Скачать или смотреть Introduction to Smart Energy Data and Statistics module explainer

In this video Dr Despina Manouseli introduces the module she will lead for UCL's new Smart Energy and the Built Environment MSc called 'Introduction to Smart Energy Data and Statistics'.

Find out about the Master's at www.ucl.ac.uk/bartlett/energy/sebe

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. Students 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.