COMP2200
Data Science
Session 2, Special circumstance 2020
Department of Computing
Contents
General Information 2
Learning Outcomes 2
General
... [Show More] Assessment Information 3
Assessment Tasks 3
Delivery and Resources 6
Unit Schedule 6
Policies and Procedures 7
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Notice
As part of Phase 3 of our return to campus plan,
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her small group learning activities on campus for
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General Information
Important Academic Dates
Information about important academic dates including deadlines for withdrawing from units are
available at https://students.mq.edu.au/important-dates
Learning Outcomes
On successful completion of this unit, you will be able to:
Unit convenor and teaching staff
Convenor/Lecturer
Xuyun Zhang
[email protected]
Contact via Email
Room 287 BD Building, 4 Research Park Drive, Macquarie Park, NSW 2109
Lecturer
Sonit Singh
[email protected]
Contact via Email
Credit points
10
Prerequisites
(COMP1000 or COMP115 or COMP1010 or COMP125) and (STAT1170 or STAT170 or
STAT1371 or STAT171 or STAT1250 or STAT150)
Corequisites
Co-badged status
COMP6200
Unit description
This unit introduces students to the fundamental techniques and tools of data science, such
as the graphical display of data, predictive models, evaluation methodologies, regression,
classification and clustering. The unit provides practical experience applying these methods
using industry-standard software tools to real-world data sets. Students who have completed
this unit will be able to identify which data science methods are most appropriate for a realworld data set, apply these methods to the data set, and interpret the results of the analysis
they have performed [Show Less]