bus1ban business analytics

BUSINESS ANALYTICS

BUS1BAN

2014

Credit points: 15

Subject outline

In a world where organizations are confronted with a vast amount of information, there will be an ever-increasing demand for graduates who are able to demonstrate that they can make effective use of data. This subject will help students to become more competent users of information and to develop their understanding of decision making processes. The subject will assist students to attain an introductory level of statistical literacy by helping them to apply statistical concepts to critical business problems and major social issues.

FacultyFaculty of Business, Economics and Law

Credit points15

Subject Co-ordinatorJohn Shannon

Available to Study Abroad StudentsYes

Subject year levelYear Level 1 - UG

Exchange StudentsYes

Subject particulars

Subject rules

PrerequisitesN/A

Co-requisitesN/A

Incompatible subjects BUS1BUA

Equivalent subjects BUS1BUA

Special conditionsN/A

Subject options

Select to view your study options…

Start date between: and    Key dates

Bendigo, 2014, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorGraeme Byrne

Class requirements

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

TutorialWeek: 32 - 43
One 1.0 hours tutorial per week during the day from week 32 to week 43 and delivered via face-to-face.

Assessments

Assessment elementComments%
Complete case study and assess it (still formative in nature) - an excel file for them to work on.Demonstrate that they have the numerical measures correct. Represent data graphically. Demonstrate they can interpret the measures and the graphs correctly.10
Final exam60
Satisfactory completion and submission of tutorial homework tasks20
Statistical inference through the case study fact pattern10

China, 2014, Week 37-52, Day

Overview

Online enrolmentNo

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorGreg Jamieson

Class requirements

SeminarWeek: 37 - 52
One 3.0 hours seminar other recurrence on weekdays during the day from week 37 to week 52 and delivered via face-to-face.

Assessments

Assessment elementComments%
Complete case study and assess it (still formative in nature) - an excel file for them to work on.Demonstrate that they have the numerical measures correct. Represent data graphically. Demonstrate they can interpret the measures and the graphs correctly.10
Final exam60
Satisfactory completion and submission of tutorial homework tasks20
Statistical inference through the case study fact pattern10

Dandenong, 2014, Semester 1, Day

Overview

Online enrolmentNo

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorJohn Shannon

Class requirements

Computer LaboratoryWeek: 11 - 22
One 1.0 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
One 2.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementComments%
Complete case study and assess it (still formative in nature) - an excel file for them to work on.Demonstrate that they have the numerical measures correct. Represent data graphically. Demonstrate they can interpret the measures and the graphs correctly.10
Final exam60
Satisfactory completion and submission of tutorial homework tasks20
Statistical inference through the case study fact pattern10

Dandenong, 2014, Semester 2, Day

Overview

Online enrolmentNo

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorJohn Shannon

Class requirements

Computer LaboratoryWeek: 32 - 43
One 1.0 hours computer laboratory per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.

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

Assessments

Assessment elementComments%
Complete case study and assess it (still formative in nature) - an excel file for them to work on.Demonstrate that they have the numerical measures correct. Represent data graphically. Demonstrate they can interpret the measures and the graphs correctly.10
Final exam60
Satisfactory completion and submission of tutorial homework tasks20
Statistical inference through the case study fact pattern10

Melbourne, 2014, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorJohn Shannon

Class requirements

TutorialWeek: 11 - 22
One 1.0 hours tutorial per week on weekdays during the day from week 11 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.

Computer LaboratoryWeek: 10 - 22
One 1.0 hours computer laboratory other recurrence on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
"6 * 1 hour computer lab available for student consultation, student to attend one of these as required"

Assessments

Assessment elementComments%
Complete case study and assess it (still formative in nature) - an excel file for them to work on.Demonstrate that they have the numerical measures correct. Represent data graphically. Demonstrate they can interpret the measures and the graphs correctly.10
Final exam60
Satisfactory completion and submission of tutorial homework tasks20
Statistical inference through the case study fact pattern10

Melbourne, 2014, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorJohn Shannon

Class requirements

Computer LaboratoryWeek: 31 - 43
One 1.0 hours computer laboratory other recurrence on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
"6 * 1 hour computer lab available for student consultation, student to attend one of these as required"

LectureWeek: 31 - 43
Two 1.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

TutorialWeek: 32 - 43
One 1.0 hours tutorial per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.

Assessments

Assessment elementComments%
Complete case study and assess it (still formative in nature) - an excel file for them to work on.Demonstrate that they have the numerical measures correct. Represent data graphically. Demonstrate they can interpret the measures and the graphs correctly.10
Final exam60
Satisfactory completion and submission of tutorial homework tasks20
Statistical inference through the case study fact pattern10

Mildura, 2014, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorJohn Kotroulas

Class requirements

TutorialWeek: 32 - 43
One 1.0 hours tutorial per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.

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

Assessments

Assessment elementComments%
Complete case study and assess it (still formative in nature) - an excel file for them to work on.Demonstrate that they have the numerical measures correct. Represent data graphically. Demonstrate they can interpret the measures and the graphs correctly.10
Final exam60
Satisfactory completion and submission of tutorial homework tasks20
Statistical inference through the case study fact pattern10

Shepparton, 2014, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorBorislav Bondjakov

Class requirements

SeminarWeek: 31 - 43
One 3.0 hours seminar per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementComments%
Complete case study and assess it (still formative in nature) - an excel file for them to work on.Demonstrate that they have the numerical measures correct. Represent data graphically. Demonstrate they can interpret the measures and the graphs correctly.10
Final exam60
Satisfactory completion and submission of tutorial homework tasks20
Statistical inference through the case study fact pattern10

Sydney, 2014, ACN Semester 1, Day

Overview

Online enrolmentNo

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorGreg Jamieson

Class requirements

SeminarWeek: 11 - 22
One 3.0 hours seminar other recurrence on weekdays during the day from week 11 to week 22 and delivered via face-to-face.

Assessments

Assessment elementComments%
Complete case study and assess it (still formative in nature) - an excel file for them to work on.Demonstrate that they have the numerical measures correct. Represent data graphically. Demonstrate they can interpret the measures and the graphs correctly.10
Final exam60
Satisfactory completion and submission of tutorial homework tasks20
Statistical inference through the case study fact pattern10

Sydney, 2014, ACN Semester 2, Day

Overview

Online enrolmentNo

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorGreg Jamieson

Class requirements

SeminarWeek: 28 - 39
One 3.0 hours seminar other recurrence on weekdays during the day from week 28 to week 39 and delivered via face-to-face.

Assessments

Assessment elementComments%
Complete case study and assess it (still formative in nature) - an excel file for them to work on.Demonstrate that they have the numerical measures correct. Represent data graphically. Demonstrate they can interpret the measures and the graphs correctly.10
Final exam60
Satisfactory completion and submission of tutorial homework tasks20
Statistical inference through the case study fact pattern10

Sydney, 2014, ACN Summer Semester, Day

Overview

Online enrolmentNo

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorGreg Jamieson

Class requirements

SeminarWeek: 45 - 05
One 3.0 hours seminar other recurrence on weekdays during the day from week 45 to week 05 and delivered via face-to-face.

Assessments

Assessment elementComments%
Complete case study and assess it (still formative in nature) - an excel file for them to work on.Demonstrate that they have the numerical measures correct. Represent data graphically. Demonstrate they can interpret the measures and the graphs correctly.10
Final exam60
Satisfactory completion and submission of tutorial homework tasks20
Statistical inference through the case study fact pattern10

Vietnam, 2014, Semester 1, Day

Overview

Online enrolmentNo

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorGreg Jamieson

Class requirements

SeminarWeek: 10 - 22
One 3.0 hours seminar other recurrence on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementComments%
Complete case study and assess it (still formative in nature) - an excel file for them to work on.Demonstrate that they have the numerical measures correct. Represent data graphically. Demonstrate they can interpret the measures and the graphs correctly.10
Final exam60
Satisfactory completion and submission of tutorial homework tasks20
Statistical inference through the case study fact pattern10

Vietnam, 2014, Semester 2, Day

Overview

Online enrolmentNo

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorGreg Jamieson

Class requirements

SeminarWeek: 31 - 43
One 3.0 hours seminar other recurrence on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementComments%
Complete case study and assess it (still formative in nature) - an excel file for them to work on.Demonstrate that they have the numerical measures correct. Represent data graphically. Demonstrate they can interpret the measures and the graphs correctly.10
Final exam60
Satisfactory completion and submission of tutorial homework tasks20
Statistical inference through the case study fact pattern10