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Title
STU23501 – Probability and Theoretical Statistics I
Category
courses
UUID
979407abc87f4dc09a4bb3a171f46b3d
Source URL
https://teaching.scss.tcd.ie/module/stu23501-probability-and-theoretical-statist...
Parent URL
https://www.maths.tcd.ie/undergraduate/modules/minor-stats.php
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2026-03-16T07:00:38+00:00
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STU23501 – Probability and Theoretical Statistics I

Source: https://teaching.scss.tcd.ie/module/stu23501-probability-and-theoretical-statistics-i/ Parent: https://www.maths.tcd.ie/undergraduate/modules/minor-stats.php

Module Code STU23501
Module Name Probability and Theoretical Statistics 1
ECTS Weighting[1] 5 ECTS
Semester taught Semester 1
Module Coordinator/s Professor Simon Wilson

Module Learning Outcomes

On successful completion of this module, students will be able to:

\ LO1. Derive the probability space for simple experiments, and prove simple\ properties of probabilities from its definition;\ LO2. Identify when random variables are independent, and derive conditional\ distributions and expectations;\ LO3. Define the most common discrete and continuous random variables, and\ compute their moments and probabilities, moment and characteristic\ generating functions where appropriate;\ LO4. Define a multivariate distribution and calculate marginal and conditional\ distributions from it;\ LO5. State and prove the laws of averages and of central limit;

Module Content

This is a rigorous development of probability theory from an axiomatic foundation,\ along with some more advanced topics. The topics covered are:\ • Events and probabilities\ • The laws of probability\ • Independence and conditional probability\ • Discrete random variables\ • Continuous random variables\ • Multivariate distributions & independence\ • Moment and characteristic generating functions\ • The law of averages and the central limit theorem\ • Examples and past exam questions

Teaching and learning Methods

Handouts and question sheets, as well as pre-recorded video lectures with accompanying lecture notes are available through Blackboard.

Assessment Details

Assessment Component Brief Description Learning Outcomes Addressed % of total Week set Week Due
Examination In person. To be completed in 2 hours LO1, LO2, LO3, LO4, LO5 100 n/a n/a

Reassessment Details

In person examination (100%)

Contact Hours and Indicative Student Workload

Contact Hours (scheduled hours per student over full module), broken down by: 33 hours
Video lectures and reading notes 33 hours
Laboratory 0 hours
Tutorial or seminar 24 hours
Other 0 hours
Independent study (outside scheduled contact hours), broken down by: 72 hours
Preparation for classes and review of material (including preparation for examination, if applicable) 41 hours
completion of assessments (including examination, if applicable) 18 hours
Total Hours 116 hours

Probability: an Introduction by Grimmett and Welsh, published by Oxford\ University Press.

\ Introduction to Probability Models by Ross, published by Academic Press (10th\ edition or later).

Module Pre-requisites

Prerequisite modules: STU12501, STU12502

Other/alternative non-module prerequisites: e.g. programming languages,\ specified topics, etc.. This information will be particularly relevant for visiting\ students or students taking this module as an approved module (if applicable).

Module Co-requisites

None

Module Website

Blackboard