Module Identifier | CS20410 | |||||||||||

Module Title | THE ADVANCED MATHEMATICS DRIVING LICENSE FOR COMPUTER SCIENCE | |||||||||||

Academic Year | 2006/2007 | |||||||||||

Co-ordinator | Dr Edel M Sherratt | |||||||||||

Semester | Semester 1 | |||||||||||

Other staff | Dr Frederick W Long, Dr Edel M Sherratt | |||||||||||

Pre-Requisite | CS10410 or equivalent. | |||||||||||

Course delivery | Lecture | 22 Hours. | ||||||||||

Seminars / Tutorials | 11 workshops | |||||||||||

Assessment |
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Further details | http://www.aber.ac.uk/compsci/ModuleInfo/CS20410 |

1. Number Representation

a) Carry out calculations in 2's complement and excess-n representations

b) Calculate precision and accuracy of floating point representations

c) Give examples of unexpected results of comparison that occur with floating point representations, and suggest programming alternatives.

2. Geometry

a) relate concepts from 2 and 3-dimensional coordinate geometry to vector algebra

b) perform computations using vectors and matrices to implement elementary algorithms used in computer graphics and robotics

3. Counting Techniques

Use sum and product rules, inclusion exclusion and the pigeonhole principle to answer questions about data and communications resources.

4. Probability and Statistics

a) describe the concept of variability and its manifestation in statistical diagrams;

b) describe the concepts involved in the statistical modelling of randomness.

5. Induction

Carry out proof by induction and complete induction over N.

6. Calculus

a) calculate the gradient of a curve and locate maxima, minima and turning points of a function;

b) calculate indefinite and definite integrals and find the area under a curve;

1.Number representation: (4 lectures)

calculations in 2's complement and excess-n representations ; precision and accuracy of floating point representations; examples of zero-divisions and unexpected results of comparison that occur because a floating point representation comprises a finite set of representatives of real intervals; programming alternatives; cancellation and guard digits.

2.Geometry: (6 lectures)

2 and 3-dimensional coordinate geometry; basic trigonometrical functions and identities, relating angles in different quadrants; vector and matrix algebra; elementary algorithms in computer graphics and robotics.

3.Counting Techniques: (2 lectures)

sum and product rules, inclusion exclusion and the pigeonhole principle; application of counting techniques to problems in data structures and communications.

4.Probability and Statistics: (4 lectures)

Summarising data. Shapes of distributions. Binomial experiments and large sample behaviour. The Poisson distribution as a model for randomness. Quick and graphical tests for the Poisson distribution. Waiting times and the exponential distribution. Basic ideas of significance and goodness of fit.

5.Induction: (3 lectures)

What is induction? Proof by induction over N; the Principle of Complete Induction.

6.Calculus: (3 lectures)

gradient of a curve; maxima, minima and turning points of a function; indefinite and definite integrals; area under a curve.

Problem_solving |
1. Problem Solving: by completing set worksheets | ||

Improving own Learning and Performance |
by mastering Mathematical skills which facilitate learning in many other areas of Computer Science and Software Engineering | ||

Application of Number |
a principal focus of the module ¿ along with application of symbols | ||

Subject Specific Skills |
Numeracy, symbol manipulation, abstraction |

Anthony Croft, Robert Davison. (1997)

James, Glyn. (2001)

Rosen, Kenneth H. (1999)

This module is at CQFW Level 5