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| Level | Credits | Term | Type |
|---|---|---|---|
| 6 or 7 | 15 | 2 | Departmental |
Module description
This module aims to introduce several fundamental ways by which scalability plays a role in statistical data science, namely large data (both in the number of observations and the number of covariates) and large models (with inferential, engineering and computational implications).
Further details are available in the STAT0043 UCL Module Catalogue entry.
Standard prerequisites
STAT0041 and STAT0042, or one of COMP0078 / COMP0088
A strong background in linear algebra, calculus in multiple dimensions and the basics of probability is essential.
Registration process
Undergraduates
STAT0043 is offered as an elective. Prospective elective students who have taken the standard prerequisites should simply register for STAT0043 on Portico and await a decision. Prospective elective students who do not satisfy the standard prerequisiters must additionally consult a member of staff in the Department of Statistical Science.
Postgraduates
STAT0043 is specified as a formal option within the MSc Computational Statistics and Machine Learning programme. Students from this programme should simply register for STAT0043 on Portico and await a decision. It is not necessary to register separately with a member of staff in the Department of Statistical Science (successful admission to the programme already demonstrates that the prerequisites can be met).
STAT0043 is also offered as an elective. Prospective elective students who have taken the standard prerequisites should simply register for STAT0043 on Portico and await a decision. Prospective elective students who do not satisfy the standard prerequisiters must additionally consult a member of staff in the Department of Statistical Science.