Durham University
Programme and Module Handbook

Undergraduate Programme and Module Handbook 2014-2015 (archived)

Module ENGI2011: Mathematical Modelling and Computing 2

Department: Engineering

ENGI2011: Mathematical Modelling and Computing 2

Type Tied Level 2 Credits 20 Availability Available in 2014/15 Module Cap None. Location Durham
Tied to H100
Tied to H103

Prerequisites

  • As specified in programme regulations.

Corequisites

  • As specified in programme regulations.

Excluded Combination of Modules

  • As specified in programme regulations.

Aims

  • This module is designed solely for students studying School of Engineering and Computing Science MEng and BEng degree programmes.
  • It provides a working knowledge of mathematical methods for modelling engineering problems and computing.

Content

  • Lecture courses: Analytical and Numerical Methods for ODEs; Dynamic Systems Modelling.
  • Computing project: how to write structured programs for engineering systems.

Learning Outcomes

Subject-specific Knowledge:
  • On completion of this module students will gain: Knowledge and understanding of the theory and application in the modelling of engineering systems
Subject-specific Skills:
  • Solution of multi-variable integration problems;
  • Application of numerical differentiation methods;
  • Application of numerical integration methods;
  • Numerical solution of ordinary differential equations;
  • Use of Laplace transforms to solve ordinary differential equations
  • Planning, implementation and reporting of a computing exercise.
  • Testing and verification of software.
  • Preparation of technical report.
  • Technical presentation.
Key Skills:
  • Numerical skills.
  • Teamworking.
  • Time and resource management.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • The courses in Analytical and Numerical Methods for ODEs and System Stability and Control are taught through lectures and reinforced by seminars and problem sheets, leading to the required problem solving capability. Assessment is through written examination which enables each student to demonstrate an ability to analyse and solve new problems.
  • Computing is taught through an introductory lecture together with surgeries. The computing exercise gives experience of writing programs to solve an engineering problem. Its assessment is through the submission of a written report.
  • Students are able to make use of staff 'Tutorial Hours' to discuss any aspect of the module with teaching staff on a one-to-one basis. These are sign up sessions available for up to one hour per week.

Teaching Methods and Learning Hours

Activity Number Frequency Duration Total/Hours
System Stability and Control lectures 21 1 per week 1 Hour 21
Analytical and Numerical Methods for ODEs lectures 21 1 per week 1 Hour 21
Computing lecture 1 1 Hour 1
Tutorial Hours as required weekly signup sessions up to 1 hour 8
Surgery 4 2 hours 8
System Stability and Control laboratories 2 1st and 2nd term 3 Hours 6
Problem classes 3 1 Hour 3
Preparation and Reading 132
Total 200

Summative Assessment

Component: Examination Component Weighting: 70%
Element Length / duration Element Weighting Resit Opportunity
Mathematical Modelling 2 2 hours 100% yes
Component: Assessment Component Weighting: 30%
Element Length / duration Element Weighting Resit Opportunity
Computing project assessment 100% yes

Formative Assessment:

None.


Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University