Key information
- Faculty
- Faculty of the Built Environment
- Teaching department
- Bartlett School of Environment, Energy and Resources
- Credit value
- 15
- Restrictions
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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.
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%
Group activity
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
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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 19th August 2024.
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