CE535 WATER RESOURCES SYSTEM ENGINEERING I

Course Code:5620535
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. AYŞE BURCU ALTAN SAKARYA
Offered Semester:Fall or Spring Semesters.

Course Objectives

At the end of this course the students will learn the basic concepts of optimization and its application to hydrosystems


Course Content

Systems analysis concepts, terminology, phases. System approach to solving water resource problems. Nature and objective of and mathematical models for water resource systems. Review of optimization techniques. Linear programming: Classical optimization methods, separable programming. Search techniques. Computer applications, case studies. Simulation methods for design of water resource systems introduced. (R)


Course Learning Outcomes

Student, who passed the course satisfactorily will be able to:

  • learn and apply 1-D search techniques
  • formulate optimization problems
  • solve linear programming problems using graphical method, simplex algortihm and LINDO
  • study the applications of linear programming to hydrosystems
  • learn and study the applications of integer programming
  • apply branch and bound algorithm
  • study the basics of stochastic programming

Program Outcomes Matrix

Contribution
#Program OutcomesNoYes
1Conducts research to investigate and solve advanced civil engineering problems using appropriate scientific methods and acquires the fundamental knowledge to evaluate the results.
2Reviews and synthesizes relevant literature to identify the current state of the art.
3Engages in lifelong learning and professional development, and gains familiarity with emerging practices.
4Formulates and solves complex civil engineering problems by selecting and applying appropriate tools and techniques.
5Communicates effectively in written and oral forms, particularly in conveying research processes and outcomes to diverse audiences.
6Upholds professional and ethical responsibility in research, with an awareness of global, societal, environmental, and scientific contexts.