University Course Planner The University of Adelaide Australia

COMP SCI 7417 - Applied Natural Language Processing

Career: Postgraduate Coursework
Units: 3
Term: 4210
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

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Student Status

Domestic
International

What type of place are you studying in

Commonwealth supported
Full fee paying

Study Level

Undergraduate
Postgraduate Coursework
Non Award

Program of Study

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.

Units
EFTSL
Amount
3
0.125
          
  


Course Outline

A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here


Critical Dates

Term Last Day to Add Online Census Date Last Day to WNF Last Day to WF
4210 Tue 15/03/2022 Thu 24/03/2022 Fri 06/05/2022 Fri 10/06/2022


Class Details

Enrolment Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
10108 LE01 100 44 28 Feb - 4 Apr Monday 10am - 12pm MyUni, OL, Online Class
25 Apr - 30 May Monday 10am - 12pm MyUni, OL, Online Class
Note: This lecture is live-streamed and recorded. You have the option of participating during the live-streaming session, or viewing any time after publication in MyUni. Please check MyUni for details once enrolled.
Related Class: Workshop
Class Nbr Section Size Available Dates Days Time Location
10109 WR02 50 31 8 Mar - 8 Mar Tuesday 12pm - 1pm Barr Smith South, 2060, Teaching Room
22 Mar - 22 Mar Tuesday 12pm - 1pm Barr Smith South, 2060, Teaching Room
5 Apr - 5 Apr Tuesday 12pm - 1pm Barr Smith South, 2060, Teaching Room
3 May - 3 May Tuesday 12pm - 1pm Barr Smith South, 2060, Teaching Room
17 May - 17 May Tuesday 12pm - 1pm Barr Smith South, 2060, Teaching Room
31 May - 31 May Tuesday 12pm - 1pm Barr Smith South, 2060, Teaching Room
Note: This class is only available for face-to-face (on-campus) students.
10110 WR01 50 29 11 Mar - 11 Mar Friday 11am - 12pm Barr Smith South, 1063, Teaching Room
25 Mar - 25 Mar Friday 11am - 12pm Barr Smith South, 1063, Teaching Room
8 Apr - 8 Apr Friday 11am - 12pm Barr Smith South, 1063, Teaching Room
6 May - 6 May Friday 11am - 12pm Barr Smith South, 1063, Teaching Room
20 May - 20 May Friday 11am - 12pm Barr Smith South, 1063, Teaching Room
3 Jun - 3 Jun Friday 11am - 12pm Barr Smith South, 1063, Teaching Room
Note: This class is only available for face-to-face (on-campus) students.
20168 WR03 50 34 8 Mar - 8 Mar Tuesday 1pm - 2pm MyUni, OL, Online Class
22 Mar - 22 Mar Tuesday 1pm - 2pm MyUni, OL, Online Class
5 Apr - 5 Apr Tuesday 1pm - 2pm MyUni, OL, Online Class
3 May - 3 May Tuesday 1pm - 2pm MyUni, OL, Online Class
17 May - 17 May Tuesday 1pm - 2pm MyUni, OL, Online Class
31 May - 31 May Tuesday 1pm - 2pm MyUni, OL, Online Class
Note: This class is for offshore / interstate students only. Where this requirement is not met, students risk being removed from this class. Please refer to MyUni for details once enrolled.