Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 1 / Spring Semester | ||||
| Level of Course | 2nd Cycle Degree Programme | ||||
| Type of Course | Optional | ||||
| Department | GEOLOGY ENGINEERING | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | ÖMER BİLHAN (omerbilhan@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| Document soft-computing methods in the analysis of multivariate and multi-parameter digital structures that should be interpreted with analytical models. This will cover artificial neural networks, fuzzy sets and fuzzy logic (fuzzy), genetic algorithms. Techniques or approaches that are not related to flexible calculations have been used to solve real problems. Artificial intelligence techniques used in hydraulic science in recent years will be evaluated. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | To have knowledge of computer software about ArcView |
PO-1 An ability to apply knowledge of basic engineering sciences and earth sciences for the solution of geological engineering problems. PO-2 An ability to identify, formulate, and solve geological engineering problems and knowledge of contemporary issues. PO-3 An ability to design field experiments, as well as analyze and interpret data for a predifined engineering purpose. PO-4 An ability to obtain to determine, identify, formulate and solve complex engineering problems and with this purpose in mind, to be able to choose proper methods of analysis and modeling. PO-5 An ability to acquire to design and use modern tools and products which are developed for earth sciences and engineering practices in a way that meets certain needs. PO-6 An ability to design and carry out experiments, collect data, analyze results and interpret them in order to investigate problems of geological engineering. |
Examination Presentation Practice Exam |
| LO-2 | Data collection, computer data entry, specialize in the evaluation and interpretation of existing data |
PO-1 An ability to apply knowledge of basic engineering sciences and earth sciences for the solution of geological engineering problems. PO-2 An ability to identify, formulate, and solve geological engineering problems and knowledge of contemporary issues. PO-3 An ability to design field experiments, as well as analyze and interpret data for a predifined engineering purpose. PO-4 An ability to obtain to determine, identify, formulate and solve complex engineering problems and with this purpose in mind, to be able to choose proper methods of analysis and modeling. PO-5 An ability to acquire to design and use modern tools and products which are developed for earth sciences and engineering practices in a way that meets certain needs. PO-6 An ability to design and carry out experiments, collect data, analyze results and interpret them in order to investigate problems of geological engineering. |
Examination Presentation Practice Exam |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| Adelina, Perceptron, Madaline and BP (Fuzzy Logic Models), Fuzzy Logic Models, Adaptive Fuzzy Logic Control Systems, Artificial Neural Networks, Advisory / Unsupervised Learning, Introduction to Flexible Computation Methods, Matlab-Simulink Tools, Fuzzy Logic Clusters and Membership Functions, Mamdani and sugeno FIS Back Propagation) neural networks, NeuroFuzzy modeling (ANFIS) | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Introduction to Soft Computing | Description Method |
| 2 | Simulation tools | Description Method |
| 3 | Simulation tools | Description Method |
| 4 | Classical and Fuzzy Set Concept | Description Method |
| 5 | Verbal Variables and IF-THEN Rules | Description Method |
| 6 | Fuzzy logic clusters and membership functions | Description Method |
| 7 | Creation of fuzzy logic models | Description Method |
| 8 | mid-term exam | |
| 9 | Creation of fuzzy logic models | Description Method |
| 10 | Obtaining results from fuzzy logic | Description Method |
| 11 | Obtaining results from fuzzy logic | Description Method |
| 12 | Artificial neural networks (ANN) | Description Method |
| 13 | ANN Counselor / counselorless learning | Description Method |
| 14 | Adaline, Perceptron, Madaline | Description Method |
| 15 | Methods of calculating artificial intelligence in hydraulic science | Description Method |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Andrea Tettamanzi, Soft Computing: Integrating Evolutionary, Neural, and Fuzzy Systems, Springer, 2010. | |
| Required Course instruments and materials | ||
| Course Documents | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 8 | 1 | 40 |
| Other assessment methods | |||
| 1.Oral Examination | |||
| 2.Quiz | |||
| 3.Laboratory exam | |||
| 4.Presentation | |||
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | |||
| 8.Term Paper | |||
| 9.Project | |||
| final exam | 16 | 1 | 60 |
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
| Outside Class | |||
| a) Reading | 1 | 10 | 10 |
| b) Search in internet/Library | 2 | 14 | 28 |
| c) Performance Project | 0 | ||
| d) Prepare a workshop/Presentation/Report | 0 | ||
| e) Term paper/Project | 0 | ||
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 7 | 7 | 49 |
| mid-term exam | 1 | 1 | 1 |
| Own study for final exam | 7 | 7 | 49 |
| final exam | 1 | 1 | 1 |
| 0 | |||
| 0 | |||
| Total work load; | 180 | ||