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Course Criteria
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3.00 Credits
Graduate standing in BME or consent of instructor This course is an introductory graduate level course that integrates mathematical and computational tools that address directly the needs of biomedical engineers. The topics covered include the mathematics of diffusion, pharmacokinetic models, biological fluid mechanics, and biosignal representations and analysis. The use of MATLAB will be emphasized for numerically solving problems of practical relevance. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture Armour College of Engineering College Biomedical Engineering Department
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3.00 Credits
This course seeks to provide students with an introduction to the field of Tissue Engineering. The first portion of the course will introduce the field, including a discussion of cell sourcing, biomaterials, DA, and ethical considerations. The second portion of the course will present case studies in specific tissue and organ systems in which these concepts are put together in an attempt to develop a clinically applicable tissue engineered product. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture Armour College of Engineering College Biomedical Engineering Department
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3.00 Credits
This course will introduce graduate students to the mathematical theory of inverse problems. Concept from functional analysis will be applied for understanding and characterizing mathematical properties of inverse problems. This will permit for the analysis of the stability and resolution of image reconstruction algorithms for various existing and novel biomedical imaging systems. The singular value decomposition (SVD) is introduced and applied for understanding fundamental properties of imaging systems and reconstruction algorithms. Instructor permission required. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture Armour College of Engineering College Biomedical Engineering Department
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3.00 Credits
This course is an introduction to basic concepts in medical imaging, such as: receiver operating characteristics, the rose model, point spread function and transfer function, covariance and auto covariance, noise, filters, sampling, aliasing, interpolation, and image registration. Instructor permission required. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture Armour College of Engineering College Biomedical Engineering Department
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3.00 Credits
This course is designed to cover the tools and techniques of modern statistics with specific applications to biomedical and clinical research. Both parametric and nonparametric analysis will be presented. Descriptive statistics will be discussed although emphasis is on inferential statistics and experimental design. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture Armour College of Engineering College Biomedical Engineering Department
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3.00 Credits
This is an introduction to the Physics and technology of magnetic resonance imaging (MRI). the topics that are covered include: basic MR physics, source of signal, signal acquisition, pulse sequences, hardware, artifacts, spectroscopy, and advanced imaging techniques. Instructor permission required. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Lecture Armour College of Engineering College Biomedical Engineering Department
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3.00 Credits
This course describes the use of different imaging modalities to study brain function and connectivity. The first part of the course deals with brain function. It includes an introduction to energy metabolism in the brain, cerebral blood flow, and brain activation. It continues with an introduction to magnetic resonance imaging (MRI), perfusion-based fMRI, Bold fMRI, fMRI paradigm design and statistical analysis, introduction to positron emission tomography, (PET) and studying brain function with PET, introduction to magneto encephalography (MEG) and studying brain function with MEG. The second part of the deals with brain connectivity. It includes an introduction to diffusion tensor MRI, explanation of the relationship between the diffusion properties of tissue its structural characteristics, and white matter fiber tractography techniques. Instructor permission required. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Sc
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3.00 Credits
Introduction to Business as a profession. Topics include the role of business in our society, career opportunities in business, the interface between business and technology, business ethics, and communication skills. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Stuart School of Business College Business Administration Department Course Attributes: Communications Requirement, Ethics Content
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3.00 Credits
This course will provide a basic introduction to accounting and marketing principles, two of the core business skills that every entrepreneur, engineer or scientist involved with new product introduction needs. It is intended for engineering, science and architecture students who are not taking a business minor. This course will not count towards a business degree or business minor. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Stuart School of Business College Business Administration Department
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3.00 Credits
Basic financial and managerial accounting topics: GAAP, the major financial statements, accrual accounting, financial reporting alternatives, financial statement analysis, cost behavior, cost systems, short-term and long-term decision-making, and product costing. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Stuart School of Business College Business Administration Department
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