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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.

MA5831 - Advanced Data Management and Analysis using SAS

Credit points:03
Year:2024
Student Contribution Band:Band 1
Prerequisites:(24 credit points of postgraduate subjects and admission to 300104 or 300504 or 300604) OR (admission to 115510 or 115810 plus MA2405 and MA3405)
Administered by:College of Science and Engineering

Subject Description

    This subject will provide students with cutting-edge tools and techniques for high-performance and large-scale computing, with focus on computer models and software designed to handle Big Data sets in a distributed and/or parallel fashion. Particular focus will be given to distributed and parallel computing using Map-Reduce/Hadoop and similar models for processing Big Data sets.

Learning Outcomes

  • list the different systems and approaches for high-performance and large-scale computing, as well as explain their differences
  • conceptually describe and apply models for distributed and parallel computing of Big Data sets, such as MapReduce and Spark
  • choose and apply different techniques and software for distributed and cloud computing of Big Data, such as Hadoop

Subject Assessment

  • Written > Test/Quiz 1 - (10%) - Individual
  • Written > Case report 1 - (30%) - Individual
  • Written > Literature review - (30%) - Individual
  • SAS online, case study and review - (30%) - 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 81, Internal

Census date:Thursday, 25 Jan 2024
Study Period Dates:Monday, 15 Jan 2024 to Saturday, 02 Mar 2024
Coordinator(s):
Assoc. Professor Shaun Belward
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 26 Hours - Tutorials - A combination of lectures and tutorials.
Restrictions:Enrolment is restricted.
Enrolment Restrictions:
Courses:
  • Master of Data Science (Professional)
Additional: Only International students permitted to enrol.

JCU Online, Study Period 81, External

Census date:Thursday, 25 Jan 2024
Study Period Dates:Monday, 15 Jan 2024 to Saturday, 02 Mar 2024
Coordinator(s):
Assoc. Professor Shaun Belward
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 65 Hours - Online activity - Online resources including readings, screencasts, embedded quizzing
Method of delivery:Online - JCU
Restrictions:Enrolment is restricted.
Enrolment Restrictions:Students in KeyPath Courses
Courses:
  • Course 300104
  • Master of Data Science

JCU Online, Study Period 85, External

Census date:Thursday, 19 Sep 2024
Study Period Dates:Monday, 09 Sep 2024 to Saturday, 26 Oct 2024
Coordinator(s):
Assoc. Professor Shaun Belward
Lecturer(s):
MR Mostafa Shaikh
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 65 Hours - Online activity - Online resources including readings, screencasts, embedded quizzing
Method of delivery:Online - JCU
Restrictions:Enrolment is restricted.
Enrolment Restrictions:Students in KeyPath Courses
Courses:
  • Course 300104
  • Master of Data Science

Townsville Bebegu Yumba, Study Period 81, External

Census date:Thursday, 25 Jan 2024
Study Period Dates:Monday, 15 Jan 2024 to Saturday, 02 Mar 2024
Staff:No staff allocated; see "This Subject In Other Years".
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 65 Hours - Online activity - Online resources including readings, screencasts, embedded quizzing
Method of delivery:Online - JCU
Restrictions:Enrolment is restricted.
Enrolment Restrictions:
Courses:
  • Bachelor of Advanced Science
  • Bachelor of Science