HWRS428
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HWRS428 - Fundamentals: Systems Approach to Hydrologic Modeling
Course ID
040713
Course Description
This course is designed primarily for senior undergraduate (428 level) and graduate students (528 level), but anyone with an interest in how conceptual and computational models are used to support understanding, learning, prediction and decision making will find it beneficial.
The overall goal is to familiarize students with the language, methods and tools of systems analysis and computer-based modeling, and their application to the science, risk assessment, management, and planning aspects of hydrology & water resources.
Specifically, students will gain an understanding of, and experience with, the process of constructing conceptual and computer-based models of dynamical (time-varying) physical systems of the natural and/or engineered environment, and of the purposes to which such models can be applied.
Even if a student has no ultimate interest in becoming an accomplished computer programming and/or skilled in construction of environmental systems models, the understanding gained in this course will better prepare the student to assess and use the information generated by such models, and to use such information in a decision-making context.
The overall goal is to familiarize students with the language, methods and tools of systems analysis and computer-based modeling, and their application to the science, risk assessment, management, and planning aspects of hydrology & water resources.
Specifically, students will gain an understanding of, and experience with, the process of constructing conceptual and computer-based models of dynamical (time-varying) physical systems of the natural and/or engineered environment, and of the purposes to which such models can be applied.
Even if a student has no ultimate interest in becoming an accomplished computer programming and/or skilled in construction of environmental systems models, the understanding gained in this course will better prepare the student to assess and use the information generated by such models, and to use such information in a decision-making context.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Undergraduate
Course Requisites
MATH 129 or 254, SIE 305, ECE 175 or equivalent.
May be convened with
HWRS528
Component
Lecture
Optional Component
No