2022/3, Trimester 1, FACE-TO-FACE, Edinburgh Napier University
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Occurrence: | 001 |
Primary mode of delivery: | FACE-TO-FACE |
Location of delivery: | MERCHISTON |
Partner: | Edinburgh Napier University |
Member of staff responsible for delivering module: | Stathis Tingas |
Module Organiser: | |
Learning, Teaching and Assessment (LTA) Approach: |
Learning & Teaching methods including their alignment to LOsThe module covers graduate-level computational and analytical methods in mathematical modelling for engineering students, which will be taught through a combination of face-to-face lectures, tutorials and computer lab sessions. The lecture material will include relevant theory of advanced computational and analytical methods, which will be applied to the modelling of modern engineering problems (LO1 and L02). Understanding will be reinforced and supported with tutorials and computer lab sessions, allowing theoretical and computational solutions of engineering problems to be developed and discussed (LO3, LO4). Embedding of employability/PDP/Scholarship SkillsThe module content reflects current mathematical approaches and techniques used by both industry and academia. As a theoretical and computational course, it will enable students to enhance their intellectual and practical skills, along with transferable skills such as analytical thinking, report writing, communication, problem solving and programming.Research / teaching linkagesThe theory will be developed in the context of a wide range of contemporary, relevant engineering examples and applications, and supported by modern, transferrable scientific computing. Applications and examples taken from current research will form a significant part of the module and the module team will use their own research to illustrate the material delivered in the lectures and in the design of appropriate tutorials and assessments. Current staff research expertise relevant to the module is varied and ranges from multiscale modelling, nonlinear and distributed parameter control theory, through to modelling for healthcare technologies.
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Formative assessment will be part of the tutorial and laboratory sessions and will include feedback on mathematical and programming skills as well as critical thinking.
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1. Class test (LO: 1, 2)The skills and knowledge required for the application of computational and analytical methods and mathematical modelling to engineering problems are more readily assessed in a class test.2. Mini project (LO: 1, 2, 3, 4)The application of all four learning outcomes to the solution of real engineering problem, and the dissemination and analysis of the solution to the problem are best assessed through the medium of a mini project.
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Student Activity (Notional Equivalent Study Hours (NESH)) |
Mode of activity | Learning & Teaching Activity | NESH (Study Hours) |
Face To Face | Lecture | 48 |
Face To Face | Tutorial | 24 |
Independent Learning | Guided independent study | 128 |
| Total Study Hours | 200 |
| Expected Total Study Hours for Module | 200 |
Assessment |
Type of Assessment | Weighting % | LOs covered | Week due | Length in Hours/Words |
Class Test | 30 | 1, 2 | 5 | HOURS= 02.00, WORDS= 0 |
Project - Written | 70 | 1,2,3,4 | 13 | , WORDS= 5000 |
Component 1 subtotal: | 100 | |
Component 2 subtotal: | 0 | | | |
Module subtotal: | 100 | | | |
2022/3, Trimester 2, FACE-TO-FACE, Edinburgh Napier University
VIEW FULL DETAILS
Occurrence: | 001 |
Primary mode of delivery: | FACE-TO-FACE |
Location of delivery: | MERCHISTON |
Partner: | Edinburgh Napier University |
Member of staff responsible for delivering module: | Stathis Tingas |
Module Organiser: | |
Learning, Teaching and Assessment (LTA) Approach: |
Learning & Teaching methods including their alignment to LOsThe module covers graduate-level computational and analytical methods in mathematical modelling for engineering students, which will be taught through a combination of face-to-face lectures, tutorials and computer lab sessions. The lecture material will include relevant theory of advanced computational and analytical methods, which will be applied to the modelling of modern engineering problems (LO1 and L02). Understanding will be reinforced and supported with tutorials and computer lab sessions, allowing theoretical and computational solutions of engineering problems to be developed and discussed (LO3, LO4). Embedding of employability/PDP/Scholarship SkillsThe module content reflects current mathematical approaches and techniques used by both industry and academia. As a theoretical and computational course, it will enable students to enhance their intellectual and practical skills, along with transferable skills such as analytical thinking, report writing, communication, problem solving and programming.Research / teaching linkagesThe theory will be developed in the context of a wide range of contemporary, relevant engineering examples and applications, and supported by modern, transferrable scientific computing. Applications and examples taken from current research will form a significant part of the module and the module team will use their own research to illustrate the material delivered in the lectures and in the design of appropriate tutorials and assessments. Current staff research expertise relevant to the module is varied and ranges from multiscale modelling, nonlinear and distributed parameter control theory, through to modelling for healthcare technologies.
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The first formative assessment will be a 10-minute presentation on one computational approach relevant to the module, used in a peer reviewed journal paper.The second formative assessment will be worked in groups of peers. Each group will work towards developing the algorithm and implementing the programming code for one computational approach relevant to the module.
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Mini project (LO: 1, 2, 3, 4)The application of all four learning outcomes to the solution of real engineering problem, and the dissemination and analysis of the solution to the problem are best assessed through the medium of a mini project.
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Student Activity (Notional Equivalent Study Hours (NESH)) |
Mode of activity | Learning & Teaching Activity | NESH (Study Hours) |
Face To Face | Lecture | 36 |
Face To Face | Tutorial | 36 |
Independent Learning | Guided independent study | 128 |
| Total Study Hours | 200 |
| Expected Total Study Hours for Module | 200 |
Assessment |
Type of Assessment | Weighting % | LOs covered | Week due | Length in Hours/Words |
Project - Written | 100 | 1,2,3,4 | 13 | , WORDS= 5000 |
Component 1 subtotal: | 100 | |
Component 2 subtotal: | 0 | | | |
Module subtotal: | 100 | | | |