| Semester 1 Credit Value: | 5 |
| Semester 2 Credit Value: | 5 |
| ECTS Credits: | 5.0 |
N/A
N/A
This module comprises two parts: “Numerical Methods” and “Programming in MATLAB” and is delivered over two semesters. In semester 1 the module aims to provide students with an introduction to theory and principles associated with some common numerical methods for engineering problem solving. In semester 2 the module aims to provide an introductory course in computer programming in MATLAB and Simulink.
Key themes for semester 1: Analytical solutions versus numerical solutions; Root finding algorithms; Numerical integration; Numerical solutions of ODEs; Solutions of set of algebraic equations; Least-squares approximation; Use of the SIMULINK to solve these types of problems.
Key themes for semester 2: Introduction to the MATLAB software environment; matrix handling; basic MATLAB commands; MATLAB scripts and functions; flow controls; plotting; program debugging; flowcharts and problem solving.
To learn how to make use of the computing systems in the School of Engineering.
To know the basis of root finding algorithms, numerical integration techniques, numerical solutions of ODEs and algorithms for solving sets of algebraic equations, and how these may be used to solve Chemical Engineering problems.
To learn the basic principles of computer programming in MATLAB and SIMULINK. To understand the difference and relationships between analytical and numerical methods in problem solving.
Appreciation of the why numerical solutions are favored over analytical solutions for solving complex engineering problems.
Demonstrate the ability to identify the computational characteristics of a model and in choosing an appropriate solution strategy based on the information available.
To know how to model dynamic systems using SIMULINK.
Capabilities in problem analysis and flowcharts.
Capability in MATLAB programming for engineering problem solution.
To gain experience of using commercial software to simulate a process.
To develop a working knowledge of SIMULINK.
To be able to apply the numerical techniques covered in the syllabus.
Solving of unseen Chemical Engineering Problems.
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 10 | 1:00 | 10:00 | Semester 2 lectures |
| Guided Independent Study | Assessment preparation and completion | 1 | 10:00 | 10:00 | Semester 1 Examination and preperation |
| Guided Independent Study | Assessment preparation and completion | 1 | 10:00 | 10:00 | Semester 2 Completion of the MATLAB & Simulink Assignment |
| Scheduled Learning And Teaching Activities | Lecture | 10 | 1:00 | 10:00 | Semester 1 (Present in person) |
| Structured Guided Learning | Academic skills activities | 7 | 3:00 | 21:00 | Semester 1 (asynchronous) Watch video example calculations. Completion of tutorial sheets. |
| Scheduled Learning And Teaching Activities | Workshops | 1 | 2:00 | 2:00 | Semester 1 (Pip) Simulink Workshop (50% of Cohort per session) |
| Scheduled Learning And Teaching Activities | Workshops | 7 | 1:00 | 7:00 | Semester 1 (Pip) Tutorial sessions to help with student problems from the tutorial sheets |
| Scheduled Learning And Teaching Activities | Workshops | 8 | 3:00 | 24:00 | Semester 2 Computing Labs (50% of Cohort per session) |
| Guided Independent Study | Independent study | 1 | 6:00 | 6:00 | General reading around MATLAB functions and associated material |
| Total | 100:00 |
Lectures and lecture materials introduce basic knowledge and techniques. Tutorial work sheets reinforce acquired knowledge and sharpen problem solving skills. Assignments develop software skills and ability to use knowledge in problem solving tasks. Practical classes support the learning introduced in lectures through hands on experience with software. Examination with test the ability of the students to tackle unseen problems and select appropriate techniques to solve them. The students gain practical experience of applying the concepts introduced throughout the course to a number of problems varying in terms of complexity.
The format of resits will be determined by the Board of Examiners
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 90 | 1 | A | 50 | Closed Book Exam |
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Computer assessment | 2 | M | 50 | Solving Euler’s method problems by hand and validating the results using software (both Simulink and MATLAB). |
Examination will test the learning outcomes around problem solving of Chemical Engineering type problems
N/A
Disclaimer: The information contained within the Module Catalogue relates to the 2023/24 academic year. In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described. Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2024/25 entry will be published here in early-April 2024. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.