MATHEMATICS I: PURE MATHEMATICS - 2017/8
Module code: EEE1031
Electrical and Electronic Engineering
DEANE JH Dr (Maths)
Number of Credits
FHEQ Level 4
Module cap (Maximum number of students)
Overall student workload
Independent Study Hours: 117
Lecture Hours: 51
|Assessment type||Unit of assessment||Weighting|
|School-timetabled exam/test||1: AN UNSEEN 1-HR WRITTEN CLASS TEST (20%) WEEK 4. 2 : AN UNSEEN 1-HR WRITTEN CLASS TEST (20%) (WK 9)||40%|
|Examination||2 HOUR CLOSED BOOK EXAMINATION||60%|
Not applicable: students failing a unit of assessment resit the assessment in its original format.
Prerequisites / Co-requisites
Expected prior learning: Mathematical knowledge at the level of entry requirements for a degree programme in Engineering.
Module purpose: Mathematics is the best tool we have for quantitative understanding of engineering systems. This course in pure mathematics is specifically designed for Electronic Engineering students and covers the fundamental techniques for many future engineering courses taught here.
This module aims to provide students with some of the basic understanding and skills in mathematics needed to follow a degree prgramme in engineering.
|Demonstrate knowledge of the concepts, notation and terminology introduced in the module||KCT|
|Perform basic calculations accurately||CPT|
|Solve problems in the key mathematical areas||KCT|
|Present solutions in a clear, structured way, with accuracy and logical consistency||KPT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
The following topics will be taught:
Algebra: Basic algebra (factorisation, partial fractions, roots of quadratics and other simple equations, linear simultaneous equations), geometry, trigonometry. Trigonometric identities and solutions of trigonometric equations.
Properties of Functions: Exponential and logarithmic functions and their properties. Odd, even and periodic functions. Concept of a function and inverse functions, trigonometric and inverse trigonometric functions, solution of trigonometric equations.
Complex numbers: real and imaginary parts, polar and exponential form, Argand diagram, exp(jx) = cos x + j sin x, relationship between trigonometric and hyperbolic functions, De Moivre’s theorem and applications.
Vectors: Magnitude, dot and cross product. Meaning of the dot and cross product.
Differentiation: Concept of derivative and rules of differentiation for a function of one variable. Differentiation of trigonometric, exponential and logarithmic functions. Applications to gradients, tangents and normals, extreme points and curve sketching. Functions of several variables. The idea that the graph of z=f(x,y) is a surface. First and second order partial derivatives and their meanings as slopes in particular directions. The total differential and applications to errors and rates of change.
Sequences and Series: Arithmetic and geometric sequences and series. Binomial expansion. Maclaurin and Taylor series expansions. Calculation of approximations and limits using power series. Evaluation of limits, including L'Hôpital's Rule.
Integration: Concept of indefinite integration as the inverse of differentiation and standard methods for integration such as substitution, integration by parts and integration of rational functions. Definite integration, areas under curves. Mean and rms values. Integrals requiring trigonometric substitutions. Calculation of areas under curves given implicitly.
Further Integration: Evaluation of multiple integrals with both constant and non-constant limits. Interpretation of the region of integration of a multiple integral and evaluation of multiple integrals by changing the order of integration.
Numerical methods: Newton-Raphson method; numerical integration using power series.
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.
Facility with the underlying mathematical tools that will support many other courses in the Electronic Engineering degree programmes.
All students should be at a sufficient level of ability in Mathematics by the end of semester 1 that they can benefit from the course Mathematics II – Applied Mathematics.
Learning and teaching methods include the following:
Lectures (3 or 5 hours per week for 11 weeks, depending on stream).
Class discussion in lectures.
One-to-one sessions with lecturers during office hours.
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. The assignments give the students a chance to practise the required techniques shortly after they have been taught.
Thus, the summative assessment for this module consists of the following.
· 2-hour, closed-book written examination (60%)
· 1-hour unseen written class test (typically in week 4) (20%)
· 1-hour unseen written class test (typically in week 9) (20%)
Any deadlines given here are indicative. For confirmation of exact date and time, please check the Departmental assessment calendar issued to you.
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
Reading list for MATHEMATICS I: PURE MATHEMATICS : http://aspire.surrey.ac.uk/modules/eee1031
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 2017/8 academic year.