صفحة عضو هيئة التدريس

Advance course is intended to cover the fundamental concepts and techniques of Decision Support Systems (DSS) and its components, types and characteristics. This course is intended to develop an appreciation of the nature of managerial business decision-making as well as a working knowledge of Decision Support Systems for facilitating the process of semi-structured and non-structured decision-making. Issues associated with the development of these systems are introduced, along with some of the underlying mathematical modelling techniques that provide DSS with a problem-solving capability such as linear programming and others. Moreover, student can demonstrate and understand the fundamental principles and capabilities of Groupware and Group Support Systems (GSS), Knowledge Management (KM), Artificial Intelligence (AI) and Knowledge-based Systems (KS) and learn what expert systems and reasoning genetic algorithms, fuzzy logic, intelligent software agents, etc. which are used to develop intelligent decision support systems (DSS).

Advance course is intended to cover the fundamental concepts and techniques of Decision Support Systems (DSS) and its components, types and characteristics. This course is intended to develop an appreciation of the nature of managerial business decision-making as well as a working knowledge of Decision Support Systems for facilitating the process of semi-structured and non-structured decision-making. Issues associated with the development of these systems are introduced, along with some of the underlying mathematical modelling techniques that provide DSS with a problem-solving capability such as linear programming and others. Moreover, student can demonstrate and understand the fundamental principles and capabilities of Groupware and Group Support Systems (GSS), Knowledge Management (KM), Artificial Intelligence (AI) and Knowledge-based Systems (KS) and learn what expert systems and reasoning genetic algorithms, fuzzy logic, intelligent software agents, etc. which are used to develop intelligent decision support systems (DSS).

Advance course is intended to cover the fundamental concepts and techniques of Decision Support Systems (DSS) and its components, types and characteristics. This course is intended to develop an appreciation of the nature of managerial business decision-making as well as a working knowledge of Decision Support Systems for facilitating the process of semi-structured and non-structured decision-making. Issues associated with the development of these systems are introduced, along with some of the underlying mathematical modelling techniques that provide DSS with a problem-solving capability such as linear programming and others. Moreover, student can demonstrate and understand the fundamental principles and capabilities of Groupware and Group Support Systems (GSS), Knowledge Management (KM), Artificial Intelligence (AI) and Knowledge-based Systems (KS) and learn what expert systems and reasoning genetic algorithms, fuzzy logic, intelligent software agents, etc. which are used to develop intelligent decision support systems (DSS).