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| MQGE0003-1 | Artificial Intelligence and Management
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| Duration : | 24h Th |
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| Credits/ECTS : |
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| Holder(s) : | Daniel Dubois |
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| Language : | French language |
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| Course contents : | The new course will deal with an area-edge computer applications that is artificial intelligence.
The artificial intelligence was developed initially along two axes, at one hand, the expert systems and, at the other hand, the neural networks.
Expert systems are computer programs that allow encoding of know-how of human experts in a particular area: these programs are able to take decisions in the absence of these experts.
The neural networks are programs that simulate the neurons of a human brain and which are capable of automatic learning without programming. The applications of neural networks are numerous, for example, in pattern recognition, in fingerprint recognition, and in data mining.
A third axis of artificial intelligence has rapidly developed: intelligent agents and multi-agent systems that are based on distributed artificial intelligence.
An agent is an autonomous entity able to communicate with a partial knowledge of his surroundings and a private behavior, and an own enforcement capacity.
Many intelligent softwares have been developed in internet-based artificial management.
The more recent developments suggest to enhance intelligent systems with an artificial consciousness. |
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| Course objective : | The objective of course is to familiarize students to the field of artificial intelligence and its contributions to management.
First, the course will present a brief history of artificial intelligence.
Then, it will address the methods and tools in artificial intelligence and software.
Finally practical applications will be presented to management.
Abstract:
Artificial Intelligence simulates human brain in the form of artificial neural networks.
Neural networks are programs that work by a learning process to solve problems, without computer programming.
The applications of the neural networks are numerous for the topics where there is no possibility to make an algorithmic computer program.
The free open software of Data Mining, as WEKA, Tanagra, Sipina, etc, contain some artificial neural networks for the realisation of any practical applications.
Among the most common applications, one may cite: the recognition of the patterns, of the faces, and of the fingerprints, the evolution of a pollution in the environment, the analysis of the stock prices, the prediction of the sale of a product in the near future, etc..
Realization of an AI project by the students:
Students will realise a personal project for the application of artificial intelligence: for example, recognition of forms by learning of a neural network of a Data Mining software.
Students will write a report on their project and present this project to the oral examination. |
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| Prerequisites : | There is no specific prerequisite fir this course. |
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| Workshops : | Sessions of presentation of programs, softwares and applications on PC will be organized. |
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| Organization : | This course will be given in even years: the next, in 2010-2011.
Schedule:
http://www.hec.ulg.ac.be/FR/enseignement/portail/horaires.php (http://www.hec.ulg.ac.be/FR/enseignement/portail/horaires.php" target="_blank) |
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| Written notes : | Some syllabi will be available on the lol@ website:
http://lola.hec.ulg.ac.be/ (http://lola.hec.ulg.ac.be/" target="_blank) |
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| Assessment : | Evaluation of the student report and project.
Oral examination: presentation of the project by the student, and questions in relation on the course. |
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| Contacts : | Prof. Daniel Dubois, HEC-ULg, GSM: 04 95 510 419, Daniel.Dubois@ulg.ac.be |
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| Remarks : | - - |
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