INFT6201
10 units
6000 level
Course handbook
Description
The pervasion of information technology into every aspect of life and the recent explosion of social media have resulted in the creation of huge volumes (Big Data) of typically unstructured data: web logs, videos, speech, photographs, purchase patterns, e-mails, GPS data and Tweets. Organisations have understood that there is a strong need for professional data analysts who are able to manage big data, to apply appropriate data analytics techniques (e.g. statistical learning, classification, and dimension reduction methods), and to utilise the critical knowledge within these enormous amounts of data. This course brings together several key theories and technologies used in manipulating, storing, and analyzing big data.
Availability2021 Course Timetables
Sydney Elizabeth Street
- Trimester 3 - 2021
Callaghan
- Trimester 3 - 2021
Online
- Trimester 3 - 2021
Learning outcomes
On successful completion of the course students will be able to:
1. An understanding of the problems and limitations of existing enterprise technology in handling large datasets and how Big Data technologies can be used to overcome them.
2. An appreciation of the business requirements and applications of Big Data technologies.
3. Acquired the knowledge and skills required to use contemporary Big Data technologies to store, manipulate and analyse large unstructured data sets.
Content
Students will learn;
- The Characteristics of Big Data
- Structured, Unstructured and High Dimensional Data
- Data Intensive Distributed Applications and Architectures
- Data Analytics Techniques for Big Data
- Implementation of Data Analytics Techniques in Software Environments
- Extraction, communication and retention of Critical Knowledge from Big Data for Decision Support
- Integration of Big Data into Enterprise Systems
- Design and Production of Reports from Large Unstructured Datasets
Assumed knowledge
Exposure to modern Database technology
Assessment items
Project: Projects
Presentation: Presentation
Report: Data Analysis Report
Contact hours
Callaghan
Computer Lab
Face to Face On Campus 2 hour(s) per Week for Full Term
Lecture
Face to Face On Campus 2 hour(s) per Week for Full Term
Online
Computer Lab
Online 2 hour(s) per Week for Full Term
Lecture
Online 2 hour(s) per Week for Full Term
Sydney Elizabeth Street
Computer Lab
Face to Face On Campus 2 hour(s) per Week for Full Term
Lecture
Face to Face On Campus 2 hour(s) per Week for Full Term
The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.