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    Jul 03, 2024  
2024-2025 Binghamton University Academic Guide 
  
2024-2025 Binghamton University Academic Guide

Courses


 

Biology

  
  • BIOL 573 - Ecology Lab


    Credits: 2

    Field and lab exercises in organismal, population, and community ecology with emphasis on the collection, analysis, and interpretation of quantitative ecological data. Will include field sampling methods, factorial experiments, population growth modeling, and student-designed exercises. Prerequisite: Consent of instructor

    Course Fees Course fee applies. Refer to the Schedule of Classes.
  
  • BIOL 576 - Population Ecology


    Credits: 4

    Population growth and regulation, including competition, herbivory, predation, disease, facilitation and mutualism. Ecophysiology, adaptations to the environment and responses of organisms and populations to environmental change. Lectures, readings, field and laboratory exercises. Prerequisite: BIOL 355 (or 373).

    Course Fees Course fee applies. Refer to the Schedule of Classes.
  
  • BIOL 580A - Seminar Topics


    Credits: 2

    Topics vary from semester to semester and are in specialized areas. So long as course topics change, BIOL 580 may be repeated for credit. Emphasis is on library and Internet research and oral presentation. Prerequisites vary.

  
  • BIOL 580B - Seminar Topics


    Credits: 2

    Topics vary from semester to semester and are in specialized areas. So long as course topics change, BIOL 580 may be repeated for credit. Emphasis is on library and Internet research and oral presentation. Prerequisites vary.

  
  • BIOL 580C - Seminar Topics


    Credits: 2

    Topics vary from semester to semester and are in specialized areas. So long as course topics change, BIOL 580 may be repeated for credit. Emphasis is on library and Internet research and oral presentation. Prerequisites vary.

  
  • BIOL 580D - Seminar Topics


    Credits: 2

    Topics vary from semester to semester and are in specialized areas. So long as course topics change, BIOL 580 may be repeated for credit. Emphasis is on library and Internet research and oral presentation. Prerequisites vary.

  
  • BIOL 580I - Seminar Topics


    Credits: 2

    Topics vary from semester to semester and are in specialized areas. So long as course topics change, BIOL 580 may be repeated for credit. Emphasis is on library and Internet research and oral presentation. Prerequisites vary.

  
  • BIOL 580J - Seminar Topics


    Credits: 2

    Topics vary from semester to semester and are in specialized areas. So long as course topics change, BIOL 580 may be repeated for credit. Emphasis is on library and Internet research and oral presentation. Prerequisites vary.

  
  • BIOL 580K - Seminar Topics


    Credits: 2

    Topics vary from semester to semester and are in specialized areas. So long as course topics change, BIOL 580 may be repeated for credit. Emphasis is on library and Internet research and oral presentation. Prerequisites vary.

  
  • BIOL 580L - Seminar Topics


    Credits: 2

    Topics vary from semester to semester and are in specialized areas. So long as course topics change, BIOL 580 may be repeated for credit. Emphasis is on library and Internet research and oral presentation. Prerequisites vary.

  
  • BIOL 580Q - Seminar Topics


    Credits: 2

    Topics vary from semester to semester and are in specialized areas. So long as course topics change, BIOL 580 may be repeated for credit. Emphasis is on library and Internet research and oral presentation. Prerequisites vary.

  
  • BIOL 580R - Seminar Topics


    Credits: 2

    Topics vary from semester to semester and are in specialized areas. So long as course topics change, BIOL 580 may be repeated for credit. Emphasis is on library and Internet research and oral presentation. Prerequisites vary.

  
  • BIOL 580S - Seminar Topics


    Credits: 2

    Topics vary from semester to semester and are in specialized areas. So long as course topics change, BIOL 580 may be repeated for credit. Emphasis is on library and Internet research and oral presentation. Prerequisites vary.

  
  • BIOL 580T - Seminar Topics


    Credits: 2

    Topics vary from semester to semester and are in specialized areas. So long as course topics change, BIOL 580 may be repeated for credit. Emphasis is on library and Internet research and oral presentation. Prerequisites vary.

  
  • BIOL 580V - Seminar Topics


    Credits: 2

    Topics vary from semester to semester and are in specialized areas. So long as course topics change, BIOL 580 may be repeated for credit. Emphasis is on library and Internet research and oral presentation. Prerequisites vary.

  
  • BIOL 583B - Special Topics in Biology


    Credits: 4

    Topics vary from semester to semester and are in specialized areas such as cancer biology, microbial ecology, mechanisms of microbial pathogenesis, neurodegeneration and ethoinformatics. May be repeated for credit. Prerequisites vary.

  
  • BIOL 583I - Special Topics in Biology


    Credits: 4

    Topics vary from semester to semester and are in specialized areas such as cancer biology, microbial ecology, mechanisms of microbial pathogenesis, neurodegeneration and ethoinformatics. May be repeated for credit. Prerequisites vary.

  
  • BIOL 583J - Special Topics in Biology


    Credits: 4

    Topics vary from semester to semester and are in specialized areas such as cancer biology, microbial ecology, mechanisms of microbial pathogenesis, neurodegeneration and ethoinformatics. May be repeated for credit. Prerequisites vary.

  
  • BIOL 583L - Special Topics in Biology


    Credits: 4

    Topics vary from semester to semester and are in specialized areas such as cancer biology, microbial ecology, mechanisms of microbial pathogenesis, neurodegeneration and ethoinformatics. May be repeated for credit. Prerequisites vary.

  
  • BIOL 583Q - Special Topics in Biology


    Credits: 4

    Special Topics course.

  
  • BIOL 583V - Special Topics In Biology


    Credits: 4

    Topics vary from semester to semester and are in specialized areas such as cancer biology, microbial ecology, mechanisms of microbial pathogenesis, neurodegeneration and ethoinformatics. May be repeated for credit. Prerequisites vary.

  
  • BIOL 585 - Internship


    Credits: 4

    Internship involving work that specifically requires a strong biological background but not involving laboratory or fieldwork, usually off campus, that is not independent research. The graduate committee must approve in advance both the proposed work and the off-campus supervisor. If the student has taken BIOL 495, this internship may not be an extension of that same internship. The student must write a proposal before approval, keep a log during the work and submit a written report after the experience that includes library research for background. Prerequisite: consent of the graduate committee. Pass/Fail only.

  
  • BIOL 591 - College Teaching


    Credits: Variable

    May be taken by teaching assistants or fellows as necessary. Course credit, but no grade.

  
  • BIOL 597 - Independent Study


    Credits: Variable

    Special training in subjects not offered in courses. Requires consent of instructor and filling out a contract for independent research/work. This course designation may be used only for eight credits with student’s major advisor as instructor, and only for 1 in a degree program. Proper designation for thesis or dissertation research is BIOL 599 or 699.

  
  • BIOL 597A - Independent Study


    Credits: Variable

    Special training in subjects not offered in courses. Requires consent of instructor and filling out a contract for independent research/work. This course designation may be used only for eight credits with student’s major advisor as instructor, and only for 1 in a degree program. Proper designation for thesis or dissertation research is BIOL 599 or 699.

  
  • BIOL 599 - Thesis


    Credits: Variable

    Independent work and preparation of MS thesis on approved problem. Credit granted only after student’s committee approves thesis.

  
  • BIOL 602Q - Topics in EEB


    Credits: 1

    Discussion-based graduate course on current topics in Ecology, Evolution and Behavior. Readings in recent literature; invited speakers. Topics vary during semester and between semesters.

  
  • BIOL 680G - Grant Writing


    Credits: 2

    Topics vary from semester to semester and are in specialized areas. In recent years, the following topics have been given one or more times: career-building (How to Write a Grant Proposal, Research Strategies for Biologists, Teaching Issues for Biologists, workshops in University Science Education); research (AIDS, Cell Death, Co-Evolution, Cognitive Ethology, Disease and Immune Response, Epithelial Cell Evolution and Development, Foundations in Behavior, Hypothermia, Immunology, Macroevolution, Microbial Physiology, Molecular Evolution, Multilevel Selection, Phycology, Proteolysis, Sensory Ecology, Sociobiology). May be repeated for credit. Prerequisite: consent of instructor.

  
  • BIOL 680M - MA Capstone I


    Credits: 2

    This course is intended for those in the MA in Biology program. Students will initiate their project, a requirement for the degree. The course will include the development of professional skills, such as oral and written communication, and critical thinking. The course will also explore current ethical issues, and opportunities for professional practice and career advancement. Course is Pass/Fail only.

  
  • BIOL 680X - Departmental Seminar Series


    Credits: 1

    Biol 680x is a one-credit graduate course centered around the Department of Biological Sciences’s weekly seminar series. Students attend our department’s normal Friday afternoon seminar series throughout the semester alongside faculty, postdocs, and senior graduate students. Enrollees in 680x also engage with the research presented in the seminar each week by reading and reflecting the primary literature provided by each week’s speaker. The seminar features a combination of external and internal speakers that present on a wide range of research topics. One of the major purposes of 680x is to broaden student’s perspectives of the life sciences. Attendance is required (for two semesters) for MA and PhD graduate students.

  
  • BIOL 683B - Topics in Biology


    Credits: 4

    Topics in Biology

  
  • BIOL 696 - Research In Biology


    Credits: Variable

    Original laboratory or field research leading to preparation of dissertation prospectus. May be taken only by PhD-track students prior to admission to candidacy for doctor of philosophy degree. Prerequisite: consent of instructor. s.

  
  • BIOL 699 - Dissertation Research


    Credits: Variable

    Independent work and preparation of PhD dissertation on approved problem and taken after admission to PhD candidacy. Credit granted only after student’s committee approves dissertation. s.

  
  • BIOL 700 - Continuous Registration


    Credits: Variable

    Required for maintenance of matriculated status in graduate program for students temporarily not actively engaged in research or writing. Four-semester () limit. No credit toward graduate degree requirements.


Business Law and Society

  
  • BLS 111 - Legal Environment of Management I


    Credits: 3

    The Legal Environment of Management I course is an introductory study of the nature and role of law, and its relation to businesses. Substantive areas business law are studied including: ciminal law, torts, contracts, the illegality, employment and labor law, and other areas. Procedural aspects of civil and criminal cases are reviewed. Offered fall and spring semesters.

  
  • BLS 112 - Legal Environment of Management II


    Credits: 3

    Legal Environment of Management II builds on the introductory business law content covered in BLS 111. In this advanced course students will learn about legal issues relevant to everyday business meetings. This includes laws relating to agency, insurance, real property, employment, corporations, etc. Underpinning the entire course will be the concept of professional responsibility and ethics. Offered fall and spring semesters.

    Prerequisites BLS 111


Biomedical Engineering

  
  • BME 201 - Intro to Biomedical Eng


    Credits: 3

    “This is an introductory course for biomedical engineering undergraduate students. It covers topics such as recombinant DNA technologies, cell and tissue engineering, stem cell and organ regeneration, 3D tissue and organ printing, the design of tissue engineered products, biomaterial and tissue scaffolding, drug delivery, biomechanics, bioinstrumentation, engineering of immunity, and bio and medical imaging, etc. The application of nano-biotechnology in developing clinical products such as tissue engineered products, drug delivery systems, etc. will be emphasized in the course. Prerequisite: PHYS 131, Math 225. Co-requisite BIOL 113.

    Prerequisites Prerequisites: BME 201, CHEM 111, BIOL 113, MATH 324 or 371. hours. Spring semester.”

  
  • BME 295 - BU Science Internship


    Credits: Variable

    The course provides academic credit for BU science participants. BU Science is a campus organization that teaches weekly, 30 minute science, technology, engineering, and math (STEM) modules at local elementary schools. This is a program designed to advance the education of and encourage K-12 students into STEM fields as well as provide public speaking and teaching experience to BU participants.

  
  • BME 303 - Bio-fluid Mechanics


    Credits: 3

    This course is a core course for biomedical engineering undergraduates. This course introduces students to basic understanding and analysis of macro and microscopic phenomena of fluid mechanics with special emphasis on applications of fluid mechanics to biomedical systems. Fluid flows in biomedical systems mediate the transport of energy, mass and momentum, which is essential to the function of living systems. Perturbations in these processes often underlie disease development. Course topics expand from from the basic properties of fluids, the physics of fluid flow, to cardiovascular fluid mechanics, pulmonary gas exchange, and renal blood flow and sodium transport. Prerequisites: PHYS 131 , MATH 227, BME 318.

  
  • BME 313 - Biomaterials


    Credits: 3

    This is an introductory biomaterials course for biomedical engineering undergraduate students. The course covers the primary biomaterial types including metals, ceramics, polymers, carbons, and composites as well as their uses in biomedical devices and implants. The application of these materials in tissue engineering, drug delivery, orthopedic implants, ophthalmologic devices, and cardiovascular devices will be particularly discussed. The biological response to implanted materials is emphasized in the course in terms of inflammation, immunity, infection, and toxicity. The regulatory biomedical device approval process is introduced as a natural extension of biocompatibility testing. Prerequisites: BIOL 113, CHEM 231 , BME 213.

  
  • BME 318 - Biomechanics


    Credits: 3

    This course introduces students to concepts of engineering mechanics required to understand the structure and movement of biological systems. This course will deal primarily with explaining biomechanics from a continuum mechanics perspective. The course covers topics such as concepts of tensorial stress and strain, constitutive equations, mechanical properties of biosolid materials, viscoelasticity, torsion, and bending. The course also introduces topics specifically relevant to biological materials such as anisotropy, heterogeneity and failure mechanics. In addition to exploring fundamental engineering mechanics, this course will also enable students to apply these engineering principles to relevant real world biomedical problems. Prerequisites: PHYS 131 , MATH 227.

  
  • BME 324 - Biomedical Instruments


    Credits: 4

    This is an introductory course for biomedical engineering undergraduates. It covers topics such as bioelectric signals, biomedical electronics, biomedical electrodes and sensors, instrumentation in diagnostic cardiology, extracorporeal devices, Instrumentation in blood circulation, and new technologies and advances in medical instrumentation. The course includes weekly labs to demonstrate the principles learned in class. The labs cover biosignal recording (finger pulse, ECG, EEG, and EMG), nerve conduction study, Wheatstone bridge circuit, and Op-Amp and filter circuits. Prerequisites: BME 201, BME 203, BME 213, PHYS 132.

  
  • BME 330 - Biothermodynamics


    Credits: 3

    This course introduces the fundamental principles of thermodynamics and its applications on biomolecules and systems in life science. Topics covered include energy and its transformation, the first law and second laws of thermodynamics, the Gibbs free energy, statistical thermodynamics, binding equilibria, and reaction kinetics. Each topic has been organized to be highly relevant to biology and biochemistry in living organisms. Lecture 3 hours per week. Prerequisite: MATH 323, MATH 324, PHYS 131.

  
  • BME 340 - Bioinformatics & Biostatistics


    Credits: 3

    This course introduces students to Biostatistics and Bioinformatics. The course covers the basic methods utilized to statistically analyze and present biological data using R programming language. Current tools, databases, and technologies in bioinformatics are discussed in this course. Topics include random variables and probability distributions, hypothesis testing and statistical inference, ANOVA, sequence alignment and database searching, DNA sequencing, and BLAST. Prerequisites: BIOL 113 , BME 203.

  
  • BME 351 - Biomedical Engineering Lab


    Credits: 1

    This is a lab-based, complimentary course for biomedical engineering junior undergraduate students pertaining to principles of biomaterials, biomechanics, biomolecular engineering, and biofluidics. This lab course is designed to cover biomaterials, biomechanics, biomolecular engineering, and biofluidic mechanics in order to formulate and solve problems in biomedical systems including experimental design, performance, and analysis. Prerequisites: BME 213 , BME 324, BME 318 . Co-requisite: BME 303. Spring Semester.

    Course Fees Course fee applies. Refer to the Schedule of Classes.
  
  • BME 401 - Python for Biomedical Analysis


    Credits: 3

    The course offers students the basics of Python with a focus on biomedical data analysis. The course covers the fundamentals of Python Programming, such as data types, control structures, functions, object-oriented programing, and modules. In addition, the course introduces students to biomedical data manipulation, visualization, and analysis using popular Python libraries, including. but not limited to. NumPy, Matplotlib, and Scikit-Learn. By the end of the course, students will gain a strong foundation for Python programming for biomedical data analysis and will be able to apply skills learned from this course to real-world biomedical datasets. Offered in the summer.

  
  • BME 413 - Biomedical Transport Phenomena


    Credits: 3

    This course combines both fundamental engineering with physics and life sciences principles to provide focused coverage of key momentum and mass transport phenomena relevant to biomedical engineering. This course covers topics including thermodynamics, the physical principles of body fluids and cell membranes, molecular motors, cellular mechanics, solute and oxygen transport, pharmokinetic transport and extracorporeal devices such as blood oxygenators, hemodialysis and enzyme reactors. The course will also explore the design of modern day bioartifical organs. The goal of the lecture course is to emphasize the chemical and physical transport phenomena essential for biological life and the design and development of contemporary biomedical devices relevant to transport. Prerequisites: BME 303, BME 318, BME 330.

  
  • BME 420 - Biomed Devices & Diagnostics


    Credits: 3

    This is an advanced course for biomedical engineering undergraduates and beginning graduate students. The course covers studies of significant medical devices with a discussion of appropriate physiology, system design, biocompatibility issues, and clinical need. Details on technological function and administration of diagnosis and/or therapy are covered along with standard requirements from organizations. Prerequisites: BME 324 and BME 351.

  
  • BME 424 - Bioimaging


    Credits: 3

    This is an introduction to biomedical imaging systems for biomedical engineering senior undergraduate students and graduate students. The course covers biomedical imaging with an emphasis on fundamental principles and applications of each modern imaging modality including X-ray radiography, computed tomography (CT), nuclear medicine (SPECT and PET), magnetic resonance imaging (MRI), and ultrasound. Lecture 3 hours per week. Prerequisite: BME 324.

  
  • BME 428 - Biophotonics&Image Processing


    Credits: 3

    Description: It covers advanced topics in biophotonics, including physical optics, tissue optics, and digital image acquisition and formats. Additional topics include modern optical imaging technologies, Raman spectroscopy, super-resolution microscopy, optogenetics, photoacoustic tomography, photodynamic therapy, and live-cell imaging microscopy. The course will also cover fundamentals and methods for digital image processing, featuring applications in biological and medical diagnosis. Students are required to have basic skills in MATLAB programming. In addition, the course will include a discussion of bias and unfairness that unintentionally generated in imaging processing and discuss best practices on how to identify and overcome them. Prerequisites: BME 324 and BME 351.

  
  • BME 432 - Ethics in Engineering


    Credits: 3

    Our goal on offering this course is to bring contextual understanding of the fundamental relationships between professional responsibility and damage wrought by natural disasters. We have chosen Hurricane Katrina, as it is still very relevant today yet sufficient time has passed such that careful analysis of the storm and its aftermath is underway. While the course focuses upon the profession of engineering, it is equally as relevant for students entering a vast array of professions. We seek to move students understanding of the tragic occurrence of disasters such as Hurricane Katrina from a purely analytical one to an understanding that can begin to lead to empathy and ultimately compassion. For it is our belief that such compassion can and will lead to more enlightened, courageous future leaders willing to act in the face of imminent threat whatever professions our students decide to pursue. Co-requisite: BME 450.

  
  • BME 433 - Human Physiology


    Credits: 3

    An introduction to the major organ systems of the body with an emphasis on regulatory processes and interactions with other systems. The course provides students with a basic understanding of the prevalent theories of physiology and pathophysiology and the application of these theories to health concerns relevant to biomedical engineering. Prerequisites: BIOL 113 , CHEM 231.

  
  • BME 442 - Nanotechnology & Drug Delivery


    Credits: 3

    The course introduces basics concepts of nanobiotechnologies, including mathematical description of controlled release, and targeted and passive drug delivery. Different types of drug delivery nanotechnologies, including lipid-, polymer-, hydrogel-, and virus-based delivery systems and their application in disease treatments are also covered in this course. Undergraduate Prerequisite: BME213, MATH 324.

  
  • BME 443 - Quantitative Instr Bioanalysis


    Credits: 3

    This is an advanced, elective course for biomedical engineering undergraduates and beginning graduate students. Quantitative instrumental bioanalysis is an overview course including various instrumental bioanalysis principles and methods commonly used in the pharmaceutical industries and biomedical research. The current biotechnologies based on these instrumental analyses are discussed along with the strategy of the quality control in the healthcare industry. The course focuses on the principles and practical application of the analytical instruments used for quantitative analysis in medicine, healthcare, and biomedical research.

  
  • BME 444 - Undergraduate Course Assistant


    Credits: Variable

    This course is for Undergraduate Course Assistants (UCAs). UCAs are responsible for offering additional instructional assistance to students without compromising academic honesty policies. Prerequisite Instructor Approval.

  
  • BME 450 - Biomedical Eng Design I


    Credits: 3

    This is the first part of the culminating design experience for biomedical engineering undergraduate students. Students are challenged to design, and deliver design solutions to open ended problems of interest to the biomedical engineering community. This first course takes the students from problem definition to a finished preliminary design. Prerequisite: Senior standing in Biomedical Engineering BME 318, BME 351. Co-requisite: BME 413. Fall Semester.

    Course Fees Course fee applies. Refer to the Schedule of Classes.
  
  • BME 451 - Biomedical Eng Design II


    Credits: 3

    This is the second part of the culminating design experience for biomedical engineering undergraduate students. Students are challenged to design, and deliver design solutions to open ended problems of interest to the biomedical engineering community. This second course takes the students from a finished preliminary design to implementation, evaluation, redesign and a finished project including a formal technical report and oral presentation. Prerequisite: BME 450 . Spring Semester.

    Course Fees Course fee applies. Refer to the Schedule of Classes.
  
  • BME 453 - Biomed Data Man & Reg Science


    Credits: 3

    This is a lecture-based course for biomedical engineering senior undergraduate students and graduate students interested in big data management as it relates to healthcare systems. Some of the topics in this course include biomedical data acquisition, data mining methodologies, information processing, healthcare systems, and FDA regulations. Students will use various computational tools to manipulate large data sets as part of homework assignments and projects. Prerequisite: BME 340.

  
  • BME 463 - Bioprocess Engineering


    Credits: 3

    This course introduces engineering concepts for biological conversion of raw materials to pharmaceuticals, fuels, and chemicals. Includes enzyme kinetics and technology; bioreactor kinetics; design, analysis, control, and sterilization of bioreactors and fermenters; genetic engineering of organisms to generate commercially-relevant products; and downstream product processing. Prerequisites: CHEM 231, BME 213.

  
  • BME 470 - Advanced Bioinformatics


    Credits: 3

    This course is a continuation of Biostatistics and Bioinformatics (BME 340). The course covers advanced topics in modern bioinformatics. Topics include, advanced database searching and sequence alignment, molecular phylogeny and evolution, analysis of next-generation sequence data, microarray, data analysis, protein analysis and proteomics, and personalized medicine and drug design. The course includes computer labs as part of the lectures that cover computational tools used to analyze genomic and proteomic data. Prerequisites: BME 340.

  
  • BME 472 - Expermntal Design & Stat Anyls


    Credits: 3

    This is an advanced course for biomedical engineering senior undergraduates. It covers topics such as experimental design and hypothesis testing, ANOVA, MANOVA, linear and multiple regression, generalized linear modeling, principal component analysis, clustering, sampling methods, and bioinformatics. Prerequisites: BME203 , MATH 323.

  
  • BME 473 - Adv Biomat & Biocompatibility


    Credits: 3

    This is an advanced course for biomedical engineering senior undergraduate students. The course covers topics such as material mechanical and surface properties, material degradation mechanisms, and microparticles and nanoparticles. These topics are discussed with a focus on cardiovascular, orthopedic, ophthalmological and dental. Additionally, the biological response to materials is covered in-depth including inflammation, thrombosis, and immunity. Prerequisite: BME 313.

  
  • BME 480A - Special Topics


    Credits: 3

    This course is designed for students who want to learn the basics of Python with a focus on biomedical data analysis. The course covers the fundamentals of Python programming, such as data types, control structures, functions, object-oriented programming, and modules. The course introduces students to popular Python libraries, including but not limited to NumPy, Pandas, Matplotlib, and Scikit-Learn, are used for biomedical data manipulation, visualization, and analysis. By the end of the course, students will gain a strong foundation in Python programming for biomedical data analysis and will be able to apply skills learned from this course to real-world biomedical datasets. Prerequisites: BME 340 or instructor approval.

  
  • BME 483 - Tissue Engineering


    Credits: 3

    This course introduces Tissue Engineering approaches at genetic and molecular, cellular, tissue, and organ levels. Topics include cell and tissue in vitro expansion, tissue organization, signaling molecules, stem cell and stem cell differentiation, organ regeneration, biomaterial and matrix for tissue engineering, bioreactor design for cell and tissue culture, clinical implementation of tissue engineered products, and tissue-engineered devices. Prerequisites: BME 313, BME 201, BIOL113. Co-requisite: BME 433.

  
  • BME 484 - Al in Biomed Engineering


    Credits: 3

    This is a lecture-based course for biomedical engineering students interested in learning and applying artificial intelligence (AI) approaches to real-world biomedical problems. The course focuses on principles of a number of AI and machine learning tools such as clustering, regression, decision trees, random forests and neural networks and their applications in various areas of biomedical engineering, such as biomedical data analysis, disease diagnosis, clinical risk stratification, disease progression modeling, patient outcome prediction, and phenotype and biomarker discovery. Students will use various computational tools to manipulate large data sets as part of homework assignments and projects. Prerequisites: MATH 227 (Cal II), BME 203 and BME 340 or instructor approval.

  
  • BME 491 - Honors Research


    Credits: Variable

    This course is designed to enrich students’ research experience and to offer in- depth training in a special field. Students enrolled in this course are required to conduct honors thesis study. The students must propose a research project in conjunction with a faculty advisor who will sponsor the work. Upon the completion of the honors thesis study, the students are required to write and defend their honors theses.

  
  • BME 499 - Undergraduate Research


    Credits: Variable

    Student research under the supervision of a faculty member. Prior to enrolling in the course, a form must be completed and signed by 1) the student, 2) the professor supervising the research, and 3) the Director of Undergraduate Studies. Prerequisites: Approval of proposed research projects by the professor supervising the research. Fall/Spring Semesters.

  
  • BME 501X - Python for Biomedical Analysis


    Credits: 3

    This course offers students basics of the Python with a focus on biomedical data analysis. The course covers the fundamentals of Python programming, such as data types, control structures, functions, object-oriented programming, and modules. In addition, the course introduces students to biomedical data manipulation, visualization, and analysis using popular Python libraries including but not limited to NumPy, Pandas, Matplotlib, Scikit- Learn, Biopython, PyMOL, and lifelines, among others. By the end of the course, students will gain a strong foundation in Python programming for biomedical data analysis and will be able to apply skills learned from this course to real-world biomedical datasets. Prerequisites: Instructor approval.

  
  • BME 520 - Biomed Devices & Diagnostics


    Credits: 3

    This is an advanced course for biomedical engineering undergraduates and beginning graduate students. The course covers studies of significant medical devices with a discussion of appropriate physiology, system design, biocompatibility issues, and clinical need. Details on technological function and administration of diagnosis and/or therapy are covered along with standard requirements from organizations. Prerequisites: BME 324 and BME 351, graduate standing in BME, or instructor approval.

  
  • BME 524 - Grad Sem in Complex Science


    Credits: 1

    Weekly seminar series that will serve students as a venue of active discussion on current research topics and interdisciplinary networking. It will be formed using the current Collective Dynamics of Complex Systems seminar series as a structural basis. Faculty, graduate students and external speakers will discuss complex systems related research topics. Students will be required to present either literature review or their own research at least once a semester. Prerequisites: Graduate standing in BME or instructor approval.

  
  • BME 524A - Grad Sem in Complex Science


    Credits: 1

    Weekly seminar series that will serve students as a venue of active discussion on current research topics and interdisciplinary networking. It will be formed using the current Collective Dynamics of Complex Systems seminar series as a structural basis. Faculty, graduate students and external speakers will discuss complex systems related research topics. Students will be required to present either literature review or their own research at least once a semester. Prerequisites: Graduate standing in BME or instructor approval. Levels: Graduate, Undergraduate

  
  • BME 526 - Bioimaging


    Credits: 3

    This is an introduction to biomedical imaging systems for biomedical engineering graduate students. The course covers biomedical imaging with an emphasis on fundamental principles and applications of each modern imaging modality including X-ray radiography, computed tomography (CT), nuclear medicine (SPECT and PET), magnetic resonance imaging (MRI), and ultrasound. Prerequisites: Graduate standing in BME or instructor approval.

  
  • BME 528 - Biophotonics&Image Processing


    Credits: 3

    This course covers advanced topics in biophotonics, including physical optics, tissue optics, and digital image acquisition and formats. Additional topics include modern optical imaging technologies, Raman spectroscopy, super-resolution microscopy, optogenetics, photoacoustic tomography, photodynamic therapy, and live-cell imaging microscopy. The last part of the course will cover fundamentals and methods for digital image processing, featuring applications in biological and medical diagnosis. The course will also include a discussion of unintentionally generated biases in digital imaging processing and medical data analysis and discuss how to identify and overcome them. Students are required to have basic skills in MATLAB programming. Prerequisites: BME 324, BME 351.

  
  • BME 533 - Human Physiology


    Credits: 3

    An introduction to the major organ systems of the body with an emphasis on regulatory processes and interactions with other systems. The course provides students with a basic understanding of the prevalent theories of physiology and pathophysiology and the application of these theories to health concerns relevant to biomedical engineering. Prerequisites: Graduate standing in BME or instructor approval.

  
  • BME 542 - Nanotechnology & Drug Delivery


    Credits: 3

    The course introduces basics concepts of nanobiotechnologies, including mathematical description of controlled release, and targeted and passive drug delivery. Different types of drug delivery nanotechnologies, including lipid-, polymer-, hydrogel-, and virus-based delivery systems and their application in disease treatments are also covered in this course. Prerequisites: Graduate standing in BME or instructor approval.

  
  • BME 543 - Quantitative Instr Bioanalysis


    Credits: 3

    This is an advanced, elective course for biomedical engineering undergraduates and beginning graduate students. Quantitative instrumental bioanalysis is an overview course including various instrumental bioanalysis principles and methods commonly used in the pharmaceutical industries and biomedical research. The current biotechnologies based on these instrumental analyses are discussed along with the strategy of the quality control in the healthcare industry. The course focuses on the principles and practical application of the analytical instruments used for quantitative analysis in medicine, healthcare, and biomedical research. Prerequisite: BME 324 and 351, graduate standing in BME or instructor approval.

  
  • BME 553 - Biomed Data Man & Reg Science


    Credits: 3

    This is a lecture-based course for biomedical engineering senior undergraduate students and graduate students interested in big data management as it relates to healthcare systems. Some of the topics in this course include biomedical data acquisition, data mining methodologies, information processing, healthcare systems, and FDA regulations. Students will use various computational tools to manipulate large data sets as part of homework assignments and projects.

  
  • BME 563 - Bioprocess Engineering


    Credits: 3

    This course introduces engineering concepts for biological conversion of raw materials to pharmaceuticals, fuels, and chemicals. Includes enzyme kinetics and technology; bioreactor kinetics; design, analysis, control, and sterilization of bioreactors and fermenters; genetic engineering of organisms to generate commercially-relevant products; and downstream product processing. Graduate Prerequisites: Graduate standing in BME or instructor approval.

  
  • BME 570 - Advanced Bioinformatics


    Credits: 3

    The course covers advanced topics in modern bioinformatics. Topics include, advanced database searching and sequence alignment, molecular phylogeny and evolution, analysis of next-generation sequence data, microarray data analysis, protein analysis and proteomics, and personalized medicine and drug design. The course includes computer labs as part of the lectures that cover computational tools used to analyze genomic and proteomic data. Prerequisites: BME 340, graduate standing in BME, or instructor approval.

  
  • BME 572 - Expermntal Design & Stat Anyls


    Credits: 3

    This is an advanced course for biomedical engineering graduate students. It covers topics such as experimental design and hypothesis testing, ANOVA, MANOVA, linear and multiple regression, generalized linear modeling, principal component analysis, clustering, sampling methods, and bioinformatics. Prerequisites: Graduate standing in BME or instructor approval.

  
  • BME 573 - Adv Biomat & Biocompatibility


    Credits: 3

    This is an advanced course for biomedical engineering graduate students. The course covers topics including material mechanical and surface properties, material degradation mechanisms, and microparticles and nanoparticles. These topics are discussed with a focus on cardiovascular, orthopedic, ophthalmological, and dental. Additionally, the biological response to materials is covered in-depth including inflammation, thrombosis, and immunity. Prerequisites: Graduate standing in BME or instructor approval.

  
  • BME 583 - Tissue Engineering


    Credits: 3

    This course introduces Tissue Engineering approaches at genetic and molecular, cellular, tissue, and organ levels. Topics include cell and tissue in vitro expansion, tissue organization, signaling molecules, stem cell and stem cell differentiation, organ regeneration, biomaterial and matrix for tissue engineering, bioreactor design for cell and tissue culture, clinical implementation of tissue engineered products, and tissue-engineered devices. Prerequisites: Graduate standing in BME or instructor approval.

  
  • BME 584 - Al in Biomed Engineering


    Credits: 3

    This is a lecture-based course for biomedical engineering students interested in learning and applying artificial intelligence (AI) approaches to real-world biomedical problems. The course focuses on principles of a number of AI and machine learning tools such as clustering, regression, decision trees, random forests and neural networks and their applications in various areas of biomedical engineering, such as biomedical data analysis, disease diagnosis, clinical risk stratification, disease progression modeling, patient outcome prediction, and phenotype and biomarker discovery. Students will use various computational tools to manipulate large data sets as part of homework assignments and projects. Prerequisites: MATH 227 (Cal II), BME 203 and BME 340 or instructor approval.

  
  • BME 584X - Al In Biomed Engineering


    Credits: 3

    This is a lecture-based course for biomedical engineering students interested in learning and applying artificial intelligence (AI) approaches to real-world biomedical problems. The course focuses on principles of a number of AI and machine learning tools such as clustering, regression, decision trees, random forests and neural networks and their applications in various areas of biomedical engineering, such as biomedical data analysis, disease diagnosis, clinical risk stratification, disease progression modeling, patient outcome prediction, and phenotype and biomarker discovery. Students will use various computational tools to manipulate large data sets as part of homework assignments and projects. Prerequisites: MATH 227 (Cal II), BME 203 and BME 340 or instructor approval.

  
  • BME 590 - Grad Seminar in Biomedical Eng


    Credits: 1

    This course serves as the seminar course within the biomedical engineering graduate curriculum, in which seminars on cutting-edge research by biomedical engineering faculty, students, and invited guest speakers will be held. Prerequisites: Graduate standing in BME or instructor approval.

  
  • BME 592 - Teaching Practicum


    Credits: Variable

    Development of effective educational techniques under the guidance of a faculty member.

  
  • BME 594 - Industrial Internship


    Credits: Variable

    Industrial internship experience. Undergraduate and Graduate.

  
  • BME 597 - Independent Study


    Credits: Variable

    Reading and research on special topics for MS students under the direction of a biomedical engineering program faculty member. Students must obtain the consent of a professor, who then determines the description of the study program, number of credits, frequency of meetings, and location.

  
  • BME 598 - Project


    Credits: Variable

    Reading and research on special topics for MS project students under the direction of a biomedical engineering program faculty member. Students must obtain the consent of a professor, who then determines the description of the study program, number of credits, frequency of meetings, and location. Three credits of BME 598 are required for graduation with a termination project-based MS degree.

  
  • BME 599 - Thesis


    Credits: Variable

    Research activity for MS students under the direction of a biomedical engineering program faculty member.

  
  • BME 628 - Optical Instru & Bio App


    Credits: 3

    This course covers essential areas in the field of biomedical optics. First, the key theories of electromagnetic (EM) fields, wave equations, geometrical optics, quantum optics, biophotonics and tissue optics will be refreshed; second, principles and instrumentation of modern lasers, spectroscopy and microscopy for bioimaging will be introduced. Third, several lectures with assigned projects will be given to teach students how to analyze and interpret spectroscopic and microscopic data towards medical diagnosis and therapeutic purposes. Prerequisites: Graduate standing in BME or instructor approval.

  
  • BME 682 - Emerging Methods & App in BME


    Credits: 3

    This is a graduate course designed for students with varied levels of experience in biomedical engineering. The goal is to allow students to become familiar with emerging biomedical sciences and technologies. The course covers the following topics: advanced DNA/RNA/protein engineering technologies, therapeutic product design and development, genome editing, biomaterial development, advanced bioimaging, and case studies in biomedical science and engineering. It offers training in communication skills critical to career development. In addition, the course offers hands-on training to students for them to learn how to apply the emerging methods to solve real world biomedical engineering problems. hour course including two hours of lecture and one hour of lab training. Graduate Standing.

    Course Fees Course fee applies. Refer to the Schedule of Classes.
  
  • BME 690 - Adv Grad Sem & Writing in BME


    Credits: 2

    This course serves as the advanced seminar and graduate writing course within the biomedical engineering graduate curriculum. Students will be introduced to the fundamentals of scientific writing and seminars on cutting-edge research by biomedical engineering faculty, students, and invited guest speakers will be held. Prerequisites: BME 590.

  
  • BME 697 - Advanced Independent Study


    Credits: Variable

    Reading and research on advanced special topics for PhD students under the direction of a biomedical engineering program faculty member. Students must obtain the consent of a professor, who then determines the description of the study program, number of credits, frequency of meetings, and location.

  
  • BME 698 - Predissertation Research


    Credits: Variable

    Supervised research leading to a comprehensive exam.

  
  • BME 699 - Dissertation Research


    Credits: Variable

    Supervised research leading to a doctoral dissertation proposal and defense.

  
  • BME 700 - Continuous Registration


    Credits: Variable

    Required for maintenance of matriculated status in BME graduate program when no other courses are taken. Does not provide credit toward graduate degree requirements.


Col Comm & Public Affairs

  
  • CCPA 220 - General Emergency Preparedness


    Credits: 2

    Emergencies and disasters do not discriminate. They occur on a daily basis and can happen to anyone without warning. With natural and man-made disasters increasing in frequency, it is important for individuals to be prepared for the worst. Students will learn how to properly prepare and respond to different types of disasters in order to better sustain themselves, their families, and their community while also learning campus safety procedures and resources. Offered: winter/summer.

  
  • CCPA 222 - Access,Equity,Engagement,Educ.


    Credits: 4

    Horace Mann, an 18th century American pioneer in public education, said “Education, then, beyond all other devices of human origin, is the great equalizer of the conditions of men, the balance wheel of the social machinery.” While this sentiment has been echoed by many since Horace Mann’s time, the reality on the ground in American public schools is often contrary to this statement, particularly for marginalized populations. This course addresses the question of access and equity in American public education and the ways that policy decisions impact marginalized groups. Do all students receive the same standard of education? What policies and resources determine who has access and to what? The course introduces students to the role that the public education system plays in the lives of American youth from early childhood through post-secondary education. In particular, the course emphasizes the way in which public policy and engagement can impact educational access, equity, and participation of diverse populations in varying ways. Offered: summer.

  
  • CCPA 360 - Reimagining Schools


    Credits: 4

    The COVID-19 pandemic coupled with the ongoing crisis around economic and social inequities has heightened challenges for youth, families, and school staff, creating new opportunities to reimagine schools. This course provides an introduction to Community Schools - a strategy for helping all students, families and communities to thrive. As a designated service-learning course, students will engage in a community-based project related to local community schools with options for education policy research or school-based field work. This course makes explicit connections around Community Schools as a model for sustainable communities; a model for assuring the rights of all constituents through citizenship, rights and cultural belonging; and, as an innovative model that addresses the physical and mental health of youth, families and communities. Cross-listed with CCPA 360. and Spring.

 

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