Courses tagged with "Infor" (2510)

This course illustrates how knowledge and principles of biology, biochemistry, and engineering are integrated to create new products for societal benefit. It uses a case study format to examine recently developed products of pharmaceutical and biotechnology industries: how a product evolves from initial idea, through patents, testing, evaluation, production, and marketing. Emphasizes scientific and engineering principles; the responsibility scientists, engineers, and business executives have for the consequences of their technology; and instruction and practice in written and oral communication.

The topic focus of this class will vary from year to year. This version looks at inflammation underlying many diseases, specifically its role in cancer, diabetes, and cardiovascular disease.

This course covers sensing and measurement for quantitative molecular/cell/tissue analysis, in terms of genetic, biochemical, and biophysical properties. Methods include light and fluorescence microscopies; electro-mechanical probes such as atomic force microscopy, laser and magnetic traps, and MEMS devices; and the application of statistics, probability and noise analysis to experimental data. Enrollment preference is given to juniors and seniors.

This course covers sensing and measurement for quantitative molecular/cell/tissue analysis, in terms of genetic, biochemical, and biophysical properties. Methods include light and fluorescence microscopies; electro-mechanical probes such as atomic force microscopy, laser and magnetic traps, and MEMS devices; and the application of statistics, probability and noise analysis to experimental data. Enrollment preference is given to juniors and seniors.

This course covers sensing and measurement for quantitative molecular/cell/tissue analysis, in terms of genetic, biochemical, and biophysical properties. Methods include light and fluorescence microscopies; electro-mechanical probes such as atomic force microscopy, laser and magnetic traps, and MEMS devices; and the application of statistics, probability and noise analysis to experimental data. Enrollment preference is given to juniors and seniors.

In this course problems from biological engineering are used to develop structured computer programming skills and explore the theory and practice of complex systems design and construction.

The official course Web site can be viewed at: BE.180 Biological Engineering Programming.

This course covers the principles of materials science and cell biology underlying the design of medical implants, artificial organs, and matrices for tissue engineering. Methods for biomaterials surface characterization and analysis of protein adsorption on biomaterials. Molecular and cellular interactions with biomaterials are analyzed in terms of unit cell processes, such as matrix synthesis, degradation, and contraction. Mechanisms underlying wound healing and tissue remodeling following implantation in various organs. Tissue and organ regeneration. Design of implants and prostheses based on control of biomaterials-tissue interactions. Comparative analysis of intact, biodegradable, and bioreplaceable implants by reference to case studies. Criteria for restoration of physiological function for tissues and organs.

Analyzes computational needs of clinical medicine reviews systems and approaches that have been used to support those needs, and the relationship between clinical data and gene and protein measurements. Topics: the nature of clinical data; architecture and design of healthcare information systems; privacy and security issues; medical expertsystems; introduction to bioinformatics. Case studies and guest lectures describe contemporary systems and research projects. Term project using large clinical and genomic data sets integrates classroom topics.

This course provides intensive coverage of the theory and practice of electromechanical instrument design with application to biomedical devices. Students will work with MGH doctors to develop new medical products from concept to prototype development and testing. Lectures will present techniques for designing electronic circuits as part of complete sensor systems. Topics covered include: basic electronics circuits, principles of accuracy, op amp circuits, analog signal conditioning, power supplies, microprocessors, wireless communications, sensors, and sensor interface circuits. Labs will cover practical printed circuit board (PCB) design including component selection, PCB layout, assembly, and planning and budgeting for large projects. Problem sets and labs in the first six weeks are in support of the project. Major team-based design, build, and test project in the last six weeks. Student teams will be composed of both electrical engineering and mechanical engineering students.

This course consists of a series of seminars focused on the development of professional skills. Each semester focuses on a different topic, resulting in a repeating cycle that covers medical ethics, responsible conduct of research, written and oral technical communication, and translational issues. Material and activities include guest lectures, case studies, interactive small group discussions, and role-playing simulations.

This seminar based course explores techniques for recognizing, analyzing, and resolving ethical dilemmas facing healthcare professionals and biomedical researchers in today's highly regulated environment. Guest lectures by practicing clinicians, technologists, researchers, and regulators will include case studies, interactive small group discussions, and role-playing simulations. Professional conduct topics will include authorship, conflict of interest, data acquisition and management, and the protection of human subjects and animals involved in research programs.

This course teaches the design of contemporary information systems for biological and medical data. Examples are chosen from biology and medicine to illustrate complete life cycle information systems, beginning with data acquisition, following to data storage and finally to retrieval and analysis. Design of appropriate databases, client-server strategies, data interchange protocols, and computational modeling architectures. Students are expected to have some familiarity with scientific application software and a basic understanding of at least one contemporary programming language (e.g. C, C++, Java, Lisp, Perl, Python). A major term project is required of all students. This subject is open to motivated seniors having a strong interest in biomedical engineering and information system design with the ability to carry out a significant independent project.

This course was offered as part of the Singapore-MIT Alliance (SMA) program as course number SMA 5304.

This course presents the fundamentals of digital signal processing with particular emphasis on problems in biomedical research and clinical medicine. It covers principles and algorithms for processing both deterministic and random signals. Topics include data acquisition, imaging, filtering, coding, feature extraction, and modeling. The focus of the course is a series of labs that provide practical experience in processing physiological data, with examples from cardiology, speech processing, and medical imaging. The labs are done in MATLAB® during weekly lab sessions that take place in an electronic classroom. Lectures cover signal processing topics relevant to the lab exercises, as well as background on the biological signals processed in the labs.

Biomimetics is based on the belief that nature, at least at times, is a good engineer. Biomimesis is the scientific method of learning new principles and processes based on systematic study, observation and experimentation with live animals and organisms. This Freshman Advising Seminar on the topic is a way for freshmen to explore some of MIT's richness and learn more about what they may want to study in later years.

This course focuses on feedback control mechanisms that living organisms implement at the molecular level to execute their functions, with emphasis on techniques to design novel systems with prescribed behaviors. Students will learn how biological functions can be understood and designed using notions from feedback control.

This subject deals primarily with kinetic and equilibrium mathematical models of biomolecular interactions, as well as the application of these quantitative analyses to biological problems across a wide range of levels of organization, from individual molecular interactions to populations of cells.

This class is an interdisciplinary survey that explores the experiences of people of African descent through the overlapping approaches of history, literature, anthropology, legal studies, media studies, performance, linguistics, and creative writing. It connects the experiences of African Americans and of other American minorities, focusing on social, political, and cultural histories, and on linguistic patterns. Activities include lectures, discussions, workshops, and required field trips that involve minimal cost to students.

Consists of a series of hands-on laboratories designed to give students experience with common techniques for conducting neuroscience research. Included are sessions on anatomical, ablation, neurophysiological, and computer modeling techniques, and ways these techniques are used to study brain function. Each session consists of a brief quiz on assigned readings that provide background to the lab, a lecture that expands on the readings, and that week's laboratory. Lab reports required. Students receive training in the art of scientific writing and oral presentation with feedback designed to improve writing and speaking skills. Assignments include two smaller lab reports, one major lab report with revision, and an oral report.

An advanced course covering anatomical, physiological, behavioral, and computational studies of the central nervous system relevant to speech and hearing. Students learn primarily by discussions of scientific papers on topics of current interest. Recent topics include cell types and neural circuits in the auditory brainstem, organization and processing in the auditory cortex, auditory reflexes and descending systems, functional imaging of the human auditory system, quantitative methods for relating neural responses to behavior, speech motor control, cortical representation of language, and auditory learning in songbirds.

This course provides an outline of vertebrate functional neuroanatomy, aided by studies of comparative neuroanatomy and evolution, and by studies of brain development. Topics include early steps to a central nervous system, basic patterns of brain and spinal cord connections, regional development and differentiation, regeneration, motor and sensory pathways and structures, systems underlying motivations, innate action patterns, formation of habits, and various cognitive functions. In addition, lab techniques are reviewed and students perform brain dissections.

There are several hundred thousand Brownfield sites across the country. The large number of sites, combined with how a majority of these properties are located in urban and historically underserved communities, dictate that redevelopment of these sites stands to be a common theme in urban planning for the foreseeable future. Students form a grounded understanding of the Brownfield lifecycle: how and why they were created, their potential role in community revitalization, and the general processes governing their redevelopment. Using case studies and guest speakers from the public, private and non-profit sectors, students develop and hone skills to effectively address the problems posed by these inactive sites.