STAT50090 Foundations of Data Science II

Academic Year 2023/2024

This is a follow on module to Foundations of Data Science I, building on the applied mathematics, statistics and machine learning topics introduced there. The module is available to PhD students registered to the Science Foundations Ireland Centre for Research Training in Foundations of Data Science only.

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Curricular information is subject to change

Learning Outcomes:

A deeper level of understanding of the foundational role applied mathematics, statistics and machine learning play in the field of data science.

Student Effort Hours: 
Student Effort Type Hours
Lectures

25
Total

25
Approaches to Teaching and Learning:
Block taught lectures over one week, or over two weeks (in the afternoon) if pandemic restrictions are in place. 
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
Assignment: Assignment based on materials delivered during the block taught week. Coursework (End of Trimester) n/a Pass/Fail Grade Scale Yes

100

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

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 

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