Machine Learning & Artificial Intelligence

101 views 8:12 am 0 Comments May 20, 2023
  • Construct reusable and deployable Software systems, with appropriately verified functional coherence.
  • Refactor software systems in correspondence with relevant theories, practice, and discourse in the computing sector.
  • Synthesise knowledge of computing to address complex technical challenges.
  • Assess the legal, social, ethical, and professional issues in research and development contexts in correspondence with the relevant law, codes of conduct, and theory.
  • Defend an argument that addresses a research question(s), using appropriate primary and secondary sources and academic conventions.
  • Plan your post-graduation pathway, with reference to how you will overcome obstacles, and how you will build a personal brand that highlights your professional attributes.
  • Produce work as part of a multidisciplinary team critically appraising practices, approaches, and tools; applying them to enhance development pipelines.
  • Evaluate existing artifacts to identify opportunities, emphasize unique features that would fill a gap, and suggest optimal routes to audiences.
  • Produce prototypes based on your own intellectual property that deliver distinguished experiences, justifying how and why it could engage, immerse an audience, and/or lead to innovation.