College of Social Sciences and International Studies
Data Visualisation
Module SOCM029 for 2020/1
Module SOCM029 for 2020/1
- Overview
- Aims and Learning Outcomes
- Module Content
- Indicative Reading List
- Assessment
Postgraduate Module Descriptor
SOCM029: Data Visualisation
This module descriptor refers to the 2020/1 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:
- Course Introduction, Terminology
- Introduction to R. Types of data
- Main principles of data visualization
- Types of statistical graphics
- Cleaning and preparing data for visualisations. The package dplyr.
- Basic Charts and Plots, Multivariate Data Visualization
- The package ggplot2: structure of plots and commands
- Principles of Perception, Color, Design, and Evaluation
- Text Data Visualization
- Temporal Data Visualization
- Geospatial Data Visualization
- Network Data Visualization
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 hours in total | 10 x 2 hour lectures and labs .These lectures cover the main concepts of the course. These practical sessions cover the application of techniques |
Independent study | 60 hours | Reading and preparing for lectures and labs (around 4-6 hours per week); |
Independent study | 70 hours | researching and writing assessments and assignments (researching, planning and writing the course work). |
Online Resources
This module has online resources available via ELE (the Exeter Learning Environment).
http://r4ds.had.co.nz/data-visualisation.html