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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ISY 605QUALITY ASSURANCE SYSTEMS3 + 01st Semester10

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective Angles events One of these methods have been developed more flexible and high performance genetic algorithm, which is difficult with this method of solving the problems of convenience, to a different approach under uncertainty: a scientific approach to alternative ideas to demonstrate concepts such as genetic algorithm
Course Content Introduction to genetic algorithms, stochastic search methods, heuristic approaches, the traditional optimization techniques, objective of the optimization; an optimization methods as genetic algorithms, difference from other optimization techniques, multi-purpose optimization, weighted sum approach, fixed weight random weight approach and the simple genetic algorithm, theoretical basis of genetic algorithms, fuzzy multi-purpose genetic algorithms, basic theorems, the application area of genetic algorithms .
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1learns the concept of statistical Quality
2Total quality management understands the workings
3View comments regarding quality assurance systems
4businesses recognize the concepts of competitive
5Makes the organization of data on quality standards

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07
LO 0014425  4
LO 0025425  4
LO 0034425  5
LO 0044415  5
LO 0055415  5
Sub Total2220825  23
Contribution4425005

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14570
Assignments6848
Mid-terms12525
Final examination13030
Presentation / Seminar Preparation31545
Total Work Load

ECTS Credit of the Course






260

10
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Fall1İRFAN ERTUĞRUL


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
ISY 605 QUALITY ASSURANCE SYSTEMS 3 + 0 1 Turkish 2020-2021 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. İRFAN ERTUĞRUL iertugrul@pau.edu.tr İİBF A0135 %70
Goals Angles events One of these methods have been developed more flexible and high performance genetic algorithm, which is difficult with this method of solving the problems of convenience, to a different approach under uncertainty: a scientific approach to alternative ideas to demonstrate concepts such as genetic algorithm
Content Introduction to genetic algorithms, stochastic search methods, heuristic approaches, the traditional optimization techniques, objective of the optimization; an optimization methods as genetic algorithms, difference from other optimization techniques, multi-purpose optimization, weighted sum approach, fixed weight random weight approach and the simple genetic algorithm, theoretical basis of genetic algorithms, fuzzy multi-purpose genetic algorithms, basic theorems, the application area of genetic algorithms .
Topics
WeeksTopics
1 Quality
2 Quality Control
3 The control of quality circles
4 statistical quality control
5 statistical quality control
6 statistical quality control
7 statistical quality control
8 Process control
9 quality control schemes
10 quality control schemes
11 Examples of quality control applied
12 Examples of quality control applied
13 Examples of quality control applied
14 Examples of quality control applied
Materials
Materials are not specified.
Resources
ResourcesResources Language
Toplam Kalite KontrolTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes