Part 1:
The first part of this module equips students with a practical understanding of data visualisation, covering the full spectrum of contemporary capabilities required to master this subject. You will learn about the role of design thinking in the visual display of data, the importance of developing journalistic instincts, the rigours of handling and analysing data, and the scientific foundations of visual perception.


Part 2:
The second part of this module offers a technical introduction to data visualisation, starting with an exploratory phase, using Python Jupyter notebooks in conjunction with Pandas and the Matplotlib/Seaborn charting ecosystem to find interesting stories and correlations in your datasets.
With these nuggets of data gold to hand, in a presentational phase key charts and visualisations are selected, some of which will be incorporated in a web presentation. Python's Plotly library is demonstrated, allowing a wide range of interactive charts and maps (in conjunction with the powerful Mapbox suite) to be generated in the notebooks and transferred to a web-page.
We will cover the basic web development skills required to create a web based data visualisation and introduce the basics of D3, the powerhouse data visualisation library for the web.

This module provides an understanding of key issues and applied methodologies relating to Project Management and Dynamic Scheduling. As such the content of...

This module provides an understanding of key issues and applied methodologies relating to Project Management and Dynamic Scheduling. As such the content of this module provides the essentials a project manager should have when faced with preparing the work necessary for managing and controlling projects in progress.

The focus is on integrating scheduling, risk analysis and control to set up a project management and control system using the available tools and techniques and best practices. The framework for Project Management is analysed in the context of providing managers with the information they need to be able to plan and control projects. The emphasis is on making well-informed decisions of projects in progress by monitoring their performance and predicting their final expected timing and costs.

The module consists of five integrative case studies from different sectors, and make use of project examples such as vaccination programmes, nature conservation and development of electronic equipment.