dig5bdm big data and the internet of medical things
BIG DATA AND THE INTERNET OF MEDICAL THINGS
DIG5BDM
2020
Credit points: 15
Subject outline
The volume of health data is increasing exponentially in the digital age, providing more data for health management and research. In this subject you will gain an understanding of what 'big data# is, why it is important to the health and healthcare sectors, and how it can be used in real-world applications. You will explore the requirements for research infrastructure, review the current big data landscape(including assets, facilities and services) and investigate the requirements around information security in relation to big data in digital health. Data linkage techniques and various strategies to tackle problems relating to data linkage quality will be explored and you will investigate how the Internet of Medical Things (IoMT) can benefit health research using compatible devices, apps and research platforms. You will develop a working knowledge of the analytical techniques used to mine big data including machine learning, predictive analytics, forecasting, visualisation, simulation and complex event processing for use in healthcare and in public health.
SchoolPsychology and Public Health (Pre 2022)
Credit points15
Subject Co-ordinatorJames Boyd
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 5 - Masters
Available as ElectiveYes
Learning ActivitiesN/A
Capstone subjectNo
Subject particulars
Subject rules
Prerequisites None
Co-requisitesN/A
Incompatible subjectsN/A
Equivalent subjectsN/A
Quota Management StrategyMerit based quota management
Quota-conditions or rulesN/A
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Learning resources
Medical Big Data and Internet of Medical Things Advances, Challenges and Applications
Resource TypeBook
Resource RequirementPrescribed
AuthorAboul Ella Hassanien, Nilanjan Gey, Surekha Borra
Year2018
Edition/VolumeN/A
PublisherCRC Press
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
The Medical Futurist
Resource TypeBook
Resource RequirementRecommended
AuthorBertalan Meskó, Nóra Radó, et al.
YearN/A
Edition/VolumeN/A
PublisherThe Medical Futurist
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLhttps://medicalfuturist.com
Other descriptionN/A
Source locationN/A
Medical Internet of Things and Big Data in Healthcare
Resource TypeBook
Resource RequirementRecommended
AuthorDimiter Dimitrov
Year2016
Edition/VolumeN/A
PublisherHealthcare informatics research. 2016 Jul 1;22(3):156-63.
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Career Ready
Career-focusedNo
Work-based learningNo
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Subject options
Select to view your study options…
Melbourne (Bundoora), 2020, LTU Term 4, Blended
Overview
Online enrolmentYes
Maximum enrolment size60
Subject Instance Co-ordinatorJames Boyd
Class requirements
Scheduled Online ClassWeek: 30 - 35
Two 2.00 hours scheduled online class per week on weekdays during the day from week 30 to week 35 and delivered via online.
Unscheduled Online ClassWeek: 30 - 35
Two 1.50 hour unscheduled online class per week on weekdays during the day from week 30 to week 35 and delivered via online.
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
Oral Presentation/Seminar (1500-word equivalent)~30 min presentation | N/A | N/A | No | 20 | SILO1, SILO3, SILO5 |
Big Data Assignment (3000-word equivalent)Individual essay, review, report, etc. | N/A | N/A | No | 50 | SILO2, SILO4 |
Group project and presentation (2000-word equivalent per student)Project (1250-word equivalent) and ~15 mins presentation (750-words) | N/A | N/A | No | 30 | SILO2, SILO3, SILO5 |
Melbourne (Bundoora), 2020, LTU Term 6, Blended
Overview
Online enrolmentYes
Maximum enrolment size60
Subject Instance Co-ordinatorJames Boyd
Class requirements
Scheduled Online ClassWeek: 45 - 50
Two 2.00 hours scheduled online class per week on weekdays during the day from week 45 to week 50 and delivered via online.
Unscheduled Online ClassWeek: 45 - 50
Two 1.50 hour unscheduled online class per week on weekdays during the day from week 45 to week 50 and delivered via online.
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
Oral Presentation/Seminar (1500-word equivalent)~30 min presentation | N/A | N/A | No | 20 | SILO1, SILO3, SILO5 |
Big Data Assignment (3000-word equivalent)Individual essay, review, report, etc. | N/A | N/A | No | 50 | SILO2, SILO4 |
Group project and presentation (2000-word equivalent per student)Project (1250-word equivalent) and ~15 mins presentation (750-words) | N/A | N/A | No | 30 | SILO2, SILO3, SILO5 |