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Lancaster University

Lancaster University, officially The University of Lancaster, is a British university in Lancaster, Lancashire, England. Lancaster is the 7th highest ranking research institution in the United Kingdom according to the last Research Assessment Exercise. The University has an annual income of £149 million, 2,250 staff and 17,415 students. Along with the universities of Durham, Leeds, Liverpool, Manchester, Newcastle, Sheffield and York, Lancaster forms the N8 Group of research universities. Lancaster was ranked 10th of 113 British universities in the 2008 Good University Guide.

More information: http://en.wikipedia.org/wiki/Lancaster_University

Amy Burgess, Exeter University Karin Tusting, Lancaster University RaPAL, Greenwich, 15-17 July 2010

Amy Burgess, Exeter University Karin Tusting, Lancaster University RaPAL, Greenwich, 15-17 July 2010
German Reunification

German Reunification
Biographies and ILPs: personal and political representations of adult literacy learners Sandra Varey Postgraduate Research Student Department of Educational Research Lancaster University July 2010

Biographies and ILPs: personal and political representations of adult literacy learners Sandra Varey Postgraduate Research Student Department of Educational Research Lancaster University July 2010
The German Social Welfare System

The German Social Welfare System
Perfume and France from 80’s to 90’s Competition Internationalization

Perfume and France from 80’s to 90’s Competition Internationalization
Privatisation of EDF Group 3 Euro 200

Privatisation of EDF Group 3 Euro 200

Laura Bond-Powell Mark Clayton Tom Surgeon Pierre Emmanuel Leng Catherine Wood
ILC Positron Source & Spin Tracking

ILC Positron Source & Spin Tracking

http://www.astec.ac.uk/id_mag/ID-Mag_Helical.htm I.R. Bailey, J.B. Dainton, L.J. Jenner, L.I. Malysheva (University of Liverpool / Cockcroft Institute) D.P. Barber (DESY / Cockcroft Institute) G.A. Moortgat-Pick (IPPP, University of Durham / CERN / Cockcroft Institute) A. Birch, J.A. Clarke, O.B. Malyshev, D.J. Scott (CCLRC ASTeC Daresbury Laboratory / Cockcroft Institute) E. Baynham, T. Bradshaw, A. Brummit, S. Carr, Y. Ivanyushenkov, J. Rochford (CCLRC Rutherford Appleton Laboratory) P. Cooke (University of Liverpool) Helical Collaboration Ian Bailey University of Liverpool / Cockcroft Institute

The ALPHA-X Project Mark Wiggins Technical Manager The Cockcroft Institute
RF Technology Professor Richard Carter Lancaster University Engineering Department 23rd November 2006

RF Technology Professor Richard Carter Lancaster University Engineering Department 23rd November 2006
MSc Dissertation Writing MSc International Business MSc Money, Banking & Finance 2007/8 Dr Robert Read

MSc Dissertation Writing MSc International Business MSc Money, Banking & Finance 2007/8 Dr Robert Read
The Firm

The Firm

Outline 1. The objectives of the firm 2. Measuring costs of production 3. Rules for profit maximisation 2. Economies of scale & scope
Law of Demand

Law of Demand

There is an inverse relationship between the price of a good and the quantity of the good demanded per time period. Substitution Effect Income Effect

Optimal Path planning for (Unmanned) Autonomous Vehicles, UAVs Objective: The main aim of the project is to find out the optimal path or trajectory including their corresponding control parameters to control the vehicle dynamics in obstacle full dynamic environment. The vehicle should navigate in the obstacle full environment and reach the target point by avoiding the obstacles with minimizing the cost function defined in the aspect of minimising the changes in the control function. Introduction: From last decade, the demand of the concepts in the design and implementation of unmanned vehicles is increasing. The Path planning is one of the main concept in this area. The optimal control methodology and heuristic approach are used for path planning and the results obtained are compared. Mars –Rover Unmanned Ground Vehicle Unmanned Aerial vehicle Start Fig. The bounded parameter constraint variation in UAV navigation – Heuristic Approach Conclusion: The DCNLP algorithm is proved to be one of the good procedures in path planning of unmanned vehicles but with the real time environment situation the computational complexity increases though it is better algorithm than heuristic approach. References: 1) Jayesh N. Aminy, Jovan D. Boskovi´cz, and Raman K. Mehra,’ A Fast and Efficient Approach to Path Planning for Unmanned Vehicles’, AIAA Guidance, Navigation, and Control Conference and Exhibit, 21 - 24 August 2006, Keystone, Colorado. 2) Brian R. Geiger, Joseph F. H...
Worker turnover: quits and separations

Worker turnover: quits and separations

Is worker turnover desirable? Why do workers quit? Why do they separate? Empirical evidence Public sector ILM
Non-monetary rewards & compensating differentials

Non-monetary rewards & compensating differentials

1. What are non-monetary & non-wage rewards? MNCs Other jobs 2. Theory (Compensating differentials) 3. Empirical evidence Executive pay Teachers
Different types of labour

Different types of labour
INDIFFERENCE ANALYSIS

INDIFFERENCE ANALYSIS

Indifference curves constructing an indifference curve the shape of an indifference curve diminishing marginal rate of substitution an indifference map The budget line constructing a budget line effect of a change in income effect of a change in price
Remuneration & Monitoring

Remuneration & Monitoring

1. Introduction 2. Principal-Agent Theory 3. Do incentives work? 4. Empirical evidence
Performance related pay

Performance related pay

1. Background 2. Effects 3. Empirical evidence 4. Problems with PRP
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