Twin Cities campus
 
Twin Cities Campus

Medical Device Innovation M.S.

Technological Leadership Institute
College of Science and Engineering
Link to a list of faculty for this program.
Contact Information
Medical Device Innovation Program, Technological Leadership Institute, University of Minnesota, Suite 290 McNamara Alumni Center, 200 Oak St SE, Minneapolis, MN 55455 (612-624-5747; fax: 612-624-7510)
Email: mdi@umn.edu
  • Program Type: Master's
  • Requirements for this program are current for Spring 2018
  • Length of program in credits: 34
  • This program requires summer semesters for timely completion.
  • Degree: Master of Science
Along with the program-specific requirements listed below, please read the General Information section of this website for requirements that apply to all major fields.
The master of science in medical device innovation (MDI) program is an interdisciplinary program administered by the College of Science and Engineering's Technological Leadership Institute (TLI). The program is comprised of courses in the core areas of technology innovation management and medical industry dynamics. Studentsí experiences are enhanced through therapeutic area-based group activities and hands-on experiences in innovative biodesign through practicums at the Medical Devices Center. Students have the opportunity to specialize in an area of interest by taking 9 credits of electives in medical, technical, or business courses. The 14-month program draws upon the fields of technology innovation, product development, project and business management, intellectual property, regulatory affairs, clinical needs, entrepreneurship, emerging trends, globalization, reimbursement, and public policy. This program provides students with a full understanding of medical device innovation from start to finish. In doing so, it goes well beyond the traditional technology focus of most master's programs.
Program Delivery
  • via classroom (the majority of instruction is face-to-face)
Prerequisites for Admission
The preferred undergraduate GPA for admittance to the program is 3.00.
A bachelor's degree in a related field, such as biological or physical sciences, engineering, computer science, mathematics, or statistics.
Other requirements to be completed before admission:
Strong background in science, engineering, and math, with at least two to five years of work experience.
Special Application Requirements:
Applications are accepted on a rolling basis for the program's start in the summer of each year. The deadline for international students is March 15. Additional information is available at http://tli.umn.edu/graduate/mdi.
International applicants must submit score(s) from one of the following tests:
  • TOEFL
    • Internet Based - Total Score: 79
    • Internet Based - Writing Score: 21
    • Internet Based - Reading Score: 19
    • Paper Based - Total Score: 550
  • IELTS
    • Total Score: 6.5
  • MELAB
    • Final score: 80
The preferred English language test is Test of English as Foreign Language.
Key to test abbreviations (TOEFL, IELTS, MELAB).
For an online application or for more information about graduate education admissions, see the General Information section of this website.
Program Requirements
Plan B: Plan B requires 28 major credits and 6 credits outside the major. The final exam is written and oral. A capstone project is required.
Capstone Project: The capstone project is independent, original, and applied research on a relevant subject, problem, or issue in areas of medical device technologies, policy, business, or innovation. The capstone project is rooted in real-world topics in the industry, and is usually framed in cooperation with the studentís organization or employer. The capstone is the studentís opportunity to demonstrate mastery of the concepts and methods (quantitative as well as qualitative) that have been learned in the MDI program, and to apply them to an industry-based medical device technology, venture, process, or organizational challenge. A written capstone report and formal presentation to the capstone committee is required.
This program may be completed with a minor.
Use of 4xxx courses towards program requirements is not permitted.
A minimum GPA of 3.25 is required for students to remain in good standing.
Core Courses
MDI 5001 - Technical Writing (1.0 cr)
MDI 5002 - Technology Foresight and Forecasting (3.0 cr)
MDI 5004 - Clinical Foundations of Medical Device Innovation (3.0 cr)
MDI 5006 - Finance, Valuation, and Entrepreneurship (3.0 cr)
MDI 5008 - Quality, Regulatory and Manufacturing Management (2.0 cr)
MDI 5010 - Product Innovation & Development Management (3.0 cr)
MDI 5012 - Medical Industry Macro Environment (3.0 cr)
MDI 5013 - Medical Device Center Practicum I (2.0 cr)
MDI 5014 - Medical Device Center Practicum II (2.0 cr)
MDI 5015 - Medical Device Center Practicum III (2.0 cr)
MDI 5050 - Interpersonal & Team Effectiveness (1.0 cr)
MDI 5051 - Leading Innovation & Change (1.0 cr)
Capstone Project
MDI 5020 - Medical Device Innovation Capstone (0.5-2.0 cr)
Electives
Other courses may be selected in consultation with the director of graduate studies.
Take 6 or more credit(s) from the following:
· BMEN 5001 - Advanced Biomaterials (3.0 cr)
· BMEN 5101 - Advanced Bioelectricity and Instrumentation (3.0 cr)
· BMEN 5151 - Introduction to BioMEMS and Medical Microdevices (2.0 cr)
· BMEN 5201 - Advanced Biomechanics (3.0 cr)
· BMEN 5311 - Advanced Biomedical Transport Processes (3.0 cr)
· BMEN 5321 - Microfluidics in Biology and Medicine (3.0 cr)
· BMEN 5351 - Cell Engineering (3.0 cr)
· BMEN 5401 - Advanced Biomedical Imaging (3.0 cr)
· BMEN 5411 - Neural Engineering (3.0 cr)
· BMEN 5412 - Neuromodulation (3.0 cr)
· BMEN 5413 - Neural Decoding and Interfacing (3.0 cr)
· BMEN 5421 - Introduction to Biomedical Optics (3.0 cr)
· BMEN 5501 - Biology for Biomedical Engineers (3.0 cr)
· BMEN 5701 - Cancer Bioengineering (3.0 cr)
· BMEN 8101 - Biomedical Digital Signal Processing (3.0 cr)
· BTHX 5100 - Introduction to Clinical Ethics (3.0 cr)
· BTHX 5210 - Ethics of Human Subjects Research (3.0 cr)
· BTHX 5300 - Foundations of Bioethics (3.0 cr)
· BTHX 5325 - Biomedical Ethics (3.0 cr)
· BTHX 5400 - Intro Ethics in Hlth Policy (3.0 cr)
· BTHX 5411 - Health Law and Policy (3.0 cr)
· BTHX 5453 - Law, Biomedicine, and Bioethics (3.0 cr)
· BTHX 5610 - Research & Publication Seminar (1.0 cr)
· BTHX 5620 - Social Context of Health and Illness (3.0 cr)
· BTHX 8114 - Ethical and legal Issues in Genetic Counseling (3.0 cr)
· BTHX 8510 - Gender and the Politics of Health (3.0 cr)
· BTHX 8610 - Medical Consumerism (3.0 cr)
· CSCI 5103 - Operating Systems (3.0 cr)
· CSCI 5105 - Introduction to Distributed Systems (3.0 cr)
· CSCI 5115 - User Interface Design, Implementation and Evaluation (3.0 cr)
· CSCI 5143 - Real-Time and Embedded Systems (3.0 cr)
· CSCI 5204 - Advanced Computer Architecture (3.0 cr)
· CSCI 5211 - Data Communications and Computer Networks (3.0 cr)
· CSCI 5221 - Foundations of Advanced Networking (3.0 cr)
· CSCI 5231 - Wireless and Sensor Networks (3.0 cr)
· CSCI 5451 - Introduction to Parallel Computing: Architectures, Algorithms, and Programming (3.0 cr)
· CSCI 5461 - Functional Genomics, Systems Biology, and Bioinformatics (3.0 cr)
· CSCI 5481 - Computational Techniques for Genomics (3.0 cr)
· CSCI 5523 - Introduction to Data Mining (3.0 cr)
· CSCI 5551 - Introduction to Intelligent Robotic Systems (3.0 cr)
· CSCI 5552 - Sensing and Estimation in Robotics (3.0 cr)
· CSCI 5609 - Visualization (3.0 cr)
· CSCI 5707 - Principles of Database Systems (3.0 cr)
· CSCI 5708 - Architecture and Implementation of Database Management Systems (3.0 cr)
· CSCI 5801 - Software Engineering I (3.0 cr)
· CSCI 5802 - Software Engineering II (3.0 cr)
· CSCI 8725 - Databases for Bioinformatics (3.0 cr)
· EE 5121 - Transistor Device Modeling for Circuit Simulation (3.0 cr)
· EE 5141 - Introduction to Microsystem Technology (4.0 cr)
· EE 5163 - Semiconductor Properties and Devices I (3.0 cr)
· EE 5164 - Semiconductor Properties and Devices II (3.0 cr)
· EE 5171 - Microelectronic Fabrication (4.0 cr)
· EE 5181 - Micro and Nanotechnology by Self Assembly (3.0 cr)
· EE 5364 - Advanced Computer Architecture (3.0 cr)
· EE 5371 - Computer Systems Performance Measurement and Evaluation (3.0 cr)
· EE 5393 - Circuits, Computation, and Biology (3.0 cr)
· EE 5542 - Adaptive Digital Signal Processing (3.0 cr)
· EE 5545 - Digital Signal Processing Design (3.0 cr)
· EE 5551 - Multiscale and Multirate Signal Processing (3.0 cr)
· EE 5581 - Information Theory and Coding (3.0 cr)
· EE 5583 - Error Control Coding (3.0 cr)
· EE 5585 - Data Compression (3.0 cr)
· EE 8367 - Parallel Computer Organization (3.0 cr)
· ENTR 6020 - Business Formation (4.0 cr)
· HINF 5502 - Python Programming Essentials for the Health Sciences (1.0 cr)
· HINF 5510 - Applied Health Care Databases: Database Principles and Data Evaluation (3.0 cr)
· HINF 5520 - Informatics Methods for Health Care Quality, Outcomes, and Patient Safety (2.0 cr)
· HINF 5530 - Health Care Software Management (2.0 cr)
· HINF 5531 - Health Data Analytics and Data Science (3.0 cr)
· IE 5111 - Systems Engineering I (2.0 cr)
· IE 5112 {Inactive} (3.0 cr)
· IE 5113 - Systems Engineering II (4.0 cr)
· IE 5522 - Quality Engineering and Reliability (4.0 cr)
· IE 5541 - Project Management (4.0 cr)
· IE 5545 - Decision Analysis (4.0 cr)
· IE 5551 - Production Planning and Inventory Control (4.0 cr)
· IE 5553 - Simulation (4.0 cr)
· MBA 6110 - Leading Others (2.0 cr)
· MBA 6300 - Strategic Management (3.0 cr)
· ME 5223 - Materials in Design (4.0 cr)
· ME 5341 - Case Studies in Thermal Engineering and Design (4.0 cr)
· ME 8262 - Topics in Modeling and Analysis of Manufacturing Processes (4.0 cr)
· ME 8381 - Bioheat and Mass Transfer (3.0 cr)
· ME 8775 - Technical Communication (1.0 cr)
· MGMT 6050 - Management of Innovation and Change (2.0 cr)
· MGMT 6100 - Topics in Management (2.0-4.0 cr)
· MILI 6235 - Pharmaceutical Industry: Business and Policy (2.0 cr)
· MILI 6562 - Information Technology in Health Care (2.0 cr)
· MILI 6589 - Medical Technology Evaluation and Market Research (2.0 cr)
· MILI 6726 - Medical Device Industry: Business and Public Policy (2.0 cr)
· MILI 6990 - The Health Care Marketplace (2.0 cr)
· MILI 6991 - Anatomy and Physiology for Managers (2.0 cr)
· MILI 6992 - Healthcare Delivery Innovations:Optimizing Cost and Quality (2.0 cr)
· MILI 6995 - Medical Industry Valuation Laboratory (2.0 cr)
· MKTG 6088 - Strategic Marketing (2.0 cr)
· NEUR 5230 - Cerebrovascular Hemodynamics and Diseases I (4.0 cr)
· NEUR 5240 - Cerebrovascular Hemodynamics and Diseases II (4.0 cr)
· PDES 5701 - Creativity, Idea Generation, and Innovation (3.0 cr)
· PDES 5702 - Concept Sketching and Rendering (3.0 cr)
· PDES 5704 - Computer-Aided Design Methods (3.0 cr)
· PHSL 5061 - Principles of Physiology for Biomedical Engineering (4.0 cr)
· PHSL 5510 - Advanced Cardiac Physiology and Anatomy (2.0-3.0 cr)
· PHSL 5525 - Anatomy and Physiology of the Pelvis and Urinary System (1.0-2.0 cr)
· PSY 5065 - Functional Imaging: Hands-on Training (3.0 cr)
· PUBH 6751 - Principles of Management in Health Services Organizations (2.0 cr)
· PUBH 6832 - Economics of the Health Care System (3.0 cr)
· PUBH 6862 - Cost-Effectiveness Analysis in Health Care (3.0 cr)
· RSC 5101 - Mathematical Tools for Research Applications in Health, Rehab, and Human Movement Sciences (1.0 cr)
· RSC 5106 - Introduction to Rehabilitation Science (1.0 cr)
· RSC 5135 - Advanced Biomechanics I: Kinematics (3.0 cr)
· RSC 5200 - Introduction to Transcranial Magnetic Stimulation (3.0 cr)
· RSC 5231 - Clinical Biomechanics (2.0-5.0 cr)
· RSC 5281 - Scientific Foundations: Exercise Theory (3.0 cr)
· SCB 8181 - Stem Cell Biology (3.0 cr)
· ST 8109 - Cybersecurity Foundations - Technology, Risk & Communication (2.0 cr)
· ST 8110 - Security Science and Technology Foundations (3.0 cr)
· ST 8111 - Methods, Theory, and Applications (2.5 cr)
· ST 8113 - Information and Cyber Security (2.0 cr)
· ST 8220 - Vulnerability, Risk and Threat Assessment and Management (3.0 cr)
· ST 8330 - Critical Infrastructure Protections (3.0 cr)
· ST 8331 - Dynamic Systems Modeling and Simulation Tools (2.0 cr)
· ST 8513 - Cyber Threat Intelligence (2.0 cr)
· ST 8661 - Securing Cyberspace (Fundamentals) (3.0 cr)
· ST 8662 - Securing Cyberspace - Advanced (3.0 cr)
· Students may choose a minor in human factors and ergonomics, but must have courses pre-approved by the director of graduate studies.
 
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MDI 5004 - Clinical Foundations of Medical Device Innovation
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Master essential topics to deepen knowledge of Clinical Environment in which products will be conceived, tested, used. Topics include surgical protocols, physician, surgeon, nursing, technical support functions. Medical terminology, anatomy/physiology, ethnology research, Healthcare Law, Medicare/Medicaid, HIPAA requirements. prereq: MDI grad student. Non-MDI graduate students and non-degree graduate students may register for this course with permission of the MDI program.
MDI 5008 - Quality, Regulatory and Manufacturing Management
Credits: 2.0 [max 2.0]
Prerequisites: MDI graduate student only
Grading Basis: A-F only
Typically offered: Every Spring
Course provides students with understanding of the global regulatory environment in which the medical device industry operates. Students gain a fundamental understanding of critical quality systems regulations including ISO13485/ISO14971 and their relationship to the FDA's cGMP regulations. Students gain practical experience using tools that are essential to both product development and continuation/sustaining engineering including; design control procedures, FMEA, verification and validation, internal and external (supplier) management and audit methods. prereq: MDI graduate student only
MDI 5010 - Product Innovation & Development Management
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Framework for conceptualization, design, development, commercialization process for medical products. Survey of key steps in innovation, from engineering/business perspective. Cross-functional development of concepts/processes. prereq: Grad MDI student. Non-MDI graduate students and non-degree graduate students may register for this course with permission of the MDI program.
MDI 5012 - Medical Industry Macro Environment
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Application of macro environmental analysis to medical device industry. Methods reviewed. Industry-relevant case studies/macro environmental analysis of firms of interest. Political, economic, social, technological, legal, ecological factors that impact medical innovation. Prereq: MDI grad student. Non-MDI graduate students and non-degree graduate students may register for this course with permission of the MDI program.
MDI 5013 - Medical Device Center Practicum I
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
First of three part series of practicum courses for MDI program. Focus on teaching innovation steps/process using known/pre-assigned clinical needs as examples in collaboration with Medical Device Center. Essential steps in BioDesign process. Apply knowledge to specific real-world examples. prereq: Grad MDI student
MDI 5014 - Medical Device Center Practicum II
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Second of three part series of practicum courses for MDI program. Clinical environment, including research tools/methods, filtering/translating needs, ideation/prototype development, communication with functional managers, corporate executives/investors. prereq: Grad MDI student
MDI 5015 - Medical Device Center Practicum III
Credits: 2.0 [max 2.0]
Prerequisites: Grad MDI student
Grading Basis: A-F only
Typically offered: Every Spring
Medical Device Innovation Practicum III is the third of a three part series. Students will gain a high-level understanding of essential steps in the BioDesign process related to ideation. The steps of the ideation process will include brainstorming and prototyping of potential solutions, risk assessment, and business strategy development. Students will prepare and present a technical evaluation that articulates the value of their new technology or device to functional managers, corporate executives, and/or investors. prereq: Grad MDI student
MDI 5050 - Interpersonal & Team Effectiveness
Credits: 1.0 [max 1.0]
Prerequisites: Grad MDI student
Grading Basis: A-F only
Typically offered: Every Summer
MDI 5050 builds the context and capability innovation leaders need to manage effective interpersonal relationships and develop high performance teams. Emphasis is placed on foundational principles and practices that help leaders self-manage, engage and influence key stakeholders, and generate shared commitment for team and project success. Students will increase their self-awareness through self and peer feedback and develop an action plan to enhance their leadership effectiveness in both their current work role and their MDI practicum teams. prereq: Grad MDI student
MDI 5051 - Leading Innovation & Change
Credits: 1.0 [max 1.0]
Prerequisites: Grad MDI Student and completion of MDI 5050.
Grading Basis: A-F only
Typically offered: Every Fall
MDI 5051 explores the role and differentiating capabilities of outstanding innovation leaders in complex and dynamic environments. Emphasis is placed on principles and practices that help leaders focus on the right strategies, build the organizational capability required to execute a strategy, lead change initiatives and sustain commitment versus compliance among diverse stakeholders. Students will practice improving their team effectiveness and develop a change leadership plan to support implementation of either a current work initiative or their upcoming Capstone Project. prereq: Grad MDI Student and completion of MDI 5050.
MDI 5020 - Medical Device Innovation Capstone
Credits: 0.5 -2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Spring & Summer
The MDI capstone is an independent, original, and applied investigation on a relevant subject, problem, or issue in areas of medical device technologies, policy, business, and innovation. All students in the MDI program are required to complete a capstone project as part of the program. Registration is open to MDI students only.
BMEN 5001 - Advanced Biomaterials
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Commonly used biomaterials. Chemical/physical aspects. Practical examples from such areas as cardiovascular/orthopedic applications, drug delivery, and cell encapsulation. Methods used for chemical analysis and for physical characterization of biomaterials. Effect of additives, stabilizers, processing conditions, and sterilization methods. prereq: 3301 or MatS 3011 or grad student or instr consent
BMEN 5101 - Advanced Bioelectricity and Instrumentation
Credits: 3.0 [max 3.0]
Typically offered: Periodic Spring
Instrumentation, computer systems, and processing requirements for clinical physiological signals. Electrode characteristics, signal processing, and interpretation of physiological events by ECG, EEG, and EMG. Measurement of respiration and blood volume/flow. prereq: [CSE upper div, grad student] or instr consent
BMEN 5151 - Introduction to BioMEMS and Medical Microdevices
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Design/microfabrication of sensors, actuators, drug delivery systems, microfluidic devices, and DNA/protein microarrays. Packaging, biocompatibility, ISO 10993 standards. Applications in medicine, research, and homeland security. prereq: CSE sr or grad student or medical student
BMEN 5201 - Advanced Biomechanics
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Introduction to biomechanics of musculoskeletal system. Anatomy, tissue material properties. Kinematics, dynamics, and control of joint/limb movement. Analysis of forces/motions within joints. Application to injury, disease. Treatment of specific joints, design of orthopedic devices/implants. prereq: [[3001 or equiv], [CSE upper div or grad student]] or instr consent
BMEN 5311 - Advanced Biomedical Transport Processes
Credits: 3.0 [max 3.0]
Course Equivalencies: 00490 - BMEn 5311/ChEn 5753/ME 5381
Typically offered: Every Spring
Fluid flow and mass transfer in the body, bioreactors, and medical devices. Pulsatile flows. Flows around curved and deformable vessels. Boundary layer flows. Blood rheology. Interstitial (porous media) flows. Oxygenation. Cell migration. Student critiques of published papers.
BMEN 5321 - Microfluidics in Biology and Medicine
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Fundamentals of microfluidics. Fluid mechanics/transport phenomena in microscale systems. Pressure/surface driven flows. Capillary forces, electrokinetics, hydraulic circuit analysis. Finite element modeling for microfluidic systems. Design/fabrication methods for microfluidic devices. prereq: [3111, AEM 4201, ChEn 4005, [ME 3331 or ME 3332 or CSE grad student or instr consent]
BMEN 5351 - Cell Engineering
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Engineering approaches to cell-related phenomena important to cell/tissue engineering. Receptor/ligand binding. Trafficking/signaling processes. Applications to cell proliferation, adhesion, and motility. Cell-matrix interactions. prereq: [2401, [2501 or concurrent registration is required (or allowed) in 5501], [MATH 2243 or MATH 2373]] or CSE upper div or grad student or instr consent
BMEN 5401 - Advanced Biomedical Imaging
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Functional biomedical imaging modalities. Principles/applications of technologies that offer high spatial/temporal resolution. Bioelectromagnetic and magnetic resonance imaging. Other modalities. prereq: CSE upper div or grad student or instr consent
BMEN 5411 - Neural Engineering
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Theoretical basis. Signal processing techniques. Modeling of nervous system, its response to stimulation. Electrode design, neural modeling, cochlear implants, deep brain stimulation. Prosthetic limbs, micturition control, prosthetic vision. Brain machine interface, seizure prediction, optical imaging of nervous system, place cell recordings in hippocampus. prereq: 3401 recommended
BMEN 5412 - Neuromodulation
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Fundamentals of bioengineering approaches to modulate the nervous system, including bioelectricity, biomagnetism, and optogenetics. Computational modeling, design, and physiological mechanisms of neuromodulation technologies. Clinical exposure to managing neurological disorders with neuromodulation technology.
BMEN 5413 - Neural Decoding and Interfacing
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Neural interface technologies currently in use in patients as well as the biophysical, neural coding, and hardware features relating to their implementation in humans. Practical and ethical considerations for implanting these devices into humans. prereq: 5411, [3201 or 3401 or equiv recommended]
BMEN 5421 - Introduction to Biomedical Optics
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
Biomedical optical imaging/sensing principles, laser-tissue interaction, detector design, noise analysis, interferometry, spectroscopy. Optical coherence tomography, polarization, birefringence, flow measurement, fluorescence, nonlinear microscopy. Tours of labs. prereq: CSE sr or grad student
BMEN 5501 - Biology for Biomedical Engineers
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Concepts of cell/tissue structure/function. Basic principles of cell biology. Tissue engineering, artificial organs. prereq: Engineering upper div or grad student
BMEN 5701 - Cancer Bioengineering
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Cancer-specific cell, molecular/genetics events. Quantitative applications of bioinformatics/systems biology, optical imaging, cell/matrix mechanics. Drug transport (with some examination of design of novel therapeutics). prereq: [Upper division CSE undergraduate, CSE graduate student] or instr consent
BMEN 8101 - Biomedical Digital Signal Processing
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Signal processing theory for analyzing real world digital signals. Digital signal processing and mathematically derived algorithms for analysis of stochastic signals. Spectral analyses, noise cancellation, optimal filtering, blind source separation, beamforming techniques. prereq: [[MATH 2243 or MATH 2373], [MATH 2263 or MATH 2374]] or equiv
BTHX 5100 - Introduction to Clinical Ethics
Credits: 3.0 [max 3.0]
Typically offered: Every Fall & Spring
Most frequent ethical problems faced by clinicians, patients/families, and ethics consultants. Forgoing life sustaining treatment, decisional capacity, informed consent, treatment refusals, death/dying, pediatric ethics, reproductive issues, research ethics, psychiatric illness. Real cases.
BTHX 5210 - Ethics of Human Subjects Research
Credits: 3.0 [max 3.0]
Typically offered: Fall Even Year
Issues in ethics of human subjects research. prereq: Grad student or instr consent
BTHX 5300 - Foundations of Bioethics
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Overview of major contemporary frameworks used to approach ethical issues in bioethics. prereq: Grad student or instr consent
BTHX 5325 - Biomedical Ethics
Credits: 3.0 [max 3.0]
Course Equivalencies: 01202
Typically offered: Every Fall & Spring
Major topics/issues in biomedical ethics. Patients' rights/duties, informed consent, confidentiality, ethical issues in medical research, initiation/termination of medical treatment, euthanasia, abortion, allocation of medical resources. prereq: Jr or sr or grad student or instr consent
BTHX 5400 - Intro Ethics in Hlth Policy
Credits: 3.0 [max 3.0]
Typically offered: Spring Even Year
Topics vary to reflect issues of current significance. Relates to law/politics as appropriate but focuses on moral analyses of policy issues. prereq: Grad student or professional student or instr consent
BTHX 5411 - Health Law and Policy
Credits: 3.0 [max 3.0]
Course Equivalencies: 01732
Grading Basis: A-F or Aud
Typically offered: Spring Even Year
Organization of health care delivery. Physician-patient relationship. informed consent. Quality control. Responses to harm and error, including through medical malpractice litigation. Access. Proposals for reform. prereq: Grad student or instr consent
BTHX 5453 - Law, Biomedicine, and Bioethics
Credits: 3.0 [max 3.0]
Course Equivalencies: 01303
Grading Basis: A-F only
Typically offered: Spring Even Year
Law/bioethics as means of controlling important biomedical developments. Relationship of law and bioethics. Role of law/bioethics in governing biomedical research, reproductive decisionmaking, assisted reproduction, genetic testing/screening, genetic manipulation, and cloning. Definition of death. Use of life-sustaining treatment. Organ transplantation. prereq: Grad student or instr consent
BTHX 5610 - Research & Publication Seminar
Credits: 1.0 [max 1.0]
Grading Basis: A-F only
Typically offered: Every Fall
Publication strategy/venues. Authorship issues/ethics in publication. Manuscript formatting/letters of submission. Peer review. prereq: [Junior or senior or grad student], bioethics grad majors must register A-F
BTHX 5620 - Social Context of Health and Illness
Credits: 3.0 [max 3.0]
Typically offered: Spring Even Year
Social context in which contemporary meanings of health and illness are understood by providers/patients. Ethical implications. Readings from history, social science, literature, and first-person accounts. prereq: Grad student or instr consent
BTHX 8114 - Ethical and legal Issues in Genetic Counseling
Credits: 3.0 [max 3.0]
Course Equivalencies: 01203
Grading Basis: A-F or Aud
Typically offered: Every Spring
Professional ethics. Ethical/legal concerns with new genetic technologies. prereq: [MCDG MS, genetic counseling specialization] or instr consent
BTHX 8510 - Gender and the Politics of Health
Credits: 3.0 [max 3.0]
Typically offered: Spring Even Year
Significance of gender to health and health care. Feminist analysis regarding moral/political importance of gender, possibly including contemporary western medicine?s understanding of the body, childbirth, and reproductive technologies; cosmetic surgery; chronic illness; disability; participation in research; gender and classification of disease. Care work, paid/non-paid. Readings from feminist theory, history, social science, bioethics, and moral philosophy. prereq: instr consent
BTHX 8610 - Medical Consumerism
Credits: 3.0 [max 3.0]
Typically offered: Spring Even Year
Roots/implications of "medical consumerism." How consumerist model shapes concepts of disease/disability. Larger historical developments that have led to current situation. How movement toward consumerism changes the profession of medicine. How tools of medical enhancement shape the way we think about our identities and live our lives. Texts from philosophy, history, literature, law, film, and social sciences.
CSCI 5103 - Operating Systems
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Conceptual foundation of operating system designs and implementations. Relationships between operating system structures and machine architectures. UNIX implementation mechanisms as examples. prereq: 4061 or instr consent
CSCI 5105 - Introduction to Distributed Systems
Credits: 3.0 [max 3.0]
Typically offered: Periodic Spring
Distributed system design and implementation. Distributed communication and synchronization, data replication and consistency, distributed file systems, fault tolerance, and distributed scheduling. prereq: [5103 or equiv] or instr consent
CSCI 5115 - User Interface Design, Implementation and Evaluation
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Theory, design, programming, and evaluation of interactive application interfaces. Human capabilities and limitations, interface design and engineering, prototyping and interface construction, interface evaluation, and topics such as data visualization and World Wide Web. Course is built around a group project. prereq: 4041 or instr consent
CSCI 5143 - Real-Time and Embedded Systems
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Periodic Spring
Real-time systems that require timely response by computer to external stimulus. Embedded systems in which computer is part of machine. Increasing importance of these systems in commercial products. How to control robots and video game consoles. Lecture, informal lab. prereq: [4061 or instr consent], experience with C language
CSCI 5204 - Advanced Computer Architecture
Credits: 3.0 [max 3.0]
Course Equivalencies: 00579
Typically offered: Every Fall
Instruction set architecture, processor microarchitecture, memory, I/O systems. Interactions between computer software and hardware. Methodologies of computer design. prereq: 4203 or EE 4363
CSCI 5211 - Data Communications and Computer Networks
Credits: 3.0 [max 3.0]
Course Equivalencies: 00495 - CSci 4211/5211
Typically offered: Every Fall
Cconcepts, principles, protocols, and applications of computer networks. Layered network architectures, data link protocols, local area networks, network layer/routing protocols, transport, congestion/flow control, emerging high-speed networks, network programming interfaces, networked applications. Case studies using Ethernet, Token Ring, FDDI, TCP/IP, ATM, Email, HTTP, and WWW. prereq: [4061 or instr consent], basic knowledge of [computer architecture, operating systems, probability], grad student
CSCI 5221 - Foundations of Advanced Networking
Credits: 3.0 [max 3.0]
Typically offered: Spring Even Year
Design principles, protocol mechanisms. Network algorithmics, implementation techniques. Advanced network architectures, state-of-art/emerging networking technologies/applications, network modeling. Simulation, experiments. prereq: 4211 or 5211 or equiv; intro course in computer networks recommended
CSCI 5231 - Wireless and Sensor Networks
Credits: 3.0 [max 3.0]
Typically offered: Spring Odd Year
Enabling technologies, including hardware, embedded operating systems, programming environment, communication, networking, and middleware services. Hands-on experience in programming tiny communication devices. prereq: 4211 or 5211 or instr consent
CSCI 5451 - Introduction to Parallel Computing: Architectures, Algorithms, and Programming
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Parallel architectures design, embeddings, routing. Examples of parallel computers. Fundamental communication operations. Performance metrics. Parallel algorithms for sorting. Matrix problems, graph problems, dynamic load balancing, types of parallelisms. Parallel programming paradigms. Message passing programming in MPI. Shared-address space programming in openMP or threads. prereq: 4041 or instr consent
CSCI 5461 - Functional Genomics, Systems Biology, and Bioinformatics
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Computational methods for analyzing, integrating, and deriving predictions from genomic/proteomic data. Analyzing gene expression, proteomic data, and protein-protein interaction networks. Protein/gene function prediction, Integrating diverse data, visualizing genomic datasets. prereq: 3003 or 4041 or instr consent
CSCI 5481 - Computational Techniques for Genomics
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Techniques to analyze biological data generated by genome sequencing, proteomics, cell-wide measurements of gene expression changes. Algorithms for single/multiple sequence alignments/assembly. Search algorithms for sequence databases, phylogenetic tree construction algorithms. Algorithms for gene/promoter and protein structure prediction. Data mining for micro array expression analysis. Reverse engineering of regulatory networks. prereq: 4041 or instr consent
CSCI 5523 - Introduction to Data Mining
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Data pre-processing techniques, data types, similarity measures, data visualization/exploration. Predictive models (e.g., decision trees, SVM, Bayes, K-nearest neighbors, bagging, boosting). Model evaluation techniques, Clustering (hierarchical, partitional, density-based), association analysis, anomaly detection. Case studies from areas such as earth science, the Web, network intrusion, and genomics. Hands-on projects. prereq: 4041 or equiv or instr consent
CSCI 5551 - Introduction to Intelligent Robotic Systems
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall
Transformations, kinematics/inverse kinematics, dynamics, control. Sensing (robot vision, force control, tactile sensing), applications of sensor-based robot control, robot programming, mobile robotics, microrobotics. prereq: 2031 or 2033 or instr consent
CSCI 5552 - Sensing and Estimation in Robotics
Credits: 3.0 [max 3.0]
Typically offered: Periodic Spring
Bayesian estimation, maximum likelihood estimation, Kalman filtering, particle filtering. Sensor modeling and fusion. Mobile robot motion estimation (odometry, inertial,laser scan matching, vision-based) and path planning. Map representations, landmark-based localization, Markov localization, simultaneous localization/mapping (SLAM), multi-robot localization/mapping. prereq: [5551, Stat 3021] or instr consent
CSCI 5609 - Visualization
Credits: 3.0 [max 3.0]
Typically offered: Fall Even Year
Fundamental theory/practice in data visualization. Programming applications. Perceptual issues in effective data representation, multivariate visualization, information visualization, vector field/volume visualization. prereq: [1913, 4041] or equiv or instr consent
CSCI 5707 - Principles of Database Systems
Credits: 3.0 [max 3.0]
Course Equivalencies: CSci 4707/5707/INET 4707
Typically offered: Every Fall
Concepts, database architecture, alternative conceptual data models, foundations of data manipulation/analysis, logical data models, database designs, models of database security/integrity, current trends. prereq: [4041 or instr consent], grad student
CSCI 5708 - Architecture and Implementation of Database Management Systems
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Techniques in commercial/research-oriented database systems. Catalogs. Physical storage techniques. Query processing/optimization. Transaction management. Mechanisms for concurrency control, disaster recovery, distribution, security, integrity, extended data types, triggers, and rules. prereq: 4707 or 5707 or instr consent
CSCI 5801 - Software Engineering I
Credits: 3.0 [max 3.0]
Prerequisites: 2041 or #
Typically offered: Every Fall
Advanced introduction to software engineering. Software life cycle, development models, software requirements analysis, software design, coding, maintenance. prereq: 2041 or instr consent
CSCI 5802 - Software Engineering II
Credits: 3.0 [max 3.0]
Typically offered: Periodic Spring
Introduction to software testing, software maturity models, cost specification models, bug estimation, software reliability models, software complexity, quality control, and experience report. Student groups specify, design, implement, and test partial software systems. Application of general software development methods and principles from 5801. prereq: 5801 or instr consent
CSCI 8725 - Databases for Bioinformatics
Credits: 3.0 [max 3.0]
Typically offered: Periodic Spring
DBMS support for biological databases, data models. Searching integrated public domain databases. Queries/analyses, DBMS extensions, emerging applications. prereq: 4707 or 5707 or instr consent
EE 5121 - Transistor Device Modeling for Circuit Simulation
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Basics of MOS, bipolar theory. Evolution of popular device models from early SPICE models to current industry standards. prereq: [3115, 3161, CSE grad student] or dept consent
EE 5141 - Introduction to Microsystem Technology
Credits: 4.0 [max 4.0]
Typically offered: Every Spring
Microelectromechanical systems composed of microsensors, microactuators, and electronics integrated onto common substrate. Design, fabrication, and operation principles. Labs on micromachining, photolithography, etching, thin film deposition, metallization, packaging, and device characterization. prereq: [3161, 3601, CSE grad student] or dept consent
EE 5163 - Semiconductor Properties and Devices I
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Principles/properties of semiconductor devices. Selected topics in semiconductor materials, statistics, and transport. Aspects of transport in p-n junctions, heterojunctions. prereq: [3161, 3601, CSE grad student] or dept consent
EE 5164 - Semiconductor Properties and Devices II
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Principles/properties of semiconductor devices. Charge control in different FETs, transport, modeling. Bipolar transistor models (Ebers-Moll, Gummel-Poon), heterostructure bipolar transistors. Special devices. prereq: 5163 or instr consent
EE 5171 - Microelectronic Fabrication
Credits: 4.0 [max 4.0]
Typically offered: Every Fall
Fabrication of microelectronic devices. Silicon integrated circuits, GaAs devices. Lithography, oxidation, diffusion. Process integration of various technologies, including CMOS, double poly bipolar, and GaAs MESFET. prereq: CSE grad student or dept consent
EE 5181 - Micro and Nanotechnology by Self Assembly
Credits: 3.0 [max 3.0]
Typically offered: Spring Odd Year
Self-assembly process of micro and nano structures for realization of 1-, 2-, 3-dimensional micro- and nano-devices. Micro and nanoscale fabrication by electrostatic, magnetic, surface tension, Capillary, intrinsic and extrinsic forces. Nanoscale lithographic patterning. Devices packaging, Self-healing process. prereq: EE 3161, Phys 1302
EE 5364 - Advanced Computer Architecture
Credits: 3.0 [max 3.0]
Course Equivalencies: CSci 5204/EE 5364
Typically offered: Every Fall
Instruction set architecture, processor microarchitecture. Memory and I/O systems. Interactions between computer software and hardware. Methodologies of computer design. prereq: [[4363 or CSci 4203], CSE grad student] or dept consent
EE 5371 - Computer Systems Performance Measurement and Evaluation
Credits: 3.0 [max 3.0]
Course Equivalencies: EE 5371/5863
Typically offered: Periodic Fall & Spring
Tools/techniques for analyzing computer hardware, software, system performance. Benchmark programs, measurement tools, performance metrics. Deterministic/probabilistic simulation techniques, random number generation/testing. Bottleneck analysis. prereq: [4363 or 5361 or CSci 4203 or 5201], [CSE grad student] or dept consent
EE 5393 - Circuits, Computation, and Biology
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Connections between digital circuit design and synthetic/computational biology. Probabilistic, discrete-event simulation. Timing analysis. Information-Theoretic Analysis. Feedback in digital circuits/genetic regulatory systems. Synthesizing stochastic logic and probabilistic biochemistry. prereq: MATH 2263 or dept consent
EE 5542 - Adaptive Digital Signal Processing
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Design, application, and implementation of optimum/adaptive discrete-time FIR/IIR filters. Wiener, Kalman, and Least-Squares. Linear prediction. Lattice structure. LMS, RLS, and Levinson-Durbin algorithms. Channel equalization, system identification, biomedical/sensor array processing, spectrum estimation. Noise cancellation applications. prereq: [4541, 5531, CSE grad student] or dept consent
EE 5545 - Digital Signal Processing Design
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Real-time implementation of digital signal processing (DSP) algorithms, including filtering, sample-rate conversion, and FFT-based spectral analysis. Implementation on a modern DSP Platform. Processor architecture. Arithmetic operations. Real-time processing issues. Processor limitations. Integral laboratory. prereq: [4541, CSE grad student] or dept consent
EE 5551 - Multiscale and Multirate Signal Processing
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Multirate discrete-time systems. Bases, frames. Continuous wavelet transform. Scaling equations. Discrete wavelet transform. Applications in signal/image processing. prereq: [4541, 5531, CSE grad student] or dept consent
EE 5581 - Information Theory and Coding
Credits: 3.0 [max 3.0]
Typically offered: Fall Even Year
Source/channel models, codes for sources/channels. Entropy, mutual information, capacity, rate-distortion functions. Coding theorems. prereq: [5531, CSE grad student] or dept consent
EE 5583 - Error Control Coding
Credits: 3.0 [max 3.0]
Typically offered: Periodic Spring
Error-correcting codes. Concepts, properties, polynomial representation. BCH, Golay, Reed-Muller/Reed-Solomon codes. Convolutional codes. Iterative codes. prereq: [[3025, Math 2373] or equiv], [CSE grad student or dept consent]
EE 5585 - Data Compression
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Source coding in digital communications and recording. Codes for lossless compression. Universal lossless codes. Lossless image compression. Scalar and vector quantizer design. Loss source coding theory. Differential coding, trellis codes, transform/subband coding. Analysis/synthesis schemes. prereq: CSE grad student or dept consent
EE 8367 - Parallel Computer Organization
Credits: 3.0 [max 3.0]
Course Equivalencies: CSci 8205/EE 8367
Typically offered: Every Spring
Design/implementation of multiprocessor systems. Parallel machine organization, system design. Differences between parallel, uniprocessor machines. Programming models. Synchronization/communication. Topologies, message routing strategies. Performance optimization techniques. Compiler, system software issues. prereq: 5364 or CSci 5204
ENTR 6020 - Business Formation
Credits: 4.0 [max 4.0]
Course Equivalencies: Entr 6020/Mgmt 6020
Grading Basis: A-F only
Typically offered: Every Fall & Spring
Business formation from concept development through startup. Business concept, plan, forecast, and budget. Resource markets/assembly. Problems/opportunities from concept stage through establishment of viable business. Cases, exercises, projects, business plans, guest speakers. prereq: MBA student
HINF 5502 - Python Programming Essentials for the Health Sciences
Credits: 1.0 [max 1.0]
Grading Basis: S-N or Aud
Typically offered: Every Fall & Spring
Computer programming essentials for health sciences/health care applications using Python 3. Intended for students with limited programming background, or students wishing to obtain proficiency in Python programming language. prereq: Junior or senior or grad student or professional student or instr consent
HINF 5510 - Applied Health Care Databases: Database Principles and Data Evaluation
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Principles of database theory, modeling, design, and manipulation of databases will be introduced, taught with a healthcare applications emphasis. Students will gain experience using a relational database management system (RDBMS), and database manipulation will be explored using Structured Query Language (SQL) to compose and execute queries. Students will be able to critically evaluate database query methods and results, and understand their implications for health care. prereq: Junior or senior or grad student or professional student or instr consent
HINF 5520 - Informatics Methods for Health Care Quality, Outcomes, and Patient Safety
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Application/operation of clinical information systems, electronic health records, decision support/application in health care system. Use of clinical information systems/association with health care delivery, payment, quality, outcomes. prereq: Junior or senior or grad student or professional student or instr consent
HINF 5530 - Health Care Software Management
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Health care software and unique interaction between key stakeholders in health care software development and implementation. Systems analysis, software development, and software life cycle management for health care applications. prereq: HINF student or instr consent
HINF 5531 - Health Data Analytics and Data Science
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Data science methods and techniques for the extraction, preparation, and use of health data in decision making. prereq: Junior or senior or professional student or grad student or instr consent
IE 5111 - Systems Engineering I
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Overview of systems-level thinking/techniques in context of an integrated, design-oriented framework. Elements of systems engineering process, including lifecycle, concurrent, and global engineering. Framework for engineering large-scale, complex systems. How specific techniques fit into framework. prereq: CSE upper div or grad student
IE 5113 - Systems Engineering II
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Systems engineering thinking/techniques presented in 5111. Hands-on techniques applied to specific problems. Topics pertinent to effectiveness of design process. Practices and organizational/reward structure to support collaborative, globally distributed design team.
IE 5522 - Quality Engineering and Reliability
Credits: 4.0 [max 4.0]
Course Equivalencies: 01914 - IE 3522/IE 5522
Typically offered: Periodic Fall & Spring
Quality engineering/management, economics of quality, statistical process control design of experiments, reliability, maintainability, availability. prereq: [4521 or equiv], [upper div or grad student or CNR]
IE 5541 - Project Management
Credits: 4.0 [max 4.0]
Course Equivalencies: 01916
Grading Basis: A-F only
Typically offered: Every Fall & Spring
Introduction to engineering project management. Analytical methods of selecting, organizing, budgeting, scheduling, and controlling projects, including risk management, team leadership, and program management. prereq: Upper div or grad student
IE 5545 - Decision Analysis
Credits: 4.0 [max 4.0]
Typically offered: Periodic Fall
Normative theories of decision making. Emphasizes structuring of hard decision problems arising in business and public policy contexts. Decision trees, expected utility theory, screening prospects by dominance, assessment of subjective probability, multiple attribute utility, analytic hierarchy process, benchmarking with data envelopment analysis, basics of game theory. prereq: 3521 or equiv
IE 5551 - Production Planning and Inventory Control
Credits: 4.0 [max 4.0]
Course Equivalencies: 01917 - IE 4551/IE 5551
Typically offered: Every Fall & Spring
Inventory control, supply chain management, demand forecasting, capacity planning, aggregate production and material requirement planning, operations scheduling, and shop floor control. Quantitative models used to support decisions. Implications of emerging information technologies and of electronic commerce for supply chain management and factory operation. prereq: CNR or upper div or grad student
IE 5553 - Simulation
Credits: 4.0 [max 4.0]
Course Equivalencies: 01915 - IE 3553/IE 5553
Typically offered: Periodic Fall & Spring
Discrete event simulation. Using integrated simulation/animation environment to create, analyze, and evaluate realistic models for various industry settings, including manufacturing/service operations and systems engineering. Experimental design for simulation. Selecting input distributions, evaluating simulation output. prereq: Upper div or grad student; familiarity with probability/statistics recommended
MBA 6110 - Leading Others
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Achieving organizational goals by leading in ways that create motivation, engagement, commitment, positive social interactions, and job performance. Understanding and managing the characteristics of organizations, work groups, and individuals. The role of group dynamics, decision making, cooperation, conflict, and power in leading others.
MBA 6300 - Strategic Management
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
Introduction to the concepts and techniques used to create and implement a sense of corporate direction; choices about products and markets that involve the integration of different functional areas; positioning a business to increase returns for shareholders and stakeholders; the skills involved in identifying issues, evaluating options, and implementing business plans. prereq: MBA student
ME 5223 - Materials in Design
Credits: 4.0 [max 4.0]
Typically offered: Every Fall
Fundamental properties of engineering materials. Fabrication, treatment. Physical/corrosive properties. Failure mechanism, cost/value analysis as related to material selection/specification. prereq: 3221, ME upper division or grad student
ME 5341 - Case Studies in Thermal Engineering and Design
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Characteristics of applied heat transfer problems. Nature of problem specification, incompleteness of needed knowledge base, accuracy issues. Categories of applied heat transfer problems. prereq: 3333, CSE upper div or grad student
ME 8262 - Topics in Modeling and Analysis of Manufacturing Processes
Credits: 4.0 [max 12.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall & Spring
Advanced topics in Manufacturing. Analytical/numerical modeling of manufacturing processes. Use of computer-based modeling tools and computer controlled manufacturing machines. Comparison of predictions/measurements of process variables and part characteristics. Part production/testing. Processes, technologies, and topics vary with each offering. prereq: 3221, AEM 3016
ME 8381 - Bioheat and Mass Transfer
Credits: 3.0 [max 3.0]
Typically offered: Periodic Summer
Analytical/numerical tools to analyze heat/mass transfer phenomenon in cryobiological, hyperthermic, other biomedically relevant applications. prereq: CSE grad student, upper-division transport/fluids course; [physics, biology] recommended
ME 8775 - Technical Communication
Credits: 1.0 [max 1.0]
Grading Basis: S-N or Aud
Typically offered: Periodic Fall
One-day workshop on presenting a seminar. Students deliver one-hour seminar on technical topic and attend nine other technical seminars.
MGMT 6050 - Management of Innovation and Change
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Periodic Fall & Spring
How organizations innovate/change. Focuses on innovation in wide variety of new technologies, products, programs, and services. What paths likely to lead to success/failure. prereq: MBA student
MGMT 6100 - Topics in Management
Credits: 2.0 -4.0 [max 8.0]
Grading Basis: A-F only
Typically offered: Periodic Fall & Spring
Topics vary. prereq: CSOM grad student or instr consent
MILI 6235 - Pharmaceutical Industry: Business and Policy
Credits: 2.0 [max 2.0]
Prerequisites: MBA student
Grading Basis: A-F only
Typically offered: Every Spring
Business/policy issues specific to pharmaceutical industry. Interdisciplinary perspectives, active involvement by industry leaders.
MILI 6562 - Information Technology in Health Care
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall
Theoretical/conceptual base for health care information technology. Applications of current/developing health IT. Approaches to evaluate effectiveness of health IT systems. Information technology, computer technology, and data structures commonly found in health care information systems. Information system design/evaluation. prereq: MBA student
MILI 6589 - Medical Technology Evaluation and Market Research
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Spring
Hands-on experience in creating a value proposition for new medical technologies. Leadership pathways in medical technology, insurance, and delivery industries. Personal input from industry leaders United Health Group, Medtronic, and Mayo Clinic. prereq: MBA student
MILI 6726 - Medical Device Industry: Business and Public Policy
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall
This course, with the insight of industry leaders, addresses public-private sector interactions and the business, public policy, regulatory, and technology management issues that concern medical device and biotechnology companies.
MILI 6990 - The Health Care Marketplace
Credits: 2.0 [max 2.0]
Course Equivalencies: 02186 - MILI 5990/MILI 6990
Grading Basis: A-F only
Typically offered: Every Fall & Spring
Survey of trillion dollar medical industry. Physician/hospital services, insurance, pharmaceuticals, medical devices, information technology. Scale, interactions, inter-relationships, market opportunities, barriers. prereq: MBA student
MILI 6991 - Anatomy and Physiology for Managers
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Spring
Overview of medical vocabulary/physiology of major body systems. Understanding current clinical practice. Market opportunities of major body systems, Medical technology innovation.
MILI 6992 - Healthcare Delivery Innovations:Optimizing Cost and Quality
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall
Healthcare delivery. Analyze value for population.
MILI 6995 - Medical Industry Valuation Laboratory
Credits: 2.0 [max 6.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Interdisciplinary student teams create rapid production market analysis of promising medical technologies/services to determine potential for success in market. Exposure to University innovations, venture firms, inventors. prereq: Grad student
MKTG 6088 - Strategic Marketing
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Determining product-markets where organization should compete. Sustainable competitive advantage. Matching marketing strategy with environment. Coordinating marketing, other business functions. Organizing marketing function/management. prereq: MBA 6210, MBA student
NEUR 5230 - Cerebrovascular Hemodynamics and Diseases I
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall
Principles of cerebrovascular disease/pathophysiology, hemodynamics, diagnostic imaging, and endovacular devices. Bench-to-bedside experiments. Clinical trials, including design constraints and biostatistics. prereq: [[PHSL 3051 or PHSL 3063], [MATH 1271 or MATH 1371], [MATH 1272 or MATH 1372], [PHYS 1201W or PHYS 1301W], instr consent] or [grad student, [PHSL 5061 or instr consent]]
NEUR 5240 - Cerebrovascular Hemodynamics and Diseases II
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Spring
Principles of cerebrovascular disease/pathophysiology, hemodynamics, diagnostic imaging, and endovacular devices. Bench-to-bedside experiments. Clinical trials, including design constraints and biostatistics. Treatment options, endovascular devices, design of new clinical studies. prereq: 5230, instr consent
PDES 5701 - Creativity, Idea Generation, and Innovation
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall
Introduction to a variety of creativity and idea generation tools with an emphasis on innovative product concept development. Students apply different toolsets to an ongoing project. Starting with a general theme, students explore problems and concepts, practice using a variety of idea generation tools, and learn methods of evaluating/selecting concepts. Customer needs, benchmarking, and intellectual property.
PDES 5702 - Concept Sketching and Rendering
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall
Sketching and marker rendering for communication of conceptual product design. Free-hand 2-point perspective. Weekly drawing assignments/presentations. Students keep a sketchbook to develop ideas/drawings.
PDES 5704 - Computer-Aided Design Methods
Credits: 3.0 [max 3.0]
Course Equivalencies: 02062
Grading Basis: A-F only
Typically offered: Every Spring
Overview of how to make well-modeled, properly illuminated, and carefully composed digital models of existing/conceptual objects. prereq: Senior or grad student
PHSL 5061 - Principles of Physiology for Biomedical Engineering
Credits: 4.0 [max 4.0]
Typically offered: Every Fall
Human physiology with emphasis on quantitative aspects. Organ systems (circulation, respiration, renal, gastrointestinal, endocrine, muscle, central and peripheral nervous systems), cellular transport processes, and scaling in biology. prereq: Biomedical engineering grad, one yr college chem and physics and math through integral calculus
PHSL 5510 - Advanced Cardiac Physiology and Anatomy
Credits: 2.0 -3.0 [max 3.0]
Typically offered: Every Spring
Fundamental concepts, advanced topics related to clinical/biomedical cardiac physiology. Lectures, laboratories, workshops, anatomical dissections. Intense, one week course. prereq: instr consent
PHSL 5525 - Anatomy and Physiology of the Pelvis and Urinary System
Credits: 1.0 -2.0 [max 2.0]
Course Equivalencies: 01795
Grading Basis: A-F only
Typically offered: Every Spring
Two-day intensive course. Pelvis, perineum, and urinary system with cadaveric dissection. Structure/function of pelvic and urinary organs, including common dysfunction and pathophysiology. Laboratory dissections, including kidneys, ureters, urinary bladder, pelvic viscera and perineum (male or female), pelvic floor, vascular and nervous structures. Grand rounds section. prereq: One undergrad anatomy course, one undergrad physiology course, instr consent
PSY 5065 - Functional Imaging: Hands-on Training
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Basic neuroimaging techniques/functional magnetic resonance imaging (fMRI). First half of semester covers basic physical principles. Second half students design/execute fMRI experiment on Siemens 3 Tesla scanner. prereq: [3801 or equiv], [3061 or NSCI 3101], instr consent
PUBH 6751 - Principles of Management in Health Services Organizations
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Understanding of and improvement in the competencies of managers in organizations, particularly as applied to health services and public health organizations. prereq: [Public hlth MPH or MHA or certificate] student or [environmental health MS or PhD] student or dentistry MS student or instr consent
PUBH 6832 - Economics of the Health Care System
Credits: 3.0 [max 3.0]
Course Equivalencies: 00293 - Econ 5890/PubH 5893
Typically offered: Every Fall
Development of traditional issues in health economics. Production of health, demand for health capital and health care, insurance theory and markets, managed care, pricing, physician's services, production and costs in health care institutions, role of government, cost effectivness analysis, reform. prereq: [[Grad or professional school] student, knowledge of [microeconomic analytical tools, analytical statistics]] or instr consent
PUBH 6862 - Cost-Effectiveness Analysis in Health Care
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Government regulations. New technologies. Diagnosis/treatment protocols. Strengths, limitations, appropriateness of different approaches. prereq: instr consent; introductory econ course recommended
RSC 5101 - Mathematical Tools for Research Applications in Health, Rehab, and Human Movement Sciences
Credits: 1.0 [max 1.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Quantitative research approaches in health, rehabilitation, human movement sciences. Application examples/practice problems focus of the course. Basic algebra/geometry, solving equations for unknowns, logarithmic transforms, derivatives/integrals, matrix methods, use of macros in research applications. prereq: Basic algebra, trigonometry, and geometry. Pre-calculus or calculus is helpful but not required.
RSC 5106 - Introduction to Rehabilitation Science
Credits: 1.0 [max 1.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall
This is one of a series of seminar courses that prepares students to think critically in reading and discussing the literature in rehabilitation science and to speak and write persuasively on scientific topics. This semester, the seminar will focus on the past, present, and future of rehabilitation science. This course will include lecture presentations from rehabilitation science faculty for the first 50 minutes of the weekly class time, as well as discussion/interaction sessions planned jointly by assigned students and faculty for the second 50 minute session each week.
RSC 5135 - Advanced Biomechanics I: Kinematics
Credits: 3.0 [max 3.0]
Course Equivalencies: 02431
Grading Basis: A-F or Aud
Typically offered: Fall Odd Year
How to describe/measure movement. Basic/applied biomechanics, pathokinesiology, and rehabilitation literature. Lecture, lab, seminar discussion. Meets with RSC 8135. prereq: instr consent
RSC 5200 - Introduction to Transcranial Magnetic Stimulation
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Theory/application of transcranial magnetic stimulation (TMS)to measure corticospinal excitability. Must sign consent form. Resting/active motor thresholds, single hemisphere paired-pulse testing, bilateral interhemispheric inhibition paired-pulse testing, input-output recruitment curves, cortical silent periods, H reflex testing.
RSC 5231 - Clinical Biomechanics
Credits: 2.0 -5.0 [max 5.0]
Course Equivalencies: 00598
Prerequisites: &PT 6231, general physics, [intro or short] calculus, anatomy; intensive anatomy course in human cadaver dissection recommended
Grading Basis: A-F only
Typically offered: Every Fall
Biomechanics. Internal/external forces/structures responsible for normal/abnormal human movement. Joint and tissue mechanics, muscle function, task analysis, and gait mechanics. Lecture and lab practice. prereq: concurrent registration is required (or allowed) in PT 6231, general physics, [intro or short] calculus, anatomy; intensive anatomy course in human cadaver dissection recommended
RSC 5281 - Scientific Foundations: Exercise Theory
Credits: 3.0 [max 3.0]
Course Equivalencies: 00855 - PT 6281/RSC 5281
Prerequisites: Rehabilitation Science grad student
Grading Basis: A-F only
Typically offered: Every Fall
In-depth presentation of fundamental concepts in exercise physiology/exercise biochemistry related primarily to skeletal muscle, secondarily to cardiovascular system/connective tissue. Exercise/performance-enhancing ergogenic aids. prereq: Rehabilitation Science grad student
SCB 8181 - Stem Cell Biology
Credits: 3.0 [max 3.0]
Course Equivalencies: 01725
Typically offered: Every Fall
Stem cell research and its applications. Critical analysis, written summaries/critiques, oral presentations. prereq: [[GCD 4034], [GCD 4161]] or equiv or instr consent
ST 8109 - Cybersecurity Foundations - Technology, Risk & Communication
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall
Explore cyber security risks through evaluation of consumer driven technology concepts and their applicability to enterprise. Core technology concepts that face both consumers and businesses. How technology works, how to understand and communicate risks to business management, deliver actionable risk mitigation approaches. Security standards and benchmarks that guide industry. This course is also open to non-ST graduate students and non-degree graduate students who may register with permission/consent from the ST program. (DGS, DGSA or teaching faculty.)
ST 8110 - Security Science and Technology Foundations
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Summer
Essential areas of emerging science and pivotal technology disciplines for homeland security. Nanotechnology, sensor networks (biosensing, critical infrastructure protection), food and biosafety, cyber and control systems security, and secure energy technologies. Current state-of-the-art status for each technology, together with barriers and opportunities for commercialization. prereq: Admitted student in security technologies program
ST 8111 - Methods, Theory, and Applications
Credits: 2.5 [max 2.5]
Grading Basis: A-F only
Typically offered: Every Fall
Methods, theory, techniques and models for understanding risk and implementing security strategies. Processes, methods, and application of risk assessment and management. Approaches for building scenarios, assessing the effectiveness of alternative management strategies, and designing risk management and mitigation plans. Case studies/simulations. How to use emergency management tools, techniques, and resources.
ST 8113 - Information and Cyber Security
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Spring
Existing and emerging IT, cyber, communication networks, and coordination activities during emergencies. Technological and policy issues for the need to share information through the use of interoperable technologies and to rapidly collect and synthesize data in real time in order to achieve critical national security. In addition to MSST grad students this course is also open to non-ST graduate students and non-degree graduate students who may register with permission/consent from the ST program (DGS, DGSA or teaching faculty).
ST 8220 - Vulnerability, Risk and Threat Assessment and Management
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Spring Even Year
Principles, methods, and practices of threat and vulnerability assessment/risk reduction. Integration of risk assessment and management principles into strategic planning/decision-making. Case studies. Examples of risk assessment/management. prereq: Admitted to MSST grad program
ST 8330 - Critical Infrastructure Protections
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Summer
Systems risk analysis, engineering, economics, and public policy. Investigate infrastructure security/support design and management of complex civil infrastructure systems. Systems' vulnerability assessment, asset and risk management, investigation of infrastructure interdependencies and couplings, along with judicious analyses of policies. Contribution of science and technology to strategically enhance security/quality of life. prereq: MSST grad student
ST 8331 - Dynamic Systems Modeling and Simulation Tools
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall
Techniques for modeling complex systems and predicting and evaluating consequences, risks and the potential utility of interventions and countermeasures in the context of intentional disruption or use of the system as an attack vehicle. Importance of inter/intra system modeling. Variety of modeling approaches. How systems can be characterized focusing on the parameters that are important for consequence assessment, risk assessment, capability benchmarking, and decision support. Develop a systems and simulation-based approach to risk assessment, preparedness, intervention assessment, and problem solving.
ST 8513 - Cyber Threat Intelligence
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Spring
The educational objective of this course is to provide students the foundational theory and applied skill in cyber threat intelligence analysis. This includes all phases of the intelligence life cycle: requirements development, collection, analysis methods, and reports and briefings for organizational leaders to influence risk-based cyber security decisions. The class counts as an elective for the MSST major and is also open to other graduate students after consultation with the director of graduate studies and a background check.
ST 8661 - Securing Cyberspace (Fundamentals)
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall
The course is a two-course sequence which provides a comprehensive technical and logical foundation for defending an organization against cyber security threats. ST 8661 will be offered every fall and ST 8662 every spring.
ST 8662 - Securing Cyberspace - Advanced
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Spring
The course is a two-course sequence which provides a comprehensive technical & logical foundation for defending an organization against cyber security threats. The class is open to other grad students & upper undergrads after an interview with the director of graduate studies.