help researchers get going with their own data or to move on beyond the basic tasks, for those who have already started working with the software.   The day will comprise discussion, demonstration and hands-on work and combine group and individual work. We will provide reminders of early tasks to structure work efficiently and cover the more sophisticated tools and tasks as required. Participants may bring data and/or copies of their own software projects to work with during the day and there will be an opportunity for each participant to talk with Tutors about their own work. Participants will be asked ahead of time for information about their progress with software and the aspects for which they require support such that the workshop can be tailored specifically for those attending. The workshop is accompanied by relevant documentation, some of which will be provided ahead of time.

Cost:

This is a CAQDAS Networking Project event and is part of the South East Doctoral Training Centre (SEDTC) Advanced Training Scheme.

This means we can provide UK students with reduced fee places. Please note these places are limited so book early to avoid disappointment. Government/Commercial Sector - £195
Academic/ Charitable Sector - £150
All UK Students - £20
Non-UK Students - £150

Website and registration:

Region:

South East

Keywords:

Data Quality and Data Management

Related publications and presentations:

Data Quality and Data Management

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