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| Course Description |
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| Course Name |
: |
Reliability Theory |
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| Course Code |
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ISB-564 |
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| Course Type |
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Optional |
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| Level of Course |
: |
Second Cycle |
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| Year of Study |
: |
1 |
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| Course Semester |
: |
Spring (16 Weeks) |
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| ECTS |
: |
6 |
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| Name of Lecturer(s) |
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Assoc.Prof.Dr. GÜZİN YÜKSEL
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| Learning Outcomes of the Course |
: |
Know the basic concepts of reliability.
Learn the basic reliability models
Make the estimation of reliability for different systems.
Know the probability plotting techniques
Calculate the ratio of the hazard.
Solve problems related to reliability
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| Mode of Delivery |
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Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
None |
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| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
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The aim of this course is to introduce reliability concept to graduate students.
Reliability estimation for different systems and reliability models will be taught in this course. |
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| Course Contents |
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Basic concepts of reliability theory, The Failure Distribution, Constant Failure Rate Model, Time-Dependent Failure Models, Reliability of Systems, Physical Reliability Models, Design for Reliability, Maintainability, Design for Maintainability, Reliability Testing
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| Language of Instruction |
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Turkish |
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| Work Place |
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Department Seminar Room |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
Basic concepts of reliability theory |
Reading source books |
Face to face description method |
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2 |
The Failure Distribution |
Reading source books |
Face to face description method |
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3 |
Constant Failure Rate Model |
Reading source books |
Face to face description method,solving problem on board |
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4 |
Constant Failure Rate Model |
Reading source books |
Face to face description method,solving problem on board |
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5 |
Time-Dependent Failure Models |
Reading source books |
Face to face description method,solving problem on board |
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6 |
Time-Dependent Failure Models |
Reading source books |
Face to face description method,solving problem on board |
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7 |
Applications |
Reading source books |
Face to face description method,solving problem on board |
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8 |
Mid-term exam |
Review the topics discussed in the lecture notes |
Written exam |
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9 |
Reliability of Systems |
Reading source books |
Face to face description method,solving problem on board |
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10 |
Reliability of Systems |
Reading source books |
Face to face description method,solving problem on board |
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11 |
Physical Reliability Models |
Reading source books |
Face to face description method,solving problem on board |
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12 |
Design for Reliability |
Reading source books |
Face to face description method,solving problem on board |
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13 |
Maintainability |
Reading source books |
Face to face description method,solving problem on board |
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14 |
Design for Maintainability |
Reading source books |
Face to face description method,solving problem on board |
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15 |
Reliability Testing |
Reading source books |
Face to face description method,solving problem on board |
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16/17 |
Final Exam |
Review the topics discussed in the lecture notes |
Written exam |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 An introduction to Reliability and Maintainability Engineering, Charles E. Ebeling McGRAW-Hill Comp, 1997.
Miller and Freund´s Probability and Statistics for Engineers, R. Johnson, Pearson Prentice Hall, 2005.
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| Required Course Material(s) | |
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
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Mid-term Exams (Written, Oral, etc.) |
1 |
60 |
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Homeworks/Projects/Others |
5 |
40 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
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Final Assessments
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100 |
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Rate of Final Assessments to Success
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60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
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1 |
Possess advanced level of theoretical and applicable knowledge in the field of Probability and Statistics. |
4 |
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2 |
Conduct scientific research on Mathematics, Probability and Statistics. |
4 |
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3 |
Possess information, skills and competencies necessary to pursue a PhD degree in the field of Statistics. |
5 |
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4 |
Possess comprehensive information on the analysis and modeling methods used in Statistics. |
4 |
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5 |
Present the methods used in analysis and modeling in the field of Statistics. |
4 |
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6 |
Discuss the problems in the field of Statistics. |
3 |
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7 |
Implement innovative methods for resolving problems in the field of Statistics. |
3 |
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8 |
Develop analytical modeling and experimental research designs to implement solutions. |
3 |
|
9 |
Gather data in order to complete a research. |
4 |
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10 |
Develop approaches for solving complex problems by taking responsibility. |
5 |
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11 |
Take responsibility with self-confidence. |
4 |
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12 |
Have the awareness of new and emerging applications in the profession |
4 |
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13 |
Present the results of their studies at national and international environments clearly in oral or written form. |
4 |
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14 |
Oversee the scientific and ethical values during data collection, analysis, interpretation and announcment of the findings. |
3 |
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15 |
Update his/her knowledge and skills in statistics and related fields continously |
4 |
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16 |
Communicate effectively in oral and written form both in Turkish and English. |
3 |
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17 |
Use hardware and software required for statistical applications. |
4 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
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Class Time (Exam weeks are excluded) |
14 |
3 |
42 |
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Out of Class Study (Preliminary Work, Practice) |
14 |
3 |
42 |
| Assesment Related Works |
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Homeworks, Projects, Others |
5 |
6 |
30 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
10 |
10 |
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Final Exam |
1 |
15 |
15 |
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Total Workload: | 139 |
| Total Workload / 25 (h): | 5.56 |
| ECTS Credit: | 6 |
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