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Module POLM030 for 2019/0
- Overview
- Aims and Learning Outcomes
- Module Content
- Indicative Reading List
- Assessment
Postgraduate Module Descriptor
POLM030: Mathematics and Programming Skills for Policy Analytics
This module descriptor refers to the 2019/0 academic year.
Module Content
Syllabus Plan
Whilst the module’s precise content and order of syllabus coverage may vary, it is envisaged that it will include the following topics:
Introduction to R
Data management in R
Data Analysis in R
Linear Algebra
Sets and Functions
Probability
Optimisation
Web scraping and data retrieval with Python
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 |
|---|---|---|
| 20 | 130 | 0 |
...and this table provides a more detailed breakdown of the hours allocated to various study activities:
| Category | Hours of study time | Description |
|---|---|---|
| Lectures with lab | 20 | 10 x 2 hours of lectures and labs. These lectures cover the main concepts of the course. Sessions will sometimes include group and lab work. |
| Independent study | 130 | A variety of independent study tasks directed by module leader. These tasks may include (with an indicative number of hours): Assigned readings (40 hours) Preparation for and completion of practical assessments (60 hours) Practicing techniques used in computer tutorials (30 hours) |
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
