78 courses with the subject CBE, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
An opportunity for the student to work closely with a professor in a project to develop skills and technique in research and development. To register for this course, the student writes a one-page proposal that is approved by the professor supervising the research and submitted to the undergraduate curriculum chairman during the first week of the term.
The goal of this course is to teach you the fundamentals and excitement of biotechnology from a quantitative and engineering perspective. Concepts that will be covered include DNA, RNA, the Central Dogma, protein structure and function, recombinant DNA technology, enzymatic activity, RNA silencing, CRISPR gene editing, electrophoresis, chromatography, polymerase chain reaction, hybridization & array technology, basic immunology, viruses, principle of vaccination, DNA machines, synthetic biology, DNA materials, traditional and next generation DNA sequencing, DNA computation, and DNA forensics. Quantitative concepts will be introduced as necessary. The course is reserved for Freshmen but is open to students in all disciplines of engineering.
to Chemical
This course introduces the principles of material and energy balances and their applications to the analysis of single- and multiple-phase processes used in the chemical, pharmaceutical, and environmental industries. The course focuses on the conceptual understanding of properties of pure fluids, equations of state, and heat effects accompanying phase changes and chemical reactions, and problem- solving skills needed to solve a wide range of realistic, process-related problems.
Students will understand, evaluate, and apply different equations of state relating pressure, temperature, and volume for both ideal and non-ideal systems. The course will focus on calculating and applying residual properties and departure functions for thermodynamic analysis of non-ideal gases. Students will apply and describe simple models of vapor-liquid equilibrium in multi-component systems (e.g. Raoult's Law, modified Raoult's Law, Henry's Law). Additionally, the class will analyze and describe properties of non-ideal mixtures and their component species. We will also model and predict reaction equilibria (including non- ideal fluid systems), as well as solve problems related to complex phase equilibria of multi-component systems (find equilibrium compositions for non-ideal phases). Prerequisite required: CBE 2300 Material and Energy Balances of Chemical Processes.
Fall or Spring1 Course Unit
This course will be offered when necessitated by demand and permitted d by schedule. The topics covered by the course will vary depending on the particular interests and expertise of the instructor(s). Topics are generally subjects of contemporary concern in the discipline. Not Offered Every Year 1 Course Unit
have CBE 4000 Introduction to Product and Process plan Design
This course covers engineering concepts for renewable energy processes. Fundamental engineering calculations for solar, wind, biofuel, geothermal, and hydroelectric energy production in comparison to oil and gas will be covered. Electric vehicles and energy storage will be discussed. Students will consider the specific needs of public health, safety and welfare in addition to global , cultural, social, environmental and economic factors will be in a particular country for a group project.
Product and Device Design Part one of a two semester lab and classroom-based design sequence. Engineers design molecules, medicines, materials, products and processes. This course introduces students to the practical elements of such design. It offers a hands-on introduction to the design and realization of practical products and devices that leverage chemical engineering principles for their operation. Students work in small teams to realize a specific design objective - a working device that meets cost and performance-based design specifications. The first part of the course is centered on lab safety, exploring the physical and chemical principles associated with the design objective, conducting basic market research, surveying intellectual property, and developing the required maker space skills in instrumentation and fabrication that are required to build the design target. The second part of the course entails the fabrication and evaluation of prototypes, and iterative refinement of designs. Two Term Class, Student must enter first term; credit given after both terms are complete Also Offered As: ENGR 3300A 0-0.5 Course Units
Product and Device Design Part two of a two semester lab and classroom-based design sequence. Engineers design molecules, medicines, materials, products and processes. This course introduces students to the practical elements of such design. It offers a hands-on introduction to the design and realization of practical products and devices that leverage engineering principles for their operation. Students work in small teams to realize a specific design objective - a working device that meets cost and performance-based design specifications. The first part of the course is centered on lab safety, exploring the physical and chemical principles associated with the design objective, conducting basic market research, surveying intellectual property, and developing the required maker space skills in instrumentation and fabrication that are required to build the design target. The second part of the course entails the fabrication and evaluation of prototypes, and iterative refinement of designs. introductory Chemistry, Physics, or Biology. Two Term Class, Student must enter first term; credit given after both terms are complete Also Offered As: ENGR 3300B taking CBE 3300B. 0-0.5 Course Units 2026-27 Catalog | Generated 08/03/26
This course is designed for students to understand the fundamental characteristics of fluids. We will develop, starting from first principles, the basic equations for fluid statics, and use them to assess buoyancy forces and determine the pressure variations in fluids with rigid body rotation. Students will understand in detail the basic types of fluid flow line patterns (eg. streamlines and streamtubes) and the different types of interchangeable energy forms (eg. kinetic, potential, and pressure). It is also important to develop, starting from first principles, the formulations for inviscid and viscous flow problems. These include the discussion of a control system and system boundaries, the detailed construction of conservations equations of mass, energy, and momentum for Newtonian fluids, the derivation of the Navier-Stokes equations, and the determination of appropriate initial and boundary conditions. A final objective of the course is to solve various fluid mechanics problems using control systems, dimensional analysis, and developed equations. Such problems include, but are not limited to, the terminal velocity of a falling sphere, Stokes flow, the relation between the friction factor and the Reynolds number, and flow profiles in numerous geometries. Prerequisite required: CBE 2310 Thermodynamics of Fluids.
Steady-state heat conduction. The energy equation. Fourier's law. Unsteady-state conduction. Convective heat transfer. Radiation. Design of heat transfer equipment. Diffusion, fluxes, and component conservation equations. Convective mass transfer. Interphase mass transport coefficients. Prerequisite required: CBE 3500 Fluid Mechanics.
Applications of physical chemistry to chemical engineering systems. Equilibrium statistical mechanics of ideal gases, dense fluids and interfacial phases. Chemical reaction rates. Collision and transition state theories. Heterogeneous catalysis. Electronic structure and properties of solids.
Dynamics and control of linear single-input, single output (SISO) systems in chemical processes. Laplace transforms. Dynamic responses of linear systems to various inputs. Frequency domain analysis. Feedback control strategies. Stability. Controller tuning. Advanced control, including cascade and feed forward control. Introduction to multiple-input, multiple- output (MIMO) control. Inverse response.
The design of industrial methods for separating mixtures. Distillation; liquid-liquid extraction; membranes; absorption. Computer simulations of the processes.
2 CU's from the following Wharton Schools courses:
An opportunity for the student to work closely with a professor in a project to develop skills and technique in engineering research and development. To register for this course, the student writes a one-page proposal that is approved by the professor supervising the research and submitted to the undergraduate curriculum chairman during the first week of the term. This course is distinct from CBE 0099 in its emphasis on the engineering aspects of the research topic, and as such it can be used as a CBE elective. In the Project Proposal described on the Application for Independent Study form, the proposal should highlight the engineering aspects of the work. A final report is required to be submitted to the supervising professor and the undergraduate curriculum chair, who will work together to assign a grade.
to Product and
Experimental studies in heat and mass transfer, separations and chemical reactors to verify theoretical concepts and learn laboratory techniques. Methods for analyzing and presenting data. Report preparation and the presentation of an oral technical report. Prerequisite required: CBE 3510 Heat and Mass Transport AND CBE 3710 Separation Processes.
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or MSE 4300Introduction to Polymers
In this course, students will work on case studies for soft matter solutions to problems of societal significance. Examples will be drawn from the pharmaceuticals industry, emerging concepts in carbon capture, process intensification, clean energy, personal care and other fields that exploit our ability to design soft matter systems. The course will take the form of discussions to set societal context, lectures (including guest lecturers who are technical innovators in the field) to provide fundamental underpinnings, and student-led case studies of current approaches in which students critique current solutions and propose competing approaches. This course is designed with students in the junior or senior year in mind. The course is designed to be co-requisite with transport phenomena (CBE 3510 or equivalent), separations (CBE 3710 or equivalent), and thermodynamics (CBE 2310 or equivalent).
Students must choose 3 courses from the options of CBE 3 core courses OR CBE electives Total Course Units 6 The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2026 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.
This course is a Penn Global Seminar, which includes a travel component. An application is required. This course surveys the biochemistry and biochemical unit operations involved in the commercial production of modern wines. Topics will include grape growing, pressing, fermentation, filtration, and packaging/aging. Emphasis will also be placed on yeast microbiology and wine biochemistry. Lectures will be supported by wine tasting sessions to highlight the important characteristics of different wine types. The travel component will feature visits to local wineries in Mendoza, Argentina, each of which employs varying harvesting, fermentation, and packaging techniques. Mutually Exclusive: CBE 5560 1 Course Unit
Math and Natural Science
This course introduces the rapidly growing field of biotechnology in the context of chemical engineering. The primary objective of this course is to provide a framework for understanding how the fundamental chemical engineering techniques will apply to the biological systems, with a specific focus on designing processes for biotech industries such as pharmaceuticals and biomaterials. Additionally, students will work in groups on a current biotechnology topic related to chemical engineering that will be presented to the class and written as a final report. Emphasis will be given to key skills like problem-solving, using models, handling open-ended challenges, improving technical communication, and working effectively in a team. This course will prepare students for a successful biotechnology lab experience in CBE 4800.
4 Biochemical Engineering
This course will be offered when necessitated by demand and permitted by schedule. The topics covered by the course will vary depending on the particular interests and expertise of the instructor(s). Topics are generally subjects of contemporary concern in the discipline. Not Offered Every Year 1 Course Unit
This discussion-based course will introduce strategies to improve materials sustainability, particularly with respect to reduced energy consumption and greenhouse gas emissions during the extraction, synthesis and fabrication of materials. Innovative solutions will be described that include alternative feedstocks, materials substitutions, and materials waste reduction. This course will primarily focus on metals and polymers. The course will present overarching concepts and illustrative examples that capture the global nature of materials supply chains. Students will explore issues through the framework of the materials lifecycle, including resource availability, manufacturing choices, and disposal options for materials appropriate for the application. The intention is for students to be able to make more informed material selection decisions and to identify critical needs for future material development to improve materials sustainability.
EAS Climate Policy and Technology 3010/5010 EAS Electricity and Systems Markets 3060/5060 EAS Renewable Energy and Its Impacts: 4020/5020 Technology, Environment, Economics, Sustainability.
Research problems in the domain of physical, biological and biomedical sciences and engineering often span multiple time and length-scales from the molecular to the organ/organism, owing to the complexity of information transfer underlying biological mechanisms. Multiscale modeling (MSM) and high-performance scientific computing (HPC) have emerged as indispensable tools for tackling such complex problems. However, a paradigm shift in training is now necessary to leverage the rapid advances, and emerging paradigms in HPC --- GPU, cloud, exascale supercomputing, quantum computing --- that will define the 21st century. This course is a collaboration between Penn, UC Berkeley, and the Extreme Science and Engineering Discovery Environment (XSEDE) which administers several of the federally funded research purpose supercomputing centers in the US. It will be taught as a regular 1 CU course at Penn by adopting a flip-classroom/active learning format. The course is designed to teach students how to program parallel architectures to efficiently solve challenging problems in science and engineering, where very fast computers are required either to perform complex simulations or to analyze enormous datasets. The course is intended to be useful for students from many departments and with different backgrounds, e.g., scholar of Penn Institute for Computational Science, although we will assume reasonable programming skills in a conventional (non-parallel) language, as well as enough mathematical skills to understand the problems and algorithmic solutions presented.
The course covers topics in probability theories and statistical techniques, with emphases placed on the practical problems relevant to the subject areas of biotechnology. The course provides a rigorous introduction to such topics as elements of probability, random variables and probability functions, random samples, parameter estimations, hypothesis testing, regression, analysis of variance, lifetime testing, and nonparametric tests.
Polymer is one of the most widely used materials in our daily life, from the rubber tires to clothes, from photoresists in chip manufacturing to flexible electronics and smart sensors, from Scotch tapes to artificial tissues. This course teaches entry-level knowledge in polymer synthesis, characterization, thermodynamics, and structure-property relationship. Emphasis will be on understanding both chemical and physical aspects of polymers, polymer chain size and molecular interactions that drive the microscopic and macroscopic structures and the resulting physical properties. We will discuss how to apply polymer designs to advance nanotechnology, electronics, energy and biotechnology. Case studies include thermodynamics of block copolymer thin films and their applications in nanolithography, shape memory polymers, hydrogels, and elastomeric deformation and applications.
This course deals with static and dynamic properties of two important classes of soft materials: polymers and amphiphiles. Examples of these materials include DNA, proteins, diblock copolymers, surfactants and phospholipids. The fundamental theories of these materials are critical of understanding ploymer processing, nanotechnology, biomembranes and biophysics. Special emphasis will be placedon understanding the chain conformation of polymer chains, thermodynamics of polymer chains, thermodynamics of polymer solutions and melts, dynamics of polymer and statistical thermodynamic principles of self-assembly.
The main objective of this course is to teach concepts and implementation of deep learning techniques for scientific and engineering problems to advanced undergraduate and graduate students. This course entails various methods, including theory and implementation of deep leaning techniques to solve a broad range of computational problems frequently encountered in solid mechanics, fluid mechanics, non destructive evaluation of materials, systems biology, chemistry, and non-linear dynamics. At the end of the course participants will be able to: (1) Understand the underlying theory and mathematics of deep learning; (2) Analyze and synthesize data in order to model physical, chemical, biological, and engineering systems; (3) Apply physics-informed neural networks (PINNs) to model and simulate multiphysics systems. Students should have prior coursework in advanced calculus, linear algebra, probability, and computer programming in Python.
Introduction to product design, molecular and mixture design, functional and formulated product design, design of device products, pharmaceutical product and process design, optimal batch process design strategies, batch process simulation, six-sigma design 1 Course Unit 2026-27 Catalog | Generated 08/03/26
This course provides a comprehensive overview of modern genomics and genome engineering techniques and their applications in basic research and translational medicine. Both classical DNA recombination techniques and CRISPR-mediated genome editing will be discussed. The genomics section will explore next- and third- generation sequencing methods and their applications like RNA-seq and ChIP-seq. Additionally, students will gain hands-on experience with commonly used tools for designing genome editing experiments and analyzing genomics data. Key concepts in genomics and gene regulation will be introduced, with practical examples from development, stem cells, disease models, and synthetic biology, highlighting how engineering techniques transform and advance these fields.
This course focuses on applications of rheology to polymer process technologies. It includes a general review of rheological concepts, including viscoelasticity and the influence of shear rate, temperature and pressure on polymer flow properties. The course covers the elementary processing steps common in various types of polymer manufacturing operations including handling of particulate solids, melting, pressurizing and pumping, mixing and devolatilization. Specific polymer processing operations including extrusion, injection molding, compression molding, fiber spinning and wire coating are covered. Emerging polymer processing applications in microelectronics, biomedical devices and recycling are also discussed.
Students will explore current topics in thermodynamics through molecular simulations and molecular modeling. The requisite statistical mechanics will be conveyed as well as the essential simulation techniques (molecular dynamics, Monte Carlo, etc.). Various approaches for calculating experimentally measurable properties will be presented and used in student projects. Students should have basic familiarity with statistical mechanics.
Course Editing and Engineering Units CBE 5540 Engineering Biotechnology 2 CBE 5570 Stem Cells, Proteomics and Drug Delivery -
and Analysis
This course aims to teach fundamental CBE concepts such as transport and statistical mechanics from a nanoscopic point of view, with an emphasis on utility in CBE laboratory and simulation settings. The focus will be on microscopic dynamics and transport in soft systems such as nanoparticles and polymers, relevant to biological and biomolecular systems. We will use a combination of both analytic and numerical methods to facilitate understanding of key concepts. Physical topics will include stochastic, single-molecule, non-ideal, hard sphere and frustrated systems, phase transitions, non-equilibrium statistical mechanics and optics. Concepts will include stochastic calculus (Gaussian and non- Gaussian statistics, correlation functions and power spectra), Fourier methods, convolution, the Central Limit theorem, anomalous diffusion, percolation, and the Fluctuation/Dissipation theorem. Computational methods will concentrate on Monte Carlo simulations of a variety of soft matter "toy" models.
This course provides an overview of fundamental concepts in colloid and interface science. Topics include the thermodynamics of interfaces, interfacial interactions (e.g. van der Waal's interactions, electrostatics, steric interactions), adsorption, the hydrodynamics and stability of interfacial systems, self assembly, etc. Connections to self-assembly and directed assembly of nanomaterials and emerging topics are explored. concepts of transport phenomena (including fluid flow and mass transfer) and differential equations
This course aims to provide theoretical and conceptual principles underlying biomolecular and biological systems. The course will start with basic and advanced concepts in physical chemistry and thermodynamics and introduce statistical mechanics as a tool to understand molecular interactions. The applications will be of relevance to bioengineering and biology disciplines. The course will not shy away from mathematical formulations and will stress the molecular perspective. This course explores physical biology of the cell across several length and timescales, while simultaneously emphasizing molecular specificity and clinical implications such as disease outcome or biomedical applications. The course emphasizes how the basic tools and insights of engineering, physics, chemistry, and mathematics can illuminate the study of molecular and cell biology to make predictive biomedical models and subject them to clinical validation. Drawing on key examples and seminal experiments from the current bioengineering literature, the course demonstrates how quantitative models can help refine our understanding of existing biological data and also be used to make useful clinical predictions. The course blends traditional models in cell biology with the quantitative approach typical in engineering, in order to introduce the student to both the possibilities and boundaries of the emerging field of physical systems biology. While teaching physical model building in cell biology through a practical, case-study approach, the course explores how quantitative modeling based on engineering principles can be used to build a more profound, intuitive understanding of cell biology. Worksheets will be integral to this course. Recitation wil comprise of biweekly illustrations of problems and concepts from the worksheets and biweekly quizzes
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A survey of heterogeneous catalysis as applied to some of the most important industrial processes. The tools used to synthesize and l characterize practical catalysts will be discussed, along with the industrial processes that use them.
In this course, students will work on case studies for soft matter solutions to problems of societal significance. Examples will be drawn from the pharmaceuticals industry, emerging concepts in carbon capture, process intensification, clean energy, personal care and other fields that exploit our ability to design soft matter systems. The course will take the form of discussions to set societal context, lectures (including guest lecturers who are technical innovators in the field) to provide fundamental underpinnings, and student-led case studies of current approaches in which students critique current solutions and propose competing approaches. This course is designed with students in the junior or senior year in mind. The course is designed to be co-requisite with transport phenomena (CBE 3510 or equivalent), separations (CBE 3710 or equivalent), and thermodynamics (CBE 2310 or equivalent).
This course offers an understanding of protein engineering using advanced tools and its applications in the biotechnology field. Throughout the semester, students will delve into the principles of protein structure, folding, and the various techniques used in protein engineering. Emphasis will be placed on the application of directed evolution, rational design, and computer-aided methods to optimize and develop proteins with novel functionalities in the biotechnology field. The course also integrates the latest computational tools such as PDB, Chimera, SPRITE, Dali, and AlphaFold, which are essential for modern protein engineering. Students will engage in journal club presentations to critically analyze current research and its applications in protein engineering. The course will culminate in student-led projects, where participants will apply their knowledge to design and present innovative solutions to real-world biotechnological challenges. Prerequisite: A basic knowledge of the proteins.
2026-27 Catalog | Generated 08/03/26
Nano-science and engineering approaches to systems in biology are of growing importance. They extend from novel methods, especially microscopies that invite innovation to mathematical and/or computational modeling which incorporates the physics and chemistry of small scale biology. Proteins and DNA, for example, are highly specialized polymers that interact, catalyze, stretch and bend, move, and/or store information. Membranes are also used extensively by cells to isolate, adhere, deform, and regulate reactions. In this course, students will become familiar with cell & molecular biology and nano- biotechnology through an emphasis on nano-methods, membranes, molecular machines, and 'polymers' - from the quantitative perspectives of thermodynamics, statistical physics, and mechanics. We specifically elaborate ideas of energetics, fluctuations and noise, force, kinetics, diffusion, etc. on the nano- thru micro- scale, drawing from very recent examples in the literature. Laboratory experiments will provide hands- on exposure to microscopies in a biological context (eg. fluorescence down to nano-scale, AFM), physical methods (eg. micromanipulation, tracking virus-scale particles or quantum dots), and numerical problems in applied biophysics, chemistry, and engineering. A key goal of the course is to familiarize students with the concepts and technology (plus their limitations) as being employed in current research problems in nanoscale systems biology, extending to nanobiotechnology. with coursework in Thermodynamics or permission of the instructor.
This course surveys the biochemistry and biochemical unit operations involved in the commercial production of modern wines. Topics will include grape growing, pressing, fermentation , filtration, and packaging/ aging. Emphasis will also be placed on yeast microbiology and wine biochemistry. Lectures will be supported by wine tasting sessions to highlight the important characteristics of different wine types.
This course provides theoretical, conceptual, and hands-on modeling experience on three different length and time scales - (1) electronic structure (A, ps); (2) molecular mechanics (100A, ns); and (3) deterministic and stochastic approaches for microscale systems (um, sec). Students will gain hands-on experience, i.e., running codes on real applications together with the following theoretical formalisms: molecular dynamics, Monte Carlo, free energy methods, deterministic and stochastic modeling, multiscale modeling. Prerequisite: Undergraduate courses in numerical analysis and physical chemistry. Not Offered Every Year Also Offered As: BE 5590, SCMP 5590 1 Course Unit
Globally, 2 billion people lack access to clean, safe water that is vital for drinking, sanitation, and agriculture. Climate change coupled with contamination of existing water supplies have exacerbated water scarcity, making technologies to remediate, reuse, and desalinate water more critical than ever. This course will cover the fundamental principles of water treatment engineering and examine how it can be applied to ensure access to safe and clean water, mitigate waterborne diseases, protect the environment, and support sustainable development. Water treatment engineering is the application of scientific and engineering principles to design, develop, and implement processes and technologies to purify and manage water resources for specific quality and safety standards. We will explore a wide range of water engineering technologies used in drinking water treatment, wastewater remediation, resource recovery, and desalination. Fundamental principles and advanced concepts governing water treatment systems will be introduced with a particular focus on the application of fundamental engineering sciences including thermodynamics, mass transport, and fluid dynamics to examine the efficiency of treatment and utilization of energy/emissions required for treatment. In addition to the engineering and scientific aspects of water treatment, this course will also place emphasis on the important humanitarian and economic aspects of water engineering and discuss global issues on water quality, scarcity, and environmental justice. Course content includes: (1) an overview of water engineering and its significance in environmental, societal, industrial, an municipal contexts, (2) a review of key concepts from fluid mechanics, mass transfer, and thermodynamics, (3) a brief introduction to water chemistry and contaminants of importance for human health and ecosystem protection, (4) the key physio-chemical and thermodynamic principles underlying all water treatment processes, (5) analysis of specific unit operations used in municipal water treatment, wastewater treatment, and desalination including membrane processes; and (6) an overview of advanced treatment operations for specific industrial and emerging applications. Also Offered As: MEAM 5620 1 Course Unit University of Pennsylvania Catalog 1261
Intro to Drug Discovery; Overview of Pharmaceutical Industry and Drug Development Costs, Timelines; High Throughput Screening (HTS): Assay Design and Sensitivity Solid Phase Synthesis and Combinatorial Chemistry; Enzyme Kinetics; Fluorescence, Linearity, Inner-filter effect, quenching; Time dynamics of a Michaelis-Menton Reaction; Competitive Inhibitor; FLINT, FRET, TRF, FP, SPA, alpha-screen; Enzyme HTS (protease); Cell based screening; Fura-2 ratio, loading signaling; Gfpcalmodulin-gfp integrated calcium response; Estrogen/ERE-Luc HTS; Problems with cell based screening (toxicity, permeability, nonspecificity); Instrumentation, Robotics/Automation; Z-factor; SAR, Positioning Scanning; Microarray HTS; IC50, % Conversion in HTS and IC50, Assay Optimization.
Experimentation in Soft Materials Research -Theory and Practice
The Earth has finite resources and ecological limits. Meeting the basic needs of a growing population—such as food, water, energy, and housing—while staying within planetary limits requires us to understand and mitigate the environmental impacts of engineered systems. Life cycle assessment (LCA) is the analytical framework that enables this understanding. LCA provides a systematic way to quantify the environmental and human health impacts of a product, process, or service across its entire life cycle from raw material extraction, through manufacturing, distribution, use, and end-of-life. In this course, we will study methods and tools for environmental and economic analysis, with an emphasis on large-scale civil systems. By the end of this course, students will: Understand the core principles of life cycle thinking and sustainability; Learn not what to think, but how to think critically and ask the right questions; Gain practical experience with current methods, software tools, and datasets—such as openLCA and the Federal LCA Commons—needed to quantify and mitigate environmental impacts; Develop an understanding of the environmental and economic consequences of large-scale engineered systems, including buildings and infrastructure, energy, and transportation; and Develop the ability to conduct full LCAs, including inventory development, impact assessment, sensitivity and uncertainty analysis, and life cycle costing. Prior background in general chemistry, environmental science, basic statistics, and spreadsheet-based analysis is expected.
Track Electives 6 Total Course Units 10 The core courses represent 4 credit units and the track electives represent 6 credit units. Students must take at least 6 credit units-- between the core and electives--within SEAS courses. Those SEAS programs are: BE, BIOT, CBE, CIS/CIT, EAS, ENGR, ENM, ESE, IPD, MSE, & MEAM (http://www.seas.upenn.edu/about-seas/department- chairs.php). If a course is cross-listed, students must take the SEAS version of it for it to count toward this 6 SEAS course requirement. While some courses may fit into multiple course requirements, students must take a total of 10 credit units and may not double-count courses across the Biotechnology curriculum. Double counting may be allowed in dual degree majors, accelerated programs and other select cases. Please see an advisor for more information. Additionally, students may not take cross-listed twice under different course codes and count these toward the degree twice. Students may take up to two (2) EAS courses toward the degree. EAS 8960 and EAS 8970 do not count toward the 10 CUs for the program. Students are also limited to two (2) IPD courses and three (3) BIOT 5990 courses toward the degree. Penn Engineering Master's Philadelphia Campus students may not take courses listed with an Online Campus. Note that Penn Engineering courses with an Online Campus have a section number of 501 or 3 higher. However, students in the BIOT Master’s program are permitted to enroll in HCIN 6000+courses. Students may waive the lab requirement by following the program's workflow. Students who waive the lab will still need to take a class for this requirement, but it can be any course from SEAS (BE, BIOT, CBE, CIS/CIT, EAS, ENGR, ENM, ESE, IPD, MSE, & MEAM (http:// www.seas.upenn.edu/about-seas/department-chairs.php)).
This laboratory course--only for Accelerated Masters in Biotechnology students--is designed to offer hands-on training to students across a diverse array of biotechnology topics. The experiments encompass techniques such as CRISPR/Cas9, Western blotting, protein production from cells, protein purification by chromatography, immobilized enzyme reactions and operation of a fed-batch bioreactor with yeast. Throughout the course, students engage in writing several individual technical memos and submitting weekly data analysis assignments. The culmination of the lab involves a group presentation and report on a new biotechnology technique. Emphasis is placed on enhancing both oral and written communication skills to improve overall technical communication proficiency. This course aims to equip students with practical skills and knowledge essential for success in the dynamic field of biotechnology.
This course introduces the scientific and engineering principles underlying mRNA vaccines and therapeutics, emphasizing product-focused design and preclinical evaluation. Students learn the molecular biology, biochemistry, immunology, pharmacology, and formulation science required to design mRNA-based products within an industry-relevant framework. Topics include mRNA lifecycle and structural elements, codon optimization, nucleotide modification, lipid nanoparticle (LNP) formulation, critical quality attributes (CQAs), analytical characterization, and in vitro potency and reactogenicity testing. The course culminates in the design of an mRNA construct using a web-based portal, submission for manufacturing, and laboratory-based testing of the manufactured product. Students prepare a comprehensive Target Product Profile (TPP) and final technical report integrating design rationale, quality attributes, experimental results, and preclinical performance.Fall1 Course Unit
tbd
The main objective of this course is to teach concepts and implementation of deep learning techniques for scientific and engineering problems to advanced undergraduate and graduate students. This course entails various methods, including theory and implementation of deep leaning techniques to solve a broad range of computational problems frequently encountered in solid mechanics, fluid mechanics, non destructive evaluation of materials, systems biology, chemistry, and non-linear dynamics. At the end of the course participants will be able to: (1) Understand the underlying theory and mathematics of deep learning; (2) Analyze and synthesize data in order to model physical, chemical, biological, and engineering systems; (3) Apply physics-informed learning to model and simulate multiphysics systems. Recommended prerequisites (not mandatory): - Linear algebra: MATH 3120 -Probability: MATH 1510/CIS 2610/ESE 3010/ENM 5030/STAT 5100 -Experience with computer programming of Python
The course will focus on advanced concepts and methods in statistical mechanics with a particular emphasis on the liquid state, e.g. aqueous solutions, capillarity, polymers, colloids, glasses, amphiphilic self-assembly, etc. Principles of both equilibrium and non- equilibrium statistical mechanics will be discussed and connections to experimentally measurable quantities will be made wherever possible.
The CBE Teaching Pedagogy Apprenticeship course is a one-year structured experience. The program pairs graduate students interested in academic or teaching-focused careers with faculty mentors and integrates two components: a Pedagogical Seminar and an Apprenticeship Experience. The semester-long discussion-based pedagogical seminar explores key domains of effective teaching, such as curriculum design and pedagogy, assessment and feedback, student engagement and development, equity and access in learning, technology- enhanced instruction, and educational research and evaluation. The apprenticeship experience is a guided face-to-face teaching practicum where participants assist in undergraduate/graduate courses, gradually taking responsibility for lesson design, classroom facilitation, and student feedback under faculty supervision. Together, these experiences help participants connect theoretical principles of learning with practical application. Two Term Class, Student must enter first term; credit given after both terms are complete 0.5 Course Units
The CBE Teaching Pedagogy Apprenticeship course is a one-year structured experience. The program pairs graduate students interested in academic or teaching-focused careers with faculty mentors and integrates two components: a Pedagogical Seminar and an Apprenticeship Experience. The semester-long discussion-based pedagogical seminar explores key domains of effective teaching, such as curriculum design and pedagogy, assessment and feedback, student engagement and development, equity and access in learning, technology- enhanced instruction, and educational research and evaluation. The apprenticeship experience is a guided face-to-face teaching practicum where participants assist in undergraduate/graduate courses, gradually taking responsibility for lesson design, classroom facilitation, and student feedback under faculty supervision. Together, these experiences help participants connect theoretical principles of learning with practical application. Two Term Class, Student must enter first term; credit given after both terms are complete 0.5 Course Units
2 CU's of Electives
CBE 6210
This course provides a unified introduction to momentum, energy (heat), and mass transport processes. The basic mechanisms and constitutive laws for the various transport processes will be delineated , and the conservation equations will be derived and applied to internal and external flows. Examples from mechanical, chemical, and biological systems will be used to illustrate fundamental concepts and mathematical methods.
Seminar (minimum 4 semesters)
2026-27 Catalog | Generated 08/03/26
2 CIS 6770
Total Course Units 19 in University PhD Benchmarks In addition to Program requirements, the following milestones must be completed: Code Title Course
For students working on an advanced research program leading to the completion of master's thesis.
CIS 6730
Source: University of Pennsylvania's catalog, linked per course · table learning_unit · CourseShelf publish 59
