Not recorded
This is an intensive module for PhD students in ML-Labs, the SFI Centre for Research Training in Machine Learning. The first weeks of a student's experience at ML-Labs is a mandatory, intensive, cohort-based programme of activities known as the Bootcamp.
The goals of the module are to:
- Build relationships amongst the student cohort.
- Normalise existing skills in the cohort into a core set of machine learning fundamentals and engineering practices.
- Start building an awareness amongst the cohort of the applications of ML and how ML more broadly impacts on society.
- Begin training students in core research skills.
- Provide an opportunity for matching students with supervisors and projects.
The goals of the module are to:
- Build relationships amongst the student cohort.
- Normalise existing skills in the cohort into a core set of machine learning fundamentals and engineering practices.
- Start building an awareness amongst the cohort of the applications of ML and how ML more broadly impacts on society.
- Begin training students in core research skills.
- Provide an opportunity for matching students with supervisors and projects.
About this Module
Student Effort Hours:
| Student Effort Type | Hours |
|---|---|
Not yet recorded. |
|
Requirements, Exclusions and Recommendations
Not applicable to this module.
Module Requisites and Incompatibles
Not applicable to this module.
Assessment Strategy
| Description | Timing | Component Scale | % of Final Grade | ||
|---|---|---|---|---|---|
Not yet recorded. |
|||||
Carry forward of passed components
Not yet recorded
Not yet recorded
| Remediation Type | Remediation Timing |
|---|---|
Not yet recorded |
|
Not yet recorded
| Name | Role |
|---|---|
| Dr Antonella Ferrecchia | Lecturer / Co-Lecturer |
| Assoc Professor Georgiana Ifrim | Lecturer / Co-Lecturer |