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This session of two presentations will outline the latest developments in Metaheuristic Method for Transport Modelling and Optimization and in Teaching Supercomputers


Professor Stefka Fidanova, Bulgarian Academy of Sciences
Dr Velislava Stoykova, Bulgarian Academy of Sciences


18:00 - Registration
18:30 - Event starts
20:00 - Close


This is a joint event with BCS Hampshire Branch, BCSWomen, Solent University, & SMAT Computing Subject Group.

Metaheuristic Method for Transport Modelling and Optimization - Wireless sensor networks are formed by spatially distributed sensors, which communicate in a wireless way. This network can monitor various kinds of environment and physical conditions like movement, noise, light, humidity, images, chemical substances etc. A special device called a high energy communication node collects data from all the sensors and sends them to be processed. A given area need to be fully covered with the minimal number of sensors and the energy consumption of the network needs to minimal too. The problem is multi-objective with two objective functions. We propose the Ant Colony Optimization algorithm to solve it.

Teaching Supercomputers focusses on results of semantic search analysis of the key educational concepts and their conceptual relations presented in the course "Supercomputers I and II" taught at the School of Media, Arts and Technology at the Solent Southampton University during 2015--2019 academic years. The study uses Big Data Analytics approaches to extract the domain key concepts and to outline their pedagogical interconnections which reflect the structure of course lectures, so to teach 'supercomputers' as an university subject with its specificity and to allow students to acquire that knowledge comprehensively by having the insight of its key concepts as well as of its practical applications. The study uses the Sketch Engine software's statistical approaches, so to extract the key terms (related to the key concepts in the field) from the course texts lectures and to compare their semantic content with that produced by the students (feedback) in the related courses taught at some other universities in the UK. It, also, outlines the importance of the 'activity-based learning approach' used for supporting the teaching process, so to improve the acquired knowledge by the use of Solent Online Learning system allowing interactive and distant web-based learning.



Professor Stefka Fidanova
She works in the Institute of Information and Communication Technologies at Bulgarian Academy of Sciences. She obtained her MSc degree on applied mathematics and a PhD degree in Computer Science from Sofia University, Sofia Bulgaria. Her field of research includes combinatorial optimization, parallel computing, mathematical modelling. Stafka FIdanova web site is: http://parallel.bas.bg/~stefka/

Dr Velislava Stoykova

who is is Chief Assistant Professor at Department of Terminology and Terminography, The Institute for Bulgarian Language, Bulgarian Academy of Science.


For overseas delegates who wish to attend the event please note that BCS does not issue invitation letters.


BCS Hampshire Branch
Visit www.hampshire.bcs.org

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Metaheuristic Method for Transport Modelling and Optimization & Teaching Supercomputers - Hampshire Branch
Date and time
Thursday 28 November, 6:00pm - 8:00pm
Solent University
East Park Terrace
The Spark Building, room TS 011
SO14 0RD
This event is sold out