QBUS5015: Semester 1, 2021

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Units QBUS5015 Semester 1 2021 [Normal day]

Unit of study_

QBUS5015: Foundations of Health and Civic Analytics

Overview

Recently, we observed a rise in healthcare and civic disasters, including but not limited to the COVID19 pandemic, opioid crisis, bush fires, floods, droughts, etc. These events have significant impact not only on the way people live and work, but also seriously affect business organization, strategy, and management. With the rapidly increasing availability of data on health and civic disasters, it becomes increasingly important to learn how we can utilize available information and data sources in order to predict, alleviate and adjust to their impact. This unit of study provides a comprehensive introduction into methods and tools, which could be utilized to better understand and manage the effects of major health, climate and other civic events by analysing and deriving important intelligence from data.

Details

Academic unit	Business Analytics
Unit code	QBUS5015
Unit name	Foundations of Health and Civic Analytics
Session, year ?	Semester 1, 2021
Attendance mode	Normal day
Location	Camperdown/Darlington, Sydney
Credit points	6

Enrolment rules

Prohibitions ?	None
Prerequisites ?	None
Corequisites ?	None
Assumed knowledge ?	No prior knowledge is assumed although some familiarity with mathematical and statistical concepts will be an advantage.
Available to study abroad and exchange students	Yes

Teaching staff and contact details

Coordinator	Bala Rajaratnam, bala.rajaratnam@sydney.edu.au
Lecturer(s)	Adam Dunn , adam.dunn@sydney.edu.au
Tutor(s)	Emily Neo , emily.neo@sydney.edu.au

Type	Description	Weight	Due	Length
Final exam (Take-home extended release)	Final exam Written exam	50%	Formal exam period	24 hours
Outcomes assessed:
In-semester test (Record+)	Mid-term exam In-class exam	30%	Week 07 Due date: 21 Apr 2021 at 13:00	1.5 hours
Outcomes assessed:
Participation	Weekly participation assignments n/a	20%	Weekly	Varied
Outcomes assessed:
= Type B in-semester exam ? = Type E final exam ?

Weekly participation assignments:

Mid-term exam:

Final exam:

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.

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.

Special consideration

If you experience short-term circumstances beyond your control, such as illness, injury or misadventure or if you have essential commitments which impact your preparation or performance in an assessment, you may be eligible for special consideration or special arrangements.

Academic integrity

The Current Student website provides information on academic honesty, academic dishonesty, 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 dishonesty or plagiarism seriously.

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

Weekly schedule

WK	Topic	Learning activity
Week 01	Introduction to Health and Civic Analytics	Lecture and tutorial (3 hr)
Week 02	Data Types, Data Sources, Data Access and Data Context	Lecture and tutorial (3 hr)
Week 03	Health Data Life Cycle	Lecture and tutorial (3 hr)
Week 04	Epidemic Modelling	Lecture and tutorial (3 hr)
Week 05	Risk-benefit and Multi-criteria Decision Analysis	Lecture and tutorial (3 hr)
Week 06	Clinical Trials and Adverse Events	Lecture and tutorial (3 hr)
Week 07	Mid-semester exam	Individual study (1.5 hr)
Week 08	Precision and Personalized Medicine	Lecture and tutorial (3 hr)
Week 09	Implementing and Managing Digital Health Tools	Lecture and tutorial (3 hr)
Week 10	Using Data for Planning and Microplanning of Health and Civic Intervention	Lecture and tutorial (3 hr)
Week 11	Civic Event Management Using Data	Lecture and tutorial (3 hr)
Week 12	Business and Economics Implications of Health and Civic Events	Lecture and tutorial (3 hr)
Week 13	Revision	Lecture and tutorial (3 hr)

Attendance and class requirements

Students are required to both attend class and participate in tutorials

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.

Required readings

There is no required text for this unit.

A recommended text for the course is given below:

Dicker et al (2006), Principles of Epidemiology in Public Health Practice, CDC, Third Edition, An Introduction to Applied Epidemiology and Biostatistics, https://www.cdc.gov/csels/dsepd/ss1978/SS1978.pdf

Articles and other relevant literature for the unit will be provided.

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. Define: Ability to understand how to define a real-world problem related to healthcare and civic issues
LO2. Measure: Ability to identify appropriate measures, variables, and datasets as well as understand how to collect suitable data
LO3. Analyze: Ability to select the most appropriate methods and techniques to analyse the data and solve the problem
LO4. Critically evaluate: Ability to critically evaluate existing data science methodology suitable for healthcare and civic applications
LO5. Communicate: Ability to communicate health and civic analytics findings for business-level understanding
LO6. Be ethical and responsible: Ability to approach all stages of the health and civic problem-solving process in a responsible and ethical manner

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

Closing the loop

This is the first time this unit has been offered

Additional information

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Learning Centre, faculty and school programs, Library, online resources
Health and support
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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

Details

Enrolment rules

Teaching staff and contact details

Assessment

Assessment criteria

Late submission

Special consideration

Academic integrity

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Graduate qualities

Outcome map

Closing the loop

Additional information

Disclaimer

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