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STAT40690

Academic Year 2024/2025

Quantitative Methods for Engineers (STAT40690)

Subject:
Statistics & Actuarial Science
College:
Science
School:
Mathematics & Statistics
Level:
4 (Masters)
Credits:
5
Module Coordinator:
Assoc Professor Patrick Murphy
Trimester:
Autumn
Mode of Delivery:
Blended
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module is aimed at all students in Engineering who are studying for Masters programmes.

The module will introduce students to research methods in Engineering.

We will explore fundamental principles of importance in all quantitative research including Bias, Representativeness, Variability, Sampling, Randomisation etc.

We will look in detail at how data should be collected including Survey Design, Sample Design and Design of Experiments.

We will consider how data should be summarised and described.

We will examine some common statistical techniques used in inferential statistics.

Finally we will consider how the results of our studies should be reported.

The emphasis throughout this module will be on supplying students with the knowledge and skills required to perform studies of their own and to critically evaluate studies in the literature.

About this Module

Learning Outcomes:

Students will be able to critically assess studies in the literature and will be able to compute relevant descriptive statistics, conduct hypothesis tests and apply basic regression models to data. They will also be required to conduct a study of their own during the course. The course will require studens to become familiar with the use of statistical software. Finally they will gain experience in writing a research report.

Student Effort Hours:
Student Effort Type Hours
Lectures

18
Autonomous Student Learning

101
Total

119

Approaches to Teaching and Learning:
Lectures, Tutorials, Activity Based Learning

Requirements, Exclusions and Recommendations
Learning Recommendations:

While no knowledge of statistics and probability is assumed, it would be beneficial if students had some prior knowledge.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Group Work Assignment: Group projects during term Week 1, Week 2, Week 3, Week 4, Week 5, Week 6, Week 7, Week 8, Week 9, Week 10, Week 11, Week 12 Alternative linear conversion grade scale 40% No
20
 No
Quizzes/Short Exercises: Online and in person quizzes Week 1, Week 2, Week 3, Week 4, Week 5, Week 6, Week 7, Week 8, Week 9, Week 10, Week 11, Week 12 Alternative linear conversion grade scale 40% No
80
 No

Carry forward of passed components
Yes
 

Remediation Type Remediation Timing
In-Module Resit Prior to relevant Programme Exam Board
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?

Assessment will be by MCQ, once the MCQs have been graded feedback will be provided in class not online.

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 - 16:50
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