Course Description
Course Aims and objectives
Course outlines
Text book and references
Prerequisite
Grading policy
Instructors and office hours
Syllabus
Time table
Lecture Notes
Attached Files
Previous Exams
Course Description
| يمكن تعريف الذكاء الاصطناعى بأنه فرع من علوم الحاسوب التي تهتم بأتمتة السلوك الذكي. نعني بالذكاء أن نفعل الشيء الصحيح بالنظر إلى مجموعة من المدخلات ومجموعة متنوعة من الإجراءات. تشمل موضوعات البحث الرئيسية في الذكاء الاصطناعى: حل المشكلات ، التفكير ، التخطيط ، فهم اللغة الطبيعية ، رؤية الكمبيوتر ، البرمجة التلقائية ، والتعلم الآلي ، وما إلى ذلك. يتناول هذا المساق المعرفة الأساسية لفهم الذكاء الاصطناعى. سوف نقدم بعض خوارزميات البحث الأساسية لحل المشكلات. |
Course Aims And Objective
| At the end of this course, students should have: ? Further developed efficient strategies for learning. ? Gained an appreciation of Artificial Intelligence (AI) as a sub-area of computer science. ? Thoroughly understood, and been able to implement, the various methods of accomplishing a state space search. ? Understood the importance of knowledge to the problem solving process and the difficulties associated with the acquisition of this knowledge. ? Appreciated the need to have various knowledge representation methods to suit particular types of problems. ? Been able to identify the knowledge representation method for a particular problem definition. ? A relatively in depth knowledge of two other sub-fields of AI (excluding search and knowledge representation). ? An appreciation of the need for AI in real world situation. ; |
Course Outline
| Introduction | |
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| Intelligent agent | |
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| Problem Formulation and Search | |
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| Beyond Classical Search | |
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| Adversarial Search | |
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| Constraint Satisfaction Problems | |
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| Knowledge Representation Logical Agents | |
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| Knowledge Representation First-Order Logic | |
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| Inference in First Order Logic | |
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| Classical Planning | |
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| Planning and Acting in the Real World | |
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| Quantifying Uncertainty | |
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| Probabilistic Reasoning | |
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| Learning | |
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Text book and references
| The Main Book | |
| Title | Artificial Intelligence, A modern Approach:- Stuart Russell, Peter Norvig. |
| Author(s) | |
| Edition | Second Edition |
| Publisher | Prentice Hall |
| The References Book | |
| Title | Artificial Intelligence,Structures and Strategies for Complex problem Solving |
| Author(s) | 3. George F. Luger & William A. Stubblefield |
| Edition | Fifth edition, |
| Publisher | Addison Wesley, 2005. |
| Title | |
| Author(s) | 2. Ivan Bratko |
| Edition | Third edition, |
| Publisher | Addison Wesley |
Grading Policy
| Activity | Weight |
Instructors And Office Hours
| The Instructors of the Course | |
| Name: | مامون سليمان عبدالرحمن الربابعه |
| Office Hours: | |
| Office Phone: | |
| Instrcutor Mail: | marabahaa |
Miscellaneous
Time Table
| Subject | Hours |
| Attachment Files |
Previous Exams
| Previous Exams |