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POL42560

Academic Year 2024/2025

AI and Large Language Models (POL42560)

Subject:
Politics
College:
Social Sciences & Law
School:
Politics & Int Relations
Level:
4 (Masters)
Credits:
10
Module Coordinator:
Assoc Professor James Cross
Trimester:
Spring
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

TBC

About this Module

Learning Outcomes:

TBC

Student Effort Hours:
Student Effort Type Hours
Autonomous Student Learning

200

Lectures

24

Total

224


Approaches to Teaching and Learning:
- Seminar discussions
- Project-based learning
- Peer-reviewed research project

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy  
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Group Work Assignment: Group presentations Week 11, Week 12 Graded No

25

No
Group Work Assignment: Group project Week 3, Week 4, Week 5, Week 6, Week 7, Week 8, Week 9, Week 10, Week 11, Week 12 Graded No

50

No
Reflective Assignment: Project reflection Week 11, Week 12, Week 14, Week 15 Graded No

25

No

Carry forward of passed components
No
 

Remediation Type Remediation Timing
In-Module Resit Prior to relevant Programme Exam Board
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Group/class feedback, post-assessment
• Self-assessment activities

How will my Feedback be Delivered?

Not yet recorded.