ENGINEERING MATHEMATICS III - 2022/3
Module code: EEE2035
In light of the Covid-19 pandemic, and in a departure from previous academic years and previously published information, the University has had to change the delivery (and in some cases the content) of its programmes, together with certain University services and facilities for the academic year 2020/21.
These changes include the implementation of a hybrid teaching approach during 2020/21. Detailed information on all changes is available at: https://www.surrey.ac.uk/coronavirus/course-changes. This webpage sets out information relating to general University changes, and will also direct you to consider additional specific information relating to your chosen programme.
Prior to registering online, you must read this general information and all relevant additional programme specific information. By completing online registration, you acknowledge that you have read such content, and accept all such changes.
Expected prior learning: Mathematical experience equivalent to Year 1 of EE Programmes.
Module purpose: This module builds on the fundamental tools and concepts introduced in the Mathematics modules in Year 1 and applies them to further engineering examples. A broad range of mathematics topics is covered, and their applications are always borne in mind.
Electrical and Electronic Engineering
DEANE Jonathan (Maths)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 5
JACs code: G100
Module cap (Maximum number of students): N/A
Prerequisites / Co-requisites
Indicative content includes the following:
[1 - 4] Fourier Series and Fourier Transforms. Comparison of time and frequency domain. Fourier transforms and inverse transforms. Convolution. Application to signal processing. Quick method for calculating Fourier transforms.
[5 - 6] Probability. Meaning of probability. Dependent, independent and mutually exclusive events.
[7 - 10] Statistics. Definition of terms. The probability density function. Normalisation. Normal, Binomial and Poisson probability density functions. Applications to errors, noise, and least squares fitting of straight lines and other curves to data.
[11 - 12] Method of least squares. Applications to treatment of experimental results.
[13 - 16] Matrices. Determinants. Matrix algebra. Transpose and inverse. Solution of linear simultaneous equations. Eigenvalues and eigenvectors. Two-port parameters.
[17 - 18] The wave equation. Derivation and d'Alembert solution.
[19 - 22] Laplace transforms. Complex frequency. Partial fractions and the solution of differential equations by Laplace transform. Mechanical examples as well as electronic ones.
[23 - 27] Z-transforms. Definition, properties, inversion. Applications and worked examples.
[28 - 30] Cross- and Autocorrelation. Definition, examples, applications.
|Assessment type||Unit of assessment||Weighting|
|Examination||2 HOUR CLOSED BOOK EXAMINATION||80|
Not applicable: students failing a unit of assessment resit the assessment in its original format.
The assessment strategy for this module is designed to provide students with the opportunity to demonstrate the learning outcomes. The written examination will assess the knowledge and assimilation of mathematical terminology, notation, concepts and techniques, as well as the ability to work out solutions to previously unseen problems under time-constrained conditions. The assignments give the students a chance to practise the required techniques shortly after they have been taught and in problems of a similar level to those that they will meet in the exam.
Thus, the summative assessment for this module consists of the following.
· 2-hour, closed-book written examination.
· Two take-home problem sheets, submitted as coursework.
Formative assessment and feedback
For the module, students will receive formative assessment/feedback in the following ways.
· During lectures, by question and answer sessions
· During office hour meetings with students
· By means of unassessed tutorial problems in the notes (with answers/model solutions)
· Via assessed coursework
Any deadlines given here are indicative. For confirmation of exact dates and times, please check the Departmental assessment calendar issued to you.
- Students will be able to demonstrate the application of relevant mathematics underpinning telecommunications, linear systems, digital signal processing, networks and laboratories, as well as substantial parts of many final year modules.
|1||Apply mathematics analytically to a range of engineering problems.||KPT|
|2||Select the appropriate mathematical techniques for a range of problems, while bearing in mind the limitations of these techniques.||KCT|
|3||Demonstrate ability to present solutions in a clear and structured way.||KCPT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Overall student workload
Independent Study Hours: 112
Lecture Hours: 33
Methods of Teaching / Learning
The learning and teaching strategy is designed to achieve the following aims:
- Student familiarity with the basic concepts, notations and techniques used in mathematics as it is applied to engineering, as taught in Mathematics I and II.
- Facility with the fundamental tools of applied mathematics that will support many other courses in the current and next Level of Electronic Engineering degree programmes.
Learning and teaching methods include the following:
- Lectures (3 hours per week for 11 weeks).
- Class discussion in lectures.
- One-to-one sessions with lecturer during office hours.
- One hour tutorial every two weeks in Drop-in Centre.
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Upon accessing the reading list, please search for the module using the module code: EEE2035
Programmes this module appears in
|Electronic Engineering with Computer Systems BEng (Hons)||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Electronic Engineering BEng (Hons)||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Electrical and Electronic Engineering BEng (Hons)||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Electronic Engineering with Nanotechnology BEng (Hons)||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Electronic Engineering with Nanotechnology MEng||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Electronic Engineering with Space Systems BEng (Hons)||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Computer and Internet Engineering MEng||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Electronic Engineering with Space Systems MEng||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Electronic Engineering with Computer Systems MEng||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Electronic Engineering MEng||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Computer and Internet Engineering BEng (Hons)||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Electrical and Electronic Engineering MEng||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.