
- UCAS course code
- H801
- UCAS institution code
- M20
Course unit details:
Engineering Mathematics 2
Unit code | CHEN10072 |
---|---|
Credit rating | 10 |
Unit level | Level 1 |
Teaching period(s) | Semester 2 |
Offered by | Department of Mathematics |
Available as a free choice unit? | No |
Overview
This course unit detail provides the framework for delivery in 20/21 and may be subject to change due to any additional Covid-19 impact. Please see Blackboard / course unit related emails for any further updates.
Matrices and algebraic properties. Definition of determinant and properties. Identity, diagonal, transpose, upper/lower triangular and inverse matrices.
Solving systems of linear equations through Gaussian Elimination. Solving systems of nonlinear equations using the Newton-Raphson method.
First order ordinary differential equations (ODEs). Analytical solution by separation of variables and by the integrating factor.
Laplace transforms. Transforms and inverse transforms of functions. Transforms of derivatives. Application to solution of ordinary differential equations.
Numerical solution of ODEs and systems of ODEs using Euler and Runge-Kutta Methods.
Aims
The unit aims to:
Provide the background mathematics and IT skills required for subsequent chemical engineering courses in mathematically oriented topics. Engineering applications are to be introduced where relevant.
Learning outcomes
ILO 1.Recall definitions and facts relevant to syllabus topics.
ILO 2.Preform routine calculations using the syllabus topics.
ILO 3.Use the methods mentioned in the syllabus topics in order to carry out quantitative problem-solving.
ILO 4.Implement numerical methods computationally.
ILO 5. Develop critical thinking around the application of techniques in a Chemical Engineering context and in relation to syllabus
Teaching and learning methods
This course will consist of lectures and practical, problem solving sessions. Resources will be available electronically on Blackboard.
Knowledge and understanding
Recall definitions and facts relevant to syllabus topics.
Carry our routine calculations using the syllabus topics.
Intellectual skills
Use the methods mentioned in the syllabus topics in order to carry out quantitative problem-solving.
Practical skills
Implement numerical methods computationally e.g. in MATLAB.
Transferable skills and personal qualities
Appreciate the use of techniques in a Chemical Engineering context and in relation to syllabus.
Develop problem-solving skills.
Develop independent critical thinking.
Assessment methods
Method | Weight |
---|---|
Other | 30% |
Written exam | 70% |
Feedback methods
Generic exam feedback form after exam board.
Recommended reading
Study hours
Scheduled activity hours | |
---|---|
Lectures | 24 |
Independent study hours | |
---|---|
Independent study | 76 |
Teaching staff
Staff member | Role |
---|---|
Steven Broom | Unit coordinator |
Additional notes
This course unit detail provides the framework for delivery in 20/21 and may be subject to change due to any additional Covid-19 impact. Please see Blackboard / course unit related emails for any further updates.