Unit information: Numerical Analysis Using MATLAB in 2022/23

Unit name	Numerical Analysis Using MATLAB
Unit code	CENGM0029
Credit points	10
Level of study	M/7
Teaching block(s)	Teaching Block 1 (weeks 1 - 12)
Unit director	Dr. Woods
Open unit status	Not open
Units you must take before you take this one (pre-requisite units)	None
Units you must take alongside this one (co-requisite units)	None
Units you may not take alongside this one
School/department	School of Civil, Aerospace and Design Engineering
Faculty	Faculty of Engineering

Unit Information

In this unit students will learn introductory numerical analysis using the MATLAB computing environment.

The unit will include an introduction to

• the importance of limited numerical precision in numerical computing,
• standard numerical methods such as root-finding, optimization, solution of linear systems, interpolation of data, numerical differentiation and integration, and the numerical solution of differential equations.
• the fundamentals of MATLAB, including core functions, toolboxes, data entry and loading data files, matrix algebra, plotting in two and three dimensions, and simple programming constructs.

The main aims of the unit are that students

• learn the fundamental concepts of numerical analysis, and
• become proficient in the basic data entry, manipulation, and analysis skills that are necessary for water and environmental engineering, and to build water resource models
• develop sufficient skills to be able to analyse the environmental data provided in subsequent units, and to be able to use MATLAB to support their research work later in the course.

Your learning on this unit

At the end of this module, the successful student will be able to:

• explain and apply the fundamental concepts behind numerical analysis;
• explain and apply standard methods of numerical analysis using MATLAB;
• import data and export results in suitable formats, interpret and compare these outputs;
• construct and execute simple programmes, for example, to create graphs and other visual representations of data.

How you will learn

Teaching will be delivered through a combination of synchronous and asynchronous sessions, which may include lectures, practical activities supported by drop-in sessions, problem sheets and self-directed exercises.

How you will be assessed

This unit will be assessed by coursework (a report/workbook will be submitted to show competency in computational numerical analysis). Formative assessment/feedback will also be provided throughout the unit from tutorial exercises, to help students prepare for the summative assessments.

Resources

If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. CENGM0029).

How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours of study to complete. Your total learning time is made up of contact time, directed learning tasks, independent learning and assessment activity.

See the Faculty workload statement relating to this unit for more information.

Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit. The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates within the Regulations and Code of Practice for Taught Programmes.