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[CS-370: Artificial Intelligence ] Course Guide Ms.Raghad Altikriti

[CS-370: Artificial Intelligence ] Course Guide Ms.Raghad Altikriti http://www.raltikriti.synthasite.com Prince Sultan University, College for Women. Outline. Course Description Course Objectives Course Resources Course Calendar Course Location & Office Hours Attendance Policies

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[CS-370: Artificial Intelligence ] Course Guide Ms.Raghad Altikriti

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  1. [CS-370: Artificial Intelligence ] Course Guide Ms.Raghad Altikriti http://www.raltikriti.synthasite.com Prince Sultan University, College for Women

  2. Outline • Course Description • Course Objectives • Course Resources • Course Calendar • Course Location & Office Hours • Attendance Policies • Other Policies (e.g., Plagiarism) • Class Participation • Homework Sample • Quizzes • Major Exams & Final Exam • Overall Assessment • How to Study for Course

  3. Course Description • CS370 introduces students to basic concepts and methods of artificial intelligence from a computer science perspective, including knowledge representation methods and techniques, Problem solving, structures and strategies for state space search and Heuristic search techniques.

  4. Course Objectives • Learn about the widely applied techniques of logical representation languages and search techniques for problem solving. • Familiarity with different applications of AI such as Robotics, Pattern Recognition, expert systems. • Understand the principles and mechanisms underlying various kinds of intelligent processes • Have an awareness of the philosophical issues that arise within Artificial Intelligence • Have an awareness of key issues in Artificial Intelligence and Computer Science that will continue to challenge researchers in the future.

  5. Course Resources • Main source • Stuart Russell and Peter Norvig; Artificial Intelligence: A Modern Approach, Second Edition; Prentice-Hall, Inc.; 2002.

  6. Course Calendar

  7. Course Location & Office Hours • Course Location: • Monday 10.00-12.00 ( 361 ) • Tuesday 08.00 - 09.50 (342 ) • Office Hours: • Please see schedule on office door (office # 364). • Other hours by appointment or drop in if the door is open.

  8. Attendance Policies • Students that regularly come to class 10 minutes late will be marked absent. • Students that are regularly absent will be given DN warnings. (See DN Warning Flyer).

  9. Other Policies • Course website should be checked frequently. • Students should read from the textbook. • Late assignments will not be accepted. • All assignments must be completed individually by each student • There will be no Make up exam or quiz • Cheating • Exam • Zeros will be given upon suspicion • Assignment • Easy to detect: both parties get a zero

  10. Class Participation (5%) • Students must regularly come to class to participate in class activities and discussions

  11. Project (10%) //Author: Your name goes here //Description: program to determine if … . . . . .

  12. Homework Sample (15%) //Author: Your name goes here //Description: program to determine if … . . . . .

  13. Quizzes (15%) • Students will have the opportunity to take three quizzes during the term. • There will be no makeup quizzes.

  14. Major Exam (20%)/ Final Exam (40%) • One Major is worth 20%. • No Makeup exam • Final exam is worth 40%. The final exam will be semi-cumulative (will include most of the chapters discussed during the term).

  15. Overall Assessment

  16. How to Study for this Course • Read the chapter after the lecture • Try to do all of the exercises & Reflect Questions in each chapter. • Think Critically – ask questions, make notes, and reflect on material. • Practice the test questions on the Companion Website. • Attempt the Assignments properly.

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