Download Course No - Al-Isra University

Al-Isra Private University
Faculty of Information Technology
Department of CS
Course Plan
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Course No.:
0605451
Course Name: ARTIFICIAL INTELLIGENCE
Course Website:
Course Classification:
Department Compulsory (CS and CIS,
Department Elective (SE,
)
Time Division: 2 Lectures
Semester &Year: Second, 2013/2014
Course Description: (3 credit hours)
An introduction to artificial Intelligence, symbolic reasoning and knowledge representation techniques,
control strategies, heuristic search, and AI applications (expert systems, neural language processing,
robotics…etc.). Introduction to neural networks, genetic algorithm and simulated annealing.
Course Intended Outcomes: At the end of the course, students are expected to learn:






Basic Problem solving strategies
Heuristic search Techniques.
Knowledge representation and problem solving using machine intelligence.
Some of the widely used applications of AI: Expert systems and Natural language processing.
Getting introduced to Neural Network, GA and simulated annealing.
Overview of agents and robotic.
Course Outline
Week
1
2
3
4
5
6
7
8
9
10
11
12
Class 1 (Text Sec.)
Course description
1- Introduction: definitions
Overview of AI application
examples
2- Knowledge Representation
- Introduction
- Inheritance
3- Propositional calculus
& Predicate calculus
- Examples
4- Searching Techniques
- Ideas in
searching
- Searching tree
representation
- Heuristic
Search
- Greedy-Best
Search
- A* Algorithm
First exam
5- Expert System
- introduction
- Architecture of an
Expert System
6- Natural Language
Processing
- Stages of Language
Analysis
- Syntactic Analysis
- Multilayer
networks
- Examples
- Genetic algorithm
Second Exam
Class 2 (Text Sec.)
-
Features of AI technology.
Artificial Intelligence vs Natural Intelligence
Semantic Network
- Introduction
- Relationship in Semantic Networks
- Clauses to Predicate Calculus
- Inference Rules
-
Blind Search Techniques.
Breadth first Search
Depth first Search
Revision
Return and Discussion of the First Exam Results
- Modules of an Expert System
- People Involved in the Development of an
Expert System
7- Neural networks: definitions
- What is NN?
- Single layer linear networks
8- Algorithms:
- Simulated annealing
Revision
Return and Discussion of the Second Exam Results
1
)
Al-Isra Private University
Faculty of Information Technology
Department of CS
Course Plan
___________________________________________________________________________________
9- Agents & Robotics
- Robotics
13
- Types of Agent
- Basic Components of a Robot System
- Agents: Applications
2
All lectures Revision
14
15
Final Exam
16
Textbook
 Artificial Intelligence by G. F. Luger., 6th E., Addison Wesley, 2009.
Suggested references
1. Artificial Intelligence by E. Rich, Mcgraw Hill ,1991.
2. Artificial Intelligence, A modern Approach, Russel Norvig, 2nd Edd, Prentice Hall, 2003.
3. Computational Intelligence: a logical approach, D Poole, A Mackworth and R. Goebel, Oxford Univ. Press, 1998.
4. Artificial Intelligence , by N.J. Nilsson, Morgan Koufmann,1998.Computer Organization, C. Hamcher, Z. Vranesic
and S. Zaky, McGral Hill, 2002
Marking:
First Mark
Second Mark
Projects
Activity
Final Exam
20 marks
20 marks
10 marks
10 marks
40 marks
Regulations
1.
2.
3.
4.
5.
There will be tow term exams given during this semester. NO makeup exam..
There will NOT be any makeup for quizzes
Attendance is mandatory and University regulations will be enforced.
All Cheating incidents will be reported to the chair. The following activities are considered cheating:
a. Turning in assignment that includes parts of someone else's work.
b. Turning in someone else’s assignment as your own.
c. Giving assignment to someone else to turn in as their own.
d. Copying answers in a test or quiz.
e. Taking a test or quiz for someone else.
f. Having someone else take a test or quiz for you.
See Student handbook for other regulations.
Assignments and/or Projects:The activity marks will given according to the following
Assignments
/ Projects
H.W.1
H.W.2
Quizzes
Description
Due Date
During semester
During semester
Two or more quizzes to be made during the course
Instructors' information
Instructor's Name: Dr. Hassan Al-Tarawneh
Office Hours: Sunday, Tuesday and Thursday (01:00 – 03:00 pm).
Monday & Wednesday (02:00 – 04:00 pm).
Office No :- 4128
Marking
2 MARK
2 MARK
6 MARK