DECISION SUPPORT SYSTEMS
Credit points: 15
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, and recommender systems.
SchoolEngineering and Mathematical Sciences
Subject Co-ordinatorChris Taylor
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 5 - Masters
Available as ElectiveNo
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Minimum credit point requirementN/A
Business Intelligence and Analytics: Systems for Decision Support
AuthorRamesh Sharda Dursun Delen and Efraim Turban
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Intended Learning Outcomes
Select to view your study options…
Melbourne (Bundoora), 2021, Semester 1, Day
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorChris Taylor
Computer LaboratoryWeek: 11 - 22
One 2.00 hours computer laboratory per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
LectureWeek: 10 - 22
Two 1.00 hour lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
One 3-hour examination, equiv. to 3,000 words.
|Central exam||Individual||No||70||SILO1, SILO2, SILO3, SILO4, SILO5|
Assignment 1, equiv. to 1,000 words.S
Assignment 2, equiv. to 1,000 words.