STAT50080 Foundations of Data Science 1

Academic Year 2023/2024

This is a block taught module that fuses the foundations of data science: applied mathematics, statistics and machine learning with a focus on applications. The module is available to PhD students registered under 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:

Understand the foundations role that applied mathematics, statistics and machine learning play in the field of data science and understanding the linkages and porous boundaries between them.

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 afternoons) 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 material presented during the block taught week. Coursework (End of Trimester) n/a Pass/Fail Grade Scale Yes

100

Carry forward of passed components
No
 
Resit In Terminal Exam
Spring No
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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