Introduction to Smart Energy Data and Statistics (BENV0142)

Key information

Faculty: Faculty of the Built Environment
Teaching department: Bartlett School of Environment, Energy and Resources
Credit value: 15

Restrictions: This module is compulsory for students taking MSc Smart Energy and the Built Environment only.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

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.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study: In person
Methods of assessment: 100% Exam
Mark scheme: Numeric Marks

Other information

Number of students on module in previous year: 33
Module leader: Dr Virginia Gori
Who to contact for more information: bseer-studentqueries@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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Useful links

Sustainability

For a list of modules related to climate change as well as social and environmental sustainability at UCL, type 'climate' or 'sustainability' into the search. Visit Sustainable UCL for information on extra-curricular activity on sustainability.

Important information

The catalogue has been updated with key information about the modules that will run during the 2024/25 academic session. Current and prospective students can browse through the catalogue to consider possible module choices for the coming year.

Please note,听information in the catalogue is听subject to change as teaching and assessment arrangements for 2024/25 may need to be adjusted in line with the University's Feedback and Assessment principles and operating model.

Centrally managed exam durations will be provided on students' individual exam timetables. Arrangements for locally managed exams and in-class activity will be confirmed by the teaching department for the module.

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