Undergraduate Course: Mathematics in Action A (MATH11180)
|School||School of Mathematics
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 11 (Year 5 Undergraduate)
||Availability||Available to all students
|Summary||NB. This course is delivered *biennially* with the next instance being in 2017-18. It is anticipated that it would then be delivered every other session thereafter.
Mathematics is central to much of everyday life: it underpins digital communications, internet searches, medical imaging, computer animations, weather and climate predictions and many more technological advances. At the heart of this impact lies the capability of mathematics to model complex systems, to process information and to provide solutions. This course will introduce the key steps that lead from the formulation of mathematical models to the development and implementation of numerical or analytical solutions. The course will give the learner a hands-on experience of the practical use of mathematics and empower them to apply their mathematical knowledge to real-world problems.
This outcome will be achieved in the context of a specific theme of contemporary interest which varies from year to year. Examples of possible themes include: Mathematics of Climate, Epidemics, Data Science, Mutations and Cancer, and Complexity.
The course will be assessed continuously through regular assignments and one project. The numerical computations required will be carried out using Matlab.
This course has a counterpart Mathematics in Action B (MATH11181) which runs in alternate years. These courses are designed so that they can be taken in any order (they are not pre-requisites for one another), and both can be taken, as the syllabus for each in consecutive year will be different.
The theme will vary each session and might include :
- Data Visualization
- Data science
- Mutations and cancer
- Complexity and extended systems
Information for Visiting Students
|High Demand Course?
Course Delivery Information
|Academic year 2017/18, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Lecture Hours 16,
Dissertation/Project Supervision Hours 2,
Supervised Practical/Workshop/Studio Hours 10,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||Coursework : 100%
|No Exam Information
On completion of this course, the student will be able to:
- ability to formulate mathematical models of simple systems.
- ability to develop methods of solution, analytical and numerical, for such models.
- understanding of the main mathematical tool introduced within the theme, and the ability to apply it to problems related to the theme.
- ability to examine critically the assumptions underlying the relevant mathematical models and methods.
- ability to write structured reports on models, methods and results.
|This will vary according to the session's theme.|
|Graduate Attributes and Skills
|Course organiser||Dr Tibor Antal
Tel: (0131 6)51 7672
|Course secretary||Mr Martin Delaney
Tel: (0131 6)50 6427