[cs-370: artificial intelligence ] course guide ms.raghad altikriti
DESCRIPTION
[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 - PowerPoint PPT PresentationTRANSCRIPT
[CS-370: Artificial Intelligence ]Course Guide
Ms.Raghad Altikritihttp://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 Other Policies (e.g., Plagiarism) Class Participation Homework Sample Quizzes Major Exams & Final Exam Overall Assessment How to Study for Course
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.
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.
Course Resources
Main source Stuart Russell and Peter Norvig; Artificial
Intelligence: A Modern Approach, Second Edition; Prentice-Hall, Inc.; 2002.
Course Calendar
Assessment Assessment TaskWeek Due Proportion of Final
Assessment
1 Class attendance and Participation Through all semester long
5%
2 Homework At the end of chapter
10%
3 Quizzes 5, 7 , 14 15%
4 Major Exam 12 20%
5 Research & presentation 14 10 %
6 Final Exam 16 40%
Total 100%
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.
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).
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
ExamZeros will be given upon suspicion
AssignmentEasy to detect: both parties get a zero
Class Participation (5%)
Students must regularly come to class to participate in class activities and discussions
Project (10%)
//Author: Your name goes here
//Description: program to determine if …
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.
.
.
.
Homework Sample (15%)
//Author: Your name goes here
//Description: program to determine if …
.
.
.
.
.
Quizzes (15%)
Students will have the opportunity to take three quizzes during the term.
There will be no makeup quizzes.
Major Exam (20%)/ Final Exam (40%)
One Major is worth 20%. No Makeup examFinal exam is worth 40%. The final
exam will be semi-cumulative (will include most of the chapters discussed during the term).
Project10%
Quizzes15%
Assignment10%
Final Exam40%
Major Exam20%
Attendance and Class
Participation5%
Overall Assessment
How to Study for this Course
Read the chapter after the lectureTry 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.