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This unit will be a core elective in the Master of Artificial Intelligence to be introduced in 2020.
Natural language processing (NLP) technologies underpins many AI empowered technologies. This unit introduces core NLP techniques as well as important NLP applications. This unit provides the course graduates with valuable skills and prepares them for job opportunities in this rapidly growing field.
18/09/2020 - Admin: Update to include new assessment and teaching approach fields as per Handbook requirements.
Upon successful completion of this unit students should be able to:
020119 Artificial Intelligence
Natural language processing (NLP) is one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of artificial intelligence. This unit introduces fundamentals of NLP. It covers techniques for the analysis of words, sentences, and documents as well as applications including information extraction, and question answering.
Examination (2 hours): 60%, In-semester assessment: 40%
Minimum total expected workload equals 12 hours per week comprising:
A minimum of 8 hours per week of personal study for completing lab/tutorial activities, assignments, private study and revision.
2020
Clayton
09 Apr 2019 | Jeanette Niehus | New unit proposal. |
10 Apr 2019 | Jeanette Niehus | modified UnitContent/ASCED |
10 Apr 2019 | Jeanette Niehus | |
12 Jun 2019 | Jeanette Niehus | FIT5217 Chief Examiner Approval, ( proxy school approval ) |
12 Jun 2019 | Jeanette Niehus | FEC Approval |
12 Jun 2019 | Jeanette Niehus | FacultyBoard Approval - Approved at FEC 2/19, 17/4/2019 |
18 Sep 2020 | Joshua Daniel | modified ReasonsForIntroduction/RChange; modified UnitContent/PrescribedReading; modified Assessment/Summary |
This version:
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