DECISION SUPPORT SYSTEMS
CSE4DSS
2014
Credit points: 15
Subject outline
This subject covers the fundamental terms, concepts and theories associated with decision support systems (DSS), and provides practical experience in applying a range of current modelling and data analysis tools. Specific topics include: decision support systems and business intelligence; understanding the process of decision making; modelling and analysis techniques for decision support; data mining for business intelligence; text and web mining; artificial intelligence and expert systems for decision support; future directions in DSS.
Faculty: Faculty of Science, Tech & Engineering
Credit points: 15
Subject Co-ordinator: Andrew Skabar
Available to Study Abroad Students: Yes
Subject year level: Year Level 4 - UG/Hons/1st Yr PG
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: N/A
Co-requisites: N/A
Incompatible subjects: CSE41DSS
Equivalent subjects: CSE41DSS
Special conditions: N/A
Melbourne, 2014, Semester 1, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Andrew Skabar
Class requirements
Laboratory ClassWeek: 10 - 22
One 2.0 hours laboratory class per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
LectureWeek: 10 - 22
Two 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % |
|---|---|---|
| one 3-hour examination | 70 | |
| one assignment equiv. to 1,500 words. | 30 |