ENVIRONMENTAL ENGINEERING: PHYSICAL/CHEMICAL TREATMENT PROCESS

Prerequisites & course information

Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Describe the fundamental physical and chemical mechanisms that drive the performance of phase transfer processes, chemical transformation processes, and physical separation processes Audience: Graduate 2. Describe the influence of physical and chemical mechanisms on performance of the above processes Audience: Graduate 3. Describe the fundamental hydraulic mechanisms of batch and flow-through reactors and the influence of these mechanisms on performance of the above processes Audience: Graduate 4. Draw process flow diagrams and use them in deriving mathematical models that predict reactor performance Audience: Graduate 5. List assumptions used in the derivation of mathematical models and list the limitations of the resulting models Audience: Graduate 6. Conduct experiments and interpret results using derived mathematical models combined with statistical analysis methods such as nonlinear regression Audience: Graduate 7. Describe limitations in experimental design and their effect on interpretation of data Audience: Graduate Learning Outcomes: 1. Describe the fundamental physical and chemical mechanisms that drive the performance of phase transfer processes, chemical transformation processes, and physical separation processes Audience: Graduate 2. Describe the influence of physical and chemical mechanisms on performance of the above processes Audience: Graduate 3. Describe the fundamental hydraulic mechanisms of batch and flow-through reactors and the influence of these mechanisms on performance of the above processes Audience: Graduate 4. Draw process flow diagrams and use them in deriving mathematical models that predict reactor performance Audience: Graduate 5. List assumptions used in the derivation of mathematical models and list the limitations of the resulting models Audience: Graduate 6. Conduct experiments and interpret results using derived mathematical models combined with statistical analysis methods such as nonlinear regression Audience: Graduate 7. Describe limitations in experimental design and their effect on interpretation of data Audience: Graduate