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2024/25 Taught Postgraduate Module Catalogue

COMP5995M Research Seminar

15 creditsClass Size: 150

Module manager: TBC
Email: TBC

Taught: Semester 1 (Sep to Jan), Semester 2 (Jan to Jun) View Timetable

Year running 2024/25

This module is not approved as an Elective

Module summary

In this research informed module, students embark on an intellectual journey, cultivating research skills and critical thinking. This module fosters an environment where students engage with cutting-edge topics, explore research methodologies, and contribute to scholarly discussions. Through interactive seminars, students refine their ability to critically evaluate existing literature, formulate research questions, and design methodologically sound studies. Emphasising collaboration and peer feedback, the module nurtures a vibrant research community. By the module's conclusion, students emerge with enhanced research skills, ready to contribute meaningfully to the ongoing discourse within their respective academic fields.


Learning outcomes
On successful completion of this module a student will have demonstrated the ability to:
1. select and critically evaluate technical literature and other sources of information to solve complex problems. (M4)
2. identify and discuss ethical, sustainability and security concerns informed by best practice, ethical frameworks and codes of conduct and make reasoned decisions. (M7, M8, M10)
3. collectively work on a shared endeavour to develop understanding of an advanced topic and support colleagues during the process. (M16)
4. communicate effectively complex topics related to Computer Science to technical and non-technical audiences, selecting appropriate methods of communication. (C17, M17)
5. reflect on their level of mastery of subject knowledge and skills and plan for personal development. (C18, M18)

Skills Learning Outcomes
a. Technical,
b. Communication,
c. Teamwork,
d. Time management,
e. Problem solving,
f. Active learning,
g. Reflection,
h. Critical thinking,
i. Academic writing,
j. Ethics


Students will work in groups guided by a member of academic staff to engage and explore a contemporary topic in Computer Science by engaging with relevant research outputs.

Seminars topics will be available in research strengths of the School of Computing and may include, but are not limited to:
• Computer Graphics
• Algorithms & Complexity
• Distributed Systems
• Artificial Intelligence
• Scientific Computation

Methods of Assessment

We are currently refreshing our modules to make sure students have the best possible experience. Full assessment details for this module are not available before the start of the academic year, at which time details of the assessment(s) will be provided.

Assessment for this module will consist of;

1 x Reflective logs
1 x Discussion engagement
1 x Survey
1 x Presentation

Opportunities for Formative Feedback

During the seminar series students will receive formative feedback on their presentation and their engagement. Feedback will be provided on the reflective logs and in the online discussions.

Reading list

The reading list is available from the Library website

Last updated: 30/04/2024


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