MA2MODNU-Mathematical Modelling
Module Provider: Mathematics and Statistics
Number of credits: 10 [5 ECTS credits]
Level:5
Semesters in which taught: Semester 2 module
Pre-requisites: MA0MANU Mathematical Analysis and MA1LANU Linear Algebra and MA1DE1NU Differential Equations I
Non-modular pre-requisites: Some basic knowledge for programming with Matlab, R, Excel or similar.
Co-requisites:
Modules excluded:
Current from: 2022/3
Module Convenor: Dr Zuowei Wang
Email: zuowei.wang@reading.ac.uk
Type of module:
Summary module description:
This module will cover topics related to mathematical modelling, e.g. in the areas of science, engineering, and finance.
The Module lead at NUIST is Dr Yan Feng (frank_feng8848@163.com).
Aims:
To develop student’s problem-solving skills by applying mathematical techniques to solve real world problems across a broad range of scientific, engineering and financial topics, such as Newton’s laws of motion, conservation of mass, cost optimisation, loan interest etc.
Assessable learning outcomes:
- Demonstrate skills to build mathematical models for given problems;
- Derive and solve equations implied by appropriate applications using mathematical techniques:
- Calculus;
- Ordinary differential equations;
- Dimensional analysis;
- Linear Algebra.
Additional outcomes:
Examine and visualise the model solutions by using mathematical and statistical programming skills, such as Matlab, Lingo and R.
Outline content:
- Model building;
- Applications of first order ordinary differential equations in topics such as conservation of mass, loan interested etc.;
- Applications of systems of ordinary differential equations in topics such as population or predator-prey and heating problems;
- Dimensional analysis;
- Applications of second order ordinary differential equations in topics such as dynamics (Newton’s laws of motion.
Brief description of teaching and learning methods:
Lectures plus tutorials, as well as programming practicals.
Semester 1 | Semester 2 | |
Lectures | 52 | |
Practicals classes and workshops | 8 | |
Guided independent study: | ||
Wider reading (independent) | 20 | |
Wider reading (directed) | 8 | |
Exam revision/preparation | 12 | |
Total hours by term | 0 | 100 |
Total hours for module | 100 |
Method | Percentage |
Written exam | 80 |
Class test administered by School | 20 |
Summative assessment- Examinations:
2 hours.
Summative assessment- Coursework and in-class tests:
One examination and a number of class tests
Formative assessment methods:
Problem sheets.
Penalties for late submission:
The Support Centres will apply the following penalties for work submitted late:
- where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of five working days;
- where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.
You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.
Assessment requirements for a pass:
A mark of 40% overall.
Reassessment arrangements:
One examination paper of 2 hours duration in August/September - the resit module mark will be the higher of the exam mark (100% exam) and the exam mark plus previous coursework marks (80% exam, 20% coursework).
Additional Costs (specified where applicable):
1) Required text books:
2) Specialist equipment or materials:
3) Specialist clothing, footwear or headgear:
4) Printing and binding:
5) Computers and devices with a particular specification:
6) Travel, accommodation and subsistence:
Last updated: 22 September 2022
THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.