Courses / Module

ARTIFICIAL INTELLIGENCE & LANGUAGE PROCESSING

Module code: CS404
Credits: 5
Semester: 1
Department: COMPUTER SCIENCE
International:

	Overview
	A broad introduction to both AI and language processing. Defining intelligence, Turing's imitation game; Ethics, problem-solving, state-spaces, generate and test, game playing; two-player games, graph-searching; Optimisation strategies; biologically inspired computation. Text processing and parsing human languages, semantics and knowledge representation; overview of neural networks and deep learning, embeddings and Word2Vec, knowledge graphs, information retrieval, brief overview of reinforcement learning.

Overview

A broad introduction to both AI and language processing. Defining intelligence, Turing's imitation game; Ethics, problem-solving, state-spaces, generate and test, game playing; two-player games, graph-searching; Optimisation strategies; biologically inspired computation. Text processing and parsing human languages, semantics and knowledge representation; overview of neural networks and deep learning, embeddings and Word2Vec, knowledge graphs, information retrieval, brief overview of reinforcement learning.

	Learning Outcomes
	On successful completion of the module, students should be able to: Explain the underlying principles, advantages and limitations of the AI approaches to solving problems Demonstrate the application of artificial intelligence techniques to problem solving Describe AI algorithms with their application to a range of problem types Describe the concepts of modern AI different systems, explaining differences to classical techniques Assess the strengths and weaknesses of AI approaches to different problems Compare classical and embedding approaches to processing text Assess the impacts of representational alternatives for text-based information.

Learning Outcomes

Teaching & Learning methods

Assessment

	Autumn Supplementals/Resits
	Are supplemental/resit registrations permitted? Yes University scheduled written examination (Autumn): 120 minutes, On-campus

	Pre-Requisites
	CS211 or equivalent.

	Additional Reading
	�Artificial Intelligence: A Modern Approach�, Russell & Norvig, Pearson publisher

Timetable

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Courses / Module

ARTIFICIAL INTELLIGENCE & LANGUAGE PROCESSING

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