CE7015 SOFT COMPUTING METHODS FOR WATER RESOURCES MANAGEMENT
| Course Code: | 5627015 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 8.0 |
| Department: | Civil Engineering |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | Prof.Dr. ELÇİN KENTEL ERDOĞAN |
| Offered Semester: | Fall and Spring Semesters. |
Course Objectives
By the end of this course the students will learn what type of engineering problems require soft computing techniques for solution. They will be able to formulate water resources engineering related problems for simulation and optimization. The students will learn basics of fuzzy inference systems, artificial neural networks and genetic algorithms. They will be able to interpret the outcomes of these solution approaches.
Course Content
Water resources planning and management under uncertainty, need for soft computing techniques, soft computing techniques such as artificial neural networks (ANN), fuzzy inference systems (FIS), genetic algorithms (GA), application of these techniques to water resources engineering problems such as river flow estimation, reservoir operation, etc.
Course Learning Outcomes
By the end of this course the students will be able to i) differentiate simulation and optimization problems, ii) decide if it is appropriate to model a specific water resources engineering problem using soft computing methods, iii) develop a fuzzy inference system or artificial neural network model for a simulation problem and calcuate the outputs of these models, v) develop mathematical formulation of an optimization problem and solve it using genetic algorithms.