Difference between revisions of "KESE 2009"

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It all depends on what you dnfiee to be best . Are you referring to job salary, marketable skills sets, etc. or the technical content?CE's take some of the microelectronic circuit courses EE's do but they also take more programming and computer architecture (memory  structures for example) courses. EE's however take way more analog courses (e.g. designing ADC, DAC, analog ASICs, etc.). In fact the curriculum for the first two years of undergrad studies for an EE and CE is almost identical.Electrical engineering in the traditional  sense are engineers who design power grids. Power plants which generate and distribute electrical power.Electronics engineers are newer and these engineers design consumer electronics.Computer engineers mostly work with embedded systems. Do not confuse this with computer science which is mostly writing code.I am a recent EE grad myself and am working with opto electronic sensors. I took no course on such devices when I was in school. Also I write firmware which again I did not take courses on.However the fundamentals (physics, calculus, circuits, microprocessors, programming, etc.) all EE/CE engineers take make them more flexible and these three disciplines you mentioned have many dependencies so you have to both study and work in these fields on a job.I gave you a very high level and gray description of the three so search around some more and keep on asking questions. My $0.02
| Acronym = KESE 2009
 
| Title =  5th Workshop on Knowledge Engineering and Software Engineering at the 32nd German Conference on Artificial Intelligence
 
  | Type = Workshop
 
| Series =
 
| Field = Software engineering
 
| Homepage = kese.ia.agh.edu.pl
 
| Start date = Sep 15, 2009
 
| End date =  Sep 15, 2009
 
| City= Padeborn
 
| State =
 
| Country =  Germany
 
| Abstract deadline =
 
| Submission deadline = Jun 8, 2009
 
| Notification =
 
| Camera ready = Mar 8, 2011
 
}}
 
 
 
<pre>
 
5th Workshop on
 
Knowledge Engineering and Software Engineering KESE 2009
 
at the 32nd German Conference on Artificial Intelligence
 
http://kese.ia.agh.edu.pl
 
 
 
Aims and Scope
 
==============
 
Intelligent systems have been successfully developed in various domains based on techniques and tools from the fields of knowledge engineering and software engineering. Thus, declarative software engineering techniques have been established in many areas, such as knowledge systems, logic programming, constraint programming, and lately in the context of the Semantic Web and business rules.
 
 
 
The fifth workshop on Knowledge Engineering and Software Engineering (KESE 2009) wants to bring together researchers and practitioners from fields of software engineering and artificial intelligence, as well as the Semantic Web community. The intention is to give ample space for exchanging latest research results as well as knowledge about practical experience. The previous KESE Workshops were annually organized at KI conferences.
 
 
 
Topics of Interest
 
==================
 
Topics of interest include but are not limited to:
 
Knowledge and software engineering for the Semantic Web
 
Ontologies in practical knowledge and software engineering
 
Business Rules design and management
 
Knowledge representation, reasoning and management
 
Practical knowledge representation and discovery techniques in software engineering
 
Agent-oriented software engineering
 
Database and knowledge base management in AI systems
 
Evaluation and verification of intelligent systems
 
Practical tools for intelligent systems
 
Process models in AI applications
 
Declarative, logic-based approaches
 
Constraint programming approaches
 
 
 
Intended Audience
 
=================
 
We expect researchers and practitioners from the areas of knowledge and software engineering, and the Semantic Web. No limitation on the number of participants is planned.
 
 
 
Submission Details
 
==================
 
Papers should be formatted according to the Springer LNCS guidelines. The length of each paper should not exceed 12 pages for regular papers and 6 pages for short papers (including figures and references), see: ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip
 
All papers must be written in English and submitted in PDF format with the A4 paper size explicitly set in LaTeX. Submissions will be made via EasyChair.
 
 
 
Important dates
 
===============
 
Paper submission deadline:          June 8, 2009
 
Notification of paper acceptance:    July 8, 2009
 
Camera ready copy submission:      July 27, 2009
 
 
 
Call for Tool Presentations
 
===========================
 
This year we also strongly encourage the submission of tool presentation papers, i.e., system descriptions that clearly show the interaction between research and practice. Such papers could be shorter, and have to be explicitly identified as tool presentation.
 
 
 
Organization
 
============
 
The one-day workshop will be held with presentations of accepted papers. The submitted papers will be reviewed by at least two members of the program committee. A comfortable time slot for discussions will be given. The proceedings will be published as a technical report before the workshop, and as CEUR Workshop Proceedings (CEUR-WS.org) later on.
 
 
 
Workshop Chairs
 
G. J. Nalepa, AGH UST Krakow (gjn@agh.edu.pl)
 
J. Baumeister, University Würzburg (joba@uni-wuerzburg.de)
 
 
 
Program Committee (tentative)
 
K.-D. Althoff, University Hildesheim, Germany
 
J. Baumeister, University Würzburg, Germany
 
S. Bibi, Aristotle University of Thessaloniki, Greece
 
J. Ca?adas, University of Almería, Spain
 
U. Geske, FhG FIRST, Berlin, Germany
 
A. Giurca, BTU Cottbus, Germany
 
R. Knauf, TU Ilmenau, Germany
 
G. J. Nalepa, AGH UST, Krakow, Poland
 
F. Puppe, University Würzburg, Germany
 
D. Seipel, University Würzburg, Germany
 
I. Stamelos, Aristotle University of Thessaloniki,Greece
 
G. Weiß, SCCH, Austria
 
</pre>This CfP was obtained from [http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=4951&amp;copyownerid=3023 WikiCFP][[Category:Artificial intelligence]]
 

Latest revision as of 01:02, 17 November 2012

It all depends on what you dnfiee to be best . Are you referring to job salary, marketable skills sets, etc. or the technical content?CE's take some of the microelectronic circuit courses EE's do but they also take more programming and computer architecture (memory structures for example) courses. EE's however take way more analog courses (e.g. designing ADC, DAC, analog ASICs, etc.). In fact the curriculum for the first two years of undergrad studies for an EE and CE is almost identical.Electrical engineering in the traditional sense are engineers who design power grids. Power plants which generate and distribute electrical power.Electronics engineers are newer and these engineers design consumer electronics.Computer engineers mostly work with embedded systems. Do not confuse this with computer science which is mostly writing code.I am a recent EE grad myself and am working with opto electronic sensors. I took no course on such devices when I was in school. Also I write firmware which again I did not take courses on.However the fundamentals (physics, calculus, circuits, microprocessors, programming, etc.) all EE/CE engineers take make them more flexible and these three disciplines you mentioned have many dependencies so you have to both study and work in these fields on a job.I gave you a very high level and gray description of the three so search around some more and keep on asking questions. My $0.02