Unit name | Applied Linear Algebra |
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Unit code | EMAT20012 |
Credit points | 10 |
Level of study | I/5 |
Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
Unit director | Dr. Szalai |
Open unit status | Not open |
Pre-requisites | |
Co-requisites | |
School/department | School of Engineering Mathematics and Technology |
Faculty | Faculty of Engineering |
The unit will teach some practical aspects of matrix linear algebra that is applicable to engineering problems such as in large-scale data analysis and solution of linear differential equations. By the end of the unit the students will be able to understand the theory behind techniques to tackle large scale linear problems in the context of specific applications, such as data fitting, model reduction and model prediction. Also how to apply these methods to practical problems via numerical implementation.
Upon successful completion of the unit students will be able to:
Teaching will be delivered through a combination of synchronous and asynchronous sessions, including lectures, supported by live online sessions, problem sheets and self-directed exercises. The unit will be supported by weekly workshops, which will provide blended learning involving class discussion, problem solving, and/or group presentations. Students will be expected to actively participate in the workshops, and engage with readings, self-directed exercises, and problem-solving activities
The unit is assessed by 100% coursework, as follows:
3 x worksheets (20% each)
1 x worksheet (40%)
Worksheets will assess all ILOs.