Showing posts with label 28th June 2012. Show all posts
Showing posts with label 28th June 2012. Show all posts

Wednesday, 20 June 2012

Hollywood Effect on Digital Forensics




 Do you want to learn how computer forensics is really done? 

Geraint Williams, Information Risk Consultant and Trainer for IT Governance Ltd and an Honorary Visiting Fellow at the University of Bedfordshire, will be speaking at Bedford College on the evening of Thursday 28 June.  This is part of the continuing programme of free evening lectures organised by the Computing Department at Bedford College in partnership with the local Bedford branch of the British Computer Society (BCS).

The success of forensics-based dramas like CSI, Numb3rs, and NCIS has ensured there is no shortage of applicants to study forensics.  Hollywood and its public are enamoured by the apparently supernatural potency of the discipline.  The "CSI effect" has given the public and particularly some members of juries inflated expectations of computer forensic analysis.  This talk looks at Hollywood and the TV interpretation of digital forensics and gives an insight into how it is really done.

Geraint will be speaking at Bedford College Studio Theatre on Thursday 28 June between 6.30 and 8.00pm, and this again promises to be an incredibly informative and enjoyable evening.
To ensure that you don't miss out you should register online at:
Everyone is welcome so mention this to all your colleagues, family and friends. 
Please register now to avoid disappointment, and we look forward to seeing you on 28 June

Friday, 1 June 2012

Artificial Intelligence- system optimization and education



The application of Artificial Intelligence techniques in system optimization and engineering education 

 Dr Rosa Basagoiti 
University of Mondragon, 
Spain 


 Date: Thursday 28th June 2012 
Time: 14:00 – 15:00 
 Venue: MY120, Avenue Campus  


SYNOPSIS  
This lecture will discuss various methods of Artificial Intelligence (AI) that can be applied in three different technical areas.  The first area involves lift engineering / vertical transportation where genetic algorithms can be used to solve the dispatching problem. This optimization problem can be considered as a Multiple Travelling Salesman Problem (MTSP) and can be treated with genetic algorithm techniques. Using these techniques, two different objectives can be pursued: time and energy consumption. Furthermore, fuzzy logic methods can help to decide automatically when to prioritize the time and when to prioritize the energy consumption.  

The second area is the system monitoring and diagnosis where feature extraction and classification can be used in a data-driven approximation approach combined with physical models.  In the third application, the personalization of content of e-learning platforms for students learning profiles is involved. In this problem one needs to create models of the students’ activity and use them in order to improve the student effectiveness and engagement, reducing the time used by the tutor to select content specific for each student.