Faculty of Information Technology
Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
Monash Online offerings are only available to students enrolled in the Graduate Diploma in Data ScienceGraduate Diploma in Data Science (http://online.monash.edu/course/graduate-diploma-data-science/?Access_Code=MON-GDDS-SEO2&utm_source=seo2&utm_medium=referral&utm_campaign=MON-GDDS-SEO2) via Monash Online.
This unit teaches about working with different kinds of data, documents, graphs, spatial data. Distributed processing is introduced using Hadoop and Spark technologies, including streaming, graph processing and using NoSQL. Programming assignments are generally done in the Jupyter environment.
Upon successful completion of this unit, students should be able to:
On-campus: Examination (2 hours): 50%; In-semester assessment: 50%
Monash Online: In-semester assessment: 100%
Minimum total expected workload equals 144 hours per semester comprising:
(a.) Contact hours for on-campus students:
(b.) Contact hours for Monash Online students:
Online students generally do not attend lecture, tutorial and laboratory sessions, however should plan to spend equivalent time working through resources and participating in discussions.
(c.) Additional requirements (all students):
See also Unit timetable information