COMP SCI 7417 - Applied Natural Language Processing
| Career: | Postgraduate Coursework |
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| Units: | 3 |
| Term: | Semester 1 |
| Campus: | North Terrace |
| Contact: | Up to 3 hours per week |
| Available for Study Abroad and Exchange: | |
| Available for Non-Award Study: | No |
| Pre-Requisite: | (COMP SCI 7210 and COMP SCI 7211) or COMP SCI 7201; M. Computer Science students are exempted from this pre-requisite. |
| Assumed Knowledge: | MATH 7027 and (COMP SCI 7317 or COMP SCI 7327 or MATH 7107) |
| Assessment: | Individual assignments, quizzes and mini projects |
| Syllabus: |
This course examines machine learning techniques that obtain leading results on the problem of natural language processing (NLP). NLP is a critical step towards effective communication between people and machines. The course teaches how to represent words and text and use both classical and modern machine learning models and Generative AI for text understanding, prediction and generation. This will be reinforced by applying NLP tools to solve practical problems through examples, workshops and projects. |
Course Fees
Study Abroad student tuition fees are available here
Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.
The fees displayed below for international students are for students commencing a program in 2024 only. International students who commenced a program in 2023 or prior can find their fee here.
| EFTSL | |||
|---|---|---|---|
| 0.125 | |||
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Course Outline
A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here
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Critical Dates
| Term | Last Day to Add Online | Census Date | Last Day to WNF | Last Day to WF |
|---|---|---|---|---|
| Semester 1 | Tue 12/03/2024 | Thu 21/03/2024 | Fri 03/05/2024 | Fri 07/06/2024 |
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Class Details
| Enrolment Class: Lecture | |||||||
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| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 10065 | LE01 | 150 | 94 | 28 Feb - 3 Apr | Wednesday | 11am - 1pm | Helen Mayo Nth, 103N, Florey Lecture Theatre |
| 24 Apr - 5 Jun | Wednesday | 11am - 1pm | Helen Mayo Nth, 103N, Florey Lecture Theatre | Note: For an enriching and interactive learning experience, it is highly recommended to attend the lecture in person. While the lecture will be recorded, it is primarily intended for review purposes and for individuals who cannot attend due to special circumstances. Please check MyUni for details once enrolled. | |||
| Related Class: Workshop | |||||||
| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 10066 | WR02 | 45 | 14 | 6 Mar - 6 Mar | Wednesday | 3pm - 4pm | Petroleum Engineering, G04, Teaching Room |
| 20 Mar - 20 Mar | Wednesday | 3pm - 4pm | Petroleum Engineering, G04, Teaching Room | ||||
| 3 Apr - 3 Apr | Wednesday | 3pm - 4pm | Petroleum Engineering, G04, Teaching Room | ||||
| 1 May - 1 May | Wednesday | 3pm - 4pm | Petroleum Engineering, G04, Teaching Room | ||||
| 15 May - 15 May | Wednesday | 3pm - 4pm | Petroleum Engineering, G04, Teaching Room | ||||
| 29 May - 5 Jun | Wednesday | 3pm - 4pm | Petroleum Engineering, G04, Teaching Room | ||||
| 11490 | WR03 | 80 | 55 | 7 Mar - 7 Mar | Thursday | 2pm - 3pm | Helen Mayo Sth, SG20, Teaching Room |
| 21 Mar - 21 Mar | Thursday | 2pm - 3pm | Helen Mayo Sth, SG20, Teaching Room | ||||
| 4 Apr - 4 Apr | Thursday | 2pm - 3pm | Helen Mayo Sth, SG20, Teaching Room | ||||
| 2 May - 2 May | Thursday | 2pm - 3pm | Helen Mayo Sth, SG20, Teaching Room | ||||
| 16 May - 16 May | Thursday | 2pm - 3pm | Helen Mayo Sth, SG20, Teaching Room | ||||
| 30 May - 6 Jun | Thursday | 2pm - 3pm | Helen Mayo Sth, SG20, Teaching Room | ||||
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