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IM931 - Interdisciplinary Approaches to Machine Learning

  • Module code: IM931
  • Module name: Interdisciplinary Approaches to Machine Learning
  • Department: Centre for Interdisciplinary Methodologies
  • Credit: 15, 20, 30

Content and teaching | Assessment | Availability

Module content and teaching

Module assessment

Assessment group Assessment name Percentage
15 CATS (Module code: IM931-15)
A (Assessed work only) Laboratory Assignment and Report (2000 words) 40%
  Group Presentation 10%
  Final Project and Report (2000 words) 50%
20 CATS (Module code: IM931-20)
A (Assessed work only) Laboratory Assignment and Report (3000 words) 40%
  Group Presentation 10%
  Final Project and Report (3000 words) 50%
30 CATS (Module code: IM931-30)
A (Assessed work only) Laboratory Assignment and Report (3000 words) 40%
  Group Presentation 10%
  Final Project and Report (4000 words) 50%

Module availability

This module is available on the following courses:

Core

N/A

Optional Core

N/A

Optional
  • Postgraduate Social Science Research (L98K) - Year 1
  • Postgraduate Big Data and Digital Futures (L990) - Year 1
  • Postgraduate Big Data and Digital Futures (L990) - Year 2
  • Postgraduate Taught Digital Media and Culture (L99A) - Year 1
  • Postgraduate Taught Digital Media and Culture (L99A) - Year 2
  • Postgraduate Urban Informatics and Analytics (L99C) - Year 1
  • Postgraduate Taught Philosophy (V7PM) - Year 1