Intelligent Systems

bigskymanΤεχνίτη Νοημοσύνη και Ρομποτική

24 Οκτ 2013 (πριν από 3 χρόνια και 11 μήνες)

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Intelligent Systems


Objective:

This course is designed to equip students
to design Intelligent systems in the area of
engineering systems.

Credit:

2

Lecture Hours:

15


---
Contents
--

1.Introduction: (3Hours)


Artificial Intelligence, Problem Solver, Exper
t System,
Knowledge Acquisition.

2.Agent system: (3Hours)

Agent model, Agent design, Agent communication, Agent
application

3.Concept Learning: (3Hours)

Fundamentals of Concept Learning, Version space, Decision Tree

4.Neural Networks: (3Hours)

McCulloch&Pi
tts model, Perceptron, Error Back Propagation,
Hopfield Net

5.Genetic Algorithms & Artificial Life: (3Hours)

Evolutionary Computation, Design of GA, Application of GA,
A
-
Life Model

---------

References:

E.Rich

: Artificial Intelligence, McGrow
-
Hill,1983

S
.J. Russell & P.Norvig: Artificial Intelligence
-

A modan Appoach
-
, Prentice Hall,1955

J.R.Quinlan, C4.5 Programs for Machine Learning, Morgan Kaufmann,1993

P.D.WASSERMAN, Neural Computing, Van orstrand Reinhold,1989

D.E.Goldberg, Genetic Algorithm in searc
h, Optimization and Machine Learning. AddisonWesley,
1989

C.G.Langton: Artificial Life, Addison Wesley,1989


System Architecture


Objective:

The lecture includes the digital hardware
design methodology for large digital systems such as
microprocessors and

digital signal processors.
Hardware description language such as VHDL might be
also covered in the lecture if the attendees are
interested in such real computer aided design tools
.

Credit:

2

Lecture Hours:

15


---
Contents
--

1.

Digital Circuit Design Basic
s
: (3Hours)

Basic digital circuit elements such as,
combinational

Logic,
sequential logics, Flip
-
Flops, and Gates
.

2.

VHDL
: (
6
Hours)

Hardware

description language,
digital circuit synthesis,
Simulation.

3.

Microprocessor Basics
: (3Hours)

Simple RISC proces
sor
organization

and design, assembler
programming, operation model.

4.

Final Project
: (3Hours)

Microprocessor design or signal processing digital circuit
design by VHDL.

Design target changes every year.


---------

References:



Douglas J. Smith: HDL CHIP D
ESIGN, Doone Publications, 1996



Douglas L. Perry: VHDL 3
rd

ed., McGraw
-
Hill, 1998



David A. Patterson, John L. Hennessy: Computer organization & Design

The hardware /
software interface
-
, Morgan Kaufmann Publisher, 1994

Iterdisciplinary Intelligent Systems

Engineering Course (Doctor Course):

Electronics and Informat
ion Engineering




Advanced Acoustic Signal Processing:



Acoustic theory of speech production,

Time
-
domain models for speech processing,

Waveform coding of speech signal,

LPC and parametric cod
ing,

Homomorphic speech processing,

Man
-
machine communication,

Special study on acoustic echo and noise canceling.


Information Engineering Course (Master Course
)
:

Computer Systems




Signal Processing Theory:




Studying of 2
-
D systems and mathematical
characteristics

of images,


Visual perception of human and stereo imaging,


2
-
D image transforms,


Image enhancement by histogram and filtering,


Image restoration,


I
mage compression,


E
dge de
tection algorithms