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COMP SCI 7317OL - Using Machine Learning Tools PG

Career: Postgraduate Coursework
Units: 3
Term: 4263
Campus: Online
Contact: Up to 3 hours per week
Restriction: Only available to students in the Master Data Sci. (Applied) (OL).
Available for Study Abroad and Exchange:
Available for Non-Award Study: No
Pre-Requisite: Carousel 2 Courses: COMP SCI 7211OL, DATA 7301OL, DATA 7302OL & MATHS 7027OL
Assumed Knowledge: Programming experience
Assessment: Assignments and quizzes
Syllabus:

In this course, the students will learn about the fundamentals of machine learning and how to utilise and apply some of the most commonly used tools. The students will learn how to create software that allows the use of pre-existing toolkits when appropriate in order to solve a variety of machine learning problems. The course will have a strong practical component, with case studies and worked examples being used to emphasise the importance of legitimate and verifiable solutions.

Course Fees

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Student Status

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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
4263 Fri 22/04/2022 Fri 20/05/2022 Mon 06/06/2022 Mon 20/06/2022


Class Details

Enrolment Class: Workshop
Class Nbr Section Size Available Dates Days Time Location
63004 01OL 300 287 This class does not have any timetabled face-to-face sessions. Please check MyUni or contact your Course Coordinator for details.