NG2S112 - Analytical and Numerical Methods 01 Jul 2022 - 31 Aug 2028 | Version 6

Associated Module Information

Module Code: NG2S112
Module Title: Analytical and Numerical Methods
Faculty: Faculty of Computing, Engineering and Science
Faculty Group: Built Environment and Civil Engineering
Faculty Sub Group: Civil Engineering
Module Leader: Luan Al-Haddad
Module Team: David Baxter, Sarah Moses
First Intended Intake: SEP 2015 Final Year of Intake:
Date Closed:
Credit Value: 20 Credit Level: 5
Language: English
Percentage of Module Taught in Welsh: 0
Equivalent Module:
HECOS codes: 100148 - civil engineering
HECOS Code Weighting: 100

Document Version Information

Version 6
Valid From 01 Jul 2022
Valid To 31 Aug 2028

Module Aims

To enable the student to develop and extend their working knowledge of the application of analytical and numerical techniques to solve a range of advanced civil engineering problems.

To understand and apply statistical methodologies to interpret data.

Content Summary

Solution of equations.

Calculus of more than one independent variable.

Partial differentiation and applications.

Solving differential equations and applications.

Analysis and interpretation of statistical data.

Learning and Teaching Methods

Activity Type Hours
Lecture 48
Independent Study 100
Directed Study 52
Total Hours Selected 200

Learning Outcomes

# Learning Outcome
LO1 To understand and be able to apply a range of mathematical techniques to the solution of practical engineering problems.
LO2 To understand and apply statistical analysis techniques to interpret and present data.

Module Requisites

N/A

Assessment Criteria

Assessment Category Assessment Type Description Duration Word Count Weight (%) Best of? Pass Mark
Synchronous Onsite Assessment (Exam) Onsite Closed Book Examination 1 Exam 150 N/A 60 No 40
Synchronous Onsite Assessment Classroom Test - Time Constrained (Onsite) 1 Class Test 60 N/A 40 No 40

Assessment Matrix

Assessment Type Learning Outcomes
LO1 LO2
Onsite Closed Book Examination 1
Classroom Test - Time Constrained (Onsite) 1

Reading List

Stroud, K. A.(Latest Edition),Engineering Mathematics, Palgrave.

Hayter, A. (latest Edition), Probability and Statistics for Engineers and Scientists, Cengage.