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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Mathematics in Action (MATH11168)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Year 5 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryMathematics 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.
Course description The course will include the use of Matlab.

This is a 'topics' course which we plan to run on topics changing from session to session. A guide to the syllabus associated with the particular academic session's theme will be available at the start of the course. The techniques will be presented and discussed in lectures and in workshops / labs and, in assessed work, students will be asked to use, analyse and adapt them.

There should be two versions of this course so that students can take them in both year 4 and year 5 (provided that the topics differ, as planned).

This course will introduce the key steps that lead from the formulation of mathematical models to the development and implementation of numerical 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 will be achieved in the context of a specific theme of contemporary interest which may vary from year to year. Examples of themes include: Mathematics of Climate, Epidemics, Data Science, Mutations and Cancer, Complexity, etc.

The course will be assessed continuously through regular assignments and one project. The numerical computations required will be carried out using Matlab.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Honours Differential Equations (MATH10066) AND Honours Complex Variables (MATH10067) AND Computing and Numerics (MATH08065) AND ( Probability (MATH08066) OR Probability with Applications (MATH08067))
Prohibited Combinations Other requirements None
Information for Visiting Students
High Demand Course? Yes
Course Delivery Information
Academic year 2015/16, Available to all students (SV1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( 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 70 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Coursework 100%
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Ability to formulate and adapt mathematical models of systems similar to those discussed in the course.
  2. Ability to use methods of solution, analytical and numerical, for such models, adapting them where necessary.
  3. Ability to discuss mathematically the theoretical basis of the main mathematical tools introduced within the theme.
  4. Ability to examine critically the assumptions underlying the relevant mathematical models and methods.
  5. Ability to write structured reports on models, methods and results.
Reading List
Additional Information
Graduate Attributes and Skills Not entered
Course organiserDr Lyubov Chumakova
Course secretaryMr Thomas Robinson
Tel: (0131 6)50 4885
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