Artificial Intelligence

  • Computer Engineering |
  • English

Description

Data will be available soon!

Program

Bachelor Degree in Computer Engineering

Objectives

  • The aim of the course is to give a broad overview of AI techniques, so that when students go into industry or research, they will be able to choose the correct AI techniques for the problems which arise.

Textbook

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Course Content

content serial Description
1Week Number 1 : Introduction to AI : Definition - History – Goals.
2Week Number 2 : AI as Representation and Search. State Space. Search Strategy.
3Week Number 3 : Blind search techniques.
4Week Number 4 : Informed (Heuristic) search techniques : Hill Climbing – Best First.
5Week Number 5 : A* Algorithm.
6Week Number 6 : Admissibility – Monotonicity – Informedness of a heuristic .
7Week Number 7 : 7th Week Exam +Revision.
8Week Number 8 : Game trees.
9Week Number 9 : Alpha Beta Pruning Algorithm.
10Week Number 10 : Knowledge Representation.
11Week Number 11 : Expert systems & knowledge-based systems.
12Week Number 12 : 12th Week Exam + Revision.
13Week Number 13 : Propositional Logic : Syntax – Semantic – Proof by resolution refutation.
14Week Number 14 : First Order Logic : Syntax – Semantic.
15Week Number 15 : First Order Logic : Resolution - Soundness – Completeness.
16Week Number 16 : Presentation of projects and Final Exam.

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.
Courses
  • Degree Bachelor
  • Code: CC511
  • Credit hrs: 3
  • Prequisites: CC218 & CC319
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