Civil Engineering (English) | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | ENG302 | ||||||||
Course Name: | Fuzzy Logic and Its Applications | ||||||||
Course Semester: | Fall | ||||||||
Course Credits: |
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Language of instruction: | EN | ||||||||
Course Requisites: | |||||||||
Does the Course Require Work Experience?: | No | ||||||||
Type of course: | Compulsory | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Dr.Öğr.Üyesi PELİN ALCAN GEZGİNCİ | ||||||||
Course Lecturer(s): |
Dr.Öğr.Üyesi PELİN ALCAN GEZGİNCİ |
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Course Assistants: |
Course Objectives: | The main aim of this course is to teach the definition, basic concepts and mathematical applications of fuzzy logic. |
Course Content: | This course includes: 1- multi-valued logic, fuzzy logic, comparison of classical logic and fuzzy logic, 2- The concept of membership, fuzzy sets, membership function types, 3- Fuzzy propositions, fuzzy models, 4- Fuzzy values of models, fuzzy quantities, fuzzy conditional and limited propositions, inferences, 5- Fuzzy level clusters 6- Fuzzy set operations, fuzzy numbers 7- Fuzzy number operations, 8- Fuzzy set graphs, 9- fuzzy equations, rule-based inference, 10- turbidity, inference mechanisms, 11- Rinse, Mammadani and Sugeno fuzzy system models, 12- Fuzzy relations, fuzzy functions and their basic properties, 13- Applications |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Multi-valued logic, fuzzy logic, comparison of classical logic and fuzzy logic, | yok |
2) | The concept of membership, fuzzy sets, membership function types. | yok |
3) | Fuzzy propositions and fuzzy models. | yok |
4) | Fuzzy values of models, fuzzy quantities, fuzzy conditional and limited propositions, inferences. | yok |
5) | Fuzzy set operations and fuzzy numbers. | yok |
6) | Fuzzy set operations and fuzzy numbers. | yok |
7) | Fuzzy number operations. | yok |
8) | Fuzzy set graphs. | yok |
9) | Midterm | yok |
10) | Fuzzification and inference mechanisms. | yok |
11) | Defuzzification and Mamdani Sugeno fuzzy system models. | yok |
12) | Fuzzy relations, fuzzy functions and their basic properties. | yok |
13) | Applications. | yok |
14) | Applications. | yok |
15) | Final Exam. | yok |
Course Notes / Textbooks: | 1- Introduction to fuzzy logic, Franck Dernoncourt, MIT, January 2013 2- Fuzzy logic with engineering applications, third edition, Timothy J. Ross, 2010 John Wiley & Sons, Ltd. ISBN: 978-0-470-74376-8 |
References: | 1- Introduction to fuzzy logic, Franck Dernoncourt, MIT, January 2013 2- Fuzzy logic with engineering applications, third edition, Timothy J. Ross, 2010 John Wiley & Sons, Ltd. ISBN: 978-0-470-74376-8 |
Learning Outcomes | 1 |
2 |
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Program Outcomes | ||||||||||
1) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems. | ||||||||||
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose. | ||||||||||
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.) | ||||||||||
4) Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. | ||||||||||
5) Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | ||||||||||
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | ||||||||||
7) Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | ||||||||||
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | ||||||||||
9) Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices. | ||||||||||
10) Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | ||||||||||
11) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions. |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems. | |
2) | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose. | |
3) | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.) | |
4) | Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. | |
5) | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | |
6) | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | |
7) | Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | |
8) | Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | |
9) | Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices. | |
10) | Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | |
11) | Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions. |
Expression | |
Lesson | |
Homework |
Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing) | |
Homework |
Semester Requirements | Number of Activities | Level of Contribution |
Quizzes | 2 | % 20 |
Homework Assignments | 5 | % 10 |
Midterms | 1 | % 30 |
Final | 1 | % 40 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 60 | |
PERCENTAGE OF FINAL WORK | % 40 | |
total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Application | 6 | 6 | 36 |
Study Hours Out of Class | 5 | 10 | 50 |
Homework Assignments | 6 | 6 | 36 |
Midterms | 1 | 2 | 2 |
Final | 1 | 2 | 2 |
Total Workload | 168 |