Graduate Program
Term Schedule
Fall 2020
Number | Title | Instructor | Time |
---|
CHE 400-1
Hussein Aluie
MWF 11:50AM - 12:40PM
|
See ME 201 for course description
|
CHE 400-2
F 3:25PM - 4:40PM
|
See ME 201 for course description
|
CHE 414-1
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 414-2
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 420-2
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
|
CHE 425-1
Astrid Mueller; Alexander Shestopalov
TR 12:30PM - 1:45PM
|
Blank Description
|
CHE 433-2
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 441-1
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 444-1
Mitchell Anthamatten; Shaw-Horng Chen
TR 2:00PM - 3:15PM
|
Blank Description
|
CHE 444-2
Mitchell Anthamatten
M 3:25PM - 4:40PM
|
Blank Description
|
CHE 458-1
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.
|
CHE 464-1
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.
|
CHE 466-1
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
|
CHE 468-2
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.
|
CHE 468-3
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.
|
CHE 476-1
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.
|
CHE 478-01
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.
|
CHE 488-1
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.
|
Fall 2020
Number | Title | Instructor | Time |
---|---|
Monday | |
CHE 444-2
Mitchell Anthamatten
|
|
Blank Description |
|
CHE 464-1
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
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
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
Hussein Aluie
|
|
See ME 201 for course description |
|
Tuesday and Thursday | |
CHE 476-1
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
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
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
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
Astrid Mueller; Alexander Shestopalov
|
|
Blank Description |
|
CHE 420-2
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
Mitchell Anthamatten; Shaw-Horng Chen
|
|
Blank Description |
|
CHE 458-1
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
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
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
|
|
Departmental seminar. Graduate students must register, zero credits. Attendance is mandatory and letter-graded. |
|
Wednesday and Friday | |
CHE 466-1
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
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
|
|
See ME 201 for course description |