الجامعة :جامعة المنصورة |
الكلية :كلية الحاسبات والمعلومات |
القسم :علوم الحاسب |
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| 1- بيانات المقرر :- |
| | الرمز الكودى: | عح472 | | اسم المقرر: | نظم قواعد المعرفة | | الفرقة: | رابعة علوم الحاسب | | عنوان البرنامج: | | | التخصص: | | | عدد الساعات: | نظري: | 3 | فصل: | | عملى: | 3 |
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| 2- أهداف المقرر :- |
| - This course introduces students to learn how to build expert systems in a variety of application areas.
- Learn the student how knowledge Engineer select the soaftware and hardware tools for the project, extract the necessary knowledge from the Domain Expert and implement the knowledge in a correct and efficient knowledge base.
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| 3- نواتج التعلم المستهدفة للمقرر :- |
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| 4- محتويات المقرر :- |
| | م | الموضوع | الأسبوع |
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| 1 | Introduction to : knowledgebased expert systems, conventional programming versus knowledge engineering | | | 2 | Human problem solving : Human knowledge Acquisition - the production system as a processing model - problem solving - varieties of knowledge - the nature of experties. | | | 3 | Knowledge Representation issues. | | | 4 | Strategies for representing knowledge : Using Predicate Logic - Resolution in Predicate Logic. | | | 5 | representing knowledge : Using Rules - Forward and Backward Reasoning. | | | 6 | representing knowledge : Using Semanic network. | | | 7 | representing knowledge : Using Frames. | | | 8 | Uncerainty - Symbolic Reasoning under Uncerainty. | | | 9 | Languages and tools : Levels of soaftware, AI language and environments. | | | 10 | Building Expert Systems in Prolog. | |
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| 5- أساليب التعليم والتعلم :- |
| | م | الاسلوب |
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| Lectures | | Practical work | | Term project to build a prototype for Real expert system |
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| 6- أساليب التعليم والتعلم للطلاب ذوى القدرات المحدودة :- |
| لا توجد بيانات. |
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| 7- تقويم الطلاب :- |
| أ- التوقيت |
| | م | الطريقة | الأسبوع |
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| 1 | Mid_Term Exam | 8 | | 2 | Practical Exame | 12 | | 3 | Oral EXam and descussion to the Term project | 14 | | 4 | Final Term Exam | 16 |
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| ب- توزيع الدرجات |
| | م | الطريقة | الدرجة |
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| 1 | امتحان نصف الترم | 5 | | 2 | امتحان آخر الترم | 75 | | 3 | الامتحان الشفوى | 5 | | 4 | الامتحان العملى | 10 | | 5 | أعمال الترم | 5 | | 6 | طرق أخرى للتقييم | | | المجموع | 100% |
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| 8- قائمة الكتب الدراسية والمراجع |
| | م | العنصر | النوع |
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| 1 | An Introduction to Expert Systems ( Knowledge Base ) | | | 2 | DAN W. PATTERSON, " Artificial Intelligence an Expert Systems " 2004 | | | 3 | Peter Jackson, " Introduction to Expert Systems " | | | 4 | Robert I. Levine, " A Comperhensive Guide to AI and Expert Systems " | |
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| 9- مصفوفة المعارف والمهارات المستهدفة من المقرر الدراسي |
| | م | المحتوى | أسبوع الدراسة |
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| Introduction to : knowledgebased expert systems, conventional programming versus knowledge engineering | | | Human problem solving : Human knowledge Acquisition - the production system as a processing model - problem solving - varieties of knowledge - the nature of experties. | | | Knowledge Representation issues. | | | Strategies for representing knowledge : Using Predicate Logic - Resolution in Predicate Logic. | | | representing knowledge : Using Rules - Forward and Backward Reasoning. | | | representing knowledge : Using Semanic network. | | | representing knowledge : Using Frames. | | | Uncerainty - Symbolic Reasoning under Uncerainty. | | | Languages and tools : Levels of soaftware, AI language and environments. | | | Building Expert Systems in Prolog. | |
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| اساتذة المادة: - |
| - طاهر توفيق أحمد حمزة
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| رئيس مجلس القسم العلمى: - |
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