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School of Engineering and Informatics (for staff and students)

Research Methods for AI (985G5)

Research Methods for Artificial Intelligence

Module 985G5

Module details for 2025/26.

15 credits

FHEQ Level 7 (Masters)

Module Outline

This module will develop your skills at scientific communication and comprehension focused on the field of artificial intelligence. The module is structured to give you practical experience in several important aspects including:
• Efficient and effective methods for reading papers.
• Concise and precise scientific writing.
• Visual presentation of concepts and results.
• Effective poster and oral presentations
• Constructive and critical scientific review.
• Evaluation and presentation of evidence.

Module learning outcomes

Identify and communicate key methodological aspects from published research in AI and contrast these with alternative approaches.

Critique the scientific content and presentation of published research in AI.

Devise novel visual aids to concisely articulate key concepts from published research in AI.

Present an analytic evaluation of the evidence in published AI research and discuss how it supports a hypothesis.

TypeTimingWeighting
Coursework100.00%
Coursework components. Weighted as shown below.
PresentationT2 Week 8 (20 minutes)40.00%
ReportA2 Week 1 60.00%
Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.

TermMethodDurationWeek pattern
Spring SemesterSeminar1 hour11111111111
Spring SemesterSeminar2 hours11111111111

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

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School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, ÑÇÖÞÇéÉ«, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

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