Advanced topics in chemical engineering to meet the needs and interests of graduate students.
Molecular imaging (MI) is a highly interdisciplinary and rapidly emerging field in which fundamental biological processes are visualized, quantified, and analyzed in living subjects. As such, MI has become an indispensable tool for biomedical research, for the development of diagnostics, for nano, molecular , biologic, cellular, and tissue–based therapeutics, and for drug discovery. Rather than focus on the wide applications of MI (i.e. Oncology, Cardiology, Inflammation, Angiogenesis, Gene and Cell Therapy), this course is designed to teach fundamental engineering aspects drawing from the science and engineering, and then considering clinical applications. The interdisciplinary subjects to be covered include fundamental aspects of chemical engineering (mass balances, transport, and kinetics), Physics (optics, biophotonics, ultrasound, nuclear and MRI physics), Radiology (imaging instrumentation, modalities, image reconstruction and analysis), Chemistry (Synthetic and Radiochemistry), Biology (Biotechnology, Protein Engineering, Molecular Biology, Biochemistry, Cell Biology), Clinical Medicine (Pharmacology, Pathology), and Translational Medicine. By the end of the class, the student will understand: 1) how to read, analyze, and interpret molecular imaging literature, 2) how to be able to design and test molecular imaging strategies for a particular problem of interest, 3) how to create, interpret and analyze molecular images, 4) strengths and limitations of each approach, 5) emerging and advanced topics, 6) general knowledge of the clinical and industrial aspects of the MI.
This course deals with the analysis and medication of metabolic pathways. It provides an integration and quantification approach towards metabolism and cell physiology. Areas that will be covered in this course include a review of cellular metabolism, comprehensive models for cellular reactions, regulation of metabolic pathways, examples of pathway manipulations (metabolic engineering in practice), metabolic flux analysis and metabolic control analysis. Some concepts of bioinformatics in a way that relate with cell metabolism studies, will also be introduced.
Introduction to the principles of transport phenomena, particularly fluid mechanics. Fully developed laminar flows. Navier-Stokes equations derived from the point of view of momentum transport. Boundary layer concepts and assumptions discussed and applied to specific configurations. Creeping flows in relation to specific applications. Mathematical techniques, including orthogonal function expansions and similarity-type solutions. Buoyancy-driven flows. Applications in reverse osmosis, crystallization, and chromatography. Asymptotic solutions valid for high Prandtl and Schmidt numbers. Phenomenological theories of turbulence. Free surface and conduit flows.
(Continuation of CE 509.) Emphasis on heat and mass transfer. Convection. Energy and convective diffusion equations, formulation of proper boundary conditions for various physical situations. Combined modes of transfer. Steady and unsteady state conduction and diffusion. Moving boundary problems.
Theoretical and computational methods necessary to characterize systems by their vapor-liquid phase relationships. Behavior in ideal binary to multicomponent real systems. State calculations from single ideal cases to multi-component fractionation methods. Equipment parameters and design methods.
This is an advanced bioengineering course designed to teach engineering graduate students fundamental concepts that will assist them to transition from traditional engineering based education to bioengineering research. To achieve this goal, the class seeks to educate the students on fundamental as well as practical knowledge that are directly relevant to the type of research that is conducted in bioengineering laboratories.
This course will discuss topics relevant to chemical engineering problems of cleaning gaseous, liquid and solid streams. The course will provide an introduction to environmental cleaning technology at a senior undergraduate/beginning graduate level. It will provide students with the knowledge and ability to deal with the daily practice of chemical engineers in designing clean technological processes or cope with the waste streams that are not handled properly in the plant. (Crosslisted with CE 423.) <
Brief review of classical equilibrium thermodynamics based on the second law. Statistical concepts helpful in calculating properties of mixtures. Calculations of phase equilibria in binary and multi-component systems using modern approaches based on molecular thermodynamics.
A first approach to statistical mechanics and its methods. Ensembles and the statistical formulation of the laws of thermodynamics. Mono-and poly-atomic ideal gases. Imperfect gases and graph theory. Dense liquids, distribution functions, computer simulation techniques. Lattice models, renormalization group methods. Microscopic dynamics and transport properties. Inhomogeneous fluids.
Intermolecular and surface forces. Solid-liquid and liquid-liquid interfaces: thermodynamics, condensation, capillary action, contact angles, adsorption from solution, monolayers. Self-assembly in solution: micelles, bilayers, microemulsions, phase behavior. Colloidal dispersions: detergency, emulsions, foams, colloidal stability. (Crosslisted with CE 457).
Applications of principles of surface chemistry. Chemisorption and catalysis. Detergency. Emulsion. Flotation. Kinetics of coagulation processes. Colloidal methods of studying the molecular weight and shape of polymer molecules and other particles. Polymer adsorption. Cell membrane structure. Adhesion. Environmental applications.
This course will provide students with an understanding of the methods, capabilities, and limitations of molecular simulation. It will consist of the following topics: Theory, methods, and application of molecular simulation. Elementary statistical mechanics. Molecular modeling. Basic Monte Carlo and molecular dynamics techniques and ensemble averaging. Evaluation of free energies, phase equilibria, interfacial properties, and transport and rate coefficients. Applications to simple and complex fluids and solids. Commercial simulation software.
Development and application of mathematical techniques of particular interest to chemical engineers. Process of formulating mathematical models for simple chemical processes. Differential equations, ordinary and partial. Analytical (exact and approximate) methods of solving equations.
Computational methods for solving differential equations that model physical phenomena in chemical engineering.
Finite element methods will be developed in the general framework of the weighted residual methods. Basis function (Lagrange, Hermite, Spline) will be developed in one, two, and three dimensions. Programming with FEM will be discussed for linear and nonlinear problems as well as for moving boundary problems. Iterative solution schemes will be compared and employed. Physical problems will be solved from the areas of fluid flow, transport phenomena, and reaction engineering.
Intermolecular and inter-atomic forces; molecular orbitals and chemical bonds, crystal geometry and defects; metals and alloys; diffusion, nucleation, and microstructure; phase diagrams and phase transformations; mechanical properties of materials; polymers; semiconductors; superconductors; corrosion and electrochemistry. Includes a lab. (Crosslisted with CE 433).
Introduction to polymers/macromolecules. Classification of polymers with respect to structure and mechanisms of polymerization reaction. Relations between chemical structure and physical properties. Polymer solutions and blends. Mechanical behavior and engineering properties of polymers.
Types of polymers and polymerizations. Step polymerization (kinetics, crosslinking). Radical chain and emulsion polymerization. Ionic chain polymerization (cationic, anionic). Chain copolymerization. Ring-opening polymerization. Reactions of polymers.
Chain-like nature of polymers and techniques for the characterization of polymer molecular weight and size. Statistical thermodynamics of polymer solutions, phase equilibria in polymer systems. Polymers in the amorphous, crystalline, or rubber state. Cross-linked polymers and rubber elasticity.
Inelastic and viscoelastic fluids. Structure and flow phenomena associated with polymeric liquids. Detailed treatment of material functions and rheometry. Differential integral and rate-type constitutive equations. Introduction to the molecular treatment of rheology. Several problems in applied non-Newtonian fluid mechanics.
Theory and practice of polymer processing operations. Review of continuum me chanics and conservation principles for mass, momen-tum, and energy. Viscometry and rheological equations of state. Industrially important polymer processes, including single and twin screw extrusion, wire coating, film blowing, fiber spinning, blow molding, injection molding, and rotational molding. Mixing, lubrication theory, and stability of flows.
Advanced treatment of metabolic pathways in prokaryotes and eukaryotes; fermentor and bioreactor design and operation strategies; bioseparations; genetic engineering techniques; and models of cellular function. (Crosslisted with CE 446).
This senior undergraduate/beginning level graduate course serves as an introduction to Biomedical Engineering with emphasis on vascular engineering. The overall goal is to give students an understanding of how quantitative approaches can be combined with biological information to advance knowledge in the areas of thrombosis, inflammation to biology and cancer metastasis. Emphasis is placed on cellular and molecular bioengineering methods. (Crosslisted with CE 448.)
This course is an introduction to Protein Engineering and Design. The objective of the course is to teach the students to think of protein as an object that can be engineered using molecular tools in order to achieve novel physical and chemical properties. The students first learn the fundamentals of protein structure and how protein structure dictates function. This includes discussions of protein structure, biochemistry and molecular biology techniques, the basics of physical and organic chemistry, and molecular modeling through computer visualization. Additionally, students learn different protein design strategies, including knowledge-based design, computational protein design, and directed evolution, that are commonly used for protein engineering. Examples of engineered proteins with novel structural and functional properties are extensively discussed to illustrate how design principles are applied to real life problems. (Crosslisted with CE 450).
This course will provide students with an introduction to aerosol science and technology at a senior undergraduate/beginning graduate level. It will provide students with the knowledge and skills needed to understand and predict the production, transport, and other behavior of aerosols and will introduce them to technologies for producing, measuring, and collecting them. (Crosslisted with CE 456.)
Applications of chemical kinetics, thermodynamics, and transport phenomena to the design of chemical reactors. More practical than theoretical.
Catalyst preparation. Newer techniques for surface analysis (ESCA, AES, SEMEDAX, EXAFS, SIMS). Treatment of mass and heat transfer effects in catalytic kinetics.
Tissue Engineering is a relatively new field that combines knowledge of engineering principles, material science and cell biology to reconstruct tissues ex vivo. It is driven by the rapidly growing need for tissue transplants world-wide. Examples of these technologies that are currently being developed in various laboratories include bioengineered skin, bone, cartilage, blood vessels, heart valves, liver, islets and bone marrow.
In this course we discuss the following topics: (i) the basic scientific principles enabling the field of tissue engineering (cell culture, biology of extracellular matrix molecules, elements of immune reaction to transplants); (ii) engineering fundamentals (biomaterials/scaffolds for tissue growth, engineering the microenvironment for optimal cell organization and function; technologies for spatio-temporal control of cell/tissue organization); (iii) methods for genetic manipulation of cells; and (iv) specific examples of bioengineered tissues including skin, blood vessels, bone and others. The ultimate goal is for the students to understand the main conceptual and technical challenges facing the field of tissue engineering and regenerative medicine and the transition of cell therapies from the laboratory to the clinic.
Students are exposed to a broad range of industrial problems and will solve the problems in a project-oriented approach.
Autonomous and nonautonomous systems; nonlinear ODEs; phase plane analysis; linear stability theory; Lyapunovs direct method; bifurcation theory; cusps, isolas, and limit cycles; periodic solutions and Hopf bifurcation and stability analysis; nonlinear PDEs; pattern formation in chemical systems; transition to chaos; hydrodynamic stability. Examples focus on reaction and transport processes.
Graduate students are required to attend weekly seminars presented by distinguished speakers from academia and industry.
This is a two-semester course that aims at training doctoral graduate students in the methodologies and practices used in chemical engineering research. Students learn the techniques for formulating, developing and completing an original research problem in their respective fields of interest. The course material covers development of new research ideas, literature search to identify the state of the art in the specific field, connectivity and cross-fertilization of ideas, multidisciplinary research, as well as instruction on the most popular experimental, theoretical and computational techniques used in chemical engineering research. Students will work on individual research projects developed during the first semester of the course. The second semester will focus on obtaining preliminary original results. Evaluation of student performance will be based on progress reports and a final report. Oral defense of the final reports in front of a committee of graduate faculty is required.
Computational simulation of template-assisted self-assembly of magnetic core-shell nanoparticles into a tapered hexagonal closed-packed multilayed structure compared with corresponding image taken from the literature.