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Unit of Study AIT93001 - Big Data Analysis and Tools (2018)

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Unit Snapshot

  • Pre-requisites

      - Data Management Systems AND - Computational Intelligence and Machine Learning

Learning outcomes and graduate attributes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:

GA1: Intellectual rigour, GA2: Creativity, GA3: Ethical practice, GA4: Knowledge of a discipline, GA5: Lifelong learning, GA6: Communication and social skills, GA7: Cultural competence
GA1 GA2 GA3 GA4 GA5 GA6 GA7
1 identify, manipulate and apply Big Data storage and processing technologies
2 acquire and clean large data sets
3 extract features and model large data sets
4 design algorithms and architectures for processing large data sets to extract patterns and information
5 develop natural language processing algorithms for text mining

On completion of this unit, students should be able to:

  1. identify, manipulate and apply Big Data storage and processing technologies
    • GA1:
    • GA4:
  2. acquire and clean large data sets
    • GA4:
  3. extract features and model large data sets
    • GA1:
    • GA4:
  4. design algorithms and architectures for processing large data sets to extract patterns and information
    • GA1:
    • GA2:
  5. develop natural language processing algorithms for text mining
    • GA1:
    • GA2:
    • GA4: