Offering Information
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Course Team
Ji Zhang
Rajib Rana
Summary
Businesses and scientists are collecting more data than ever before. This course is designed to equip the students with computers skills and concepts required to ensure that the data collected is secure, stored and retrieved efficiently, and presented in a useful form. It is also designed to ensure that graduates … For more content click the Read More button below.
SynopsisThis course is intended for students experienced in statistical analysis, experimental design, and basic systems design, and focuses on the coordination, management and utilization of data using modern computer data base management systems. This course, in emphasizing the reliable, scalable, distributed and efficient handling of data of any size, develops the pragmatics of managing data, alongside with retrieval and analysis of information.
Requisites
Course Pre-requisites
Other Requisites or Enrolment Rules
Other
Offerings
Trimester 2
OL-TWMBA-TR2
ON-SPRNG-TR2
ON-TWMBA-TR2
Trimester 3
OL-TWMBA-TR3
Learning Outcomes
Upon completion of this course, graduates will be able to:
1.
Demonstrate advanced and integrated understanding of data modelling, storage, and retrieval methods and apply knowledge and skills to retrieve information from data storage
2.
Apply knowledge and skills to design and complete a project to coordinate and manage large data sets
3.
Analyse critically and interpret the knowledge from large data sets
4.
Interpret and transmit information and knowledge in the application discipline to specialist and non-specialist audiences
5.
Analyse critically and reflect on the issues of security, privacy and ethics of Big Data
Topics
Introduction to Big Data Management (5%)
Programming for Big Data (20%)
Modern methods of distributed processing of large data sets (such as Hadoop and MapReduce) (25%)
Modern distributed database for large tables (25%)
Manage, store and retrieve processed data in a variety of common formats (10%)
Privacy, security, ethics and … For more content click the Read More button below.
Assessments
Assessment due dates (as listed in Week Due) are indicative until finalised by the end of Week 1 for each Study Period (Offering). After Week 1, Assessment due dates may change with the approval of the Dean (Academic) or Delegate in limited circumstances. All Assessment due date changes approved after Week 1 will be communicated to students accordingly via Handbook and StudyDesk.