Programme And Module Handbook
 
Course Details in 2024/25 Session


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Module Title LC Mathematics B
SchoolMetallurgy and Materials
Department Metallurgy & Materials
Module Code 04 34049
Module Lead Dr Mark Ward
Level Certificate Level
Credits 10
Semester Semester 2
Pre-requisites
Co-requisites
Restrictions None
Contact Hours Lecture-11 hours
Tutorial-14 hours
Practical Classes and workshops-6 hours
Guided independent study-69 hours
Total: 100 hours
Exclusions
Description The aim of this module is to develop students’ ability and confidence to use mathematical and numerical methods to solve engineering problems and judge the validity of their solutions.

This links to the requirements for students in the QAA Materials benchmark statement 2017 of “fluency in mathematics, and familiarity with a range of mathematical and computational methods, for expressing the laws of science, for formulating and solving problems” and the AHEP3 learning outcomes.
Learning Outcomes By the end of this modules, students will be able to:
  • Will be able to analyse Engineering problems and translate them into systems of equations (with appropriate simplification where needed);
  • Will be able to apply methods for working with differential equations and vectors/matrices to solve systems of equations developed in 1;
  • Will be able to apply their comprehension of a programming language to work with engineering data and problems;
  • Will be able to verify the dimensional consistency of solutions and explain their trustworthiness.
These link to the AHEP3 learning outcomes:
  • Demonstrate a knowledge and understanding of mathematical and statistical methods necessary to underpin their education in their engineering discipline and to enable them to apply mathematical and statistical methods, tools and notations proficiently in the analysis and solution of engineering problems (SM2);
  • Understand engineering principles and the ability to apply them to analyse key engineering processes (EA1);
  • Identify, classify and describe the performance of systems and components through the use of analytical methods and modelling techniques (EA2);
  • Apply quantitative and computational methods in order to solve engineering problems and to implement appropriate action (EA3).
Assessment 34049-01 : Exam : Exam (Centrally Timetabled) - Open Book (100%)
Assessment Methods & Exceptions Two hour exam 70% Coursework 30%
Other
Reading List