Biomedical Engineering, MS

On Campus

Abstract image of human muscular system

Biomedical engineering, a multi-disciplinary field, is behind some of the most important medical breakthroughs today. Working closely together, engineers, scientists, mathematicians, and physicians have developed artificial organs, internal and external prosthetics, multiple imaging modalities, and diagnostic and therapeutic devices. Biomedical engineering has significantly contributed to improved health care and quality of life.

The MS program in Biomedical Engineering merges course work from Tandon’s engineering, mathematics and computer science departments along with research opportunities with faculty from Tandon School of Engineering, NYU Medical, Dental and Nursing Schools; and other NYU-affiliated schools and hospitals to create a degree path that matches a student’s BME career objectives.

The Biomedical Engineering MS program offers three tracks that reflect the discipline’s major areas of involvement. These are:

  1. Biomaterials
  2. Medical Imaging
  3. Bioinstrumentation

About the Program

The principal objective for the program is to provide an educational environment and experience for students to acquire the analytical skills required to perform academic or industrial activities that result in technological innovations. The two specific programmatic goals include:

  • Providing each student with an individualized, advanced course of study that delivers the analytical tools to perform fundamental and applied research in each track’s focus area.
  • Obtaining the requisite technical knowledge that can be applied
    to management, marketing, sales and other entrepreneurial activities related to biomedical engineering.

The program’s three MS degree tracks include specific course sequences that ensure that a student is prepared to pursue a career in their field of interest. Further, within each track, students can elect to pursue either a “course only” option or a “research thesis” option that includes doing research in laboratories at Tandon’s School of Engineering; NYU Medical, Dental and Nursing Schools; and other NYU-affiliated schools and hospitals; or with selected collaborative investigators in NYC Medical Centers and institutions.


The BME MS program will consider applications for admission from students with a BS/BA or a more advanced degree in either chemical, mechanical, electrical engineering; computer engineering or science; physics; mathematics, chemistry; biological sciences; bioengineering or biotechnology. We also consider applications from students with medical, dental, nursing and legal degrees.

The program requires that all applicants must have taken two semesters of college-level calculus and two semesters of calculus- based physics. It further highly recommends that each student’s undergraduate preparation include the following sequence of math and science courses:

  • 1 semester of linear algebra
  • 1 semester of ordinary differential equations
  • 1 semester of multivariable calculus
  • 2 semesters of biology with labs
  • 2 semesters of general chemistry with labs

For those focusing on the Biomaterials track, additional background in organic chemistry and biochemistry is desirable. For those choosing the Medical Imaging or Bioinstrumentation tracks, additional advanced mathematics courses, e.g. complex variables, partial differential equations are recommended. Though not required, exposure to CAD, Matlab, computer programming is highly desirable.

For International Students: 
Applications can only be considered from international students who have completed all of the undergraduate math and science courses listed above.

For Domestic Students: 
Applicants pursuing a career change and lacking some of the undergraduate courses listed above may be admitted conditionally if they present a strong record of achievement in their undergraduate field of study and agree to enroll in the missing undergraduate courses to raise their level of knowledge so that they are better prepared for the analytically rigorous course work that is part of the BME MS program. Such undergraduate courses do not count toward the MS degree’s credit requirements.


Curriculum

The Biomedical Engineering MS program offers 3 tracks:

  • Biomaterials Track
  • Medical Imaging Track
  • Bioinstrumentation Track

Each track includes 2 options. The first specifies course requirements that include a thesis option and a second that specifies courses only. If you choose the master’s thesis option, you must register for at least 3 credits of BE 997X and then write and defend a master’s thesis according to Institute guidelines. You will also be required to take CM 5040

To meet graduation requirements in your chosen track, you must achieve an overall B average in all courses (including MS thesis, research, or guided studies) and must not have more than two grades of C in required (core) subjects.


Required Courses

3 Credits Molecular Immunology BE-GY6013
This course familiarizes students with the body of research that underpins the present understanding of the molecular basis and the cellular interactions that regulate the immune responses. The principal learning tool is the reading and discussion of research papers in immunology by a small group of students supervised by a faculty member, who is active in the specific research area. Topics covered include antibody structure, B-cell development, T-cell structure and development, T-cell-MHC interaction, MHC structure and antigen processing, complement chemistry, complement and Fc receptor structure and function, transplantation immune-genetics, mucosal immunology and allergic reactions.
Prerequisite: Undergraduate biochemistry.
3 Credits Anatomy, Physiology, & Biophysics I BE-GY6103
Anatomy and Physiology are the sciences that identify body structures and how they function and interact, respectively. Therefore, academic training for biomedical engineering must include a sound, comprehensive knowledge of human anatomy and physiology. While the course emphasizes normal functions, it also considers the consequences of disease and injury and deals with the body's potential for recovery and compensation. The Biophysics' component examines the underlying physical principles of organ function. Part I of this two-part sequence focuses on Cell Physiology and Homeostasis, Cardiac, Nervous, and Respiratory systems. The course will be taught using a "systems engineering" approach and introduce the design considerations for artificial organs. The material includes hands-on demonstration of technology to measure EEGs, EKG and respiratory function.
Prerequisite(s): Calculus, biochemistry, introductory gross and cellular anatomy.
3 Credits Anatomy, Physiology, & Biophysics II BE-GY6113
Part II of this sequence focuses on the muscular, skeletal, renal and endocrine systems and includes discussions on skin and basic oncology. This part is taught using a “systems” approach and link concepts from BE-GY 6013. The material includes hands-on demonstration of technology to measure EMG.
Prerequisites: BE-GY 6013.

G23.2303 Intro to Biostatistics, Credits: 4.00
or
G23.2030 Statistics in BiologyI, Credits: 4.00
3 Credits Materials in Medicine BE-GY6703
The course focuses on the basic principles behind human-tissue response to artificial surfaces and materials; the general types of polymeric and metallic materials used in soft- and hard-tissue replacements; tissue engineering and drug-delivery devices; current approaches to the engineering of cell-based replacement for various tissues; techniques to control the physiologic response to artificial surfaces; critical review of current biomaterials literature; current research in the field; and evaluation of the design criteria that a material must meet for a given biological application and what is required for “biocompatibility.”
Prerequisites: Introductory undergraduate courses in biology, chemistry and physiology. Courses in polymers, biochemistry, molecular/cellular biology and immunology are helpful but are not essential.
3 Credits Orthopedic Biomechanics and Biomaterials BE-GY6753
The course provides fundamental knowledge of the relevant background science, theory, practice and materials required to provide modern orthopedic and trauma care. Students learn about biomaterials used in orthopedics and how materials engineering has made them increasingly sophisticated. The course covers important clinical applications as well as fundamental concepts in biomechanics of bone and other tissues; materials used; wear and corrosion during use; dental implants; joint-replacement devices; stress-strain analysis, beam theory; introduction to finite element analysis design for prosthesis; and more.
Prerequisite: Calculus with ordinary diff. eq.; BE-GY 6703 Materials in Medicine.
3 Credits Protein Engineering BE-GY9433
This course introduces the modern protein engineering techniques that allow researchers to understand protein structure and function and to create new proteins for many purposes. This new field is at the interface of
chemistry, biology and engineering. The first part of the course discusses the protein composition and structure, various genetic, biochemical and chemical techniques required to engineer proteins, which is followed by specific topics. Topics include designing proteins that are highly structured; that are active
at high temperatures and in non-aqueous solvents; that interact selectively
with other proteins, small molecules and nucleic acids for therapeutic purposes; and that catalyze new reactions.
Prerequisite: CM-GY 9413 or adviser’s approval.
3 Credits Tissue Engineering BE-GY9443
This courses teaches basic biological processes that occur during blood contact with artificial surfaces; how to critically read and review literature on tissue engineering; how to anticipate biocompatibility issues with a variety of implant devices students may later encounter; current approaches directed toward the engineering of cell-based replacements for various tissue types.
Prerequisite: Adviser’s approval.

Taken once per year: 
Colloquium in Biomedical Engineering BE-GY9730
Engineers and scientists from industry and academia present recent developments in biomedical engineering. Two and four semesters are required for master’s and PhD students, respectively.
Prerequisite: None.
Seminar in Biomedical Engineering BE-GY9740
Students present research findings if engaged in MS or PhD thesis research, or make presentations from their critical analysis of recent biomedical-engineering publications. The seminar gives students the opportunity to prepare a scientific presentation on a biomedical-engineering topic of interest and to speak before their peers, who will question them.

Electives

Choose 6 credits from the list of electives below. With permission from a graduate adviser, you may substitute a course not listed. Alternatively, you may elect to take research in biomedical engineering courses (873x, 3 to 6 credits) without writing a thesis.

Research

MS Thesis in Biomedical Engineering BE-GY997X
The thesis for the master’s degree in biomedical engineering should report the results of an original investigation of problems in biomedical engineering or application of physical, chemical or other scientific principles to biomedical engineering. The thesis may involve experimental research, theoretical analyses or process designs, or combinations of them. Master’s degree candidates are required to submit four unbound copies to advisers before the seventh Wednesday before commencement. Registration of at least 9 credits required.
Prerequisite: Degree status.


Required Courses

3 Credits Anatomy, Physiology, & Biophysics I BE-GY6103
Anatomy and Physiology are the sciences that identify body structures and how they function and interact, respectively. Therefore, academic training for biomedical engineering must include a sound, comprehensive knowledge of human anatomy and physiology. While the course emphasizes normal functions, it also considers the consequences of disease and injury and deals with the body's potential for recovery and compensation. The Biophysics' component examines the underlying physical principles of organ function. Part I of this two-part sequence focuses on Cell Physiology and Homeostasis, Cardiac, Nervous, and Respiratory systems. The course will be taught using a "systems engineering" approach and introduce the design considerations for artificial organs. The material includes hands-on demonstration of technology to measure EEGs, EKG and respiratory function.
Prerequisite(s): Calculus, biochemistry, introductory gross and cellular anatomy.
3 Credits Anatomy, Physiology, & Biophysics II BE-GY6113
Part II of this sequence focuses on the muscular, skeletal, renal and endocrine systems and includes discussions on skin and basic oncology. This part is taught using a “systems” approach and link concepts from BE-GY 6013. The material includes hands-on demonstration of technology to measure EMG.
Prerequisites: BE-GY 6013.
3 Credits Biomedical Imaging I BE-GY6203
This course introduces the physics, instrumentation and signal-processing methods used in X-ray imaging (projection radiography), X-ray computed tomography, nuclear medicine (SPECT/PET), ultrasound imaging and magnetic resonance imaging. Also listed under: EL-GY 6813

Prerequisites: Undergraduate level courses in multivariable calculus (MA-UY 2112 & MA-UY 2122 or MA-UY 2114), physics (PH-UY 2033), probability (MA-UY 3012), signals and systems (EE-UY 3054). Students who do not have prior courses in signals ans systems must take EL-GY 6113 / BE-GY 6403 - Digital Signal Processing I as a prerequisite or must obtain instructor's approval; EL-GY 6123 - Image and Video Processing is also recommended but not required.
BE-GY6223 Please refer to the bulletin for more information
3 Credits Probability and Stochastic Processes BE-GY6453
Continuous and discrete random variables and their joint probability distribution and density functions; Functions of one random variable and their distributions; Independent random variables and conditional distributions; One function of one and two random variables; Two functions of two random variables and their joint density functions; Jointly distributed discrete random variables and their functions; Characteristic functions and higher order moments; Covariance, correlation, orthogonality; Jointly Gaussian random variables; Linear functions of Gaussian random variables and their joint density functions. Stochastic processes and the concept of Stationarity; Strict sense stationary (SSS) and wide sense stationary (WSS) processes; Auto correlation function and its properties; Poisson processes and Wiener processes; Stochastic inputs to linear time-invariant (LTI) systems and their input-output autocorrelations; Input-output power spectrum for linear systems with stochastic inputs; Minimum mean square error estimation (MMSE) and orthogonality principle; Auto regressive moving average (ARMA) processes and their power spectra. Co-listed as EL-GY 6303.
Prerequisites: Graduate status
3 Credits Applied Mathematics in Engineering CBE-GY6153
This course covers mathematical formulation of chemical engineering problems in terms of ordinary, partial differential and differential equations. Topics include solutions of boundary and initial value problems using Green’s functions and other techniques; characterization of second-order partial differential equations and properties of their solutions; asymptotic methods and numerical techniques.
Prerequisite: MA-UY 2122 and MA-UY 2132 or adviser’s approval.
3 Credits Digital Signal Processing I BE-GY6403
Discrete and continuous-time linear systems. Z-transform. Fourier transforms. Sampling. Discrete Fourier transform (DFT). Fast Fourier transform (FFT). Digital filtering. Design of FIR and IIR filters. Windowing. Least squares in signal processing. Minimum-phase and all-pass systems. Digital filter realizations. Matlab programming exercises.

 

Taken once per year:

Colloquium in Biomedical Engineering BE-GY9730
Engineers and scientists from industry and academia present recent developments in biomedical engineering. Two and four semesters are required for master’s and PhD students, respectively.
Prerequisite: None.
Seminar in Biomedical Engineering BE-GY9740
Students present research findings if engaged in MS or PhD thesis research, or make presentations from their critical analysis of recent biomedical-engineering publications. The seminar gives students the opportunity to prepare a scientific presentation on a biomedical-engineering topic of interest and to speak before their peers, who will question them.

Electives

Choose 6 credits from the list of electives below. With permission from a graduate adviser, you may substitute a course not listed. Alternatively, you may elect to take research in biomedical engineering courses (873x, 3 to 6 credits) without writing a thesis.

Research

MS Thesis in Biomedical Engineering BE-GY997X
The thesis for the master’s degree in biomedical engineering should report the results of an original investigation of problems in biomedical engineering or application of physical, chemical or other scientific principles to biomedical engineering. The thesis may involve experimental research, theoretical analyses or process designs, or combinations of them. Master’s degree candidates are required to submit four unbound copies to advisers before the seventh Wednesday before commencement. Registration of at least 9 credits required.
Prerequisite: Degree status.


Required Courses

3 Credits Anatomy, Physiology, & Biophysics I BE-GY6103
Anatomy and Physiology are the sciences that identify body structures and how they function and interact, respectively. Therefore, academic training for biomedical engineering must include a sound, comprehensive knowledge of human anatomy and physiology. While the course emphasizes normal functions, it also considers the consequences of disease and injury and deals with the body's potential for recovery and compensation. The Biophysics' component examines the underlying physical principles of organ function. Part I of this two-part sequence focuses on Cell Physiology and Homeostasis, Cardiac, Nervous, and Respiratory systems. The course will be taught using a "systems engineering" approach and introduce the design considerations for artificial organs. The material includes hands-on demonstration of technology to measure EEGs, EKG and respiratory function.
Prerequisite(s): Calculus, biochemistry, introductory gross and cellular anatomy.
3 Credits Anatomy, Physiology, & Biophysics II BE-GY6113
Part II of this sequence focuses on the muscular, skeletal, renal and endocrine systems and includes discussions on skin and basic oncology. This part is taught using a “systems” approach and link concepts from BE-GY 6013. The material includes hands-on demonstration of technology to measure EMG.
Prerequisites: BE-GY 6013.
3 Credits Bio-optics BE-GY6303
Recent growth in using optics technology for biomedical research and health care has been explosive. New applications are made possible by emerging technologies in lasers, optoelectronic devices, fiber optics, physical and chemical sensors and imaging—all of which are now applied to medical research, diagnostics and therapy. This sequence course on optics for biomedical students combines fundamental knowledge of the generation and interaction of electromagnetic waves with applications to the biomedical field. The goal is for this approach is to provide tools for researchers in bio-physics and to familiarize researchers, technologists and premed students with cutting-edge approaches.
Prerequisite(s): An undergraduate course in physics that includes electricity, magnetism and waves such as PH-UY 2023, an undergraduate course in physics that includes electricity, magnetism and waves such as PH-UY 2023 and multivariable calculus such as MA-UY 2122 and MA-UY 2122.
3 Credits Probability and Stochastic Processes BE-GY6453
Continuous and discrete random variables and their joint probability distribution and density functions; Functions of one random variable and their distributions; Independent random variables and conditional distributions; One function of one and two random variables; Two functions of two random variables and their joint density functions; Jointly distributed discrete random variables and their functions; Characteristic functions and higher order moments; Covariance, correlation, orthogonality; Jointly Gaussian random variables; Linear functions of Gaussian random variables and their joint density functions. Stochastic processes and the concept of Stationarity; Strict sense stationary (SSS) and wide sense stationary (WSS) processes; Auto correlation function and its properties; Poisson processes and Wiener processes; Stochastic inputs to linear time-invariant (LTI) systems and their input-output autocorrelations; Input-output power spectrum for linear systems with stochastic inputs; Minimum mean square error estimation (MMSE) and orthogonality principle; Auto regressive moving average (ARMA) processes and their power spectra. Co-listed as EL-GY 6303.
Prerequisites: Graduate status
3 Credits Biomedical Instrumentation BE-GY6503
This course gives an overview on the theory, design and application of biomedical instrumentation used for dagnosis, monitoring, treatment and scientific study of physiological systems. The objective of this course is to enable students to design, build and test useful circuits, and to interface them with a computer using a data acquisition system for further signal analysis and processing. Cross-listed with BE-GY 6503.
Prerequisite: EE-UY 2024 or equivalent course in circuits, programming experience.
3 Credits Applied Mathematics in Engineering CBE-GY6153
This course covers mathematical formulation of chemical engineering problems in terms of ordinary, partial differential and differential equations. Topics include solutions of boundary and initial value problems using Green’s functions and other techniques; characterization of second-order partial differential equations and properties of their solutions; asymptotic methods and numerical techniques.
Prerequisite: MA-UY 2122 and MA-UY 2132 or adviser’s approval.
3 Credits Digital Signal Processing I BE-GY6403
Discrete and continuous-time linear systems. Z-transform. Fourier transforms. Sampling. Discrete Fourier transform (DFT). Fast Fourier transform (FFT). Digital filtering. Design of FIR and IIR filters. Windowing. Least squares in signal processing. Minimum-phase and all-pass systems. Digital filter realizations. Matlab programming exercises.

Taken once per year:

Colloquium in Biomedical Engineering BE-GY9730
Engineers and scientists from industry and academia present recent developments in biomedical engineering. Two and four semesters are required for master’s and PhD students, respectively.
Prerequisite: None.
Seminar in Biomedical Engineering BE-GY9740
Students present research findings if engaged in MS or PhD thesis research, or make presentations from their critical analysis of recent biomedical-engineering publications. The seminar gives students the opportunity to prepare a scientific presentation on a biomedical-engineering topic of interest and to speak before their peers, who will question them.

Electives

Choose 6 credits the list of electives below. With permission from a graduate adviser, you may substitute a course not listed. Alternatively, you may elect to take research in biomedical engineering courses (873x, 3 to 6 credits) without writing a thesis.

Research

MS Thesis in Biomedical Engineering BE-GY997X
The thesis for the master’s degree in biomedical engineering should report the results of an original investigation of problems in biomedical engineering or application of physical, chemical or other scientific principles to biomedical engineering. The thesis may involve experimental research, theoretical analyses or process designs, or combinations of them. Master’s degree candidates are required to submit four unbound copies to advisers before the seventh Wednesday before commencement. Registration of at least 9 credits required.
Prerequisite: Degree status.


Courses available to students pursuing an MS degree in either the Biomaterials, Medical Imaging or Bioinstrumentation tracks.

3 Credits Molecular Immunology BE-GY6013
This course familiarizes students with the body of research that underpins the present understanding of the molecular basis and the cellular interactions that regulate the immune responses. The principal learning tool is the reading and discussion of research papers in immunology by a small group of students supervised by a faculty member, who is active in the specific research area. Topics covered include antibody structure, B-cell development, T-cell structure and development, T-cell-MHC interaction, MHC structure and antigen processing, complement chemistry, complement and Fc receptor structure and function, transplantation immune-genetics, mucosal immunology and allergic reactions.
Prerequisite: Undergraduate biochemistry.
3 Credits Cellular and Molecular Neuroscience BE-GY6023
This course provides a comprehensive overview of cellular neuroscience and consists of 20 lectures and two exams. The course is divided into three parts: (1) the physiology and biophysics of neurons; (2) neuronal signal transduction, gene expression and transport of RNA and protein; and (3) synaptic transmission and plasticity. The textbook is Fundamental Neuroscience by Zigmond, Bloom, Landis, Roberts and Squire. Supplementary readings are from other textbooks and journal articles.
Prerequisites: CM-GY 9506 or its equivalent and undergraduate biochemistry.
3 Credits Biomedical Imaging I BE-GY6203
This course introduces the physics, instrumentation and signal-processing methods used in X-ray imaging (projection radiography), X-ray computed tomography, nuclear medicine (SPECT/PET), ultrasound imaging and magnetic resonance imaging. Also listed under: EL-GY 6813

Prerequisites: Undergraduate level courses in multivariable calculus (MA-UY 2112 & MA-UY 2122 or MA-UY 2114), physics (PH-UY 2033), probability (MA-UY 3012), signals and systems (EE-UY 3054). Students who do not have prior courses in signals ans systems must take EL-GY 6113 / BE-GY 6403 - Digital Signal Processing I as a prerequisite or must obtain instructor's approval; EL-GY 6123 - Image and Video Processing is also recommended but not required.
3 Credits Biomedical Imaging II BE-GY6213
This course introduces the mechanisms and concepts related to image acquisition and subsequent image processing and image formation in biomedical imaging modalities. Building on material covered in Biomedical Imaging I, these courses focus on advanced topics such as functional magnetic resonance imaging (MRI), ultrasound imaging, biomagnetic imaging and optical tomographic imaging (OTI). Co-listed as EL-GY 6823.
Prerequisite: BE-GY 6203 (Biomedical Imaging 1, B).
BE-GY6223 Please refer to the bulletin for more information
3 Credits Bio-optics BE-GY6303
Recent growth in using optics technology for biomedical research and health care has been explosive. New applications are made possible by emerging technologies in lasers, optoelectronic devices, fiber optics, physical and chemical sensors and imaging—all of which are now applied to medical research, diagnostics and therapy. This sequence course on optics for biomedical students combines fundamental knowledge of the generation and interaction of electromagnetic waves with applications to the biomedical field. The goal is for this approach is to provide tools for researchers in bio-physics and to familiarize researchers, technologists and premed students with cutting-edge approaches.
Prerequisite(s): An undergraduate course in physics that includes electricity, magnetism and waves such as PH-UY 2023, an undergraduate course in physics that includes electricity, magnetism and waves such as PH-UY 2023 and multivariable calculus such as MA-UY 2122 and MA-UY 2122.
3 Credits Digital Signal Processing I BE-GY6403
Discrete and continuous-time linear systems. Z-transform. Fourier transforms. Sampling. Discrete Fourier transform (DFT). Fast Fourier transform (FFT). Digital filtering. Design of FIR and IIR filters. Windowing. Least squares in signal processing. Minimum-phase and all-pass systems. Digital filter realizations. Matlab programming exercises.
3 Credits Probability and Stochastic Processes BE-GY6453
Continuous and discrete random variables and their joint probability distribution and density functions; Functions of one random variable and their distributions; Independent random variables and conditional distributions; One function of one and two random variables; Two functions of two random variables and their joint density functions; Jointly distributed discrete random variables and their functions; Characteristic functions and higher order moments; Covariance, correlation, orthogonality; Jointly Gaussian random variables; Linear functions of Gaussian random variables and their joint density functions. Stochastic processes and the concept of Stationarity; Strict sense stationary (SSS) and wide sense stationary (WSS) processes; Auto correlation function and its properties; Poisson processes and Wiener processes; Stochastic inputs to linear time-invariant (LTI) systems and their input-output autocorrelations; Input-output power spectrum for linear systems with stochastic inputs; Minimum mean square error estimation (MMSE) and orthogonality principle; Auto regressive moving average (ARMA) processes and their power spectra. Co-listed as EL-GY 6303.
Prerequisites: Graduate status
3 Credits Digital Signal Processing Laboratory BE-GY6483
This course includes hands-on laboratory experiments, lectures and projects relating to real-time, digital signal processing (DSP) systems using a DSP microprocessor. Students gain experience in implementing common algorithms used in a variety of applications and learn tools and functions important for designing DSP-based systems. Students are required to complete a project and give an oral presentation. This course is suitable for students interested in DSP and Embedded Systems. Co-listed with EL-GY 6183.
Prerequisites: EL-GY 6113 or Equivalent, C/C++.
3 Credits Biomedical Instrumentation BE-GY6503
This course gives an overview on the theory, design and application of biomedical instrumentation used for dagnosis, monitoring, treatment and scientific study of physiological systems. The objective of this course is to enable students to design, build and test useful circuits, and to interface them with a computer using a data acquisition system for further signal analysis and processing. Cross-listed with BE-GY 6503.
Prerequisite: EE-UY 2024 or equivalent course in circuits, programming experience.
3 Credits Drug Delivery BE-GY6603
The course provides an integrated approach to the basic and clinical science of drug delivery. Topics: the history drug delivery; kinds of drugs to be delivered, including genes and proteins; various targeting mechanisms; transport phenomena and thermodynamic concepts; pharmacokinetics and pharmacodynamics of drug delivery, polymeric drug-delivery systems; various devices developed for controlled delivery.
Prerequisite: calculus with ordinary diff. eq.; undergraduate courses in biology, chemistry and physiology (minimum grade B).
3 Credits Principles of Chemical and Biochemical Systems BE-GY6653
This is an introductory course that is restricted for graduate students who have not had any undergraduate chemistry courses. It focuses on fundamental knowledge of chemical and biochemical reactions. Students learn structure and function of biological molecules such as proteins, carbohydrates and DNA. They master basic concepts of structure-property relationships of macromolecules. Chemistries critical to biosensor technologies such as linking biological molecules to various supports, is described. Students appreciate and understand the wide range of chemical and biological molecules critical to living systems.
Prerequisite: Instructor’s permission.
3 Credits Materials in Medicine BE-GY6703
The course focuses on the basic principles behind human-tissue response to artificial surfaces and materials; the general types of polymeric and metallic materials used in soft- and hard-tissue replacements; tissue engineering and drug-delivery devices; current approaches to the engineering of cell-based replacement for various tissues; techniques to control the physiologic response to artificial surfaces; critical review of current biomaterials literature; current research in the field; and evaluation of the design criteria that a material must meet for a given biological application and what is required for “biocompatibility.”
Prerequisites: Introductory undergraduate courses in biology, chemistry and physiology. Courses in polymers, biochemistry, molecular/cellular biology and immunology are helpful but are not essential.
3 Credits Orthopedic Biomechanics and Biomaterials BE-GY6753
The course provides fundamental knowledge of the relevant background science, theory, practice and materials required to provide modern orthopedic and trauma care. Students learn about biomaterials used in orthopedics and how materials engineering has made them increasingly sophisticated. The course covers important clinical applications as well as fundamental concepts in biomechanics of bone and other tissues; materials used; wear and corrosion during use; dental implants; joint-replacement devices; stress-strain analysis, beam theory; introduction to finite element analysis design for prosthesis; and more.
Prerequisite: Calculus with ordinary diff. eq.; BE-GY 6703 Materials in Medicine.
BE-GY8713 Please refer to the bulletin for more information
BE-GY8733 Please refer to the bulletin for more information
3 Credits Protein Engineering BE-GY9433
This course introduces the modern protein engineering techniques that allow researchers to understand protein structure and function and to create new proteins for many purposes. This new field is at the interface of
chemistry, biology and engineering. The first part of the course discusses the protein composition and structure, various genetic, biochemical and chemical techniques required to engineer proteins, which is followed by specific topics. Topics include designing proteins that are highly structured; that are active
at high temperatures and in non-aqueous solvents; that interact selectively
with other proteins, small molecules and nucleic acids for therapeutic purposes; and that catalyze new reactions.
Prerequisite: CM-GY 9413 or adviser’s approval.
3 Credits Tissue Engineering BE-GY9443
This courses teaches basic biological processes that occur during blood contact with artificial surfaces; how to critically read and review literature on tissue engineering; how to anticipate biocompatibility issues with a variety of implant devices students may later encounter; current approaches directed toward the engineering of cell-based replacements for various tissue types.
Prerequisite: Adviser’s approval.
3 Credits Bioethics Seminar BE-GY9753
This graduate-level seminar course discusses the ethical issues relevant to today’s bioengineers and molecular and cell biologists. Topics include: Darwin’s theory of evolution; science and religion in twentieth-century America; Intelligent Design Theory; social Darwinism and the concomitant rise of eugenics in Europe and the U.S., the ways in which molecular genetics has challenged historical categories of race; the ethical, social, and legal implications of the Human Genome Project (specifically genetic privacy and testing, human genes and intellectual property); argo-biotechnology and the science, ethics, and politics of genetically modified organisms (GMOs); and the science, politics, and ethics of human-embryonic-stem-cell research. The student is encouraged to think about the way in which debates concerning “nature versus nurture” have been framed historically, in order to understand current controversies over that distinction.
3 Credits Applied Mathematics in Engineering CBE-GY6153
This course covers mathematical formulation of chemical engineering problems in terms of ordinary, partial differential and differential equations. Topics include solutions of boundary and initial value problems using Green’s functions and other techniques; characterization of second-order partial differential equations and properties of their solutions; asymptotic methods and numerical techniques.
Prerequisite: MA-UY 2122 and MA-UY 2132 or adviser’s approval.
3 Credits Computer Vision and Scene Analysis CS-GY6643
An important goal of artificial intelligence is to equip computers with the capability to interpret visual inputs. Computer vision and scene analysis is an AI area that deals with constructing explicit, meaningful descriptions of physical objects from images. It includes many techniques from image processing, pattern recognition, geometric modeling and cognitive processing. This course introduces the many techniques and applications of computer vision and scene analysis.
Prerequisites: Graduate standing, CS-GY 5403 and MA-UY 2012, or equivalents, or instructor’s permission.
EL-GY5013 Please refer to the bulletin for more information
3 Credits Mathematical Modeling in Biology MA-GY6283
This course covers: Linear and nonlinear difference equations for population growth and propagation. Stability. Competitive systems. Growth of microorganisms. Steady states in chemostats. Predator-prey models. Populations of infectious diseases. Michaelis-Menten kinetics. Cooperative reactions. Hodgkin-Huxlley equations. Fitzhugh-Nagumo model of nerve impulses. Conservation equations. Convection and diffusion of species. Transport in axon. Slime molds. Aggregation. Morphogenesis.
Prerequisite: MA-UY 2122, MA-UY 2132.
3 Credits Special Topics ME-GY7863
These course numbers are reserved for special topics offered periodically by the Mechanical Engineering Program and are open to first-year graduate students. When offered, the subject matter is indicated as part of the title after the words “Special Topics,” and the complete title appears on the student’s transcript.
Prerequisite: tailored to the offering.
Prerequisite: Graduate standing or advisor approval
3 Credits Physical Concepts of Polymer Nanocomposites PH-GY6403
This course presents fundamental aspects of polymer nanocomposites and updates on recent advancements and modern applications. Topics include nanostructured materials; assembly at interfaces; interactions on surfaces; properties of polymer nanocomposites; reliability; nanodevices.

G23.2303 Intro to Biostatistics, Credits: 4.00

G23.2030 Statistics in Biology, Credits: 4.00