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Humanitarian Engineering and Data Science (IRDR0042)

Key information

Faculty
Faculty of Mathematical and Physical Sciences
Teaching department
Institute for Risk and Disaster Reduction
Credit value
15
Restrictions
N/A
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

The word humanitarian has been defined as “being concerned with or seeking to promote human welfare”. Engineering is the profession that translates science into technology.Datascience, also referring to engineering, is transforming the efficiency and effectiveness of humanitarian crises response, preparedness, and anticipation.Since human welfare isconnected to the promotion of human dignity and rights, humanitarian engineering anddata science refers to both short-term disaster relief (e.g., emergency response, humanitarian aid) and long-term human development (e.g., technological projects in developing countries).This module introduces students to a range of engineering anddata-science methods that are currently used in humanitarian action and human welfare. This module covers the fundamentals ofdata-driven engineering solutions and digitaldatascience in the era of bigdata. Students will be learning about the application of digitaldata, their limitations, and ethical considerations of using them in humanitarian and development contexts.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 Undergraduate (FHEQ Level 5)

Teaching and assessment

Mode of study
In person
Methods of assessment
70% Coursework
30% Viva or oral presentation
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
31
Module leader
Dr Roberto Gentile
Who to contact for more information
irdr-education@ucl.ac.uk

Last updated

This module description was last updated on 19th August 2024.