Module Descriptors
ENGINEERING MATHEMATICS APPLICATIONS 1
MATH50336
Key Facts
Faculty of Computing, Engineering and Sciences
Level 5
15 credits
Contact
Leader: Martin Paisley
Email: M.F.Paisley@staffs.ac.uk
Hours of Study
Scheduled Learning and Teaching Activities: 36
Independent Study Hours: 114
Total Learning Hours: 150
Assessment
- COURSEWORK weighted at 50%
- EXAMINATION - UNSEEN IN EXAMINATION CONDITIONS weighted at 50%
Module Details
Module Texts
Advanced Modern Engineering Mathematics, Glyn James et al, (2004), Pearson Prentice Hall, ISBN: 0130454257
Engineering Mathematics, K A Stroud and J Booth Dexter, Palgrave Mcmillan (2007), ISBN: 1403942463
Engineering Mathematics, K A Stroud and J Booth Dexter, Palgrave Mcmillan (2007), ISBN: 1403942463
Module Special Admissions Requirements
Prior study of CE61012-4 Mathematical Foundations for Engineers, or CE61015-4 Mathematical Foundations, or CE61010-4 Balancing Mathematics for Engineering or equivalent.
Module Resources
Access to MAPLE on standard University computers.
Module Learning Strategies
The material will be introduced over 36 hours consisting of 24 hours lectures and 12 hours tutorials. This will usually bdelivered as 2 lectures and 1 tutorial per week.
(1:n)2 (1:20)1
THIS MODULE WILL NORMALLY RUN IN SEMESTER 1
(1:n)2 (1:20)1
THIS MODULE WILL NORMALLY RUN IN SEMESTER 1
Module Indicative Content
Advanced applications of a mathematical software package such as MAPLE (introduction and the use in all of the other topics).
Differential Equations (general definition; simple examples; numerical solutions).
Laplace transforms (including partial fractions and use of tables; second-order differential equations and simple first-order equations using the Dirac and Heaviside functions).
Z-transforms (including the solution of simple difference equations).
Differential Equations (general definition; simple examples; numerical solutions).
Laplace transforms (including partial fractions and use of tables; second-order differential equations and simple first-order equations using the Dirac and Heaviside functions).
Z-transforms (including the solution of simple difference equations).
Module Additional Assessment Details
1. In-course assessment weighted at 50% assessing learning outcomes 1and 3.
2. A 2 hour exam weighted at 50% assessing learning outcome 2.
1. The in-course assessment will be a portfolio comprising of one class test (length 1 hour) to assess the basic techniques and an assignment using a mathematical package to assess the implementation to more sophisticated problems and techniques. This will cover learning outcomes 1 and 3.
2. A final exam (2 hours) to assess the application of the techniques to problems and the interpretation of the solutions. This will cover learning outcome 2.
2. A 2 hour exam weighted at 50% assessing learning outcome 2.
1. The in-course assessment will be a portfolio comprising of one class test (length 1 hour) to assess the basic techniques and an assignment using a mathematical package to assess the implementation to more sophisticated problems and techniques. This will cover learning outcomes 1 and 3.
2. A final exam (2 hours) to assess the application of the techniques to problems and the interpretation of the solutions. This will cover learning outcome 2.