STAT5009 (v.1) Decision Methods and Predictive Analytics
Area: | School of Elec Eng, Comp and Math Sci (EECMS) |
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Credits: | 25.0 |
Contact Hours: | 3.0 |
TUITION PATTERNS: | The tuition pattern provides details of the types of classes and their duration. This is to be used as a guide only. Precise information is included in the unit outline. |
Lecture: | 1 x 2 Hours Weekly |
Computer Laboratory: | 1 x 1 Hours Weekly |
Prerequisite(s): |
Admission into
MC-PREDAN (v.3)
Master of Predictive Analytics
or any previous version
OR Admission into GD-PREDAN (v.2) Graduate Diploma in Predictive Analytics or any previous version OR Admission into GC-PREDAN (v.2) Graduate Certificate in Predictive Analytics or any previous version |
UNIT REFERENCES, TEXTS, OUTCOMES AND ASSESSMENT DETAILS: | The most up-to-date information about unit references, texts and outcomes, will be provided in the unit outline. |
Syllabus: | Predictive Analytics is a suite of tools for data analysis which are used in business, industry and government to predict individual outcomes for customers or clients. For example, when a hospital is considering whether to discharge a patient, the risk that the patient might suffer a relapse could be assessed objectively, by analysing the histories of similar patients in the hospital records. This unit gives a detailed treatment of the principles and techniques of Predictive Analytics including both advanced statistical methods and machine learning methods. Practical experience with these methods is provided using free open-source software. |
Field of Education: | 010103 Statistics |
Result Type: | Grade/Mark |
Availability
Year | Location | Period | Internal | Partially Online Internal | Fully Online |
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2021 | Bentley Perth Campus | Semester 1 | Y |
Partially Online Internal refers to some (a portion of) learning provided by interacting with or downloading pre-packaged material from the Internet but with regular and ongoing participation with a face-to-face component retained. Excludes partially online internal course/units run through the Curtin Bentley-based Distance Education Area which remain Central External
Fully Online refers to the main (larger portion of) mode of learning provided via Internet interaction (including the downloading of pre-packaged material on the Internet). Excludes online course/units run through the Curtin Bentley-based Distance Education Area which remain Central External
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