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Data Analytics in the Smart Built Environment (BENV0145)

Key information

Faculty
Faculty of the Built Environment
Teaching department
Bartlett School of Environment, Energy and Resources
Credit value
15
Restrictions
1. Familiarity/basic knowledge of the tidyverse and lubridate packages in R, especially when it comes to manipulating and pre-processing data for analysis as well as creating plots using the ggplot2 package. 2. Familiarity with statistics fundamentals: Sampling and Descriptive statistics, Correlation, Regression, Parametric testing. This module is available for students on MSc SEBE and limited spaces are reserved for students on MSc SREPT programmes. All optional module spaces will be allocated on a first-come first-served basis.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This optional module for students will enable you to develop their skills in data analytics, and how such methods may be applied to increasingly smart built environments. It builds on the basic statistical knowledge of introductory modules, such as the 鈥淚ntroduction to Smart Energy data and Statistics鈥�, targeting students aspiring to a role in the energy industry involving data analysis, and those with a special interest in more advanced methods in data management, analytics and programming.

This module will introduce a range of statistical methods, including machine learning, that can be applied to better understand energy and the built environment. The methods will be applied to smart energy data using RStudio to investigate topical issues, such as the use of data for technological (e.g. control) purposes, economic drivers (cost optimisation) and health issues (identifying potentially unhealthy environments).

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
100% Other form of assessment
Mark scheme
Numeric Marks

Other information

MyAV范 of students on module in previous year
29
Module leader
Dr Despina Manouseli
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 MyAV范, type 'climate' or 'sustainability' into the search. Visit Sustainable MyAV范 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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