• Course Code :
  CSC 341
• Level :
  Undergraduate
• Course Hours :
  3.00 Hours
• Department :
  Department of Computer Science

Instructor information :

• Title:Lecturer
• Name: HEBA MOHSEN MOHAMED MOSAAD HUSSIEN
• Office hours:4-Hours


• Title:Assistant Lecturer
• Name: Hadeer Khalid Tawfik El Zayat
• Office hours:-Hours

Knowledge Representations: Predicate Calculus, Structured Representations, Network Representations. State Space Search: trees and graphs, heuristic search, model based reasoning, case-based reasoning, reasoning with uncertain or incomplete knowledge. Overview of AI languages, Overview of AI Application Areas.

Knowledge Representations: Predicate Calculus, Structured Representations, Network Representations. State Space Search: trees and graphs, heuristic search, model based reasoning, case-based reasoning, reasoning with uncertain or incomplete knowledge. Overview of AI languages, Overview of AI Application Areas

Course outcomes:

a. Knowledge and Understanding:
	1- Have some understanding of the basic concepts and techniques of AI 2- Have some understanding of the basic concepts of knowledge based systems 3- Have some understanding of some blind and heuristic search techniques 4- Have some understanding of issues in knowledge acquisition, and representation 5- Have some understanding of issues in monotonic and non-monotonic Logic 6- Have some understanding of Machine Learning and Neural Networks
b. Intellectual Skills:
	1- Appreciate the subtleties related to different approaches to AI 2- Appreciate the subtleties related to different AI techniques 3- Decide the suitability of AI techniques for a problem/domain 4- Analyze and design a KBS for a simple domain.
c. Professional and Practical Skills:
	1- Have some practice of knowledge acquisition 2- Represent knowledge of a domain in a suitable knowledge representation formalism 3- Write simple AI programs in PROLOG or C/C++. 4- Represent and implement AI solutions to a suitable AI problems 5- Implement a KBS for a simple domain
d. General and Transferable Skills:
	1- Deploy communication skills 2- Deploy research skills 3- Work effectively within a group to analyze, design and implement an Intelligent Systems 4- To work to tight deadlines 5- Effectively present the final work in a demo 6- Justify students design decisions in a written document

For further information :

• Telephone: 16383 (16FUE)
• E-mail: [email protected]