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Unit information: Mathematical and Data Modelling in 2021/22

Unit name Mathematical and Data Modelling
Unit code EMATM0037
Credit points 10
Level of study M/7
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Dr. Giuggioli
Open unit status Not open
Pre-requisites

None

Co-requisites

None

School/department Department of Engineering Mathematics
Faculty Faculty of Engineering

Description

This unit will ground students in team-based mathematical modelling and problem solving applied to real world problems. The unit will be divided into 2 six week quarters. At the start of each quarter, the students are split into teams of 3-6 and present a sequence of real-world problems, one for each team. During the quarter, the 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 academic. At the end of the quarter, each group of students will present their results and submit a written technical report.

Aims:

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

  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. Achieve advanced level of writing in their technical reports.

Teaching details

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 Details

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

Resources

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. EMATM0037).

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