This is an archived handbook for a previous year. The current undergraduate and postgraduate handbooks can be viewed using the links above.
Undergraduate Handbook 2025-2026 (archived)
Module ENGI2211: Engineering Mathematics 2
Department: Engineering
ENGI2211: Engineering Mathematics 2
| Type | Level | Credits | Availability | Module Cap | Location |
|---|---|---|---|---|---|
| Tied | 2 | 20 | Available in 2025/2026 | Durham |
Tied To
- H100: General Engineering
- H103: General Engineering
- H105: General Engineering with Year Abroad
- H106: General Engineering with Year Abroad
- H107: General Engineering with Placement Year
- H108: General Engineering with Placement Year
- H211: Engineering (Civil)
- H212: Engineering (Civil) with Year Abroad
- H213: Engineering (Civil) with Placement
- H214: Engineering (Civil)
- H215: Engineering (Civil) with Year Abroad
- H216: Engineering (Civil) with Placement
- H311: Engineering (Mechanical)
- H312: Engineering (Mechanical) with Year Abroad
- H313: Engineering (Mechanical) with Placement
- H314: Engineering (Mechanical)
- H315: Engineering (Mechanical) with Year Abroad
- H316: Engineering (Mechanical) with Placement
- H411: Engineering (Aeronautical)
- H412: Engineering (Aeronautical) with Year Abroad
- H413: Engineering (Aeronautical) with Placement
- H511: Engineering (Electrical)
- H512: Engineering (Electrical) with Year Abroad
- H513: Engineering (Electrical) with Placement
- H514: Engineering (Electrical)
- H515: Engineering (Electrical) with Year Abroad
- H516: Engineering (Electrical) with Placement
- H711: Engineering (Electronic)
- H712: Engineering (Electronic) with Year Abroad
- H713: Engineering (Electronic) with Placement
- H714: Engineering (Electronic)
- H715: Engineering (Electronic) with Year Abroad
- H716: Engineering (Electronic) with Placement
- H811: Engineering (Renewable Energy)
- H812: Engineering (Renewable Energy) with Year Abroad
- H813: Engineering (Renewable Energy) with Placement
- H911: Engineering (Bioengineering)
- H912: Engineering (Bioengineering) with Year Abroad
- H913: Engineering (Bioengineering) with Placement
Pre-requisites
- MATH1551
Corequisites
- None
Excluded Combinations
- 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 department’s Academic Adviser programme.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total Hours | Attendance 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 | Component Weighting | Element | Length/Duration | Element Weighting | Resit Opportunity |
|---|---|---|---|---|---|
| Coursework | 30% | Assignment | 100% | ||
| Written examination | 70% | On Campus Written Examination | 2 hours | 100% |
Formative Assessment
Formative assessment is provided by means of compulsory formative problem sheets.
Students who do not attend monitored activities shown under Teaching Methods
and Learning Hours, or who fail to complete the summative or formative
assessment(s) specified above, may be subject to the Academic Progress
procedures defined in the University's General Regulation V, and may be
required to leave the University.