Program Details : University Catalogs : University of Minnesota

MDI 5001 - Technical Writing Essentials

Credits:	0.5 [max 1.0]
Grading Basis:	A-F only
Typically offered:	Every Fall

This course lays the groundwork for the Medical Device Innovation capstone as well as aspects of technical writing critical for success in the Medical Device Innovation MS program. prereq: grad MDI major

MDI 5002 - Technology Foresight and Forecasting

Credits:	2.0 [max 3.0]
Grading Basis:	A-F only
Typically offered:	Every Fall, Spring & Summer

Tools and techniques for technology forecasting, assessment, foresight for decision making in medical device industry. Topics include technology dynamics, research and development, portfolio management, and resource allocation. prereq: grad MDI major

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 5006 - Finance, Valuation, and Entrepreneurship

Credits:	3.0 [max 3.0]
Grading Basis:	A-F only
Typically offered:	Every Summer

Course provides students the opportunity to develop the entrepreneurial skills important in managing design, development, and commercialization of medical devices. Focuses on creating value within the organization, financial methods important to managers in technology-based organizations, and business plan development. Topics include budgeting capital, projecting financial needs, and managing working capital. Registration is limited to MDI students only.

MDI 5008 - Quality, Regulatory and Operations Management

Credits:	3.0 [max 3.0]
Grading Basis:	A-F only
Typically offered:	Every Fall, Spring & Summer

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:	2.0 [max 3.0]
Grading Basis:	A-F only
Typically offered:	Every Spring

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 Strategic Analysis

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 - Biodesign 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 - Biodesign 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 - Biodesign Practicum III

Credits:	2.0 [max 2.0]
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.

ABUS 4043 - Project Management in Practice

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Introduction to project management: tools and techniques for defining, scheduling, and managing a project. Learn about team development and ways to enhance team performance through planning and executing a project. Requires use of MS Project, which will be made available to students without cost via download. prereq: 45 cr completed

ABUS 4509 - New Product Development

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

How new consumer, industrial, and service products are planned/developed. Idea generation, concept/buyer testing, pricing, sales/profit strategies, product positioning, promotion, packaging/distribution. Marketing case histories. Student projects. prereq: [[4103 or 4701 or Mktg 3001], at least 45 cr] or instr consent

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 5041 - Tissue Engineering

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Fundamentals of wound healing and tissue repair; characterization of cell-matrix interactions; case study of engineered tissues, including skin, bone marrow, liver, vessel, and cartilage; regulation of biomaterials and engineered tissues. prereq: CSE upper div or grad student or med 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 instructor 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:	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: CSE upper division student, CSE graduate student, or instructor approval. recommended: BMEn 3411

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 Spring

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

Healthcare is full of gray areas, high stakes situations, and tensions between personal and professional values. This course explores the moral nature of the healthcare professions and common values-based conflicts in clinical practice. By examining everyday cases, exploring current issues in healthcare, and developing habits of reflective practice, learners will have the opportunity to recognize and respond to moral uncertainties that arise in the interprofessional clinical environment. The course presents practical knowledge and skills needed for ethics deliberation and decision making. This is a blended instruction course where students can expect a majority of sessions held in-person and occasional online sessions.

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:	Bthx 5325/Phil 5325
Typically offered:	Every Fall

This online course examines contemporary issues in bioethics, focusing on practical issues that arise in clinical care, public health, and health policy settings. The course also introduces conceptual frameworks and methods to analyze these issues, though the emphasis will be on challenges faced by patients and their loved ones, health professionals, and policy makers, not on ethical theory. To fully understand and evaluate these complex issues, it is critical that we consider them from a diversity of perspectives. Hence, we will spend most of our time in class discussion, openly and respectfully listening to and engaging with each other in interdisciplinary/interprofessional conversation. Class meetings will be fully online via Zoom; no in-person meetings will be required. This course has been approved for Interprofessional Education (IPE) credit for health professions students. 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:	Bthx 5411/Law 6611
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:	Bthx 5453/Law 6853
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:	2.0 [max 3.0]
Course Equivalencies:	Bthx 8114/GCD 8914
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

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

Two related movements have emerged in American health care. The first is an emphasis on medical enhancement, or the use of medical technologies to improve the looks, performance and psychological well-being of people who are healthy. The second is the submission of the American health care system to the machinery of consumer capitalism. This seminar will use an interdisciplinary set of texts to explore the implications of medical consumerism. How is the consumerist model of medicine shaping our concepts of disease and disability? What larger historical developments have led to our current situation? How are the tools of medical enhancement shaping the way we think about our identities and the way we live our lives? Teaching modality: In-Person Classes.

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:	CSci 5204/EE 5364
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:	CSci 4211/CSci 5211/INET 4002
Typically offered:	Every Fall

Concepts, 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 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/CSci 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: 4041 or 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

DES 5185 - Human Factors in Design

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Exploration of the theories and methods that influence the assessment of physical, cognitive, social, and psychological human factors, and the analysis of user needs with application to designed products and systems that interact with a human user or the human body. This course is an introductory overview to the theories and concepts of Human Factors and their application through the methods of User-Centered Design. Typically, the class is comprised of students from a wide variety of disciplines and backgrounds. Course material is explored through readings, lectures, discussions, case studies, and course projects.

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:	3.0 [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 5251 - Optimal Filtering and Estimation

Credits:	3.0 [max 3.0]
Course Equivalencies:	AEM 5451/EE 5251
Typically offered:	Every Fall

Basic probability theory, stochastic processes. Gauss-Markov model. Batch/recursive least squares estimation. Filtering of linear/nonlinear systems. Continuous-time Kalman-Bucy filter. Unscented Kalman filter, particle filters. Applications. prereq: [[[MATH 2243, STAT 3021] or equiv], CSE grad student] or dept consent; 3025, 4231 recommended

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.

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 8551 - Multirate Signal Processing and Applications

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall & Spring

Multirate discrete-time systems with applications in modern signal and data processing problems. Hilbert Spaces and Linear Operators; Reisz Bases and Frames; Vector Space Representation of Sampling, Interpolation, Time-frequency analysis and wavelets; Filterbanks and Polyphase Structures; Sparsity and redundancy with applications in linear and nonlinear approximation, super-resolution, blind-source separation. prereq: [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 6025 - Introduction to Entrepreneurship

Credits:	2.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Spring & Summer

The course helps students develop insights on starting and sustaining a successful venture. The course focus is on opportunity identification and evaluation: Where do new venture ideas come from? How do you recognize a good business idea? How can a so-so idea be improved to be a good opportunity? Students will focus on five characteristics of a good entrepreneurial opportunity: Creating significant customer value, profit potential, profit durability, founder and team fit, and amenability to financing. prereq: MBA or Mgmt Sci 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]
Typically offered:	Every 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:	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:	IE 4541/IE 5541
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 & Spring

Single-person and group decision problems. Structuring of decision problems arising in personal, business, and public policy contexts. Decision-making under uncertainty, value of information, games of complete information and Nash equilibrium, Bayesian games, group decision-making and distributed consensus, basics of mechanism design. prereq: 3521 or equiv

IE 5551 - Production and Inventory Systems

Credits:	4.0 [max 4.0]
Typically offered:	Every 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:	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 6111 - Organizational Behavior

Credits:	2.0 [max 2.0]
Grading Basis:	A-F only
Typically offered:	Every Fall, Spring & Summer

Organizational behavior offers a framework for the systematic study of how people behave in organizational settings and involves individual, group, and organizational characteristics that affect people and their behavior at work. In this course we consider how individual workers respond to their job and organization (attitudes and motivation), interpersonal processes and how to make them more effective (decision making, conflict management, teamwork), and the role organizational culture in shaping individual and group behavior. Topics come together as we consider how to effectively lead organizational change. Prior to Fall 2022 the course number was MBA 6110. Prior to Spring 2023 the course name was Leading Others.

MBA 6301 - Strategic Management

Credits:	3.0 [max 3.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

This course focuses on the competitive strategy of the firm, examining how firms achieve and maintain superior profitability relative to their competitors in the long run, and the firm's role in building a more just and sustainable world. Starting from overall industry analysis, we cover how firms position themselves to succeed in various competitive contexts based on their resources and capabilities. We then analyze how firms innovate and adapt their capabilities over time, especially in the digital age. We extend our analysis to the scope choices of the firm and discuss how firms can successfully compete across multiple countries and businesses. Throughout the course, case discussions examine and simulate the process through which strategic decisions are made and carried out. Students are placed in the role of decision-makers and frequently asked to analyze the key choices they must make to define, reinforce, and successfully implement the firm's strategy. prereq: MBA or Mgmt Sci 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 6055 - Management of Innovation and Change

Credits:	2.0 [max 2.0]
Course Equivalencies:	Mgmt 6050/Mgmt6055
Grading Basis:	A-F only
Typically offered:	Every 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 or Mgmt Sci MBA student

MGMT 6100 - Topics in Management

Credits:	2.0 [max 4.0]
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]
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

This course aims to provide knowledge of the skills, data, and methodology required to critically evaluate new medical technologies in order to meet financial investment as well as regulatory compliance objectives, such as FDA approval. The course is designed to provide an introduction to the analytic tool kit needed to critically evaluate new medical technology, such as cost-benefit analysis, cost effectiveness analysis as well as other decision-analytic models and markov-models.

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 6985 - The Health Care Marketplace

Credits:	2.0 [max 2.0]
Course Equivalencies:	MILI 5990/6990/3585/5585
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

Understand stakeholders that impact healthcare delivery including providers, payers, employers and patients and how they are trying to transform this unique value chain to improve care while reducing cost.

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:	3.0 [max 3.0]
Grading Basis:	A-F only
Typically offered:	Every Fall, Spring & Summer

This course looks at strategic decision-making, trade-offs and resource allocation in markets, methods for creating advantage at both the industry and the firm level, the impacts of strategic decisions, and appropriate investment and performance management frameworks. Utilizing an integrated approach to the use of marketing tools and concepts in the formulation and execution of the marketing plan. The material is presented with case studies, lectures, readings, and guest speakers. Focusing on development of framework for strategic marketing planning based on market insights, customer behavior, market segmentation, product positioning, customer experience, market responsiveness, and competitive reaction. The course is designed to be essential for students interested in careers in marketing management, brand management, product management, strategic consulting, and leadership development programs. prereq: MBA 6210/6211, MBA or Mgmt Sci 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]]

PDES 5701 - User-Centered Design Studio

Credits:	4.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Spring

This class provides a studio-based overview of user-centered product design and development processes. Students will practice both user and market research, creativity and idea generation tools, concept evaluation/selection techniques, prototyping methods for concept development and communication, and user testing. This class will also cover fundamentals of intellectual property and manufacturing. In this studio, students will apply these skills towards the development of a product concept.

PDES 5702 - Visual Communication

Credits:	3.0 [max 3.0]
Grading Basis:	A-F only
Typically offered:	Every Fall

This class provides an overview of sketching, manual rendering and Adobe Photoshop, Illustrator, and InDesign for communication of conceptual product design. Topics covered will include free-hand perspective drawing of simple/complex geometries, line weight/quality, shading/shadow, design details and annotations, as well as image editing, vector graphics, and multi-page layout design. There will be weekly drawing assignments and critique of work.

PDES 5704 - Computer-Aided Design Methods

Credits:	3.0 [max 3.0]
Grading Basis:	A-F only
Typically offered:	Every Fall

This class provides an overview of how to make high-quality digital computer-based models of existing and conceptual products and interactions. Students will learn Adobe Photoshop, Adobe Illustrator, and Axure for two-dimensional design and digital prototyping. Students will also learn SolidWorks and KeyShot for three-dimensional solid modeling and rendering. 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:	Anat 5525/Phsl 5525
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]
Typically offered:	Every Fall

Examines applications of microeconomic principles to the U.S. health care system. Topics include demand for medical care, insurance theory and selection issues, provider payment, competition in health care markets, the health care workforce, pharmaceutical prices and innovation, health care spending growth, quality of care, externalities, the relationship between income and health, and the economics of the opioid epidemic. Prerequisite: an introductory economics or microeconomic theory course ? or permission of the instructor.

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]
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:	RSc 5135/RSc 8135
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 Neuromodulation

Credits:	1.0 -3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Fall Even Year

This course will provide training in the theory, biophysics and evidence-based application of non-invasive magnetic and electric brain stimulation in humans. Course content will be delivered in three modules: (1) safety and administration of non-invasive brain stimulation, (2) neuromodulation methods, and (3) advanced assessment and modeling techniques. All registered students must take module #1. Testing methods will include various methods to assess intracortical, transcallosal and interhemispheric excitability. Neuromodulation methods presented will include non-invasive and invasive forms of brain stimulation. Hands-on instruction and laboratory applications will be provided for cortical excitability testing using transcranial magnetic stimulation (TMS) as well as for other non-invasive forms of brain stimulation. Those enrolled will both administer and receive non-invasive brain stimulation and will be asked to sign a consent form. Specific safety exclusion criteria for receiving non-invasive brain stimulation exist and enrollees who have questions should contact the Division of Rehabilitation Science.

RSC 5231 - Clinical Biomechanics

Credits:	2.0 -5.0 [max 5.0]
Course Equivalencies:	PT 6231/RSC 5231
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 - Physiology for Physical Rehabilitation

Credits:	2.0 -4.0 [max 4.0]
Course Equivalencies:	PT 6281/RSC 5281
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

This course provides an in-depth presentation of fundamental concepts in tissue and organ system physiology as it relate to general health, aging, and physical exercise. Emphasis is on the following systems: muscle, bone & connective tissue, endocrine, immune, renal, gi, and hematology. Influence of aging on these systems will be addressed as well. prereq: Rehabilitation Science grad student

SCB 8181 - Stem Cell Biology

Credits:	3.0 [max 3.0]
Course Equivalencies:	GCD 8181/SCB 8181
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:	2.5 [max 3.0]
Grading Basis:	A-F only
Typically offered:	Every Fall

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 Protection

Credits:	2.5 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

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.

MDI 5020 - Medical Device Innovation Capstone

Credits:	1.0 -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.

University Catalogs

Medical Device Innovation M.S.