Global|Prosperity|Case Studies|Grand Challenges|Sustainable Development Goals|SDG|Transitions

Module Content

In Pathways to Prosperity 2: Society and Livelihoods, you will explore ways in which we can respond to (or attempt to resolve) the challenges...

Pathways to Prosperity 2: Society and Livelihoods (BGLP0003)

Descriptive Statistics|Probability|Visualizations|Hypothesis testing|Internet of Things

The first aim of the module is to introduce the scientific theory and application of statistical analysis to smart energy data. Data visualization, sampling...

Introduction to Smart Energy Data and Statistics (BENV0142)

The first aim of the module is to introduce the scientific theory and application of statistical analysis to smart energy data. Data visualization, sampling methods and hypothesis testing are presented, followed by inferential statistics such as parametric t-tests and analysis methods ranging from descriptive statistics to correlation and multivariate analysis using RStudio. You will learn to carry out simple data analysis tasks using energy related data, an essential skill for any career path in the Smart Energy sector. The module also introduces students to how the Internet of Things technologies, combined with energy data monitoring and control technologies, may be applied in the built environment. Their increasingly important role in reducing costs and increasing efficiency and customer satisfaction is discussed. The module assumes no prior knowledge of Statistics.

This module foregrounds the lived experience of practitioners, professionals, researchers, patients and members of the community more generally. It will...

Lived Experience in Policy, Practice and Research (BASC0051)

This module foregrounds the lived experience of practitioners, professionals, researchers, patients and members of the community more generally. It will comprise a series of two-hour seminars bringing in a broad range of contributors with a variety of different experiences and perspectives.

These seminars will inform the students; in producing their three assessable outputs: a journal, logging the weekly workshops, a podcast and summer conference. The conference will take place towards the end of term 3, will be organised by the students, with invited speakers and 3-4 short talks from other programme contributors.

This module is taught on the UCL EAST campus in Stratford.