Graduate Program

Term Schedule

Fall 2020

Number	Title	Instructor	Time
CHE 400-1 Applied Boundary Value Prob Hussein Aluie MWF 11:50AM - 12:40PM
See ME 201 for course description Location Wegmans Room 1400 (MWF 11:50AM - 12:40PM)
CHE 400-2 App Boundary Value Prob-Rec – F 3:25PM - 4:40PM
See ME 201 for course description Location Bausch & Lomb Room 109 (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 Online Room 9 (ASE) (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 Morey Room 321 (F 11:05AM - 12:20PM)
CHE 420-2 Biomedical Nanotechnology Kanika Vats TR 2:00PM - 3:15PM
This course is designed to provide students with detailed knowledge of the principles of nanotechnology and their applications in the biomedical field. Topics of study will include synthesis & assembly of nanoscale structures, lithography, and nanobiomaterials. Students will focus on biomedically-relevant topics such as cancer treatment, bone disorder, diabetes; and learn how nanotechnology is helping diagnose, treat, and understand these medical disorders. Recent innovative research in the biomedical field will be highlighted during discussions of the latest journal articles. At the end of the course, students will have an appreciation of the enormous potential of biomedical nanotechnology, its current, and future applications Location (TR 2:00PM - 3:15PM)
CHE 425-1 Thermodynamics I Astrid Mueller; Alexander Shestopalov TR 12:30PM - 1:45PM
Blank Description Location Strong Auditorium Room 011 (TR 12:30PM - 1:45PM)
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 Meliora Room 221 (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 Goergen Hall Room 108 (MW 4:50PM - 6:05PM)
CHE 444-1 Heat & Mass Transfer Mitchell Anthamatten; Shaw-Horng Chen TR 2:00PM - 3:15PM
Blank Description Location Hoyt Hall Room 104 (TR 2:00PM - 3:15PM)
CHE 444-2 Heat & Mass Transfer Rec Mitchell Anthamatten M 3:25PM - 4:40PM
Blank Description Location Hutchison Hall Room 141 (M 3:25PM - 4:40PM)
CHE 458-1 Electrochem Batt & Fuel Cell Mark Mathias TR 3:25PM - 4:40PM
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 Goergen Hall Room 101 (TR 3:25PM - 4:40PM)
CHE 464-1 Biofuels J Wu M 6:15PM - 8:55PM
This course will provide the student with a grounding in the fundamental principles of biofuels, including their sources, properties, and the biological and chemical processes by which they are made. Location Gavett Hall Room 202 (M 6:15PM - 8:55PM)
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 Online Room 22 (ASE) (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 303 (TR 4:50PM - 6:05PM)
CHE 468-3 Fundamentals of Computational Fluid Dynamics ONLINE 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 (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, will be presented. The course is intended for graduate students in Chemical Engineering, Chemistry, Materials Science, and Biomedical Engineering, but advanced undergraduates are welcome. Location Gavett Hall Room 206 (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 Morey Room 525 (MW 10:25AM - 11:40AM)
CHE 488-1 Intro to Energy Systems Matthew Yates TR 9:40AM - 10:55AM
The goal of this course is to provide a succinct introduction to the different means of producing energy. The first and second laws of thermodynamics are reviewed to introduce the concepts of conservation of energy and efficiency. Then these concepts are applied to a number of different energy technologies, including wind, hydroelectric, geothermal, fuel cells, biomass, and nuclear. For each type of technology, a technical introduction is given so that the student will understand the governing scientific principles. Location Gavett Hall Room 202 (TR 9:40AM - 10:55AM)

Number	Title	Instructor	Time
Monday
CHE 444-2 Heat & Mass Transfer Rec Mitchell Anthamatten
Blank Description
CHE 464-1 Biofuels J Wu
This course will provide the student with a grounding in the fundamental principles of biofuels, including their sources, properties, and the biological and chemical processes by which they are made.
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
See ME 201 for course description
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, will be presented. The course is intended for graduate students in Chemical Engineering, Chemistry, Materials Science, and Biomedical Engineering, but advanced undergraduates are welcome.
CHE 488-1 Intro to Energy Systems Matthew Yates
The goal of this course is to provide a succinct introduction to the different means of producing energy. The first and second laws of thermodynamics are reviewed to introduce the concepts of conservation of energy and efficiency. Then these concepts are applied to a number of different energy technologies, including wind, hydroelectric, geothermal, fuel cells, biomass, and nuclear. For each type of technology, a technical introduction is given so that the student will understand the governing scientific principles.
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 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 425-1 Thermodynamics I Astrid Mueller; Alexander Shestopalov
Blank Description
CHE 420-2 Biomedical Nanotechnology Kanika Vats
This course is designed to provide students with detailed knowledge of the principles of nanotechnology and their applications in the biomedical field. Topics of study will include synthesis & assembly of nanoscale structures, lithography, and nanobiomaterials. Students will focus on biomedically-relevant topics such as cancer treatment, bone disorder, diabetes; and learn how nanotechnology is helping diagnose, treat, and understand these medical disorders. Recent innovative research in the biomedical field will be highlighted during discussions of the latest journal articles. At the end of the course, students will have an appreciation of the enormous potential of biomedical nanotechnology, its current, and future applications
CHE 444-1 Heat & Mass Transfer Mitchell Anthamatten; Shaw-Horng Chen
Blank Description
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.
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 468-3 Fundamentals of Computational Fluid Dynamics ONLINE 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.
Wednesday
CHE 496-2 Research Seminar –
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 –
See ME 201 for course description