Com519

peaceshiveringAI and Robotics

Oct 24, 2013 (3 years and 5 months ago)

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COURSE
Descriptions

Year:
20
11
-
20
12

Semester: Fall

Course Code:
COM
519

Course Title:
Soft Computing

Instruction Language:
English

Name of Lecturer:
As.prof Imanov. E.

Type of Course:(Must Course, Elective Course) Must

Prerequisities:

Level of
Course: 2


Objective of the course:

The aim of the course is to get a necessary knowledge on principal
members of such kind of coalitions like Fuzzy Logic, neurocomputing, evolutionary computing,
probabilistic computing, chaotic computing and machine
learning. You will learn the basic principles
of the Soft Computing methodology which is distinguished from the methodology based on Hard
Computing Technology.



Student Learning Acquires
:

Course Contents: What is Soft Computing (SC)? Computational
Intelligence, Fuzzy mathematics.
Fuzzy optimization, Fuzzy relations, Probabilistic reasoning. Reasoning with uncertainty, Decision
Tree. Dempster


Shafer rule, Fuzzy decision making. Bayesian probability, Artificial Neural
Networks, Basic architectures
and types of ANN, Learning of ANN. Neural expert systems (NES),
Pattern recognition.Genetic algorithms (GA).Chaos theory. Emerging combined Soft Computing
technologies. Neuro


fuzzy. Neuro
-
genetıc. Neuro
-
genetıc
-
fuzzy technology.


Teaching Methods and T
echniques used at course
:(Presentation, Discussion, Description,
Assignment, Laboratory work etc.) Laboratory

work.


Assessment Methods:
Midterm exam. Quız. Final exam.



Proposed References:(Main Reference(s)
:
Soft Computing and
its Applications Rafik Aliev,
Rashad Aliev

New
-
York, London.2001



Recommended Reading:

Soft Computing and Intelligent Systems Design. Fak
hreddine O.
Karray and Clarence
De Silva 2004
.