The University of Sheffield
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ACS217   Mathematics & Data Modelling   (20 credits)

 
Year Running: 2017/2018
Credit level: F5
Co-requisites   ACS214   ACS2141  

Description

This module provides an introduction to the use of analytical mathematical techniques and numerical methods and algorithms for subsequent higher level module studies and for solving a wide range of engineering problems as well. Students will develop their skills in the theory and application of core mathematics tools required for systems engineering and the application of these in system simulation and data based modelling. A brief summary of topics covered includes: complex variables and Fourier transforms, analysis of matrices and systems represented by matrices, optimisation of functions of many variables, probability, numerical integration techniques and data modelling and analysis. The module is embedded throughout with engineering examples using the mathematical techniques.

 

Reading List


Please click here for reading list.
 

Teaching Methods

Delivery Type Hours
Independent 140.0
Lecture 44.0
Tutorial 16.0
 

Methods of assessment

Assessment Type Duration % of formal assessment Semester
Course Work 0.0 20 %
Exam 2.0 80 %
 

Teaching methods and assessment displayed on this page are indicative for 2017-18.