FMBA5008: Semester 1b, 2022

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Units FMBA5008 Semester 1b 2022 [Block mode]

Unit of study_

FMBA5008: Data Analytics and Modelling

Semester 1b, 2022 [Block mode] - Castlereagh St, Sydney

Overview

This unit aims to develop the ability to effectively analyse and draw useful inferences from data in order to communicate complex interrelationships to senior management in a way that can lead to favourable and sustainable change. Topics covered include analysis of key macroeconomic variables and statistical concepts, demand modelling, performance measurement and benchmarking analysis, and quantifying the economics and financial risks. This unit provides students with an opportunity to work with real-world data sets and case studies, and to apply those data sets to various organisations

Unit details and rules

Unit code	FMBA5008
Academic unit	Management Education
Credit points	6
Prohibitions ?	SMBA6003
Prerequisites ?	None
Corequisites ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	John-Paul Monck, john-paul.monck@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Individual assignment including sustainability component Report	40%	Week 04 Due date: 08 May 2022 at 11:59	6 pages
Outcomes assessed:
Assignment	Group assignment Presentation	40%	Week 05 Due date: 19 May 2022 at 09:00	3 slides per member
Outcomes assessed:
Final exam (Take-home short release)	Final exam Short answer and MCQ	20%	Week 08 Due date: 26 May 2022 at 10:00	2.5 hours
Outcomes assessed:
= group assignment ? = Type D final exam ?

Assessment summary

Individual assignment including sustainability component: Students will write a professional report explaining how data analysis can be used to address a long-term issue of sustainable development within the Australian economy or another economy of your choice.
Group assignment: In groups of 5-6, students will prepare a powerpoint presentation discussing the key demand side risks associated with the venture with a focus on the macroeconomic performance of the target country.
Final exam: The final exam will cover all the topics of the unit.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100	Awarded when you demonstrate the learning outcomes for the unit at an exceptional standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Distinction	75 - 84	Awarded when you demonstrate the learning outcomes for the unit at a very high standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Credit	65 - 74	Awarded when you demonstrate the learning outcomes for the unit at a good standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Pass	50 - 64	Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see sydney.edu.au/students/guide-to-grades.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Week 01	Basic data analytic skills for students without a strong background in this area	Lecture and tutorial (4 hr)
Week 01	Macroeconomic overview	Lecture and tutorial (4 hr)
Week 02	Macroeconomic linkages	Lecture and tutorial (4 hr)
Week 02	Demand modelling	Lecture and tutorial (4 hr)
Week 03	Demand modelling exercise	Lecture and tutorial (4 hr)
Week 03	Cost modelling	Lecture and tutorial (4 hr)
Week 04	Microeconomic levers	Lecture and tutorial (4 hr)
Week 04	Break even analysis	Lecture and tutorial (4 hr)
Week 06	Economic risks	Lecture and tutorial (4 hr)
Week 06	Performance measurement and benchmarking	Lecture and tutorial (4 hr)

Attendance and class requirements

Lecture recordings and attendance: Note that MBA classes held at the CBD Campus are not systematically recorded and 100% class attendance is expected for each unit of the MBA Program. If there are extenuating circumstances as to why you are not able to attend a particular class, please contact your unit coordinator as soon as possible, and also notify your group members (if the unit has a group work component).

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. demonstrate and identify; 1. The data a business needs to solve complex problems; 2. The key drivers of the demand for a business' product; 3. Whether profitability increases in response to an increase in price or output, and how this relates to the price elasticity of demand; 4. The key interrelationships between external and internal variables that are pivotal to understanding the business' risk, and the management of those risks
LO2. quantify the impact of critical drivers that are external to the company, such as GDP, exchange rates, commodity prices, and inflation, on revenue and cost streams, and use this information for risk management purposes by utilising key statistical tools such as descriptive statistics, regression, and simulation analysis
LO3. communicate complex ideas more effectively to senior management, determine the communication styles that senior management prefer, draw more effective graphical relationships between variables, construct a more effective PowerPoint presentation, deliver a presentation that is more likely to be preferred by senior management, and construct the most effective sequence of material in a presentation to generate the maximum amount of positive impression from senior management
LO4. collaborate more effectively with colleagues and peers to solve complex data-related problems.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

No changes have been made since this unit was last offered.

Additional information

Business School Policies

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

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