ÅÝܽ¶ÌÊÓƵ

School of Engineering and Informatics (for staff and students)

Research Methods for AI (985G5)

Research Methods for Artificial Intelligence

Module 985G5

Module details for 2024/25.

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.

Dr Johanna Senk

Assess convenor
/profiles/589762

Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.

The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

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

School Office opening hours: School Office open Monday – Friday 09:00-15:00, phone lines open Monday-Friday 09:00-17:00
School Office location [PDF 1.74MB]