CH E 312 - Fluid Mechanics

3 units (fi 8)(EITH/SP/SU, 3-1S-0)

Newtonian and non-Newtonian fluid behavior; hydrostatics; buoyancy, application of Bernoulli and momentum equations; frictional losses through pipes, ducts, and fittings; pipe networks; pumps; drag on submerged bodies and flow through porous media. Prerequisites: CH E 243 EN PH 131 and MATH 209. Corequisite: MATH 201.

CH E 316 - Separation Process

3 units (fi 8)(EITH/SP/SU, 3-0-2)

Design of separation processes with emphasis on the equilibrium stage concept, distillation, absorption and extraction. Design of rate based separations, membranes, membrane cascades, adsorption. Introduction to the use of process simulators for designing the separation processes. Prerequisites: CH E 343, 314. Corequisite: CH E 318.

CH E 445 - Chemical Reactor Analysis II

3 units (fi 8)(EITHER, 3-1S-0)

Analysis and design of non-ideal chemical reactors for industrial product synthesis. Prerequisites: CH E 314, 318 and 345.

CH E 316A - Separation Process

1.5 units (fi 8)(EITH/SP/SU, 3-0-2)

Design of separation processes with emphasis on the equilibrium stage concept, distillation, absorption and extraction. Design of rate based separations, membranes, membrane cascades, adsorption. Introduction to the use of process simulators for designing the separation processes. Prerequisites: CH E 343, 314. Corequisite: CH E 318.

CH E 358A - Process Data Analytics and Machine Learning

1.5 units (fi 8)(EITH/SP/SU, 3-0-4)

Statistical analysis of process data from chemical process plants and course laboratory experiments. Topics covered include linear and nonlinear regression, dimensionality reduction, classification, deep learning, and design of experiments. Prerequisites: CH E 351 and STAT 235. Corequisites: CH E 314 and CH E 345.

CH E 316B - Separation Process

1.5 units (fi 8)(EITH/SP/SU, 3-0-2)

Design of separation processes with emphasis on the equilibrium stage concept, distillation, absorption and extraction. Design of rate based separations, membranes, membrane cascades, adsorption. Introduction to the use of process simulators for designing the separation processes. Prerequisites: CH E 343, 314. Corequisite: CH E 318.

CH E 358B - Process Data Analytics and Machine Learning

1.5 units (fi 8)(EITH/SP/SU, 3-0-4)

Statistical analysis of process data from chemical process plants and course laboratory experiments. Topics covered include linear and nonlinear regression, dimensionality reduction, classification, deep learning, and design of experiments. Prerequisites: CH E 351 and STAT 235. Corequisites: CH E 314 and CH E 345.