Open Access Modules:
Wider options offered by participating departments
Several of our participating departments open up some of their in-house postgraduate courses to limited numbers of students from other departments. These courses will be more discipline-specific than the SSRMP's core courses. Please bear in mind:
- These courses are part of the programme and timetable of the respective departments, not the SSRMP. As a result, they may not fit in with your departmental timetable.
- It is your responsibility to check with your Supervisor or course Director that they are happy for you to take open access courses.
- Only a limited number of places are available for external students. If you arrange to take an open access course, you must attend all the sessions - if you fail to attend, you may be taking the place away from someone else who wants it.
Booking for open access modules should be done directly with the host department following the instructions in the bookings sections below:
Practical Introduction to MATLAB Programming
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Lecturer: Dr Denes Szucs |
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Date and Time: Mon. 12th October and Tues. 13th October 2020, 10am-12pm and 2-4pm |
Location: Taught Online |
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Description: |
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Dénes Szűcs runs an 8-hour intensive course on MATLAB in Michaelmas term. The course focuses on practical plus hands-on variable handling and programming implementation rather than on theory. This course is intended for those who have never programmed before including those who only call/run Matlab scripts but are not familiar with how code works and how matrices are handled in Matlab. For more information on this course see here. |
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Booking arrangements: |
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This course has a maximum of 10 places available for SSRMP students. If you are not a member of the Department of Psychology, to book on to the course, you need to contact the SSRMP Administrator at ssrmp@hermes.cam.ac.uk If you are a student in the Department of Psychology, you need to email the Psychology Graduate Administrator Dawn Ellis at graduateoffice@psychol.cam.ac.uk |
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Computer-Assisted Qualitative Data Analysis |
Lecturer: Dr Anna Bagnoli Department of Sociology |
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Date and Time: Weds. 27 January & 3 February, 10am-12am |
Location: Online |
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Description: |
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The lectures will make an overview of the process of qualitative data analysis, introducing CAQDAS and the debates that have originated from the use of software in qualitative analysis practice. The sessions will provide a practical introduction to the Atlas.ti software and demonstration of its use in the analysis of a mixed-method qualitative project. |
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Booking arrangements: |
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This course has a maximum capacity of 5 SSRMP students, so booking is essential. Prospective attendees should contact the Sociology Graduate Administrator, Luthien Cangemi socgrad@hermes.cam.ac.uk, to book a place. |
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