الجامعة :جامعة المنصورة |
الكلية :كلية الحاسبات والمعلومات |
القسم :قسم نظم المعلومات |
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| 1- بيانات المقرر :- |
| | الرمز الكودى: | نمع 497 | | اسم المقرر: | موضوعات مختارة فى نظم المعلومات - 1 - الشبكات العصبيه | | الفرقة: | رابعة نظم المعلومات | | عنوان البرنامج: | | | التخصص: | | | عدد الساعات: | نظري: | 3 | فصل: | | عملى: | 3 |
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| 2- أهداف المقرر :- |
| - This aim of this course is to give the participants a good background about artificial neural networks. It introduces the concepts of connectionism, along with algorithms for simulating neural networks, discussion of alternative neural network architectures and training algorithms.
- understand how to design and implement artificial neural networks
- increase ability to solve existing problems by using artificial neural networks
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| 3- نواتج التعلم المستهدفة للمقرر :- |
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| 4- محتويات المقرر :- |
| | م | الموضوع | الأسبوع |
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| 1 | Introductio to neural networks | | | 2 | Differences between biological and artificial neuron | | | 3 | Design of artificial neuron | | | 4 | Types of activation functions | | | 5 | Neural network architecture | | | 6 | Learning different Models of neural networks | | | 7 | Training Algorithms (Hebbian, Perceptron, Adaline, Madaline, backpropagation) | | | 8 | Neural Networks Based on Competition | | | 9 | Neural Networks Based on Competition | | | 10 | Hardware implementation of neural networks | | | 11 | Neural network applications | | | 12 | Review and discussion | |
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| 5- أساليب التعليم والتعلم :- |
| | م | الاسلوب |
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| Computer | | Data Show | | power point slides | | whiteboard | | different software |
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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 | 10 | | 2 | reports | 14 | | 3 | oral | 14 |
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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 | Simon Hayken, " Neural Networks: A Comprehensive Foundation," Prentice-Hall, Inc. 1999. | | | 2 | J. Hertz, A. Krogh, and R. G. Palmer, "Introduction to the Theory of Neural Computation," Addison-Wesley, 1991. | | | 3 | Laurene V. V. Fausett "Fundamentals of neural networks, architectures, algorithms, and applications," Prentice Hall, Inc. 1993. | |
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| 9- مصفوفة المعارف والمهارات المستهدفة من المقرر الدراسي |
| | م | المحتوى | أسبوع الدراسة |
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| Introductio to neural networks | | | Differences between biological and artificial neuron | | | Design of artificial neuron | | | Types of activation functions | | | Neural network architecture | | | Learning different Models of neural networks | | | Training Algorithms (Hebbian, Perceptron, Adaline, Madaline, backpropagation) | | | Neural Networks Based on Competition | | | Neural Networks Based on Competition | | | Hardware implementation of neural networks | | | Neural network applications | | | Review and discussion | |
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| اساتذة المادة: - |
| - حازم مختار مختار البكرى
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| رئيس مجلس القسم العلمى: - |
| علاء الدين محمد رياض |
