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STAT20200

Academic Year 2026/2027

Probability (STAT20200)

Subject:
Statistics & Actuarial Science
College:
Science
School:
Mathematics & Statistics
Level:
2 (Intermediate)
Credits:
5
Module Coordinator:
Dr Matthew Dickson
Trimester:
Autumn
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module is an introduction to probability, with examples and applications. This includes formulating a probabilistic experiment in a mathematical way, calculating probabilities of events, updating probabilities given known information and understanding the quantitative outputs of an experiment by their distributions and expected values.

About this Module

Learning Outcomes:

An ability to understand the origins and development of probability theory. An ability to appropriately use many of the classic discrete probability distributions. An ability to calculate and manipulate probabilities given additional information.

Indicative Module Content:

Topics covered will include: outcomes, events, and probability; independence; discrete random variables and distributions; expected value, moments and variance; permutations and combinations; binomial, multinomial and Poisson distributions; conditional probability and expectation.

The United Nations identified seventeen Sustainable Development Goals (SDGs) as core to the 2030 Agenda for Sustainable Development, and UCD contributes in general to SDG 4 Quality Education. Further SDGs explored within this module if relevant are listed below. A scale of 1 - 5 indicates the extent to which the SDG is covered.


 

Student Effort Hours:
Student Effort Type Hours
Lectures

24
Tutorial

10
Autonomous Student Learning

72
Total

106

Approaches to Teaching and Learning:
Lectures, tutorials, enquiry and problem-based learning.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Incompatibles:
STAT10010 - Research Methods, STAT20060 - Statistics and Probability, STAT20110 - Introduction to Probability


 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Exam (In-person): Written examination End of trimester
Duration:
2 hr(s)
 Standard conversion grade scale 40% No
80
 No
Quizzes/Short Exercises: 6 Brightspace quizzes Week 2, Week 4, Week 6, Week 8, Week 10, Week 12 Standard conversion grade scale 40% No
20
 No

Carry forward of passed components
No
 

Resit In Terminal Exam
Spring Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Blerta Begu Tutor

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Autumn Lecture Offering 1 Week(s) - Autumn: All Weeks Fri 15:00 - 15:50
Autumn Lecture Offering 1 Week(s) - Autumn: All Weeks Tues 10:00 - 10:50
Autumn Tutorial Offering 1 Week(s) - 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 Fri 14:00 - 14:50
Autumn Tutorial Offering 2 Week(s) - 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 Wed 14:00 - 14:50
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