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Unit information: Mathematical and Data Modelling 3 in 2021/22

Unit name Mathematical and Data Modelling 3
Unit code EMAT30005
Credit points 30
Level of study H/6
Teaching block(s) Teaching Block 4 (weeks 1-24)
Unit director Professor. Eddie Wilson
Open unit status Not open


School/department Department of Engineering Mathematics
Faculty Faculty of Engineering

Description including Unit Aims

This unit will build on the Mathematical and Data Modelling 1 and 2 units in the first two years of the engineering mathematics degree programmes and complete our students' thorough grounding in team-based mathematical modelling and problem solving applied to real world problems.

The unit will be divided into 3 project phases each taking 7 term-time weeks. At the start of each phase real world projects will be presented to the students mostly drawn from external stakeholders. Students will then be allocated to groups of 4-6 to work on each project.

During each project students will be trained in the problem solving approach, and work on and be guided towards and through particular mathematical/computational solution methodologies by the supervising academics. At the end of the phase each group of students will present their results and submit a written technical report.


To give students a thorough grounding in mathematical modelling and problem solving applied to real world engineering / applied science problems. The course will cover both model-centric and data-centric paradigms.

Intended Learning Outcomes

At the end of the course students will:

  1. Have mathematically modelled a range of real world problems drawn from engineering, economics, and the physical, chemical and biological sciences.
  2. Have experience of finding, reading and interpreting technical information.
  3. Understand the mathematical modelling cycle, of model, analysis, prediction/interpretation, and iterative refinement.
  4. Understand the differences between and relative merits of model-centric and data-centric paradigms.
  5. Be able to identify and draw upon a range of appropriate mathematical and computational methodologies when presented with new and unfamiliar problems.
  6. Have practised teamwork and time management.
  7. Have learnt how to present and interpret mathematical results to/for a non-mathematical engineering audience.
  8. Have experience of writing substantial technical reports

Teaching Information

Teaching will be delivered through a combination of synchronous and asynchronous sessions including online group meetings, and presentations. The core activity will be in the form of group modelling projects on topics of interest to academia, business, or industry.

Assessment Information

4 x Summative Assessment, 100% - Coursework. This will assess all ILOs.


If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. EMAT30005).

How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours of study to complete. Your total learning time is made up of contact time, directed learning tasks, independent learning and assessment activity.

See the Faculty workload statement relating to this unit for more information.

The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit. The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates within the Regulations and Code of Practice for Taught Programmes.