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1 Artificial Intelligence CSC450 Lecture 1 Copyright Information goes here Dr. Osman Ahmed Abdalla Company Proprietary and Confidential 2 Outline … Course Code and Credit Hours Course Prerequisites Course Objectives Course learning Outcomes Covered Topics Per Week Course Textbox and References Strategies of Teaching and Assessment Course Assessment and Proportion Instructor Information Copyright Information goes here CSC450 Dr. Osman Ahmed Lecture 1 Company Proprietary and Confidential Lecture-1 Objectives 3 ● To demonstrate the course credit hours, it prerequisites, objectives and learning outcomes ● To provide an important information about CSC450 Course ● To know the strategies of teaching and evaluation Copyright Information goes here CSC450 Dr. Osman Ahmed Lecture 1 Company Proprietary and Confidential Course information 4 Institution: University of Tabuk Faculty of Computers and Information Technology / Computer Science Dep. Course title and code: Artificial Intelligence (CSC450) Credit hours: 2-2-2-3 Program(s) in which the course is offered: Computer Science Program Level/year at which this course is offered: Level 8/ Year 4 6. Pre-requisites for this course (if any):Design and Analysis of Algorithms CSC 321 7. Co-requisites for this course (if any): N/A Copyright Information goes here CSC450 Dr. Osman Ahmed Lecture 1 Company Proprietary and Confidential Course Objectives 5 After taking this course, the student will be able to: Understand history and applications of AI Formulate problem state space for a problem expressed in English Select appropriate search algorithm for a problem and solve it using AI programming language Understand the basic method of reasoning Explain how agent differ from other category of intelligent systems Compare and construct the most common models used for knowledge representation and highlighting their strengths and weakness Ability to implement AI methods using AI language. Copyright Information goes here CSC450 Dr. Osman Ahmed Lecture 1 Company Proprietary and Confidential Course Learning Outcomes 6 Outcome Course Learning Outcome (CLO) b.2 Choose appropriate strategy to analyze the problems such as problem decomposition and abstraction إختيار اإلستراتيجية المالئمة لتحليل المشاكل Use appropriate logic and computer syntax for solution development-coded should be correct, concise, and clear مطورة ينبغي أن تكون صحيحة وموجزة- إستخدام المنطق المناسب وبناء جمل حاسب لـحل شفرة .وواضحة Understand the theory, algorithm and design of algorithmic solutions . وتصميم الحلول الخوارزمية، الخوارزمية،فهم النظرية Demonstrate game applications with the application of AI in teams. شرح تطبيقات االلعاب مع تطبيقات الذكاء الصناعي في شكل فريق State big O notation memory usage and running times associated with the developed algorithms. .توضيح طريقة بيق أوه إلستخدام الذاكرة وزمن التنفيذ المرتبطة بالخوارزميات المتطورة c.1 c.4 d.2 k.7 Copyright Information goes here CSC450 Dr. Osman Ahmed Lecture 1 Company Proprietary and Confidential Topics to be covered No 1 2 3 4 5 6 7 8 9 10 11 Topic AI history and applications. Intelligent Agents. Basic Search Strategies Constraint Satisfaction Advanced Search Strategies Knowledge Representation. Logical Agents Knowledge base reasoning Reasoning in Uncertain Situations. Review Project presentation Copyright Information goes here CSC450 7 No of Weeks 1 1 2 1 2 2 1 2 1 1 1 Dr. Osman Ahmed Contact hours 3 3 6 3 6 6 3 6 3 3 3 Lecture 1 Company Proprietary and Confidential Essential Textbooks References 8 Artificial Intelligence: A Modern Approach, Stuart Russell and Peter Norvig , 3/E, Prentice Hall 2010, ISBN-13: 9780132126847. Prolog Programming for Artificial Intelligence, Ivan Bratko, 2011, 4th Edition, Addison Wesley 2009ISBN-13 / EAN: 9780201403756. Artificial Intelligence: Structures and Strategies for Complex Problem Solving, George F. Luger,2004, 6th Edition, Addison-Wesley 2009, ISBN: 0-805-31196-3 Copyright Information goes here CSC450 Dr. Osman Ahmed Lecture 1 Company Proprietary and Confidential Assessment methods and proportion distribution Assessment Task Assessmen t Week due Proportion of Final Assessment 1 Home works 3-15 20% 2 Midterms Exam 6, 12 20% 3 Projects 8, 14 10% 4 Lab Exam. 15 10% 5 Final Exam. 16 40% Copyright Information goes here CSC450 Dr. Osman Ahmed Lecture 1 9 Company Proprietary and Confidential Instructor Information Name: Dr. Osman Ahmed Abdalla Qualifications: 1. PhD in IT, University 10 Technology PETRONAS, Malaysia. 2. MSc. in Computer Science and IT, University of Gezira, Sudan. 3. BCs. (Honor) in Computer Science, University of Gezira, Sudan. E-Mail: [email protected] Webpage: http://ut.edu.sa/web/u57989 Gmail Course [email protected] Group: Copyright Information goes here CSC450 Dr. Osman Ahmed Lecture 1 Company Proprietary and Confidential 11 The End Copyright Information goes here CSC450 Dr. Osman Ahmed Lecture 1 Company Proprietary and Confidential