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Module SSIM905 for 2017/8
- Overview
- Aims and Learning Outcomes
- Module Content
- Indicative Reading List
- Assessment
Undergraduate Module Descriptor
SSIM905: Mathematics and Programming Skills for Social Scientists
This module descriptor refers to the 2017/8 academic year.
Module Content
Syllabus Plan
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 |
|---|---|---|
| 25 | 125 | 0 |
...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 |
Online Resources
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
