module
Undergraduate Module Descriptor
SSI3003: Data Analysis in Social Science 3
This module descriptor refers to the 2023/4 academic year.
Module Content
Syllabus Plan
Whilst the module’s precise content will vary from year to year, it is envisaged that the syllabus will cover some of the following themes:
- Data types and structures in R or Python
- Data import with readr and data.table / pandas
- Data manipulation with dplyr / pandas
- Data visualisation with ggplot2 / matplotlib
- Iteration
- Functions
- Reproducible research and effective presentation of statistical results
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 |
|---|---|---|
| 22 | 128 | 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 Activity | 22 | 11 x 2 hour lectures / computer lab sessions |
| Guided independent study | 78 | Reading and preparation for lectures and lab sessions |
| Guided independent study | 50 | Data analysis and writing of the data report |
Online Resources
This module has online resources available via ELE (the Exeter Learning Environment).