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Natural Language Processing (MSIN0221)

Key information

Faculty
Faculty of Engineering Sciences
Teaching department
¹û¶³Ó°Ôº School of Management
Credit value
15
Restrictions
This module is restricted to MSc Business Analytics students.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

With applications ranging from code and text generation to language translation, Natural Language Processing (NLP) is a core Artificial Intelligence (AI) technology. Given the vast amounts of unstructured text data available (such as the internet) and following recent performance breakthroughs driven primarily by contextual representations and the transformer architecture, a solid understanding of NLP and its applications has become essential.

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This module provides a thorough introduction to NLP ranging from an understanding of common tasks, linguistic phenomena and featurisation methods to cutting-edge transformer-based neural architectures that underly recent cutting edge Large Language Models (LLMs) such as GPT3 and ChatGPT.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 ÌýÌýÌý Undergraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
40% Coursework
60% Other form of assessment
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
0
Who to contact for more information
mgmt-postgraduate@ucl.ac.uk

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

Teaching and assessment

Mode of study
In person
Methods of assessment
40% Coursework
60% Other form of assessment
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
90
Who to contact for more information
mgmt-postgraduate@ucl.ac.uk

Last updated

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

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