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ENGI2211: Engineering Mathematics 2

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Type	Tied
Level	2
Credits	20
Availability	Available in 2025/2026
Module Cap
Location	Durham
Department	Engineering

Prerequisites

MATH1551

Corequisites

None

Excluded Combinations of Modules

None

Aims

To provide a working knowledge of probability and statistics and advanced mathematical methods for modelling engineering problems.

Content

Lecture courses: Probability and Statistics; and Numerical Methods
Academic advisor meetings

Learning Outcomes

Subject-specific Knowledge:

Probability and statistics for engineers
Advanced mathematical methods for engineering problems
AHEP4 Learning Outcomes: In order to satisfy Professional Engineering Institution (PEI) accreditation requirements the following Accreditation of Higher Education Programmes (AHEP4) Learning Outcomes are assessed within this module:
C1. Apply knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems (assessed by coursework and exam).
C2. Analyse complex problems to reach substantiated conclusions using first principles of mathematics, statistics, natural science and engineering principles (assessed by coursework and exam).
C3. Select and apply appropriate computational and analytical techniques to model complex problems, recognising the limitations of the techniques employed (assessed by coursework and exam).

Subject-specific Skills:

Application of data analysis techniques using statistics and numerical methods

Key Skills:

Numerical skills
Time and resource management

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

The courses in Probability and Statistics and Numerical Methods are covered in lectures, and are reinforced by regular problem sheets, leading to the required problem solving capability.
Assessment is through coursework which enables each student to demonstrate an ability to analyse and solve complex and detailed problems.
Students are encouraged to make use of staff 'Surgeries' (otherwise "Office Hours") to discuss any aspect of the module with teaching staff on a one-to-one basis. These are sign-up sessions available for up to one hour per week.
Tutorial sessions form part of the departments Academic Adviser programme.

Teaching Methods and Learning Hours

Activity	Number	Frequency	Duration	Total	Monitored
Lectures	40	2 per week	1 hour	40
Surgeries	20	As required, weekly sign-ups throughout the year	Optional attendance as required	10
Revision Classes	1		1 hour	1
Tutorials	7		1 hour	7	Yes
Preparation and Reading				142
Total				200

Summative Assessment

Component: Coursework		Component Weighting: 30%
Element	Length / Duration	Element Weighting	Resit Opportunity
Assignment		100	Yes

Component: Written examination		Component Weighting: 70%
Element	Length / Duration	Element Weighting	Resit Opportunity
On Campus Written Examination	2 hours	100	Yes

Formative Assessment

Formative assessment is provided by means of compulsory formative problem sheets.

More information

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