Analytics for Decision Making
Undergraduate
Undergraduate
INFS 3075
Undergraduate
Yes
Note: This offering may or may not be scheduled in every study period. Please refer to the timetable for further details.
164481
4.5
No
UniSA STEM
To provide an overview of the tools and techniques of data analytics, and how these can be used by an organisation. To introduce and use some of the common tools for analysis.
Introduction to data-driven decision making, associated challenges and ethical considerations. Neural networks: classification problems, error functions, gradient descent, cross-entropy etc. Image analysis: image processing, manipulation, segmentation etc. Convolutional Neural Networks: introduction to CNNs, convolutional layers, stochastic gradient descent, network architectures. Time series analysis. Programming: Python.
Nil
Common to all relevant programs | |
---|---|
Subject Area & Catalogue Number | Course Name |
MATH 1054 | Calculus 1 |
Nil
Component | Duration | ||
---|---|---|---|
INTERNAL, MAWSON LAKES | |||
Lecture | 1 hour x 13 weeks | ||
Computer Practical | 1 hour x 12 weeks | ||
Seminar | 1 hour x 12 weeks | ||
INTERNAL, CITY WEST | |||
Lecture | 1 hour x 13 weeks | ||
Computer Practical | 1 hour x 12 weeks | ||
Seminar | 1 hour x 12 weeks | ||
EXTERNAL, MAWSON LAKES, ONLINE | |||
External | N/A x 13 Weeks |
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Case study, Programming exercise
EFTSL*: 0.125
Commonwealth Supported program (Band 2)
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Fee-paying program for domestic and international students
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Non-award enrolment
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* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.