ACM40910 Research Project II

Academic Year 2022/2023

This is a graduate level research project representing a substantial piece of independent research in data and computational science. The student will be expected to write a dissertation giving an original exposition of the research topic. The dissertation should demonstrate a genuine in-depth mastery of a significant area of research in data and computational science, and should show an understanding of the wider context in which it applies.

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Curricular information is subject to change

Learning Outcomes:

On successful completion of this project the student will have:

(a) Gained an in-depth understanding of a significant topic in data and computational science research.

(b) Written a dissertation on the topic, including a review of the theoretical background.

(c) Given an oral presentation communicating the key aspects and results of their project.

Indicative Module Content:

Student Effort Hours: 
Student Effort Type Hours
Autonomous Student Learning

600

Total

600

Approaches to Teaching and Learning:
Research project guided by Academic Supervisor. 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Project: Written Dissertation Throughout the Trimester n/a Standard conversion grade scale 40% No

80

Presentation: Presentation in Graduate Seminar Varies over the Trimester n/a Standard conversion grade scale 40% No

20


Carry forward of passed components
No
 
Resit In Terminal Exam
Autumn No
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Feedback individually to students, on an activity or draft prior to summative assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Dr Michelle Carey Lecturer / Co-Lecturer
Assoc Professor Xuefeng Cui Lecturer / Co-Lecturer
Dr Isabella Gollini Lecturer / Co-Lecturer
Dr James Herterich Lecturer / Co-Lecturer
Professor Brendan Murphy Lecturer / Co-Lecturer
Dr Conor Sweeney Lecturer / Co-Lecturer
Assoc Professor Lennon Ó Náraigh Lecturer / Co-Lecturer
Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 

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