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EXPERT MANAGEMENT SYSTEMS

Course Code: CIG 316.3 • Study year: III • Academic Year: 2019-2020
Domain: Accounting • Field of study: Accounting and Management Information Systems
Type of course: Compulsory
Language of instruction: Romanian
Erasmus Language of instruction: English
Name of lecturer: Ioan Ileană
Seminar tutor: Arpad Incze
Form of education Full-time
Form of instruction: Class
Number of teaching hours per semester: 56
Number of teaching hours per week: 4
Semester: Autumn
Form of receiving a credit for a course: Grade
Number of ECTS credits allocated 5

Course aims:

The course aims at acquiring by students of skills in the use of computer resources in finance and accounting.
It aims at acquiring skills in developing and implementing prototypes of expert systems and on systems management expert.
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Course Entry Requirements:

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Course contents:

1. Terms of artificial intelligence 2. Foundations of expert systems 3. Representation of knowledge I, II, III 4. Embodiment of an expert system 5. Basics of Prolog programming language 6. Expert system generating 7. Management expert systems. Case studies

Teaching methods:

Interactive lecture (slide show), discussions

Learning outcomes:

• acquisition of fundamental knowledge about Artificial Intelligence • presentation of SE known • identify opportunities for continuing education and effective utilization of resources and learning techniques for their own development

Learning outcomes verification and assessment criteria:

Written exam – 60%; Practical work during semester – 40%.

Recommended reading:

• Andone Ioan, Ţugui Alexandru, Sisteme inteligente în management, contabilitate, finanţe, bănci şi marketing, Ed. Economică, Bucureşti, 1999.
• Ileană Ioan, Sisteme expert de gestiune, Seria Didactica, Universitatea „1 Decembrie 1918” Alba Iulia, 2004.
• Ioan Ileană, Corina Rotar, Maria Muntean, Inteligență Artificială, Ed. Aeternitas, 2009.