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Unit of study_

QBUS5015: Foundations of Health and Civic Analytics

Semester 1, 2021 [Normal day] - Remote

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.

Unit details and rules

Unit code QBUS5015
Academic unit Business Analytics
Credit points 6
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

Coordinator Bala Rajaratnam, bala.rajaratnam@sydney.edu.au
Type Description Weight Due Length
Final exam (Take-home extended release) Type E final exam Final exam
Written exam
50% Formal exam period 24 hours
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
In-semester test (Record+) Type B in-semester exam Mid-term exam
In-class exam
30% Week 07
Due date: 21 Apr 2021 at 13:00
1.5 hours
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
Participation Weekly participation assignments
n/a
20% Weekly Varied
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
Type B in-semester exam = Type B in-semester exam ?
Type E final exam = Type E final exam ?

Assessment summary

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.

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.

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.

WK Topic Learning activity Learning outcomes
Week 01 Introduction to Health and Civic Analytics Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 02 Data Types, Data Sources, Data Access and Data Context Lecture and tutorial (3 hr) LO1 LO2 LO5 LO6
Week 03 Health Data Life Cycle Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 04 Epidemic Modelling Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 05 Risk-benefit and Multi-criteria Decision Analysis Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 06 Clinical Trials and Adverse Events Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO6
Week 07 Mid-semester exam Individual study (1.5 hr)  
Week 08 Precision and Personalized Medicine Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 09 Implementing and Managing Digital Health Tools Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 10 Using Data for Planning and Microplanning of Health and Civic Intervention Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 11 Civic Event Management Using Data Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 12 Business and Economics Implications of Health and Civic Events Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 13 Revision Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6

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 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.

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
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

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

This is the first time this unit has been offered

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.