ENGRCEE 279 Hydologic Computational Modeling (2017-2018)

ENGRCEE 279 Hydologic Computational Modeling

(Not required for any major.)
Catalog Data:

ENGRCEE 279 Hydologic Computational Modeling (Credit Units: 4) Computational modeling of multi-dimensional flow and scalar transport problems in surface and ground water. Topics include mathematical model formulation, numerical method selection, serial and parallel implementation, model verification and validation. Prerequisite: CEE272, CEE277, and CEE278. Graduate students only. (Design units: 0)

Required Textbook:
Recommended Textbook:
  • Wendt, J.F. and J.D. Anderson, Computational Fluid Dynamics: An Introduction, Springer, 2009.
  • Batu, V., Applied Flow and Solute Transport Modeling in Aquifers: Fundamental Principles and Analytical and Numerical Methods, CRC, 2005.
  • Cunge, J.A., F.M. Holly, Jr., and A. Verwey, Practical Aspects of Computational River Hydraulics, Pitman Publishing, Inc., 1980
Brett F. Sanders and Russell L. Detwiler
Relationship to Student Outcomes
No student outcomes specified.
Course Learning Outcomes. Students will:
Prerequisites by Topic
  • Elementary Fluid Mechanics
  • Fluid Mechanics of Open Channels
  • Groundwater Hydrology
  • Introductory Numerical Methods
  • Hydrologic Transport Fundamentals
Lecture Topics:
  • Discretization Approaches for Differential Equations (Week 1) [HW1]
  • Accuracy and Stability (Week 2) [HW2]
  • Explicit and Implicit Schemes for Flow Equations (Week 3 and 4)
  • [Project 1: 1D Flow Modeling – Due Week 7]
  • Multi-dimensional flow and transport equations (Week 5)
  • Multi-dimensional numerical methods (Week 6-7)
  • [Project 2: 2D Flow and Transport Modeling – Due Week 10]
  • Unstructured Grids (Weeks 8-9) [HW4]
  • Introduction to Parallel Computing (Week 10)
Class Schedule:

Meets for 3 hours of lecture and 1 hour of discussion each week for 10 weeks.

Computer Usage:

Ability to use spreadsheets, program in Matlab, Fortran or C/C++, and graphically display data. Homework assignments will require mathematical modeling; projects will involve 1D and 2D computational modeling.

Laboratory Projects:
Professional Component
Design Content Description
Laboratory Portion:
Grading Criteria:
  • Midterm 30%
  • Homework 10%
  • Project 1 30%
  • Project 2 30%
  • Total: 100%
Estimated ABET Category Content:

Mathematics and Basic Science: 0.0 credit units

Computing: 0.0 credit units

Engineering Topics: 0.0 credit units

Engineering Science: 0.0 credit units

Engineering Design: 0.0 credit units

February 22, 2017
Senate Approved:
May 7, 2013
Approved Effective:
2013 Fall Qtr