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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2007/2008
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Home : College of Science and Engineering : School of Mathematics (Schedule P) : Mathematics for Physical Science & Engineering

Mathematical Methods 2 (U01682)

? Credit Points : 10  ? SCQF Level : 8  ? Acronym : MAT-1-mm2

Hyperbolic functions, inverse trigonometric functions. Differentiation of inverse functions and its use in integration. Integration by parts. Separable differential equations. First order linear differential equations with constant coefficients. Direction fields, Euler's method, trapezium and Simpson's rule with extrapolation, Newton-Raphson method. Implicit, parametric and polar functions. Introduction to partial differentiation, directional derivative, differentiation following the motion, differentials and implicit functions. Limits and improper integrals, substitution.

Entry Requirements

? Pre-requisites : Prior attendance at MAT-1-mm1

? Prohibited combinations : MAT-1-mi2, MAT-2-mm2A

Subject Areas

Delivery Information

? Normal year taken : 1st year

? Delivery Period : Semester 2 (Blocks 3-4)

? Contact Teaching Time : 2 hour(s) 30 minutes per week for 11 weeks

First Class Information

Date Start End Room Area Additional Information
07/01/2008 09:00 09:50 Lecture Theatre 4, Appleton Tower Central Chemists & Physicists attend 1210 in AT Th 4

1 of the following 2 classes

Type Day Start End Area
Lecture Mo 09:00 09:50 Central
Lecture Mo 12:10 13:00 Central

1 of the following 2 classes

Type Day Start End Area
Lecture Th 09:00 09:50 Central
Lecture Th 12:10 13:00 Central

? Additional Class Information : Lectures: M, Th 0900 or 1210
Tutorials: Wed at 0900, 1000, 1110, 1210, 1305 or 1400(shared with MAT-1-am2)

Summary of Intended Learning Outcomes

Further function types: understanding

1. the definition and properties of hyperbolic functions
2. the definition and properties of inverse trigonometric functions and using them to solve trigonometric problems
3. implicit functions and ability to graph them
4. parametric functions and ability to graph them
5. how to translate between cartesian and polar coordinates and draw simple polar curves

Further Differentiation: ability

1. to understand inverse functions and to differentiate hose for sin and tan
2. to use hyperbolic functions, including simple calculus properties
3. to differentiate implicit functions
4. to calculate simple partial derivatives
5. to calculate directional derivatives
6. of perform differentiation following the motion
7. to construct and use differential expressions
8. to use Newton-Raphson's method
9. to understand the notation used in thermodynamics

Further Integration: ability

1. to evaluate integrals in terms of inverse circular functions
2. to use integration by parts
3. to use substitutions of various types
4. to calculate arc-lengths and areas for parametric functions

Differential equations: ability

1. to identify and solve separable differential equations
2. to solve linear homogeneous first-order differential equations with constant coefficients
3. to find particular solutions for linear differential equations with constant coefficients, for simple right-hand sides
4. to fit initial and boundary conditions

Numerical calculus: ability

1. to use the composite trapezium rule
2. to use Simpson's rule
3. to apply Richardson's Extrapolation to trapezium and Simpson's rules
4. to draw direction fields and sketch solution curves
5. to use Euler's Method for differential equations

Limits and Continuity: ability

1. to use L'Hopital's Rule
2. to use the limits of combinations of log, polynomial and exponential functions
3. to evaluate 'improper' integrals

Assessment Information

Coursework: 15%
Degree Examination: 85%

Exam times

Diet Diet Month Paper Code Paper Name Length
1ST May 1 - 1 hour(s) 30 minutes
2ND August 1 - 1 hour(s) 30 minutes

Contact and Further Information

The Course Secretary should be the first point of contact for all enquiries.

Course Secretary

Mrs Gillian Law
Tel : (0131 6)50 5085
Email : G.Law@ed.ac.uk

Course Organiser

Dr Noel Smyth
Tel : (0131 6)50 5080
Email : N.Smyth@ed.ac.uk

Course Website : http://student.maths.ed.ac.uk

School Website : http://www.maths.ed.ac.uk/

College Website : http://www.scieng.ed.ac.uk/

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