Unit information: Mathematical and Data Modelling in 2022/23

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. Taffetani
Open unit status	Not open
Units you must take before you take this one (pre-requisite units)	None
Units you must take alongside this one (co-requisite units)	None
Units you may not take alongside this one
School/department	School of Engineering Mathematics and Technology
Faculty	Faculty of Engineering

Unit Information

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

Your learning on this unit

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.

How you will learn

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.

How you will be assessed

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).

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.

Assessment
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.