BUSINESS ANALYSIS AND MODELLING

BUO5BAM

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 on two 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 they familiarise themselves and become comfortable and competent in data analysis and modelling tools.

SchoolLa Trobe Business School

Credit points15

Subject Co-ordinatorSusan Keller

Available to Study Abroad StudentsYes

Subject year levelYear Level 5 - Masters

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites students must be enrolled in LMMBAO, LMMBA or LMMBAA to do this subject

Co-requisitesN/A

Incompatible subjects BUA5BAM

Equivalent subjects BUA5BAM

Special conditionsN/A

Graduate capabilities & intended learning outcomes

01. Student 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

02. 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:
Writing
Speaking
Information Literacy

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:
Critical Thinking
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
Critical Thinking
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 fileds in an organisation.
Related graduate capabilities and elements:
Writing
Critical Thinking
Inquiry/ Research
Speaking
Information Literacy

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:
Inquiry/ Research
Information Literacy
Writing
Speaking
Creative Problem-solving

Subject options

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Start date between: and    Key dates

Online, 2018, Online StudyPeriod 1, Online

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorSusan Keller

Class requirements

Unscheduled Online Class Week: 02 - 08
One 3.0 hours unscheduled online class per week on any day including weekend during the day from week 02 to week 08 and delivered via online.

Assessments

Assessment elementComments% ILO*
Case study reports (2500 words)45 01, 02, 03, 05
Forum activities500 word equivalent10 01, 02, 03, 04, 05, 06
Model Development individual assignment (2500 words)45 01, 02, 03, 05

Online, 2018, Online StudyPeriod 5, Online

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorSusan Keller

Class requirements

Unscheduled Online Class Week: 36 - 42
One 3.0 hours unscheduled online class per week on any day including weekend during the day from week 36 to week 42 and delivered via online.

Assessments

Assessment elementComments% ILO*
Case study reports (2500 words)45 01, 02, 03, 05
Forum activities500 word equivalent10 01, 02, 03, 04, 05, 06
Model Development individual assignment (2500 words)45 01, 02, 03, 05