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.
This year's Open Access modules are:
Introduction to ethical issues in the arts and humanities
Qualitative Research in Practice
Longitudinal Data Analysis
Computer-Assisted Qualitative Data Analysis
Agent Based Modelling (with Netlogo)
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: Thursday 10 October 2019, 10am - 12pm AND 2pm - 4pm Friday 11 October, 10am - 12pm AND 2pm - 4pm |
Location: Kenneth Craik Room - Craik Marshall Building |
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Description: |
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You can see a short outline of the module here You can see a more detailed course outline on the Psychology Department website 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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Introduction to ethical issues in the arts and humanities |
Lecturer: Prof Ian Cross Faculty of Music |
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Date and Time: Friday 18 October, 11am - 1pm |
Location: Lecture Room 1, |
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Description: |
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This session provides a brief introduction to the types of ethical issues that can arise in research in the arts, humanities and social sciences. It sketches the fundamental issues that can give rise to the need for ethical review, explores how the idea of ethical review has been implemented and conceptualised, and presents a couple of case studies that illustrate how very different contexts of research can give rise to similar ethical concerns. |
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Booking arrangements: |
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This course is open to all. There is space for up to 30 attendees on a first-come-first-seated basis. |
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Computer-Assisted Qualitative Data Analysis |
Lecturer: Dr Anna Bagnoli Department of Sociology |
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Date and Time: Thursday 16 January, 10am - 12pm Thursday 23 January, 10am - 12pm |
Location: Titan Room 1, |
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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 SSRMP Administrator, Siobhan Hoffmann-Heap (ssrmp@hermes.cam.ac.uk) to book a place. |
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Longitudinal Data Analysis |
Lecturer: Prof Anna Vignoles Faculty of Education |
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Date and Time: NB. NEW DATE |
Location: Room - 1S4 |
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Description: |
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This introductory elective on longitudinal data and longitudinal methods of analysis is for those who want to know more about longitudinal data and research design, and how longitudinal data and research can be used to answer key policy questions. The session will introduce longitudinal research methods and longitudinal data, help students develop a better understanding of how longitudinal research can answer questions in a number of policy areas and will introduce the reader to a number of longitudinal studies. This elective is suitable for students with some understanding of regression analysis. |
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Booking arrangements: |
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This course has a maximum capacity of 30 students, so booking is essential. Prospective attendees should contact Christine Zwierzanski (cz215@cam.ac.uk) to book a place. |
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Agent Based Modelling
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Lecturer: Dr Mike Bithell Department of Geography |
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Date and Time: 18 February 2020, 2 - 4pm 25 February 2020, 2 - 4pm 3 March 2020, 2 - 4pm 10 March 2020, 2 - 4pm |
Location: The TOP Lab, Geography Department |
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Description: |
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Societies can be viewed as path-dependent dynamical systems in which the interactions between multiple heterogeneous actors, and the institutions and organisations they create, lead to complex overlapping patterns of change over different space and time-scales. Agent-based models are exploratory tools for trying to understand some of this complexity. They use computational methods to represent individual people, households, organisations, or other types of agent, and help to make explicit the potential consequences of hypotheses about the way people act, interact and engage with their environment. These types of models have been used in fields as diverse as Architecture, Archaeology, Criminology, Economics, Epidemiology, Geography, and Sociology, covering all kinds of topics including social networks and formation of social norms, spatial distribution of criminal activity, spread of disease, issues in health and welfare, warfare and disasters, behaviour in stock-markets, land-use change, farming,forestry, fisheries, traffic flow, planning and development of cities, flooding and water management. This course introduces a popular freely available software tool, Netlogo, which is accessible to those with no initial programming experience, and shows how to use it to develop a variety of simple models so that students would be able to see how it might apply to their own research. The moodle page is available here. You can see information on the Agent based modelling discussion group run by Mike Bithell here. |
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Booking arrangements: |
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This course has a maximum of 40 places. To book on to the course, you need to contact the Geography Graduate Administrator, Katrina Purser, at graduate.enquiries@geog.cam.ac.uk |
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