COMP 7023 Predictive Analytics

Credit Points 10

Legacy Code 301495

Coordinator Rosalind Wang Opens in new window

Description The information age has allowed business and science to take advantage of the vast amount of available data for predicting outcomes and estimating trends, to make informed decisions. Machine learning is the process of allowing a computer to learn from data, which at its heart is used in making these important decisions. This subject provides students with the knowledge and practice required to implement and effectively use these predictive models such as Neural Networks and Support Vector Machines, and provides opportunity for students to investigate state-of-the-art. Students will use the Python programming language throughout this subject.

School Computer, Data & Math Sciences

Discipline Computer Science

Student Contribution Band HECS Band 2 10cp

Check your fees via the Fees page.

Level Postgraduate Coursework Level 7 subject

Equivalent Subjects MATH 7011 Predictive Analytics

Assessment

The following table summarises the standard assessment tasks for this subject. Please note this is a guide only. Assessment tasks are regularly updated, where there is a difference your Learning Guide takes precedence.

Type Length Percent Threshold Individual/Group Task
Quiz 2 x 1 hour 20 N Individual
Viva Voce 20 minutes 20 Y Individual
Applied Project 2,000 words 10 N Group
Applied Project 2,000 words report and a 15min presentation 50 N Group

Teaching Periods

Spring (2023)

Parramatta - Victoria Rd

On-site

Subject Contact Rosalind Wang Opens in new window

View timetable Opens in new window

Spring (2024)

Parramatta - Victoria Rd

On-site

Subject Contact Rosalind Wang Opens in new window

View timetable Opens in new window