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James Cook University Subject Handbook - 2024

For subject information from 2025 and onwards, please visit the new JCU Course and Subject Handbook website.

MA1580 - Foundations of Data Science

Credit points:03
Year:2024
Student Contribution Band:Band 1
Prerequisites:MA1000 OR MA1020 OR MA0020 OR Maths B
Administered by:College of Science and Engineering

Townsville external offering is required for the online Bachelor of Education (Primary) as part of the maths/numeracy specialisation.

Subject Description

    This subject will provide students with an overview of data science as a discipline as well as an introduction to a number of topics that play fundamental roles across various subjects in this area. Students will learn different forms of representing and pre-processing data for further analysis and visualisation. They will also learn principles of algorithm analysis that will allow them to assess and compare the scalability of different algorithms to be studied across other subjects in the realm of data science. Core elements of this subject include: An Introduction to Data Science and Big Data; Data Types and Representation; Essentials on Data Visualisation of Tabular Data; Data Pre-Processing; Data Wrangling and Tidying; Algorithm Analysis; Case Studies; Software Practice (R).

Learning Outcomes

  • explain what data science is about and the areas that play major roles within the realm of data science
  • explain and exemplify the most common forms of data types and representations
  • identify and describe at a conceptual level a core collection of simple yet powerful techniques for data visualisation in the realm of data science
  • conceptually describe and apply a core collection of elementary techniques for data pre-processing
  • interpret and explain, at a conceptual level, results of algorithm analyses
  • apply common data representation and data pre-processing techniques, such as wrangling and tidying, using the software package and language R

Subject Assessment

  • Written > Test/Quiz 1 - (20%) - Individual
  • Written > Problem task - (40%) - Individual
  • Written > Research report - (40%) - Individual

Note that minor variations might occur due to the continuous subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.

Availabilities

Cairns Nguma-bada, Study Period 2, Internal

Census date:Thursday, 22 Aug 2024
Study Period Dates:Monday, 22 Jul 2024 to Friday, 15 Nov 2024
Coordinator(s):
DR Carla Ewels
Lecturer(s):
DR Dianna Hardy
DR Carla Ewels
Professor Hallam Stevens
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 26 Hours - Tutorials

JCU Singapore, Study Period 51, Internal

Census date:Thursday, 07 Mar 2024
Study Period Dates:Thursday, 15 Feb 2024 to Friday, 26 Apr 2024
Lecturer(s):
DR Eric Tham
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 26 Hours - Tutorials

JCU Singapore, Trimester 3, Internal

Census date:Thursday, 10 Oct 2024
Study Period Dates:Monday, 16 Sep 2024 to Saturday, 14 Dec 2024
Coordinator(s):
DR Carla Ewels
Lecturer(s):
DR Stanley Loo
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 26 Hours - Tutorials

Townsville Bebegu Yumba, Study Period 2, Internal

Census date:Thursday, 22 Aug 2024
Study Period Dates:Monday, 22 Jul 2024 to Friday, 15 Nov 2024
Coordinator(s):
DR Carla Ewels
Lecturer(s):
DR Dianna Hardy
DR Carla Ewels
Professor Hallam Stevens
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 26 Hours - Tutorials