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Foundation Fortnight (STAT0027)

Key information

Faculty
Faculty of Mathematical and Physical Sciences
Teaching department
Statistical Science
Credit value
0
Restrictions
This module is only available to students registered on taught postgraduate degree programmes offered by the Department of Statistical Science, or jointly with other departments.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This (non-credit bearing) module aims to review the prerequisite undergraduate material assumed for the further study of statistics in the taught postgraduate degree programmes offered by the Department of Statistical Science, or jointly with other departments. Students will review and complete exercises on basic probability theory, statistical estimation and hypothesis testing, practical statistics and associated computing.

Indicative Content - Introduction to probability, random variables, distributions, expectation, and stochastic processes. Introduction to estimation, descriptive statistics, hypothesis testing, categorical data, linear regression, Bayesian statistics, and R.

Key Texts - Available from .

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
100% Other form of assessment
Mark scheme
Pass/Fail

Other information

Number of students on module in previous year
61
Module leader
Dr Javier Rubio Alvarez
Who to contact for more information
stats.pgt@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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Important information

The catalogue has been updated with key information about the modules that will run during the 2024/25 academic session. Current and prospective students can browse through the catalogue to consider possible module choices for the coming year.

Please note,听information in the catalogue is听subject to change as teaching and assessment arrangements for 2024/25 may need to be adjusted in line with the University's Feedback and Assessment principles and operating model.

Centrally managed exam durations will be provided on students' individual exam timetables. Arrangements for locally managed exams and in-class activity will be confirmed by the teaching department for the module.

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