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Probability, Statistics and Modelling II (SECU0013)

Key information

Faculty
Faculty of Engineering Sciences
Teaching department
Security and Crime Science
Credit value
15
Restrictions
This module is restricted to students of the Department of Security and Crime Science.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module equips students with the knowledge needed to understand and critically evaluate crime and security research, as well as the skills required to analyse and learn from data. Building on the PSM I module, students get to know the generalised linear model with various link functions, including linear, binary logistic, multinomial logistic, ordinal logistic, and count models. You can only learn statistics by doing statistics. This means that this course will focus on statistical inference, intuition, and interpretation. It will also teach students how to use the statistical programme R for statistical modelling. This module consists of main lectures, supplementary lectures, and tutorials. The main lectures cover statistical concepts and show what they mean and how to apply them to research questions. The tutorials help you put these concepts into practice using the statistical software R. Finally, the supplementary lectures provide deep dives into topics that are pertinent to applied data analysis (such as how to analyse surveys or missing data) and ethical research practices (such as 鈥減-hacking鈥 and pre-registration).

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 听听听 Undergraduate (FHEQ Level 5)

Teaching and assessment

Mode of study
In person
Methods of assessment
50% Fixed-time remote activity
50% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
48
Module leader
Dr Krisztian Posch
Who to contact for more information
scs-teaching@ucl.ac.uk

Last updated

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