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  3. Digital Methods

Digital Methods (ARTS90042)

Graduate courseworkPoints: 6.25On Campus (Parkville)

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Overview

Availability
May
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This skills-led course is taught in computer labs. Students will learn how to collect website and social media data using both screen-scraping techniques and through APIs (Application Program Interfaces). The course is designed for non-programmers; no coding skills will be required. Once collected, students will learn how to clean and then analyse the data using two methods: content analysis and social network analysis. Finally, the course will introduce students to data visualisation techniques.

Intended learning outcomes

On successful completion of this subject, students should have:

  • The ability to collect, clean and analyse original digital media data using a variety of tools
  • An understanding of the benefits and restrictions of these methods across different media
  • Gained a critical understanding of research design, research methods and ethics when working with digital data
  • An ability to reflect upon their own research work in relation to the content of the module
  • Enhanced engagement with leading-edge research in particular areas of the Humanities and Social Sciences today.

Generic skills

This subject will contribute, through teaching and discussion with academic staff and peers, to developing skills and capacities including those identified in the University-defined Graduate Attributes for the PhD, in particular:

  • The capacity to contextualise research within an international corpus of specialist knowledge
  • An advanced ability to engage in critical reflection, synthesis and evaluation of research-based and scholarly literature
  • An advanced understanding of key disciplinary and multi-disciplinary norms and perspectives relevant to the field.

Last updated: 8 November 2024