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Hobart, Launceston

Introduction

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Summary %globals_context%

Unit name Artificial Intelligence and Natural Language
Unit code KIT719
Credit points 12.5
Faculty/School College of Sciences and Engineering
School of Information and Communication Technology
Discipline Information & Communication Technology
Coordinator %asset_metadata_unit.Coordinator%
Level %asset_metadata_unit.Level%
Available as student elective? %asset_metadata_unit.AvailableAsElective_value^empty:No%
Breadth Unit? %asset_metadata_unit.IsBreadthUnit_value%

Availability

Note

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About Census Dates

Learning Outcomes

1

Be able to describe the principle of NLP processes, methods and the applications of NLP in real applications. related AI methods in NLP.

2

Be able to explain the linkage between AI and NLP. Be able to adopt suitable AI methods which can be embedded in NLP and text mining approaches.

3

Adopt methodologies, tools, research skills and techniques for the processing, analysing and mining of natural language data.

4

Analyse user needs and incorporate them into the selection, creation, adaption and evaluation of appropriate NLP and text mining methods to support decision making.

Fees

Teaching

Teaching Pattern

1 x 60 min lecture weekly, 1 x 120 min workshop weekly

Assessment

AT1 - Project proposal (20%)

AT2 - Project (25%)

AT3 - Tutorial tasks (15%)

AT4 - 2-hour exam (40%)

TimetableView the lecture timetable | View the full unit timetable

Textbooks

RequiredNone

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