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Course & Unit Catalogues


AR50508: Numerical and analytical methods in Civil Engineering

[Page last updated: 16 August 2024]

Academic Year: 2024/25
Owning Department/School: Department of Architecture & Civil Engineering
Credits: 10 [equivalent to 20 CATS credits]
Notional Study Hours: 200
Level: Masters UG & PG (FHEQ level 7)
Period:
Academic Year
Assessment Summary: CWRI 100%
Assessment Detail:
  • Analysis Report (CWRI 100%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: By the end of the unit, you will be able to:
* Understand the difference between analytical and probabilistic approaches to engineering design
* Apply the Finite Element method to engineering problems.
* Use basic statistical methods for exploratory data analysis, model identification, parameter estimation and decision-making.
* Communicate risk and uncertainty to both lay and expert audiences.


Synopsis: Understand and apply different numerical and analytical methods used for Civil Engineering, including the Finite Element Method and probabilistic methods such as Monte-Carlo simulations to statistical data. See how climate change can influence engineering designs. Learn how to communicate the outcomes to specialist and non-specialist audiences.

Content: Analytical and probabilistic methods, the Finite Element Method, random variables and probability distributions, parameter estimation, uncertainty analysis: First order analytical method and Monte Carlo methods, forecasting including uncertainty, Decision-making under uncertainty, Communication of risk in the context of climate change.

Course availability:

AR50508 is a Must Pass Unit on the following courses:

Department of Architecture & Civil Engineering

Notes:

  • This unit catalogue is applicable for the 2024/25 academic year only. Students continuing their studies into 2025/26 and beyond should not assume that this unit will be available in future years in the format displayed here for 2024/25.
  • Courses and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.