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Faculty: Faculty of Engineering
Division/Department
Department of Electrical And Electronic Engineering
Academic Year
2012/2013
Date:
06.08.2012
Code
EEM-418
Course language
Category
Prerequisite
Course Webpage
Local Credit
2
Instructor(s)
Assistant
Name of the course
Intelligent Methods
Turkish
Required
Not applicable
Semester/Year
7 /4
ECTS
2
Theoretical
2
Laboratory
-
Presentation
-
Practical
-
Project/Field study
-
Content of the
course
Week
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Course Plan
Theoretical Subjects
Practical subjects
An overview of the basic structure of intelligent
systems. Data mining.
Decision trees.
Neural computation, biological neural networks and
learning algorithms. Artificial Neural Networks
(ANN’s) application areas. Classification and
regression problems as learning tasks. Error
calculations.
Single Layer Sensors (SLSs). Sensors learning rule.
Incremental learning algorithm for the sensor, error
correction learning. Delta rule, incremental gradient
descent algorithm.
Sigmoid detectors. Gradient descent training of the
most Sigmoid sensor.
Multi-Layer Sensors (MLSs). Back propagation
learning algorithm.
Analog and collective learning. Problems at back
propagation learning. Momentum and learning rate
factor. Learning sample. Software (MATLAB, C + +,
etc.) using the ANN design.
Crisp and fuzzy sets. Basic cluster operations.
Mid term
Mid term
Fuzzy relation and combination. Fuzzy inference.
Fuzzy control and fuzzy expert systems.
Mathematical similarities between fuzzy systems and
ANNs.
Design of fuzzy systems using software.
Genetic Algorithms (GAs) basic structures.
A simple GA structure and application.
Text book(s)
Reference books
1.
Stuart Russell, Peter Norvig, Artificial Intelligence: A Modern
Approach, 2nd ed., Prentice Hall, 2002
Assessment
Number
Mid term
Pop-quiz
Homework
Projects
1
-
Contribution to GPA
(%)
40
-
Term project
Laboratory
Others
Final exam
1
60
Contribution of the
contents (%)
Medical Sciences
Engineering
General Sciences
Social sciences
100
-
Learning Outcomes
Sciences A foundation in mathematics and basic sciences as they relate to the study and practice of
computer science and engineering
2. Hardware An understanding of the electrical engineering fundamentals and computing hardware
3. Programming An ability to implement computing solutions in a modern programming language
4. Software An ability to propose and develop software solutions to real world computing problems
5. Tools An awareness of popular software tools together with an ability to use a meaningful subset
6. Project An ability to work in various stages of computing projects including design, development,
testing and maintenance
7. Teamwork An ability to work within heterogeneous teams
8. Self learning An ability to identify and acquire necessary skills for the solution of a new computing
problem
9. Communication An ability to effectively communicate in oral and written media
10. Ethics An awareness of the ethical and social implications of the computing profession
11. Social issues A taste and breadth of knowledge across several social topics outside the immediate
About assessment
criteria
Goals
Course Format
1
2
3
4
5
6
7
8
9
a) requirements of the computing profession
Gives the theoretical and practical background materials for analysing and design of intelligent
systems.
This course aims to give an introduction to the basic concepts and a familiarity with the application
areas of artificial intelligence. The course covers representation, search, heuristic programming and
logic programming in detail. Following an introduction of basic methods, the application areas of
artificial intelligence is visited. The goal in this part of the course is to provide students an ability to
realize problems that can be solved through methods of artificial intelligence.
Relation between the learning and program outcomes
Outputs
Having sufficient background in basic mathematics and sciences and
basic engineering; ability to use conceptual and practical knowledge
together in this area for engineering solutions.
Ability to identify, formulate, and solve electrical electronics
engineering problems,to
select
and
apply
appropriate
methods and techniques for this purpose.
Ability to design a system, component or process to meet the specific
needs and requirements, ability to apply modern methods in this direction
Ability to choose modern techniques and equipments that are necessary
for electrical electronics engineering applications, to have an ability to
use package programs effectively.
Ability to make an experiment, experiment design, analysis of
experiment results and to reach a solution by interpretation in the
subjects of electrical electronics engineering and basic engineering.
Ability to have access to information and make resource investigation
according to this aim, have an ability for using information resources
Ability to work effectively as an individual and in multi-disciplinary
teams, self-reliance in taking responsibility.
Ability to communicate and express himself effectively in
Turkish and English, ability to self- confidence and occupational
competence to defend their ideas in front of the community on a
given subject.
Awareness
of the
necessity
of lifelong learning,
ability
to
0
1
X
X
X
X
X
X
X
X
X
2
10
11
12
followdevelopments in science and technology and self-renewal ability
Professional and ethical awareness in engineering approaches.
X
Awareness about workplace practices, ability to produce engineering
X
solutions sensitive to human and nature.
Having knowledge about education and problems about the age for
understanding the effects of engineering solutions and applications on
X
universal and social dimensions
Contribution : 0:None 1:Partially 2:Completely
Prepared by:
Date of preparation: 06.08.2012