Kecerdasan Buatan ( MTI210306 )

CODE / SUBJECTS : MTI 02 3001 Artificial Intelligence

CREDITS : 3 ( Three ) credits



DESCRIPTION :

This course equips students to learn concepts , principles and implementation in the field of artificial

intelligence.


THE COMPETENCE WANT TO ACHIEVED :

After passing this course, students are expected to :

Know and understand the concept , principle, methods and implementation , and has a professional

attitude through mastery of artificial intelligence .


HIGHLIGHTS:

1 . Introduction

2 . Representation and Knowledge Problems

3 . Concepts and Methods Tracking ( DFS , a Breadth FS , BFS , Hill Climbing , A * , Minimax )

4 . Concepts and Methods Genetic Algorithm

5 . Concepts and Methods for Planning ( Goal Stack Planning)

6 . Concepts and Methods of Reasoning ( Fuzzy Logic )

7.  Concepts and Methods of Artificial Neural Network

•      program excel perseptron
•      Multilayer Network
•      Backpropagation Neural Network

8. Presentation and Discussion of Major Duties

9. Practice : Knowledge Base

10. Practice : Genetic Algorithm

11. Practice : Fuzzy Logic

12. Practice : Artificial Neuro Network

• Membuat Program JST menggunakan Scilab
• Membuat Program JSTmenirukan fungsi logika

Ujian Akhir Semester 

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REFERENCE :

1 ) Russell and Norvig , Artificial Intelligence : A Modern Approach , Prentice Hall , 1995.

2 ) Zbignew M. , Genetic Alg + Data Structure = Evolution Programs , springler - Verlag .

3 ) Frank Puppe . " Systematic Introduction to Expert Systems " , Springer - Verlag , 1994

4 ) Stuart Russell & Peter Norvig J , Artificial Intelligence ; A Modern Approach , Prentice - Hall

International , Inc. , Textbook

5 ) Elaine Rich , Artificial Intelligence , McGraw - Hill , Textbooks