Graduate Program

Term Schedule

Fall 2021

Number	Title	Instructor	Time
CHE 400-1 Applied Boundary Value Prob 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, Sturm-Liouville 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 Location Dewey Room 2162 (MWF 11:50AM - 12:40PM)
CHE 400-2 App Boundary Value Prob-Rec – F 3:25PM - 4:40PM
Required recitation for CHE 400-1 Location Computer Studies Room 209 (F 3:25PM - 4:40PM)
CHE 414-1 Math Meth of Optics & Phy 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. Location Goergen Hall Room 108 (TR 11:05AM - 12:20PM)
CHE 414-2 Math Methods for Optics-Rec 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. Location Goergen Hall Room 108 (F 11:05AM - 12:20PM)
CHE 433-2 Nanoscale Energy Transport and Conversion 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. Location Hylan Building Room 102 (TR 11:05AM - 12:20PM)
CHE 441-1 Adv Transport Phenomena 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. Location Hylan Building Room 102 (MW 4:50PM - 6:05PM)
CHE 444-1 Heat & Mass Transfer Mitchell Anthamatten TR 2:00PM - 3:15PM
Blank Description Location Goergen Hall Room 101 (TR 2:00PM - 3:15PM)
CHE 444-2 Heat & Mass Transfer Rec Mitchell Anthamatten M 3:25PM - 4:40PM
Blank Description Location Goergen Hall Room 108 (M 3:25PM - 4:40PM)
CHE 458-1 Electrochem Batt & Fuel Cell 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 load-leveling of the electric grid. Location Gavett Hall Room 301 (TR 6:15PM - 7:30PM)
CHE 466-1 Bioprocess Engineering 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 semester-end project.Pre-requisites: BIO110, CHM132, CHE243 or ME225, CHE244 or Permission of Instructor Location Gavett Hall Room 310 (WF 11:50AM - 1:05PM)
CHE 468-2 Fundamentals of Computational Fluid Dynamics 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 one-dimensional 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, in-class projects and independent project work. Location Hylan Building Room 307 (TR 4:50PM - 6:05PM)
CHE 476-1 Polymer Chemistry 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 surface-initiated polymerizations will also be covered. An overview of polymer characterization techniques, emphasizing compositional analysis. Prerequisite CHE 226 or permission of instructor. Location Dewey Room 2110E (TR 9:40AM - 10:55AM)
CHE 478-01 Machine Learning of Molecules and Materials 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 meta-learning. Each of these topics are individually complex so only their application in chemistry and materials will emphasized. Location Hylan Building Room 305 (MW 10:25AM - 11:40AM)

Number	Title	Instructor	Time
Monday
CHE 444-2 Heat & Mass Transfer Rec Mitchell Anthamatten
Blank Description
Monday and Wednesday
CHE 478-01 Machine Learning of Molecules and Materials 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 meta-learning. Each of these topics are individually complex so only their application in chemistry and materials will emphasized.
CHE 441-1 Adv Transport Phenomena 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 400-1 Applied Boundary Value Prob 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, Sturm-Liouville 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 476-1 Polymer Chemistry 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 surface-initiated polymerizations will also be covered. An overview of polymer characterization techniques, emphasizing compositional analysis. Prerequisite CHE 226 or permission of instructor.
CHE 414-1 Math Meth of Optics & Phy 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 433-2 Nanoscale Energy Transport and Conversion 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 444-1 Heat & Mass Transfer Mitchell Anthamatten
Blank Description
CHE 468-2 Fundamentals of Computational Fluid Dynamics 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 one-dimensional 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, in-class projects and independent project work.
CHE 458-1 Electrochem Batt & Fuel Cell 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 load-leveling of the electric grid.
Wednesday
CHE 496-2 Research Seminar Mitchell Anthamatten
Departmental seminar. Graduate students must register, zero credits. Attendance is mandatory and letter-graded.
Wednesday and Friday
CHE 466-1 Bioprocess Engineering 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 semester-end project.Pre-requisites: BIO110, CHM132, CHE243 or ME225, CHE244 or Permission of Instructor
Thursday
Friday
CHE 414-2 Math Methods for Optics-Rec 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 400-2 App Boundary Value Prob-Rec –
Required recitation for CHE 400-1