Warnings For All (HPSC0160)

Key information

Faculty: Faculty of Mathematical and Physical Sciences
Teaching department: Science and Technology Studies
Credit value: 15

Restrictions: N/A
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module brings together both academic and practitioner knowledge around what hazard warnings are, how they are designed, how they operate, and how to make warnings effective and actionable. This requires bringing a wide range of disciplines together that review disaster risk reduction for all natural hazards, science communication, science policy, understanding risk and uncertainly at scales from the local to the global. Whether warnings are technological, automated, community based, anticipatory, or responsive, this module explores the value of the people-centered warnings, and the need to create inclusive and multi-hazard warnings. Contemporary case studies will be explored throughout the course.

Module deliveries for 2024/25 academic year

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

Teaching and assessment

Mode of study: In person
Methods of assessment: 30% Viva or oral presentation

70% Dissertations, extended projects and projects
Mark scheme: Numeric Marks

Other information

Number of students on module in previous year: 42
Module leader: Professor Carina Fearnley
Who to contact for more information: sts-aa@ucl.ac.uk

Last updated

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

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Sustainability

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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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