Postgraduate Module Descriptor
SSIM905: Mathematics and Programming Skills for Social Scientists
This module descriptor refers to the 2022/3 academic year.
This course is delivered via three full-day sessions, one in each institution (Bath, Bristol and Exeter) plus pre-reading delivered online in advance of each full-day session. Additional computer lab sessions also take place within ‘home’ institutions to prepare the coursework. The main topics covered are programming statistical and graphical techniques using R; dynamic programming and coding using Python; multi-level modelling theory and application using MLwiN. Each day-long session will involve lectures outlining the theory behind a technique or the rudiments of a programming language, its application and use, along with practical sessions implementing the skills learned on a common dataset that will be used for each of the three day-long sessions and with each of the different computing packages.
Learning and Teaching
This table provides an overview of how your hours of study for this module are allocated:
|Scheduled Learning and Teaching Activities||Guided independent study||Placement / study abroad|
...and this table provides a more detailed breakdown of the hours allocated to various study activities:
|Category||Hours of study time||Description|
|Scheduled Learning and Teaching Activities||9||2 x 1.5 hour lectures in each full-day session These lectures cover the main concepts of the course.|
|Scheduled Learning and Teaching Activities||12||2 x 2 hour practical classes in the computer labin each full-day session: These practical sessions cover the application of techniques|
|Scheduled Learning and Teaching activities||4||2 x 2 hour additional practical classes in home institution outside of co-taught full-days.|
|Guided independent study||30||Reading the relevant literature discussed in class|
|Guided independent study||50||Reading and preparing materials for the research project that constitutes the modules summative assessment|
|Guided Independent Study||45||Acquiring additional experience with software and computing tools required to conduct the type of analyses discussed in class|
This module has online resources available via ELE (the Exeter Learning Environment).
Maths Refresher Course (Gary King) http://projects.iq.harvard.edu/prefresher
UK Data Services - https://www.ukdataservice.ac.uk
NCRM - http://www.ncrm.ac.uk