bua5bam bus analysis and modelling

BUSINESS ANALYSIS AND MODELLING

BUA5BAM

2018

Credit points: 15

Subject outline

This subject aims to provide you with a strong foundation in quantitative skills for effective managerial decision-making. Throughout the subject, the emphasis will be continually on two main areas: learning conceptual knowledge through modelling and problem-solving (using manual and computer application software) and critical thinking through application of these models in case analysis and discussion. Quantitative techniques and concepts have had a dramatic impact on managerial decision-making in finance, marketing and operations by assisting the manager in the process of making scientific, informed and rational decisions. It is common for decision makers in the modern business world to be overwhelmed by the vast amounts of data that accumulate on customers, products, markets and internal operations. It is therefore important that you familiarize yourself and become comfortable and competent in data analysis and modelling tools.

SchoolLa Trobe Business School

Credit points15

Subject Co-ordinatorGeraldine Kennett

Available to Study Abroad StudentsYes

Subject year levelYear Level 5 - Masters

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites Students must be enrolled in LMMBA or HZMBHA or LMMBAH or LMMBAA or LZFABA to do this subject.

Co-requisitesN/A

Incompatible subjects BUO5BAM

Equivalent subjectsN/A

Special conditionsN/A

Learning resources

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsQuantitative Methods for BusinessPrescribedAnderson, Sweeney, Camm, Cochran, Fry & Ohlmann12TH EDN, Cengage Learning

Graduate capabilities & intended learning outcomes

01. Students will demonstrate communication skills in quantitative methods.

Activities:
Case study analysis and problem identification to communicate effectively results and solutions.
Related graduate capabilities and elements:
Information Literacy(Information Literacy)
Speaking(Speaking)
Writing(Writing)

02. Students will demonstrate creative problem solving skills using strategies and tactics in operations management.

Activities:
Learn techniques of modelling to apply, compute and interpret models / identify management problems that can be solved through models.
Related graduate capabilities and elements:
Creative Problem-solving(Creative Problem-solving)

03. Students will demonstrate critical thinking skills for problem solving of quantitative decision issues.

Activities:
Think structurally and scientifically about decision problems.
Related graduate capabilities and elements:
Inquiry/ Research(Inquiry/ Research)
Creative Problem-solving(Creative Problem-solving)

04. Students will demonstrate inquiry and quantitative research skills and techniques.

Activities:
Identify, collate and source relevant data that will aid decision making/ Acquire knowledge and power of management science models.
Related graduate capabilities and elements:
Information Literacy(Information Literacy)
Critical Thinking(Critical Thinking)
Inquiry/ Research(Inquiry/ Research)

05. Students will demonstrate quantitative skills for solving business problems.

Activities:
Readings, problem solving and case study analysis to connect quantitative methods with other functional fields in an organisation.
Related graduate capabilities and elements:
Writing(Writing)
Critical Thinking(Critical Thinking)
Information Literacy(Information Literacy)
Speaking(Speaking)
Inquiry/ Research(Inquiry/ Research)

06. Students will gain knowledge and demonstrate literacy in the operations management field.

Activities:
Collective problem solving through thought and knowledge sharing.
Related graduate capabilities and elements:
Writing(Writing)
Information Literacy(Information Literacy)
Inquiry/ Research(Inquiry/ Research)
Speaking(Speaking)
Creative Problem-solving(Creative Problem-solving)

Subject options

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Start date between: and    Key dates

City Campus, 2018, Semester 1, Night

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorGeraldine Kennett

Class requirements

SeminarWeek: 10 - 22
One 3.0 hours seminar per week on any day including weekend at night from week 10 to week 22 and delivered via face-to-face.
"Please refer to MBA Student Information LMS Page for days and times."

Assessments

Assessment elementComments%ILO*
Case study reports (2500 words)4501, 02, 03, 05
Class Activities (500 words equivalent)1001, 02, 03, 04, 05, 06
Model Development individual assignment (2500 words)4501, 02, 03, 05

City Campus, 2018, Week 43-49, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorGeraldine Kennett

Class requirements

SeminarWeek: 45 - 48
Six 8.0 hours seminar per study period on weekends during the day from week 45 to week 48 and delivered via face-to-face.
"Please refer to MBA Student Information LMS Page for dates and times."

Assessments

Assessment elementComments%ILO*
Case study reports (2500 words)4501, 02, 03, 05
Class Activities (500 words equivalent)1001, 02, 03, 04, 05, 06
Model Development individual assignment (2500 words)4501, 02, 03, 05