Transcript Course Guide-092 - Ms. Raghad Altikriti

[CS-370: Artificial Intelligence ]
Course Guide
Ms.Raghad Altikriti
http://www.raltikriti.synthasite.com
Prince Sultan University,
College for Women
Outline
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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
Week Due
Assessment
Assessment Task
1
Class attendance and Participation
2
Homework
3
Quizzes
4
Through all
semester long
Proportion of Final
Assessment
5%
At the end of
chapter
5, 7 , 14
10%
Major Exam
12
20%
5
Research & presentation
14
10 %
6
Final Exam
16
40%
Total
15%
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
Exam
Zeros will be given upon suspicion
Assignment
Easy 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 …
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.
.
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 exam
Final exam is worth 40%. The final
exam will be semi-cumulative (will
include most of the chapters discussed
during the term).
Overall Assessment
Attendance
and Class
Participation
5%
Final Exam
40%
Project
10%
Quizzes
15%
Assignment
10%
Major Exam
20%
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.