Courses & Units
Business Analytics and Operations Research JNB635
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 a very fast rate. Information is nowadays the most precious asset of any initiative. The unit of Business Analytics and Operations Research 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 optimise risk levels. Those techniques strongly focus on practical applications, hence there are overlaps with psychology, industrial engineering and organization sciences. Perhaps the best example of this cross-disciplinarity is quantitative decision analysis, also known as mathematics of rationality. It has been developed with the idea to formalise the concept of rationality through quantifiable parameters and make choices based on robust criteria under risk.
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. Emphasis would be given to problems in logistics and transport, retailing and procurement. It allows students to understand and apply advanced business analytics tools in a computer-intensive environment and to communicate with analytics professionals 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 discusses the fundamentals and advances of operations research as a discipline area related to simulations and decision-making processes using intelligent methods.
To facilitate your practical activities, the selected textbook includes the online platform MindTap – it is a development of Cengage that provides engaging content, challenges every individual and builds student confidence. You may find more information about the platform (also available as mobile app) at https://www.cengage.com/mindtap/. Most exercises require calculations with the use of computers, calculators or other computational tools. Having said this, what you really need to learn are the methods rather than the calculation skills. While some may find this unit challenging, its knowledge is essential to understand the fundamentals of decision making in complex business environment.
|Unit name||Business Analytics and Operations Research|
|College/School||College of Sciences and Engineering
Australian Maritime College
|Discipline||Maritime and Logistics Management|
|Coordinator||Doctor Wenming Shi|
|Delivered By||University of Tasmania|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
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|Study Period||Start date||Census date||WW date||End date|
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2023 are indicative and subject to change. Finalised census dates for 2023 will be available from the 1st October 2022. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
- Collect, analyse and interpret global trade information to aid decisions in logistics management
- Use intelligent techniques for knowledge discovery to solve real-life problems in logistics management
- Critically assess business analytics solutions and their applicability to the decision making process arising in diverse contexts
- Define and constructively justify recommended choices in management and logistics based on supporting evidence, critical thinking and professional judgment
|Field of Education||Commencing Student Contribution 1,3||Grandfathered Student Contribution 1,3||Approved Pathway Course Student Contribution 2,3||Domestic Full Fee 4|
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
You cannot enrol in this unit as well as the following:JNB535
|Assessment||Engagement quiz|Online quiz 1 (15%)|Online quiz 2 (15%)|Decision analysis (30%)|Final examination (40%)|
|Timetable||View the lecture timetable | View the full unit timetable|
Camm, JD, Cochran, JJ, Fry, MJ, Ohlmann, Business Analytics, 4th edition, Cengage, 2021
This textbook is available to purchase from the link below:
Press, W, Teukolski, S, Vetterling, WT & Flannery, B 2007, Numerical recipes: the art of scientific computing, 3rd edn, Cambridge University Press.
Efron, B. & Tibshirani, RJ, An introduction to the bootstrap, CRC Press, 1994
Camm, JD, Cochran, JJ, Fry, MJ, Ohlmann, D. Anderson, Business Analytics, 3rd edition, Cengage, 2019
French, Simon & David Rios Insua. 2010. Statistical decision theory: Kendall's library of statistics 9. Chichester, UK: John Wiley & Sons Ltd.
Viertl, R. Statistical methods for fuzzy data. John Wiley. UK, 2011
Selvanathan, SA, Selvanathan, S & Keller, G 2017, Business statistics: Australia New Zealand, Seventh Edition+ MindTap Printed Access Card (two items supplied in a value pack), Cengage Learning Australia, ISBN: 9780170285827
Lind, DA, Marchal, WG & Wathen, SA 2017, Statistical techniques in business & economics, 17th edn, Irwin McGraw-Hill, New York
Albright, SC, Winston, WL & Zappe, C 2011, Data analysis & decision making, 4th edn, South-Western Cengage Learning, Mason, OH.
Anderson, DR, Sweeney, DJ, Williams, TA, Camm, JD & Martin, K 2013, Quantitative methods for business, 12th edn, South-Western Cengage Learning, Mason, OH.
Berenson, ML, Levin, DM, Krehbiel, TC, Watson, J, Jayne, N & Turner, L 2013, Basic business statistics – concepts and applications, 3rd edn, Person Australia Group, Frenchs Forest.
Hillier, FS & Hillier, MS 2014, Introduction to management science: A modelling and case studies approach with spreadsheets, 5th edn, McGraw-Hill Irwin, New York.
Oakshott, L 2012, Essential quantitative methods for business, management and finance, 5th edn, Palgrave Macmillan, Hampshire.
|Links||Booktopia textbook finder|
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