Artificial Intelligence

  • Computer Engineering |

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

Data will be available soon!

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.

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