Computational Fluid Dynamics 5 ENG5307

  • Academic Session: 2019-20
  • School: School of Engineering
  • Credits: 10
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Semester 2
  • Available to Visiting Students: Yes
  • Available to Erasmus Students: Yes

Short Description

This course builds on ENG4037 Computational Fluid Dynamics 4 and prepares the students for development and advanced application of Computational Fluid Dynamic methods for real-world engineering problems.


2 lectures per week

Requirements of Entry

Mandatory Entry Requirements


Recommended Entry Requirements


Excluded Courses





100% Report

Are reassessment opportunities available for all summative assessments? Not applicable

Reassessments are normally available for all courses, except those which contribute to the Honours classification. For non-Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions for this course are described below. 

Course Aims

The aims of this course are to:

■ introduce the student to the various aspects of a Computational Fluid Dynamics (CFD) simulation;

■ impart both a foundational as well as a working knowledge of CFD.

Intended Learning Outcomes of Course

By the end of this course students will be able to:

■ classify Computational Fluid Dynamics (CFD) methods according to their accuracy, efficiency and range of applicability;

■ appreciate the fundamentals of solution methods for Partial Differential Equations;

■ perform stability analysis of CFD schemes, and assess their convergence and consistency of solutions;

■ select methods suitable for each class of problems (compressible, incompressible, unsteady, moving boundaries etc);

■ develop discretization schemes for the Navier-Stokes equations in 2 dimensions;

■ set up and compute advanced flow cases using ready-made methods;

■ evaluate the applicability/feasibility of a particular model, its limitations, choose the right boundary conditions, ascertain grid/time independence, verification/validation.

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components of the course's summative assessment.


Students must attend the timetabled laboratory classes.