Faculty of Computers and Information

Model (No 12)

Course Specification : Artificial Intelligence

2008 - 2009

 
Farabi Quality Management of Education and Learning - 21/11/2024
University :Mansoura University
Faculty :Faculty of Computers and Information
Department :Computer Science
1- Course data :-
Code: عح372
Course title: Artificial Intelligence
Year/Level: ثالثة علوم الحاسب
Program Title:
  • All Academic programmes
Specialization:
Teaching Hours: Theoretical: 3Tutorial: Practical: 3
2- Course aims :-
  1. Cover the basic ideas of Artificial Intelligence, AI terminology, concepts, and goals.
  2. Formulate and assess problems in artificial intelligence.
  3. Assess the strengths and weaknesses of several methods for representing knowledge.
  4. Assess the strengths and weaknesses of several AI algorithms in areas such as bland search, heuristic search, game search, logical inference, statistical inference, decision theory, planning, machine learning, neural networks, and natural language processing.
  5. Understand, identify, and evaluate AI techniques.
  6. Implement software solutions to a wide-variety of problems generally considered to require artificial intelligence.
  7. Examine knowledge representation, constraint exploitation, symbolic reasoning, and explanation generation.
  8. Study programming techniques used for finding alternatives, planning sequences of operations, and playing games.
  9. Understand the role of artificial intelligence (AI) in the greater context of computer science.
  10. Write programs in an AI-based language, specially PROLOG.
  11. Identify and apply AI methods to real-world applications.
3- Course Learning Outcomes :-
4- Course contents :-
NoTopicsWeek
1Knowledge Representation
2Reasoning
3Planning
4Uncertainly
5Introduction
6Search Problems
7Blind Search Strategies
8Heuristic Search Strategies
9Constraint Satisfaction

5- Teaching and learning methods :-
SMethod
Computer + Data Show + power point slides
Blackboard
Free Discussion
Different Software

6- Teaching and learning methods of disables :-
    No data found.

7- Student assessment :-
A. Timing
NoMethodWeek
1Mid-Term exam, Reports and Homework 14
2Oral and Project 15
B. Degree
NoMethodDegree
1Mid_term examination5
2Final_term examination75
3Oral examination 5
4Practical examination 10
5Semester work
6Other types of asessment5
Total100%

8- List of books and references
SItemType
1S. Russel and P. Norvig. Artificial Intelligence: A Modern Approach, 2nd Ed, 2003.
2E. Rich and K. Knight. Artificial Intelligence, 2nd Ed, 1991.
3Different Web Sites
4Different Periodicals
5Some power point slits.

9- Matrix of knowledge and skills of the course
SContentStudy week
Knowledge Representation
Reasoning
Planning
Uncertainly
Introduction
Search Problems
Blind Search Strategies
Heuristic Search Strategies
Constraint Satisfaction

Course Coordinator(s): -
  1. Tarek Tawfek Ahmed Hamza
Head of department: -