Advanced Artificial Intelligence

  • Computer Science |

Description

This course allows the introduction of material relating to Current advances in artificial intelligence topics, and technology. The course will focus on artificial neural networks, expert systems and machine learning, which are essential components of computational and statistical methods, and theoretical computer science. The course will also discuss recent applications of machine learning, such as data mining, face and speech recognition, and text and web data processing

Program

Computer Science - 144 CRs

Objectives

  • 1. Expert Systems
    2. Machine Learning: Classification, Ensemble Methods, Clustering, Decision Tree, and Association Rules.
    3. Intelligent Mobile Agents
    4. Natural Language Processing
    5. AI Applications: image and speech recognition, data mining, and web mining, and
    6. Implementing software applications, Design intelligent systems that can adapt to both uncertainties and changes in their environments.
    7. Understand AI as the design of agents.

Textbook

Russell S. and Norvig P., Artificial Intelligence: A modern Approach, Prentice-Hall, 3rd Edition

Course Content

content serial Description
1Introduction
2Genetic Algorithms.
3Genetic Algorithms Applications
4Partitioning Clustering Techniques Part I
5Hierarchical Clustering Techniques Part I
6Hierarchical Clustering Techniques Part II
77-th week exam
8Density Based Clustering
9Applications of Data Clustering
10K Nearest Neighbour Algorithm
11Recommendation Engines
1212-th week exam
13Decision Trees
14Applications of Decision Trees
15Revision
16Final 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.

Start your application

Start The your journey to your new career.