Graduate Program
Term Schedule
Fall 2021
Number  Title  Instructor  Time 

CHE 4001
Hussein Aluie
MWF 11:50AM  12:40PM


This course covers the classical partial differential equations of mathematical physics: the heat equation, the Laplace equation, and the wave equation. The primary technique covered in the course is separation of variables, which leads to solutions in the form of eigenfunction expansions. The topics include Fourier series, separation of variables, SturmLiouville theory, unbounded domains and the Fourier transform, spherical coordinates and Legendre’s equation, cylindrical coordinates and Bessel’s equation. The software package Mathematica will be used extensively. Prior knowledge of Mathematica is helpful but not essential. In the last two weeks of the course, there will be a project on an assigned topic. The course will include applications in heat conduction, electrostatics, fluid flow, and acoustics. Prerequisites: MTH 165 and MTH 165


CHE 4002
–
F 3:25PM  4:40PM


Required recitation for CHE 4001


CHE 4141
William Renninger
TR 11:05AM  12:20PM


Advanced techniques utilizing vector calculus, series expansions, contour integration, integral transforms (Fourier, Laplace and Hilbert) asymptotic estimates, and second order differential equations.


CHE 4142
William Renninger
F 11:05AM  12:20PM


Advanced techniques utilizing vector calculus, series expansions, contour integration, integral transforms (Fourier, Laplace and Hilbert) asymptotic estimates, and second order differential equations.


CHE 4332
Andrea Pickel
TR 11:05AM  12:20PM


Understanding energy transport and conversion at the nanoscale requires a detailed picture of interactions among molecules, electrons, phonons, and photons. This course draws on relevant concepts of statistical thermodynamics and solid state physics to describe the physical mechanisms of energy transport and conversion in nanoscale systems. Topics covered include kinetic theory of gases, thermodynamic distribution functions, energy carrier dispersion relations, Boltzmann transport equation modeling of thermal and electrical properties, size effects (classical and quantum) on material properties, and thermoelectric and photovoltaic energy conversion.


CHE 4411
David Foster
MW 4:50PM  6:05PM


This course will acquaint the student with important topics in advanced transport phenomena (momentum, heat and mass transport). Topics include laminar and turbulent flow, thermal conductivity and the energy equation, molecular mass transport and diffusion with heterogeneous and homogeneous chemical reactions. Focus will be to develop physical understanding of principles discussed and with emphasis on chemical engineering applications. In addition to the text, the student will be exposed to classic and current literature in the field.


CHE 4441
Mitchell Anthamatten
TR 2:00PM  3:15PM


Blank Description


CHE 4442
Mitchell Anthamatten
M 3:25PM  4:40PM


Blank Description


CHE 4581
Mark Mathias
TR 6:15PM  7:30PM


This course will present principles of electrochemistry and electrochemical engineering, leading into design considerations for the development of battery and fuel cell systems. The course will prepare you to understand the role of energy conversion and storage to address environmental challenges, with specific focus on electric vehicles and loadleveling of the electric grid.


CHE 4661
Jason Condon
WF 11:50AM  1:05PM


This course will explore the bioprocesses involved in producing a biopharmaceutical product (therapeutic proteins, cell therapy products, and vaccines). The course will take a stepwise journey through a typical production process from the perspective of a Bioprocess Engineer, starting with cell culture and moving downstream through purification and final fill. Engineering concepts involved in bioreactor design and control, cell removal/recovery operations, and protein purification will be examined. The course will also provide an introduction to the analytical methods used to test biopharmaceutical products for critical quality attributes. The role of the regulatory agencies, like the US Food and Drug Administration, and the regulations that govern the industry will be introduced throughout the course in the context of the bioprocess to which they relate. Students taking the course for Upper Level BME or Graduate credit will need to complete a semesterend project.Prerequisites: BIO110, CHM132, CHE243 or ME225, CHE244 or Permission of Instructor


CHE 4682
David Foster
TR 4:50PM  6:05PM


This course will provide an introduction to computational fluid dynamics (CFD) with emphasis on both the theory and the practical application to simple and complex problems. The course begins with a study of finite difference and finite volume models of onedimensional partial differential equations. These equations are central to the understanding of more complex CFD models. The course will use ANSYS Fluent, a commercial CFD code, to solve both simple and complex simulations including both laminar and turbulent flow as well as heat transfer. The course will be a combination of traditional lectures, inclass projects and independent project work.


CHE 4761
Wyatt Tenhaeff
TR 9:40AM  10:55AM


An introduction to polymerization reaction mechanisms. The kinetics of commercially relevant polymerizations are emphasized along with a discussion of important, contemporary polymerization schemes. Approaches to functionalize polymers and surfaceinitiated polymerizations will also be covered. An overview of polymer characterization techniques, emphasizing compositional analysis. Prerequisite CHE 226 or permission of instructor.


CHE 47801
Andrew White
MW 10:25AM  11:40AM


This is an advanced elective where students will learn and implement recent advances of machine learning in materials and chemistry. Students will learn to apply machine learning to a variety of problems in chemistry and materials science, especially deep learning with graphs and point clouds. This course assumes Python programming experience, probability theory, and basic chemistry knowledge. Topics covered are regression, classification, unsupervised learning, kernel methods, deep learning, graph convolutional neural networks, statistical learning theory, quantum machine learning, generative models, autoregressive models, active learning, Bayesian optimization, equivariance, and deep learning with point clouds. Potential special topics include natural language processing, Monte Carlo tree search for retrosynthesis, reinforcement learning, and metalearning. Each of these topics are individually complex so only their application in chemistry and materials will emphasized.

Fall 2021
Number  Title  Instructor  Time 

Monday  
CHE 4442
Mitchell Anthamatten


Blank Description 

Monday and Wednesday  
CHE 47801
Andrew White


This is an advanced elective where students will learn and implement recent advances of machine learning in materials and chemistry. Students will learn to apply machine learning to a variety of problems in chemistry and materials science, especially deep learning with graphs and point clouds. This course assumes Python programming experience, probability theory, and basic chemistry knowledge. Topics covered are regression, classification, unsupervised learning, kernel methods, deep learning, graph convolutional neural networks, statistical learning theory, quantum machine learning, generative models, autoregressive models, active learning, Bayesian optimization, equivariance, and deep learning with point clouds. Potential special topics include natural language processing, Monte Carlo tree search for retrosynthesis, reinforcement learning, and metalearning. Each of these topics are individually complex so only their application in chemistry and materials will emphasized. 

CHE 4411
David Foster


This course will acquaint the student with important topics in advanced transport phenomena (momentum, heat and mass transport). Topics include laminar and turbulent flow, thermal conductivity and the energy equation, molecular mass transport and diffusion with heterogeneous and homogeneous chemical reactions. Focus will be to develop physical understanding of principles discussed and with emphasis on chemical engineering applications. In addition to the text, the student will be exposed to classic and current literature in the field. 

Monday, Wednesday, and Friday  
CHE 4001
Hussein Aluie


This course covers the classical partial differential equations of mathematical physics: the heat equation, the Laplace equation, and the wave equation. The primary technique covered in the course is separation of variables, which leads to solutions in the form of eigenfunction expansions. The topics include Fourier series, separation of variables, SturmLiouville theory, unbounded domains and the Fourier transform, spherical coordinates and Legendre’s equation, cylindrical coordinates and Bessel’s equation. The software package Mathematica will be used extensively. Prior knowledge of Mathematica is helpful but not essential. In the last two weeks of the course, there will be a project on an assigned topic. The course will include applications in heat conduction, electrostatics, fluid flow, and acoustics. Prerequisites: MTH 165 and MTH 165 

Tuesday  
Tuesday and Thursday  
CHE 4761
Wyatt Tenhaeff


An introduction to polymerization reaction mechanisms. The kinetics of commercially relevant polymerizations are emphasized along with a discussion of important, contemporary polymerization schemes. Approaches to functionalize polymers and surfaceinitiated polymerizations will also be covered. An overview of polymer characterization techniques, emphasizing compositional analysis. Prerequisite CHE 226 or permission of instructor. 

CHE 4141
William Renninger


Advanced techniques utilizing vector calculus, series expansions, contour integration, integral transforms (Fourier, Laplace and Hilbert) asymptotic estimates, and second order differential equations. 

CHE 4332
Andrea Pickel


Understanding energy transport and conversion at the nanoscale requires a detailed picture of interactions among molecules, electrons, phonons, and photons. This course draws on relevant concepts of statistical thermodynamics and solid state physics to describe the physical mechanisms of energy transport and conversion in nanoscale systems. Topics covered include kinetic theory of gases, thermodynamic distribution functions, energy carrier dispersion relations, Boltzmann transport equation modeling of thermal and electrical properties, size effects (classical and quantum) on material properties, and thermoelectric and photovoltaic energy conversion. 

CHE 4441
Mitchell Anthamatten


Blank Description 

CHE 4682
David Foster


This course will provide an introduction to computational fluid dynamics (CFD) with emphasis on both the theory and the practical application to simple and complex problems. The course begins with a study of finite difference and finite volume models of onedimensional partial differential equations. These equations are central to the understanding of more complex CFD models. The course will use ANSYS Fluent, a commercial CFD code, to solve both simple and complex simulations including both laminar and turbulent flow as well as heat transfer. The course will be a combination of traditional lectures, inclass projects and independent project work. 

CHE 4581
Mark Mathias


This course will present principles of electrochemistry and electrochemical engineering, leading into design considerations for the development of battery and fuel cell systems. The course will prepare you to understand the role of energy conversion and storage to address environmental challenges, with specific focus on electric vehicles and loadleveling of the electric grid.


Wednesday  
CHE 4962
Mitchell Anthamatten


Departmental seminar. Graduate students must register, zero credits. Attendance is mandatory and lettergraded. 

Wednesday and Friday  
CHE 4661
Jason Condon


This course will explore the bioprocesses involved in producing a biopharmaceutical product (therapeutic proteins, cell therapy products, and vaccines). The course will take a stepwise journey through a typical production process from the perspective of a Bioprocess Engineer, starting with cell culture and moving downstream through purification and final fill. Engineering concepts involved in bioreactor design and control, cell removal/recovery operations, and protein purification will be examined. The course will also provide an introduction to the analytical methods used to test biopharmaceutical products for critical quality attributes. The role of the regulatory agencies, like the US Food and Drug Administration, and the regulations that govern the industry will be introduced throughout the course in the context of the bioprocess to which they relate. Students taking the course for Upper Level BME or Graduate credit will need to complete a semesterend project.Prerequisites: BIO110, CHM132, CHE243 or ME225, CHE244 or Permission of Instructor 

Thursday  
Friday  
CHE 4142
William Renninger


Advanced techniques utilizing vector calculus, series expansions, contour integration, integral transforms (Fourier, Laplace and Hilbert) asymptotic estimates, and second order differential equations. 

CHE 4002
–


Required recitation for CHE 4001 