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Launceston

This unit has been discontinued.

Introduction

The information era dictates new ways to do business today. Available information through business systems, or social and public media is massive and constantly growing at very fast rate. Information is nowadays the most valuable asset in a business endeavor. Business analytics offers specialists the skills and understanding to use quantitative reasoning skills in business decision making. It is a support tool to managers in solving complex problems in a highly uncertain environment, allows to achieve effectiveness and adequacy of decisions, forecast changes and variability of external and internal processes, and optimize risk levels. This unit provides students with the fundamental and advanced concepts, tools and skills needed to understand the emerging role of business analytics and operations research in organizations with specific emphasize to logistics and transport companies, retailers, and procurement companies. It allows students to apply advanced business analytics tools in a computer-intensive environment and to communicate with analytics professional to effectively use and interpret analytical models and results for better decision making. There is a descriptive, predictive and prescriptive approaches offered in the unit. Along with this, it discussed the fundamentals and advances of operations research as a discipline area related to simulations and decision-making processes using intelligent methods. In current development of this discipline area, one major sub-discipline for operations research is service sciences and supply chain management, and this is going to be strongly emphasized.

Summary 2020

Unit name Business Analytics and Operations Research
Unit code JNB535
Credit points 12.5
Faculty/School College of Sciences and Engineering
Australian Maritime College
Discipline Maritime and Logistics Management
Coordinator

Prof Nataliya Nikolova

Level Postgraduate
Available as student elective? Yes
Breadth Unit? No

Availability

Note

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Fees

Teaching

Teaching Pattern

1 x 2-hr lecture and 1 x 1-hr tutorial weekly.

Assessment

Quiz 1 – 20 questions, 10 marks; Quiz 2 – 40 questions, 20 marks; Solving tasks – 4 tasks in the assignment, 30 marks; Exam – 40 marks.

TimetableView the lecture timetable | View the full unit timetable

Textbooks

RequiredNone

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