ENTERPRISE BUSINESS INTELLIGENCE

BUS5EBI

2014

Credit points: 15

Subject outline

Business intelligence (BI) is a broad category of applications and technologies for gathering, storing, analysing data, and providing access to decision-making information to business managers in a range of business areas like accounting, finance, human resources, sales and marketing. OLAP (On-Line Analytical Processing) systems, as a means of providing BI are discussed. Students are introduced to intelligent data mining technologies and how they are used for finding useful information in enterprise information systems as well as analysis of patterns in data stored in databases. An emphasis is placed on business applications of data mining in areas like retail, banking and finance. A business intelligence tool will also be used to provide hands-on experience to the students.

Faculty: Faculty of Business, Economics and Law

Credit points: 15

Subject Co-ordinator: Mei-Tai Chu

Available to Study Abroad Students: No

Subject year level: Year Level 5 - Masters

Exchange Students: No

Subject particulars

Subject rules

Prerequisites: FIN5SBF, BUS5AFS, BUS5MMS, ECO5POE

Co-requisites: BUS5BID if enrolled in LMBISC

Incompatible subjects: N/A

Equivalent subjects: N/A

Special conditions: If enrolled in LMBISC

Melbourne, 2014, Semester 1, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information:

Subject Instance Co-ordinator: Mei-Tai Chu

Class requirements

Laboratory ClassWeek: 10 - 22
One 1.0 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
One 2.0 hours lecture other recurrence on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementComments%
class activities and assessmentequivalent to 1,000-words10
lab activities and assessmentequivalent to 1,000-words10
one 2,000-word assignment20
one 2-hour final examination60

Melbourne, 2014, Semester 2, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information:

Subject Instance Co-ordinator: Mei-Tai Chu

Class requirements

Laboratory ClassWeek: 31 - 43
One 1.0 hours laboratory class per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

LectureWeek: 31 - 43
One 2.0 hours lecture other recurrence on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementComments%
class activities and assessmentequivalent to 1,000-words10
lab activities and assessmentequivalent to 1,000-words10
one 2,000-word assignment20
one 2-hour final examination60