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 |
Pre-requisites | |
Co-requisites |
None |
School/department | School of Engineering Mathematics and Technology |
Faculty | Faculty of Engineering |
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.
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.
At the end of the course students will:
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.
3 x Summative Assessment, 100% - Coursework. This will assess all ILOs.
There is no standard set of textbooks for this course. Each problem presented will typically be accompanied by a couple of references. However, students will be encouraged to use the library and internet to discover any missing technical information not included in the problem presentation.