University home > Unit and programme catalogues in 2021/22 > Programme catalogue > Faculty of Engineering > School of Engineering Mathematics and Technology > Engineering Mathematics (BEng) > Specification
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Programme code | 4EMAT006U |
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Programme type | Single Honours |
Programme director(s) |
Robert Szalai
|
Faculty | Faculty of Engineering |
School/department | School of Engineering Mathematics and Technology |
Teaching institution | University of Bristol |
Awarding institution | University of Bristol |
Accrediting types: |
Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as an Incorporated Engineer and partially meeting the academic requirement for registration as a Chartered Engineer. (http://www.theiet.org/) This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught masters degrees. (http://www.ima.org.uk/) |
Relevant QAA subject benchmark groups |
Mathematics, statistics and operational research (2023) (benchmark statement)
Engineering (2023) (benchmark statement) |
Mode of study | Full Time |
Programme length | 3 years (full time) |
We believe that there is an increasing need for graduates with a strong mathematical, engineering and computing background who have inter-personal skills, combined with the flexibility to work as team members in a multi-disciplinary engineering environment. The Engineering Mathematics Department's programmes aim to meet this national need. They equip well-qualified entrants with the knowledge, technical and transferable skills that will enable them to play a leading and creative role as mathematicians and engineering professionals in industry, academic research, or elsewhere. Mathematical modelling and analysis are at the heart of modern engineering. Systems as diverse as aircraft, energy harvesters, artificial muscles, communication networks, data mining and bioinformatics have complicated dynamics that cannot be understood without detailed mathematical analysis. Also key to modelling complex systems is the ability to manipulate and analyse data. This analysis often requires us to search for patterns and underlying relationships so that useful knowledge and information can be extracted.
The Engineering Mathematics degree programmes aim to equip students with the necessary tools for mathematical and data modelling, as well as giving them experience in applying these tools across a wide range of engineering problems. Outcome section: Intellectual Skills & Attributes, Prog Intended Learning should be as follows:
*Devise mathematical models for engineering problems.
*Analyse and decompose engineering systems.
*Program and implement simulations in C, C++, Matlab.
*To learn, construct and refine models using experimental data.
*Structured approaches to problem solving.
Programme Intended Learning Outcomes | Learning and Teaching Methods |
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|
Formal lectures, demonstration classes, practical laboratories, computing laboratories, modelling seminars, guided reading, computer aided self- assessment. |
Methods of Assessment | |
Formal written examinations (mid-term progress and end of year), written coursework assignments, laboratory reports. |
Programme Intended Learning Outcomes | Learning and Teaching Methods |
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|
Practical, professional and transferable skills are developed through lectures, examples classes, laboratory experiments, computing labs and group case-study exercises. They are further enhanced during project work and through interactions with project supervisors in later years of the course. |
Methods of Assessment | |
Practical skills are assessed through laboratory notebooks, programming exercises, and technical reports. Many transferable skills are assessed through informal and formal presentations. |
Programme Intended Learning Outcomes | Learning and Teaching Methods |
---|---|
|
Practical, professional and transferable skills are developed through lectures, examples classes, laboratory experiments, computing labs and group case-study exercises. They are further enhanced during project work and through interactions with project supervisors in later years of the course. |
Methods of Assessment | |
Practical skills are assessed through laboratory notebooks, programming exercises, and technical reports. Many transferable skills are assessed through informal and formal presentations. |
Statement of expectations from the students at each level of the programme as it/they develop year on year.
Level C/4 - Certificate |
After the first year students will be have sound knowledge of basic engineering mathematics, discrete mathematics, programming and general engineering |
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Level I/5 - Intermediate |
The second year builds on year one and the students will have developed a deeper understanding of the core subjects and will have begun to explore more advanced topics. Through this, they will have learnt to evaluate the appropriateness of different approaches to solving problems. |
Level H/6 - Honours |
The third year allows more freedom and the students must choose from a selection of specialist courses geared to their degree and are encouraged to take complementary open units to broaden their education. A student at this stage will be able to evaluate evidence, arguments and assumptions to reach sound judgements and to communicate effectively. They should have the qualities need for employment in situations requiring the exercise of personal responsibility, and decision-making in complex and unpredictable circumstances. |
The intended learning outcome mapping document shows which mandatory units contribute towards each programme intended learning outcome.
For information on the admissions requirements for this programme please see details in the undergraduate prospectus at http://www.bristol.ac.uk/prospectus/undergraduate/ or contact the relevant academic department.
Workload Statement
Student workloads in the Engineering Faculty are calculated on the assumption that you will work an average of 40 hours per week over the 30 weeks of the academic year. 10 credits therefore represents about 100 hours of student work. This workload includes all activities related to the delivery and assessment of taught units.
A major component of this load is the time that you spend in class, in contact with the teaching staff, which includes lectures, laboratories, computing classes, tutorials, examples classes and design classes. In the early years of the Engineering programmes this scheduled time typically amounts to 17 -25 hours per week; in the later years this reduces to 7-12 hours as more time is allocated to un-scheduled work on individual or group projects.
Outside timetabled activities you are expected to pursue your own independent learning in order to build your knowledge and understanding of the subjects you are studying. Such independent activities include reviewing lecture material, reading textbooks, working on examples sheets, completing coursework, writing up laboratory notes, preparing for in-class progress tests and revising for examinations.
The 100 hours per 10 credits includes all the time that you will need to spend on completing coursework assignments to the required standard or preparing for and taking examinations. For units that are assessed by coursework alone, the full 100 hours per 10 credits is expected to be used in completing the coursework and so these units may put a higher demand on your time during the normal teaching year. Exams are held in January and May/June while coursework deadlines are spread out through the teaching year. You will therefore need to plan carefully to make sure that you can meet your coursework deadlines while still keeping up with your scheduled classes. Your Department will provide you with a coursework schedule each year to allow you to manage your workload efficiently.
Assessment Statement
Please select the following link for a statement about assessment. This is University of Bristol access only.
https://www.bris.ac.uk/engineering/currentstudents/handbooks/ughandbook/dean.html#assess
The Departmental Web Page: http://www.enm.bris.ac.uk
Undergraduate Admissions Email Address: enm-admissions@bristol.ac.uk
General Departmental Address -
Department of Engineering Mathematics,
University of Bristol
BS8 1TR
Tel: +44 (0) 117 33 17077
Fax: +44 (0) 117 954 6833
Unit Name | Unit Code | Credit Points | Status | |
---|---|---|---|---|
Engineering Mathematics 1 | EMAT10100 | 20 | Mandatory | TB-4 |
Discrete Mathematics | EMAT10704 | 20 | Mandatory | TB-4 |
Mathematics and Data Modelling 1 | EMAT10008 | 20 | Mandatory | TB-4 |
Engineering Science | MENG10004 | 40 | Mandatory | TB-4 |
Introduction to Computer Programming | EMAT10007 | 10 | Mandatory | TB-1 |
Further Computer Programming | EMAT10006 | 10 | Mandatory | TB-2 |
Certificate of Higher Education | 120 |
Unit Name | Unit Code | Credit Points | Status | |
---|---|---|---|---|
Engineering Mathematics 2 | EMAT20200 | 20 | Mandatory | TB-4 |
Mathematical and Data Modelling 2 | EMAT22220 | 20 | Mandatory | TB-4 |
Discrete Mathematics 2 | EMAT20540 | 10 | Mandatory | TB-1 |
Engineering Physics II | EMAT20010 | 10 | Mandatory | TB-1 |
Numerical Methods in Matlab | EMAT20920 | 10 | Mandatory | TB-1 |
Applied Linear Algebra | EMAT20012 | 10 | Mandatory | TB-2 |
Introduction to Data Science | EMAT20011 | 10 | Mandatory | TB-2 |
Principles of Professional Practice | MENG20008 | 10 | Mandatory | TB-2 |
Take 20cps from the units listed below: | ||||
Aerodynamics | AENG21100 | 20 | Optional | TB-4 |
Dynamics and Control | MENG20004 | 20 | Optional | TB-4 |
C for Embedded Systems | EENG20004 | 10 | Optional | TB-2 |
Signals and Systems | EENG21000 | 10 | Optional | TB-1 |
Or select 20 credit points from the Language units listed below: | ||||
Follow-on French | UWLP20001 | 20 | Optional | TB-4 |
Advanced French | UWLP20002 | 20 | Optional | TB-4 |
Follow-on German | UWLP20003 | 20 | Optional | TB-4 |
Advanced German | UWLP20004 | 20 | Optional | TB-4 |
Follow-on Spanish | UWLP20005 | 20 | Optional | TB-4 |
Advanced Spanish | UWLP20006 | 20 | Optional | TB-4 |
Pre-intermediate Japanese | UWLP20008 | 20 | Optional | TB-4 |
Pre-intermediate Mandarin Chinese | UWLP20009 | 20 | Optional | TB-4 |
Follow-on Italian | UWLP20010 | 20 | Optional | TB-4 |
Or select 20 credit points from the University wide Open Units below: | ||||
Sustainable Development | UNIV10001 | 20 | Optional | TB-2 |
City Futures: Migration, Citizenship, and Planetary Change | UNIV10005 | 20 | Optional | TB-2 |
World in Crisis? | GEOG16001 | 20 | Optional | TB-1 |
Diploma of Higher Education | 120 |
Units EMAT30005 and EMAT30009 are must pass. For the definition of must pass units please see the Glossary of Terms from Annex 1 to the Regulations and Code of Practice for Taught Programmes.
Unit Name | Unit Code | Credit Points | Status | |
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Continuum Mathematics | EMAT31410 | 20 | Mandatory | TB-4 |
Introduction to Artificial Intelligence | EMAT31530 | 20 | Mandatory | TB-4 |
Select one of the following: | ||||
Mathematical and Data Modelling 3 | EMAT30005 | 30 | Optional | TB-4 |
Technical Project | EMAT30009 | 30 | Optional | TB-4 |
Select 30 credit points from the following list: | ||||
Nonlinear Dynamics and Chaos | EMAT33100 | 10 | Optional | TB-1 |
Optimisation Theory and Applications | EMAT30670 | 10 | Optional | TB-1 |
Applied Statistics | EMAT30007 | 10 | Optional | TB-2 |
Control Theory | EMAT30014 | 10 | Optional | TB-2 |
Scientific Computing | EMAT30008 | 10 | Optional | TB-2 |
Select 20 credit points from the following list: | ||||
Behaviour of Dynamic Systems | MENG30006 | 20 | Optional | TB-1 |
Nonlinear Dynamics and Chaos | EMAT33100 | 10 | Optional | TB-1 |
Optimisation Theory and Applications | EMAT30670 | 10 | Optional | TB-1 |
Scientific Computing | EMAT30008 | 10 | Optional | TB-2 |
Applied Statistics | EMAT30007 | 10 | Optional | TB-2 |
Control Theory | EMAT30014 | 10 | Optional | TB-2 |
Applied Data Science | COMS30051 | 20 | Optional | TB-2 |
Computational Neuroscience | COMS30016 | 10 | Optional | TB-1 |
Applied Data Science (Teaching Unit) | COMS30050 | 0 | Optional | TB-2 |
Computational Neuroscience (Teaching Unit) | COMS30017 | 0 | Optional | TB-1 |
Time Series Analysis | MATH33800 | 20 | Optional | TB-1 |
Biophysics 321 | PHYS31211 | 10 | Optional | TB-1 |
Analytical Mechanics | PHYS30008 | 10 | Optional | TB-2 |
Numerical and Simulation Methods for Aerodynamics | AENG30018 | 10 | Optional | TB-1 |
Environmental Physics | PHYS30027 | 10 | Optional | TB-2D |
Information Theory | MATH30032 | 20 | Optional | TB-1 |
Engineering Mathematics (BEng) | 120 |
Unit Pass Mark for Undergraduate Programmes:
For details on the weightings for classifying undergraduate degrees, please see the Agreed Weightings, by Faculty, to be applied for the Purposes of Calculating the Final Programme Mark and Degree Classification in Undergraduate Programmes.
For detailed rules on progression please see the Regulations and Code of Practice for Taught Programmes and the relevant faculty handbook.
Please refer to the specific progression/award requirements for programmes with a preliminary year of study, the Gateway programmes and International Foundation programmes.
All undergraduate degree programmes allow the opportunity for a student to exit from a programme with a Diploma or Certificate of Higher Education.
Integrated Master's degrees may also allow the opportunity for a student to exit from the programme with an equivalent Bachelor's degree where a student has achieved 360 credit points, of which 90 must be at level 6, and has successfully met any additional criteria as described in the programme specification.
The opportunities for a student to exit from one of the professional programmes in Veterinary Science, Medicine, and Dentistry with an Award is outlined in the relevant Programme Regulations (which are available as an annex in the Regulations and Code of Practice for Taught Programmes).
An Ordinary degree can be awarded if a student has successfully completed at least 300 credits with a minimum of 60 credits at Level 6.
The pass mark for the professional programmes in Veterinary Science, Medicine and Dentistry is 50 out of 100. The classification of a degree in the professional programmes in Veterinary Science, Medicine, and Dentistry is provided in the Regulations and Code of Practice for Taught Programmes.
Please note: This specification provides a concise summary of the main features of the programme and the learning outcomes that a typical student might reasonably be expected to achieve and demonstrate if he/she takes full advantage of the learning opportunities that are provided.
University of Bristol,
Senate House,
Tyndall Avenue,
Bristol, BS8 1TH, UK
Tel: +44 (0)117 928 9000