keywords:
Engineering
Electrical Engineering
Health and Medicine
Signal Processing
Biomedical Signal and Image Processing
Spectroscopy
Biomedical Instrumentation
Medical Imaging

uk: Медицина / Науки про здоров'я

description:
This team-taught multidisciplinary course provides information relevant to the conduct and interpretation of human brain mapping studies. It begins with in-depth coverage of the physics of image formation, mechanisms of image contrast, and the physiological basis for image signals. Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. Additional topics include: fMRI experimental design including block design, event related and exploratory data analysis methods, and building and applying statistical models for fMRI data; and human subject issues including informed consent, institutional review board requirements and safety in the high field environment.

##### {{< anchor "fellows" >}}{{< /anchor >}}Additional Faculty

Div Bolar

Dr. Bradford Dickerson

Dr. John Gabrieli

Dr. Doug Greve

Dr. Karl Helmer

Dr. Dara Manoach

Dr. Jason Mitchell

Dr. Christopher Moore

Dr. Vitaly Napadow

Dr. Jon Polimeni

Dr. Sonia Pujol

Dr. Bruce Rosen

Dr. Mert Sabuncu

Dr. David Salat

Dr. Robert Savoy

Dr. David Somers

Dr. A. Gregory Sorensen

Dr. Christina Triantafyllou

Dr. Wim Vanduffel

Dr. Mark Vangel

Dr. Lawrence Wald

Dr. Susan Whitfield-Gabrieli

Dr. Anastasia Yendiki

de: keine Anmeldung erforderlich

uk: вхід без авторизації

name: Functional Magnetic Resonance Imaging: Data Acquisition and Analysis


Final Exam

Massachusetts Institute of Technology

addressCountry: US

addressLocality: Cambridge

addressRegion: Massachusetts

type: Organization

Randy Gollub

honorificPrefix: Dr.

type: Person

de: Humanmedizin/Gesundheitswissenschaften

uk: Медицина / Науки про здоров'я

en: Human Medicine / Health Sciences

de: Elektrotechnik und Informationstechnik

uk: Електротехніка та інформаційні технології

en: Electrical Engineering and Information Engineering

cs: Technické vědy

de: Ingenieurwissenschaften

fi: tekniikka

uk: Інженерія

en: Engineering Sciences

fr: Ingénierie

da: Ingeniørvidenskab

es: Ingeniería

nl: Engineering

description: Final exam on the conduct and interpretation of human brain mapping studies.

MIT OpenCourseWare

type: Service

type: WebContent

@language: en

cs: přihlášení není vyžadováno

uk: вхід без авторизації

en: no login required

nl: geen login vereist

cs: Cvičení

de: Übung

fi: Harjoitus

uk: Практика

en: Drill and Practice

fr: Apprentissage par Répétition

da: Øvelse

nl: Oefenen

es: Práctica


Final Exam (and answer key)

uk: Медицина / Науки про здоров'я

description: Final exam with solutions on the conduct and interpretation of human brain mapping studies.

uk: вхід без авторизації


Midterm Exam

uk: Медицина / Науки про здоров'я

description: Midterm exam on the conduct and interpretation of human brain mapping studies.

uk: вхід без авторизації


Midterm Exam (and answer key)

uk: Медицина / Науки про здоров'я

description: Midterm exam with solutions on the conduct and interpretation of human brain mapping studies.

uk: вхід без авторизації


Bruce Rosen

honorificPrefix: Prof.

keywords:
Science
Health and Medicine
Biology
Biochemistry
Biomedical Signal and Image Processing
Spectroscopy
Biomedical Instrumentation
Medical Imaging

uk: Медицина / Науки про здоров'я

de: Biochemie

uk: Біохімія

en: Biochemistry

de: Biologie

uk: Біологія

en: Biology

de: Mathematik, Naturwissenschaften

uk: Математика, природничі науки

en: Mathematics, Natural Sciences

de: Chemie

fi: kemia

uk: Хімія

en: Chemistry

fr: Chimie

da: Kemi

es: Química

nl: Scheikunde

description: This course is an introduction to basic NMR theory. Examples of biochemical data obtained using NMR are summarized along with other related experiments. Students participate in detailed study of NMR imaging techniques, including discussions of basic cross-sectional image reconstruction, image contrast, flow and real-time imaging, and hardware design considerations. Exposure to laboratory NMR spectroscopic and imaging equipment is included.

uk: вхід без авторизації

name: Magnetic Resonance Analytic, Biochemical, and Imaging Techniques

cs: Kurz

de: Kurs

fi: Kurssi

uk: Курс

en: Course

fr: Cours

da: Kursus

nl: Cursus

es: Curso


quiz.pdf

uk: Медицина / Науки про здоров'я

uk: Математика, природничі науки

uk: вхід без авторизації


uk: Медицина / Науки про здоров'я

uk: Математика, природничі науки

description: This resource is the solution set for the quiz of this course.

uk: вхід без авторизації


keywords:
Humanities
Ethics
Literature
Philosophy
Academic Writing

de: Philosophie

uk: Філософія

en: Philosophy

de: Ethik

uk: Етика

en: Ethics

de: Geisteswissenschaften

uk: Гуманітарні науки

en: Humanities

description: 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.

uk: вхід без авторизації

name: Biomedical Engineering Seminar Series: Developing Professional Skills


keywords:
Humanities
Ethics
Business
Business Ethics
Philosophy

de: Betriebswirtschaftslehre

uk: Бізнес-адміністрування

en: Business Administration

uk: Гуманітарні науки

de: Rechts-, Wirtschafts- und Sozialwissenschaften

uk: Право, економіка та суспільні науки

en: Law, Economics and Social Sciences

de: Wirtschaftswissenschaften

uk: Бізнес та економіка

en: Business and Economics

description: 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.

uk: вхід без авторизації

name: Biomedical Engineering Seminar Series: Topics in Medical Ethics and Responsible Conduct in Research


Physiology of the Ear

keywords:
Science
Health and Medicine
Anatomy and Physiology
Biology
Neuroscience
Biophysics
Sensory-Neural Systems

uk: Медицина / Науки про здоров'я

de: Psychologie

uk: Психологія

en: Psychology

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: Topics for this course are based primarily on reading and discussions of original research literature that cover the analysis as well as the underlying physical and physiological mechanisms of acoustic signals in the auditory periphery. Topics include the acoustics, mechanics, and hydrodynamics of sound transmission; the biophysical basis for cochlear amplification; the physiology of hair-cell transduction and synaptic transmission; efferent feedback control; the analysis and coding of simple and complex sounds by the inner ear; and the physiological bases for hearing disorders.

uk: вхід без авторизації


The Peripheral Auditory System

uk: Медицина / Науки про здоров'я

en: Human Medicine / Health Sciences

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: In this course, experimental approaches to the study of hearing and deafness are presented through lectures, laboratory exercises and discussions of the primary literature on the auditory periphery. Topics include inner-ear development, functional anatomy of the inner ear, cochlear mechanics and micromechanics, mechano-electric transduction by hair cells, outer hair cells' electromotility and the cochlear amplifier, otoacoustic emissions, synaptic transmission, stimulus coding in auditory nerve responses, efferent control of cochlear function, damage and repair of hair-cell organs, and sensorineural hearing loss.

de: keine Anmeldung erforderlich

uk: вхід без авторизації


Brain Mechanisms for Hearing and Speech

keywords:
Science
Health and Medicine
Anatomy and Physiology
Biology
Neurobiology
Neuroscience
Sensory-Neural Systems

de: Humanmedizin/Gesundheitswissenschaften

uk: Медицина / Науки про здоров'я

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: 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.

uk: вхід без авторизації


Neural Coding and Perception of Sound

keywords:
Science
Health and Medicine
Biology
Cognitive Science
Neurobiology
Neuroscience
Sensory-Neural Systems

uk: Медицина / Науки про здоров'я

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: This course focuses on neural structures and mechanisms mediating the detection, localization and recognition of sounds. Discussions cover how acoustic signals are coded by auditory neurons, the impact of these codes on behavioral performance, and the circuitry and cellular mechanisms underlying signal transformations. Topics include temporal coding, neural maps and feature detectors, learning and plasticity, and feedback control. General principles are conveyed by theme discussions of auditory masking, sound localization, musical pitch, speech coding, and cochlear implants.

uk: вхід без авторизації


Music Perception and Cognition

uk: Медицина / Науки про здоров'я

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: This course is a survey of perceptual and cognitive aspects of the psychology of music, with special emphasis on underlying neuronal and neurocomputational representations and mechanisms. Basic perceptual dimensions of hearing (pitch, timbre, consonance/roughness, loudness, auditory grouping) form salient qualities, contrasts, patterns and streams that are used in music to convey melody, harmony, rhythm and separate voices. Perceptual, cognitive, and neurophysiological aspects of the temporal dimension of music (rhythm, timing, duration, temporal expectation) are explored. Special topics include comparative, evolutionary, and developmental psychology of music perception, biological vs. cultural influences, Gestaltist vs. associationist vs. schema-based theories, comparison of music and speech perception, parallels between music cognition and language, music and cortical action, and the neural basis of music performance.

uk: вхід без авторизації


keywords:
Science
Health and Medicine
Biology
Genetics
Molecular Biology
Microbiology
Sensory-Neural Systems

uk: Медицина / Науки про здоров'я

uk: Математика, природничі науки

description: An introductory course in the molecular biology of the auditory system. First half focuses on human genetics and molecular biology, covering fundamentals of pedigree analysis, linkage analysis, molecular cloning, and gene analysis as well as ethical/legal issues, all in the context of an auditory disorder. Second half emphasizes molecular approaches to function and dysfunction of the cochlea, and is based on readings and discussion of research literature.

uk: вхід без авторизації

name: Molecular Biology for the Auditory System


uk: Медицина / Науки про здоров'я

uk: Математика, природничі науки

description: Pedigree from a family in which sensorineural deafness is present in some members. Squares are males, circles are females, dark symbols are deaf family members, white symbols are normal hearing family members.

uk: вхід без авторизації


uk: Медицина / Науки про здоров'я

uk: Математика, природничі науки

description: Photos of three 2-D gels run on samples exploring hair cell regeneration in sparrows.

uk: вхід без авторизації


uk: Медицина / Науки про здоров'я

uk: Математика, природничі науки

description: Final Exam HST 730/Pathology 205 Lecture #24

uk: вхід без авторизації


Modeling Issues in Speech and Hearing

keywords:
Engineering
Science
Systems Engineering
Health and Medicine
Biology
Computational Modeling and Simulation
Biophysics
Sensory-Neural Systems

uk: Медицина / Науки про здоров'я

uk: Математика, природничі науки

description: This course explores the theory and practice of scientific modeling in the context of auditory and speech biophysics. Based on seminar-style discussions of the research literature, the class draws on examples from hearing and speech, and explores general, meta-theoretical issues that transcend the particular subject matter. Examples include: What is a model? What is the process of model building? What are the different approaches to modeling? What is the relationship between theory and experiment? How are models tested? What constitutes a good model?

uk: вхід без авторизації


keywords:
Health Care Management
Health and Medicine
Business
Information Technology
Biomedical Enterprise

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description:
This innovative, trans-faculty subject teaches how information technologies (IT) are reshaping and redefining the health care marketplace through improved economies of scale, greater technical efficiencies in the delivery of care to patients, advanced tools for patient education and self-care, network integrated decision support tools for clinicians, and the emergence of e-commerce in health care. Student tutorials provide an opportunity for interactive discussion. Interdisciplinary project teams comprised of Harvard and MIT graduate students in medicine, business, law, education, engineering, computer science, public health, and government collaborate to design innovative IT applications. Projects are presented during the final class.

Starting in Spring 2010, this course will be titled _Enabling Technology Innovation in Healthcare and the Life Sciences_.

uk: вхід без авторизації

name: Information Technology in the Health Care System of the Future


keywords:
Engineering
Biological Engineering
Economics
Social Science
Health and Medicine
Biomedicine
Business
Business Ethics
Political Economy
Biotechnology
Biomedical Enterprise

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

de: Volkswirtschaftslehre

uk: Економіка

en: Economics

de: Biotechnologie

uk: Біотехнологія

en: Biotechnology

de: Biomedizin

uk: Біомедицина

en: Biomedicine

de: Sozialwissenschaften/Soziologie

uk: Суспільні науки та соціологія

en: Social Sciences/Sociology

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: In this course, social, ethical and clinical issues associated with the development of new biotechnologies and their integration into clinical practice is discussed. Basic scientists, clinicians, bioethicists, and social scientists present on the following four general topics: changing political economy of biotech research; problems associated with the adaption of new biotechnologies and findings from molecular biology for clinical settings; the ethical issues that emerge from clinical research and clinical use of new technologies; and the broader social ethics of access and inequality.

uk: вхід без авторизації

name: Social Studies of Bioscience and Biotech


keywords:
Engineering
Humanities
Ethics
Biological Engineering
Health and Medicine
Public Health
Biomedicine
Philosophy
Biotechnology

uk: Медицина / Науки про здоров'я

uk: Біотехнологія

de: Ingenieurwissenschaften

en: Engineering Sciences

uk: Гуманітарні науки

uk: Математика, природничі науки

de: Biologie

description: This class provides a space for medical students and MD/PhD students, as well as HASTS (History, Anthropology, Science, Technology, and Society) PhD students to discuss social and ethical issues in the biosciences and biotechnologies as they are being developed. Discussions are with course faculty and with leading figures in developing technologies such as George Daley or George Church in stem cell or genomics research, Bruce Walker or Pardis Sabeti in setting up laboratories in Africa, Paul Farmer and Partners in Health colleagues in building local support systems and first world quality care in Haiti, Peru, and Rwanda, and Amy Farber in building patient-centered therapeutic-outcome research for critical but "orphan" diseases. Goals include stimulating students to think about applying their learning in Boston to countries around the world, including using the experiences they have had in their home countries or research experience abroad. Goals also include a mix of patient-doctor care perspectives from medical anthropology, and moving upstream in the research chain to questions of how to move discoveries from basic research through the pipelines into clinical and bedside care.

uk: вхід без авторизації

en: no login required

name: Introduction to Global Medicine: Bioscience, Technologies, Disparities, Strategies


keywords:
Humanities
Ethics
Literature
Health and Medicine
Philosophy

uk: Медицина / Науки про здоров'я

uk: Гуманітарні науки

description: This eight-session course, designed for a mixed group of first, second, third and fourth-year medical students, uses literary narratives and poetry to study ethical issues in medicine. This methodology emphasizes the importance of context, contingency, and circumstances in recognizing, evaluating, and resolving moral problems. The seminar will focus on developing the skills of critical and reflective reading that increase effectiveness in clinical medicine. Texts will include short fiction and poetry by authors such as Woolf, Chekhov, Carver, Kafka, Hurston, Marquez and Tolstoy. The instructor will provide necessary philosophic and literary context at the beginning of each session, the balance devoted to class discussion. During the course, students will keep a reading journal that examines the meanings of illness, the moral role of the physician, and the relevance of emotions, culture, faith, values, social realities, and life histories to patient care.

uk: вхід без авторизації

name: Narrative Ethics: Literary Texts and Moral Issues in Medicine


keywords:
Engineering
Computer Science
Systems Engineering
Health Care Management
Health and Medicine
Public Health
Business
Information Technology
Software Design and Engineering
Systems Design

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

cs: Informatika

de: Informatik

fi: tietojenkäsittelytiede

uk: Комп'ютерні науки

en: Computer Science

fr: Informatique

da: Datalogi

es: Ciencias de la Computación

nl: Informatica

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description:
This course will explore innovations in information systems for health care delivery in developing countries, and focus not only on the importance of technology, but also on broader issues necessary for its success, such as quality improvement, project management, and leadership skills.

This course is targeted toward individuals interested in designing or implementing a health information and communication technology (ICT) solution in the developing world. Implementing a health information technology project requires multidisciplinary teams. Thus, with this course, we hope to bring together individuals from a variety of disciplines—computer science, medicine, engineering, public health, policy, and business.

What you'll learn:

- Global health burden
- Design thinking
- Health informatics
- Software development process
- Evaluation and monitoring

This course is part of the [Open Learning Library](https://openlearning.mit.edu/courses-programs/open-learning-library), which is free to use. You have the option to sign up and enroll in the course if you want to track your progress, or you can view and use all the materials without enrolling.

uk: вхід без авторизації

name: Global Health Informatics to Improve Quality of Care


keywords:
Science
Innovation
Health Care Management
Health and Medicine
Earth Science
Public Health
Business
Biomedical Enterprise
Sustainability

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

de: Geowissenschaften (ohne Geographie)

uk: Науки про Землю(крім географії)

en: Geosciences (excl. Geography)

de: Mathematik, Naturwissenschaften

uk: Математика, природничі науки

en: Mathematics, Natural Sciences

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description:
Innovation in global health practice requires leaders who are trained to think and act like entrepreneurs. Whether at a hospital bedside or in a remote village, global healthcare leaders must understand both the business of running a social venture as well as how to plan for and provide access to life saving medicines and essential health services.

Each week, the course features a lecture and skills-based tutorial session led by industry, non-profit foundation, technology, and academic leaders to think outside the box in tackling and solving problems in innovation for global health practice through the rationale design of technology and service solutions. The lectures provide the foundation for faculty-mentored pilot project from MOH, students, or non-profit sponsors that may involve creation of a market or business plan, product development, or a research study design.

uk: вхід без авторизації

name: Designing and Sustaining Technology Innovation for Global Health Practice

de: Kurs


Medical Artificial Intelligence

keywords:
Engineering
Computer Science
Artificial Intelligence
Biological Engineering
Health and Medicine
Biomedicine
Biotechnology

uk: Медицина / Науки про здоров'я

uk: Біотехнологія

uk: Комп'ютерні науки

uk: Математика, природничі науки

en: Biology

description: This course provides an intensive introduction to artificial intelligence and its applications to problems of medical diagnosis, therapy selection, and monitoring and learning from databases. It meets with lectures and recitations of 6.034 Artificial Intelligence, whose material is supplemented by additional medical-specific readings in a weekly discussion session. Students are responsible for completing all homework assignments in 6.034 and for additional problems and/or papers.

uk: вхід без авторизації

en: Course


uk: Медицина / Науки про здоров'я

uk: Біотехнологія

uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource provides 5 questions for quiz 1 along with their grading points.

uk: вхід без авторизації

de: Übung

en: Drill and Practice


uk: Медицина / Науки про здоров'я

uk: Біотехнологія

uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource provides 9 questions for quiz 2 along with their grading points.

uk: вхід без авторизації


uk: Медицина / Науки про здоров'я

uk: Біотехнологія

uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource reviews the quiz 1 questions along with their grading points.

uk: вхід без авторизації


uk: Медицина / Науки про здоров'я

uk: Біотехнологія

uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource provides solutions to the reviews of quiz 1 questions along with their grading points.

uk: вхід без авторизації


uk: Медицина / Науки про здоров'я

uk: Біотехнологія

uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource reviews the quiz 2 questions along with their grading points.

uk: вхід без авторизації


uk: Медицина / Науки про здоров'я

uk: Біотехнологія

uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource provides solutions to the reviews of quiz 2 questions along with their grading points.

uk: вхід без авторизації


Biomedical Computing

keywords:
Engineering
Biological Engineering
Health and Medicine
Biomedicine
Business
Information Technology
Computational Biology
Biomedical Instrumentation

uk: Медицина / Науки про здоров'я

de: Betriebswirtschaftslehre

uk: Бізнес-адміністрування

en: Business Administration

uk: Біотехнологія

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: 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.

uk: вхід без авторизації


Medical Computing

keywords:
Engineering
Computer Science
Biological Engineering
Health and Medicine
Biomedicine
Business
Information Technology
Data Mining
Computational Biology
Biomedical Instrumentation

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Біотехнологія

uk: Комп'ютерні науки

uk: Математика, природничі науки

de: Rechts-, Wirtschafts- und Sozialwissenschaften

uk: Право, економіка та суспільні науки

en: Law, Economics and Social Sciences

uk: Бізнес та економіка

description:
The focus of the course is on medical science and practice in the age of automation and the genome, both present and future.

It ncludes an analysis of the computational needs of clinical medicine, a review systems and approaches that have been used to support those needs, and an examination of new technologies.

uk: вхід без авторизації


Medical Decision Support

keywords:
Engineering
Computer Science
Artificial Intelligence
Biological Engineering
Health and Medicine
Biomedicine
Business
Information Technology
Computational Biology

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Біотехнологія

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

de: Wirtschaftswissenschaften

uk: Бізнес та економіка

en: Business and Economics

description: This course presents the main concepts of decision analysis, artificial intelligence, and predictive model construction and evaluation in the specific context of medical applications. The advantages and disadvantages of using these methods in real-world systems are emphasized, while students gain hands-on experience with application specific methods. The technical focus of the course includes decision analysis, knowledge-based systems (qualitative and quantitative), learning systems (including logistic regression, classification trees, neural networks), and techniques to evaluate the performance of such systems.

uk: вхід без авторизації


uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Біотехнологія

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description:
This course presents the main concepts of decision analysis, artificial intelligence and predictive model construction and evaluation in the specific context of medical applications. It emphasizes the advantages and disadvantages of using these methods in real-world systems and provides hands-on experience. Its technical focus is on decision support, knowledge-based systems (qualitative and quantitative), learning systems (including logistic regression, classification trees, neural networks, rough sets), and techniques to evaluate the performance of such systems. It reviews computer-based diagnosis, planning and monitoring of therapeutic interventions. It also discusses implemented medical applications and the software tools used in their construction. Students produce a final project using the machine learning methods learned in the course, based on actual clinical data.

Lecturers

Prof. Stephan Dreiseitl

Prof. Ju Jan Kim

Prof. Bill Long

Prof. Marco Ramoni

Prof. Fred Resnic

Prof. David Wypij

uk: вхід без авторизації


uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Біотехнологія

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: Midterm HST951 - 2002

uk: вхід без авторизації


uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Біотехнологія

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: Midterm HST951 Solutions

uk: вхід без авторизації


Computing for Biomedical Scientists

keywords:
Engineering
Computer Science
Biological Engineering
Health and Medicine
Biomedicine
Computational Biology
Biomedical Instrumentation

uk: Медицина / Науки про здоров'я

uk: Біотехнологія

uk: Комп'ютерні науки

uk: Математика, природничі науки

description:
This course introduces abstraction as an important mechanism for problem decomposition and solution formulation in the biomedical domain, and examines computer representation, storage, retrieval, and manipulation of biomedical data. As part of the course, we will briefly examine the effect of programming paradigm choice on problem-solving approaches, and introduce data structures and algorithms. We will also examine knowledge representation schemes for capturing biomedical domain complexity and principles of data modeling for efficient storage and retrieval. The final project involves building a medical information system that encompasses the different concepts taught in the course.

Computer science basics covered in the first part of the course are integral to understanding topics covered in the latter part, and for completing the assigned homework.

uk: вхід без авторизації


keywords:
Engineering
Computer Science
Artificial Intelligence
Health Care Management
Health and Medicine
Public Health
Business
Data Mining

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Комп'ютерні науки

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description:
This course provides an introductory survey of data science tools in healthcare. It was created by members of [MIT Critical Data](https://criticaldata.mit.edu/), a global consortium consisting of healthcare practitioners, computer scientists, and engineers from academia, industry, and government, that seeks to place data and research at the front and center of healthcare operations.

The most daunting global health issues right now are the result of interconnected crises. In this course, we highlight the importance of a multidisciplinary approach to health data science. It is intended for front-line clinicians and public health practitioners, as well as computer scientists, engineers, and social scientists, whose goal is to understand health and disease better using digital data captured in the process of care.

What you'll learn:

*   Principles of data science as applied to health
*   Analysis of electronic health records
*   Artificial intelligence and machine learning in healthcare

This course is part of the [Open Learning Library](https://openlearning.mit.edu/courses-programs/open-learning-library), which is free to use. You have the option to sign up and enroll in the course if you want to track your progress, or you can view and use all the materials without enrolling.

uk: вхід без авторизації

name: Collaborative Data Science for Healthcare


keywords:
Innovation
Health Care Management
Economics
Social Science
Health and Medicine
Public Health
Business
Information Technology
International Development

name: 13. Health System Design: Lessons from Rwanda and Haiti (audio only)

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description:
This course is a collaborative offering of [Sana](http://sana.mit.edu/), [Partners in Health](http://www.pih.org/), and the [Institute for Healthcare Improvement](https://www.ihi.org/) (IHI). The goal of this course is the development of innovations in information systems for developing countries that will (1) translate into improvement in health outcomes, (2) strengthen the existing organizational infrastructure, and (3) create a collaborative ecosystem to maximize the value of these innovations. The course will be taught by guest speakers who are internationally recognized experts in the field and who, with their operational experiences, will outline the challenges they faced and detail how these were addressed.

This OCW site combines resources from the initial Spring 2011 offering of the course (numbered HST.184) and the Spring 2012 offering (numbered HST.S14).

uk: вхід без авторизації

name: Health Information Systems to Improve Quality of Care in Resource-Poor Settings


Spring 2011 Lecture 1

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Translational Research and Advocacy: New Paradigms for Equity.

uk: вхід без авторизації

cs: Video

de: Video

fi: Video

uk: Відео

en: Video

fr: Vidéo

da: Video

nl: Video

es: Video


Spring 2011 Lecture 2

uk: Медицина / Науки про здоров'я

en: Human Medicine / Health Sciences

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Design and impact of health information systems in developing countries.

de: keine Anmeldung erforderlich

uk: вхід без авторизації


Spring 2011 Lecture 3

de: Humanmedizin/Gesundheitswissenschaften

uk: Медицина / Науки про здоров'я

en: Economics

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Overview of quality improvement.

uk: вхід без авторизації


Spring 2012 Lecture 1.1

uk: Медицина / Науки про здоров'я

de: Volkswirtschaftslehre

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Project mentor presentations.

uk: вхід без авторизації


Spring 2012 Lecture 1.2

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

uk: вхід без авторизації


Spring 2012 Lecture 1.3

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

uk: вхід без авторизації


Spring 2012 Lecture 1.4

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

uk: вхід без авторизації


Spring 2012 Lecture 1.5

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

uk: вхід без авторизації


Spring 2012 Lecture 1.6

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

uk: вхід без авторизації


Spring 2012 Lecture 1.7

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

uk: вхід без авторизації


Spring 2012 Lecture 2.1

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Sana development workshop: Android client and OpenMRS development.

uk: вхід без авторизації


Spring 2012 Lecture 2.2

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

uk: вхід без авторизації


Spring 2012 Lecture 2.3

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

uk: вхід без авторизації


Spring 2012 Lecture 2.4

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

uk: вхід без авторизації


Spring 2012 Lecture 2.5

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

uk: вхід без авторизації


Spring 2012 Lecture 2.6

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

uk: вхід без авторизації


Spring 2011 Lecture 4

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Operations management at the front lines.

uk: вхід без авторизації


Spring 2011 Lecture 5

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Process improvement theory and application.

uk: вхід без авторизації


Spring 2012 Lecture 3

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Case study: Designing a diabetes screening project in Punjab.

uk: вхід без авторизації


Spring 2012 Lecture 4

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Case study: Wireless labor monitoring for developing settings: From idea to prototype to testing and beyond.

uk: вхід без авторизації


Spring 2012 Lecture 5

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Development of standard terminology for global maternal and child health.

uk: вхід без авторизації


Spring 2012 Lecture 6

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Smart software design for healthcare: unbiased signals, open and affordable technology for resource-constrained healthcare.

uk: вхід без авторизації


Spring 2011 Lecture 7

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Innovation and Adoption of New Practices.

uk: вхід без авторизації


Spring 2011 Lecture 8

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Checklists: Quality improvement in developing countries.

uk: вхід без авторизації


uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

uk: вхід без авторизації

cs: Zvukový záznam

de: Audio

fi: äänen tallennus

uk: Аудіозапис

en: Audio Recording

fr: Enregistrement Sonore

da: Lydoptagelse

nl: Geluidsopname

es: Grabación de Sonido


Spring 2011 Lecture 9

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Evaluating Process and Outcome Metrics in the context of quality.

uk: вхід без авторизації


Spring 2011 Lecture 10

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Evaluating Process and Outcome Metrics: Patient Safety.

uk: вхід без авторизації


Spring 2011 Lecture 11

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Organizational Change: Positive Deviance.

uk: вхід без авторизації


Spring 2012 Lecture 9

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Case study: Neri Clinics: Primary care in the developing world.

uk: вхід без авторизації


Spring 2011 Lecture 13

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Organizational Change: Lean Sigma.

uk: вхід без авторизації


Spring 2011 Lecture 14

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Collaborative Change & Wrap-Up.

uk: вхід без авторизації


Spring 2012 Lecture 11

uk: Медицина / Науки про здоров'я

uk: Бізнес-адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: This resource contains information regarding Health system design: Lessons from Rwanda and Haiti.

uk: вхід без авторизації


IDS.333 Risk and Decision Analysis

keywords:
Engineering
Systems Engineering
Systems Design

name: Unit 4: Parking Garage Case Example, Video 1: Introduction

name: Unit 4: Parking Garage Case Example, Video 2: Logic of Analysis

name: Unit 4: Parking Garage Case Example, Video 3: Recognizing Uncertainty, Simulation

name: Unit 4: Parking Garage Case Example, Video 4: Adding Flexibility

name: Unit 4: Parking Garage Case Example, Video 5: Design to Manage Uncertainties

name: Unit 4: Parking Garage Case Example, Video 6: Flexibility is Win-Win

name: Unit 5: Mechanics of Simulation, Video 1: Concept—What Is Needed

name: Unit 5: Mechanics of Simulation, Video 2: Recommended Process

name: Unit 5: Mechanics of Simulation, Video 3: Outcomes and Target Curves

name: Unit 5: Mechanics of Simulation, Video 4: Decision Rules and Unit Closure

name: Unit 5: Mechanics of Simulation, Video 5: Physical Situation

name: Unit 5: Mechanics of Simulation, Video 6: Simulation and Value Flexibility "on" Project

name: Unit 5: Mechanics of Simulation, Video 7: Value of Flex "in" Project

name: Unit 7: Drivers of Flexibility, Video 1: Five Main Drivers—Uncertainty is Most Important

name: Unit 7: Drivers of Flexibility, Video 2: Economies of Scale

name: Unit 7: Drivers of Flexibility, Video 3:  Discount rate and Learning Promote

name: Unit 7: Drivers of Flexibility, Video 4: Balancing Overall Effect of Drivers

name: Unit 8: Decision Analysis 1, Video 1: Advantages

name: Unit 8: Decision Analysis 2, Video 2: Decision Trees

name: Unit 8: Decision Analysis 3, Video 3: Constructing Trees

name: Unit 8: Decision Analysis 4, Video 4: Multistage Analysis

name: Unit 8: Decision Analysis 5 Video 5: Retrospective Overview

name: Unit 9: Value of Information, Video 1: Concept of Test

name: Unit 9: Value of Information, Video 2: Value of Test

name: Unit 9: Value of Information, Video 3: Expected Value of Sample Information

name: Unit 9: Value of Information, Video 4: Expected Value of Perfect Information

name: Unit 9: Value of Information 5, Video 5: Is Test Worthwhile?

name: Unit 10: Utility Analysis and Multidimensional Evaluation, Video 1: Is Optimization Possible?

name: Unit 10: Utility Analysis and Multidimensional Evaluation, Video 2: Diminishing Marginal Utility

name: Unit 10: Utility Analysis and Multidimensional Evaluation, Video 3: Conditions for Value Function

name: Unit 10: Utility Analysis and Multidimensional Evaluation, Video 4: Consequences

name: Unit 10: Utility Analysis and Multidimensional Evaluation, Video 5: There's No Valid Group Utility

name: Unit 10: Utility Analysis and Multidimensional Evaluation, Video 7: Robustness and Take-aways

name: Unit 11: LNG Case 3, Video 4: Learning effects

name: Unit 11: LNG Case 4, Video 5: Final Analysis

name: Unit 11: De-Salt and LNG Cases, Video 1: De-Salt Plant Australia

name: Unit 11: LNG Case 1, Video 2: Introduction

name: Unit 11: LNG Case 2, Video 3: Initial Analysis

name: Unit 2: The Forecast is Always wrong, Video 6: Flaw of Averages 2-the Consequences

name: Unit 2: The Forecast is Always wrong, Video 5: Flaw of Averages 1-the Concept

name: Unit 2: The Forecast is ‘Always’ wrong, Video 2: Demand Forecasts

name: Unit 2: The Forecast is "Always" wrong, Video 4: Common Forecasting Process Inherently Flawed

name: Unit 2: the Forecast is always wrong, Video 1: Cost Estimates

name: Unit 2: The Forecast is Always wrong, Video 3: Porcupine Graphs

description: The course addresses a fundamental issue in system design and management, the need for engineering leaders to recognize uncertainty in the performance of their plans or designs. It presents discounted cash flow (DCF) Excel models, simulation, and decision analysis as primary ways to analyze possible outcomes of design and management strategies. It also addresses how we should analyze possible performance outcomes and cope with risks in demand, requirements, cost, technology, etc.

uk: вхід без авторизації


uk: вхід без авторизації

name: Unit 10: Utility Analysis and Multidimensional Evaluation, Video 1: Is Optimization Possible?


uk: вхід без авторизації

name: Unit 10: Utility Analysis and Multidimensional Evaluation, Video 2: Diminishing Marginal Utility


uk: вхід без авторизації

name: Unit 10: Utility Analysis and Multidimensional Evaluation, Video 3: Conditions for Value Function


uk: вхід без авторизації

name: Unit 10: Utility Analysis and Multidimensional Evaluation, Video 4: Consequences


uk: вхід без авторизації

name: Unit 10: Utility Analysis and Multidimensional Evaluation, Video 5: There's No Valid Group Utility


uk: вхід без авторизації

name: Unit 10: Utility Analysis and Multidimensional Evaluation, Video 7: Robustness and Take-aways


uk: вхід без авторизації


uk: вхід без авторизації


uk: вхід без авторизації


uk: вхід без авторизації

name: Unit 11: LNG Case 3, Video 4: Learning effects


uk: вхід без авторизації

name: Unit 11: LNG Case 4, Video 5: Final Analysis


uk: вхід без авторизації


uk: вхід без авторизації


uk: вхід без авторизації


uk: вхід без авторизації


uk: вхід без авторизації


uk: вхід без авторизації


uk: вхід без авторизації

name: Unit 4: Parking Garage Case Example, Video 1: Introduction


uk: вхід без авторизації

name: Unit 4: Parking Garage Case Example, Video 2: Logic of Analysis


uk: вхід без авторизації

name: Unit 4: Parking Garage Case Example, Video 3: Recognizing Uncertainty, Simulation


uk: вхід без авторизації

name: Unit 4: Parking Garage Case Example, Video 4: Adding Flexibility


uk: вхід без авторизації

name: Unit 4: Parking Garage Case Example, Video 5: Design to Manage Uncertainties


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name: Unit 4: Parking Garage Case Example, Video 6: Flexibility is Win-Win


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name: Unit 5: Mechanics of Simulation, Video 1: Concept—What Is Needed


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name: Unit 5: Mechanics of Simulation, Video 2: Recommended Process


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name: Unit 5: Mechanics of Simulation, Video 3: Outcomes and Target Curves


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name: Unit 5: Mechanics of Simulation, Video 4: Decision Rules and Unit Closure


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name: Unit 5: Mechanics of Simulation, Video 5: Physical Situation


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name: Unit 5: Mechanics of Simulation, Video 6: Simulation and Value Flexibility "on" Project


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name: Unit 5: Mechanics of Simulation, Video 7: Value of Flex "in" Project


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name: Unit 7: Drivers of Flexibility, Video 1: Five Main Drivers—Uncertainty is Most Important


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name: Unit 7: Drivers of Flexibility, Video 2: Economies of Scale


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name: Unit 7: Drivers of Flexibility, Video 3:  Discount rate and Learning Promote


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name: Unit 7: Drivers of Flexibility, Video 4: Balancing Overall Effect of Drivers


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name: Unit 8: Decision Analysis 1, Video 1: Advantages


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name: Unit 8: Decision Analysis 2, Video 2: Decision Trees


uk: вхід без авторизації

name: Unit 8: Decision Analysis 3, Video 3: Constructing Trees


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name: Unit 8: Decision Analysis 4, Video 4: Multistage Analysis


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name: Unit 8: Decision Analysis 5 Video 5: Retrospective Overview


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name: Unit 9: Value of Information, Video 1: Concept of Test


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name: Unit 9: Value of Information, Video 2: Value of Test


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name: Unit 9: Value of Information, Video 3: Expected Value of Sample Information


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name: Unit 9: Value of Information, Video 4: Expected Value of Perfect Information


uk: вхід без авторизації

name: Unit 9: Value of Information 5, Video 5: Is Test Worthwhile?


keywords:
Engineering
Systems Engineering
Business
Systems Optimization
Project Management
Systems Design

uk: Бізнес-адміністрування

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: There is need for a rigorous, quantitative multidisciplinary design methodology that works with the non-quantitative and creative side of the design process in engineering systems. The goal of multidisciplinary systems design optimization is to create advanced and complex engineering systems that must be competitive not only in terms of performance, but also in terms of life-cycle value. The objective of the course is to present tools and methodologies for performing system optimization in a multidisciplinary design context. Focus will be equally strong on all three aspects of the problem: (i) the multidisciplinary character of engineering systems, (ii) design of these complex systems, and (iii) tools for optimization.

uk: вхід без авторизації

name: Multidisciplinary System Design Optimization


Modeling and Assessment for Policy

keywords:
Engineering
Science
Computer Science
Systems Engineering
Social Science
Public Administration
Earth Science
Environmental Engineering
Data Mining
Environmental Science
Computational Modeling and Simulation
Climate Studies
Atmospheric Science
Science and Technology Policy
Public Policy
Environmental Management
Environmental Policy
Sustainability

name: ESD.864: Modeling and Assessment for Policy, Quiz 1 Solutions

name: ESD.864: Modeling and Assessment for Policy, Quiz 2 Solutions

name: ESD.864: Modeling and Assessment for Policy, Quiz 3 Solutions

de: Verwaltungswissenschaften

uk: Управління та адміністрування

en: Administrative Sciences

uk: Науки про Землю(крім географії)

uk: Комп'ютерні науки

uk: Суспільні науки та соціологія

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: _IDS.410J Modeling and Assessment for Policy_ explores how scientific information and quantitative models can be used to inform policy decision-making. Students will develop an understanding of quantitative modeling techniques and their role in the policy process through case studies and interactive activities. The course addresses issues such as analysis of scientific assessment processes, uses of integrated assessment models, public perception of quantitative information, methods for dealing with uncertainties, and design choices in building policy-relevant models. Examples used in this class focus on models and information used in earth system governance.

uk: вхід без авторизації


uk: Управління та адміністрування

uk: Науки про Землю(крім географії)

uk: Комп'ютерні науки

de: Sozialwissenschaften/Soziologie

uk: Суспільні науки та соціологія

en: Social Sciences/Sociology

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: This file contains information regarding quiz 1.

uk: вхід без авторизації

name: ESD.864: Modeling and Assessment for Policy, Quiz 1


uk: Управління та адміністрування

uk: Науки про Землю(крім географії)

de: Ingenieurwissenschaften

en: Engineering Sciences

uk: Комп'ютерні науки

uk: Суспільні науки та соціологія

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: This file contains information regarding quiz 1 solution.

uk: вхід без авторизації


uk: Управління та адміністрування

uk: Науки про Землю(крім географії)

uk: Комп'ютерні науки

uk: Суспільні науки та соціологія

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: This file contains information regarding quiz 2.

uk: вхід без авторизації

en: no login required

name: ESD.864: Modeling and Assessment for Policy, Quiz 2


uk: Управління та адміністрування

uk: Науки про Землю(крім географії)

uk: Комп'ютерні науки

en: Computer Science

uk: Суспільні науки та соціологія

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: This file contains information regarding quiz 2 solution.

uk: вхід без авторизації


uk: Управління та адміністрування

uk: Науки про Землю(крім географії)

en: Geosciences (excl. Geography)

uk: Комп'ютерні науки

uk: Суспільні науки та соціологія

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: This file contains information regarding quiz 3.

uk: вхід без авторизації

name: ESD.864: Modeling and Assessment for Policy, Quiz 3


uk: Управління та адміністрування

uk: Науки про Землю(крім географії)

uk: Комп'ютерні науки

uk: Суспільні науки та соціологія

uk: Математика, природничі науки

en: Mathematics, Natural Sciences

uk: Право, економіка та суспільні науки

description: This file contains information regarding quiz 3 solution.

uk: вхід без авторизації


keywords:
Engineering
Systems Engineering
Economics
Social Science
Public Administration
Energy
Industrial Organization
Public Policy
Electricity
Renewables

uk: Управління та адміністрування

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: The course presents an in-depth interdisciplinary perspective of electric power systems, with regulation providing the link among the engineering, economic, legal and environmental viewpoints. Generation dispatch, demand response, optimal network flows, risk allocation, reliability of service, renewable energy sources, ancillary services, tariff design, distributed generation, rural electrification, environmental impacts and strategic sustainability issues will be among the topics addressed under both traditional and competitive regulatory frameworks.

uk: вхід без авторизації

name: Engineering, Economics and Regulation of the Electric Power Sector


keywords:
Engineering
Systems Engineering
Social Science
Business
Urban Studies
Real Estate
Urban Planning
Computational Modeling and Simulation
Systems Design

uk: Бізнес-адміністрування

de: Raumplanung

uk: Містобудування та територіальне планування

en: Spatial Planning

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description:
This course is an introduction to the analytical tools that support design and decision-making in real estate and infrastructure development. There is a particular focus on identifying and valuing sources of flexibility using “real options”, Monte-Carlo simulation, and other techniques from the field of engineering systems. This course integrates economic and engineering perspectives, and is suitable for students with various backgrounds. It serves to provide useful preparation for thesis work in the area. The course applies the approach to the design and phasing of a mega infrastructure real estate project.

**Note**

This MIT OpenCourseWare site is based, in part, on materials on Design for Real Estate and Infrastructure Development from [Professor de Neufville's and Professor Geltner's Web site](https://ardent.mit.edu/).

uk: вхід без авторизації

name: Tools for Analysis: Design for Real Estate and Infrastructure Development


Doctoral Seminar in Engineering Systems

keywords:
Engineering
Systems Engineering

description: IDS.900 _Doctoral Seminar in Engineering Systems_ examines the core theory and contextual applications of the emerging field of Engineering Systems. There is a focus on doctoral–level analysis of scholarship on key concepts such as complexity, uncertainty, fragility, and robustness, as well as a critical look at the historical roots of the field and related areas such as systems engineering, systems dynamics, agent modeling, and systems simulations. Contextual applications of the course range from aerospace to technology implementation to regulatory systems to large–scale systems change. Special attention is given to the interdependence of social and technical dimensions of engineering systems.

uk: вхід без авторизації

en: Course


description: This team-taught subject is for doctoral students working on emerging technologies at the interface of technology, policy and societal issues. It integrates concepts of research strategy and design from a variety of disciplines. The class addresses problem identification and formulation of research topics, the role of qualitative and quantitative research methods, and the use of various data collection techniques. Coursework focuses on students' thesis proposals, faculty-student study panels, critical evaluation of research design, and ethical issues in conducting research and gathering data.

uk: вхід без авторизації

name: Integrating Doctoral Seminar on Emerging Technologies


Leadership Development

keywords: Leadership Business

uk: Бізнес-адміністрування

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: Students work in a team environment to develop five core leadership capabilities: Visioning, Analyzing, Relating, Inventing and Enabling. In addition, students participate in a negotiation simulation, improve communication skills and learn about cross-cultural negotiation. A structured set of outdoor experiences complements classroom activities. Restricted to entering students in the Technology and Policy Program.

uk: вхід без авторизації


uk: Бізнес-адміністрування

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: Students work in a seminar environment to enhance their leadership capabilities. An initial Leadership Laboratory Outward Bound experience builds trust, teamwork and communications. Readings and assignments emphasize the characteristics of effective leadership. Distinguished leaders participate in the "Leadership Lunch" story-telling series to share their experiences and to provide recommendations. Discussions help explore and further probe leadership development. The learning experience culminates in a personal leadership plan.

uk: вхід без авторизації


keywords:
Engineering
Computer Science
Environmental Engineering
Programming Languages
Graphics and Visualization

name: Introduction to R, Part I: Interface and Data Structures

name: Introduction to R, Part II: Playing with the Data

name: Introduction to R, Part IV: Loops and Functions

name: Introduction to GIS, Part I: Key Concepts

name: Introduction to GIS, Part II: Vectorial Maps, Raster Maps, and Time Series

name: Introduction to GIS, Part III: Projection

name: Introduction to GIS, Part IV: Stack, Brick, Crop, and Mask

name: Introduction to GIS, Part V: Extract Information from Maps using Spatial Data Points

name: Introduction to GIS, Part VI: Plotting Maps with ggplot2

name: Introduction to R, Part III: Linear and Mixed Models in R

de: Informatik

uk: Комп'ютерні науки

description: The goal of these videos is to provide students with tools and concepts for working with R, a free software environment for statistical computing and graphics. The students will learn the basics of R, how to navigate the R interface and deal with different data formats, how to run and interpret linear models with R, and how to use Geographic Information Systems (GIS) in R. These practical sessions were developed as part of the course *1.845 Terrestrial Carbon Cycle and Ecosystem Ecology* but will be useful for anyone looking to learn about R and GIS.

uk: вхід без авторизації

name: Introduction to R and Geographic Information Systems (GIS)


uk: Комп'ютерні науки

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: вхід без авторизації


keywords:
Visual Arts
Media Studies
Fine Arts
Art History
Digital Media
Graphic Design

de: Medienwissenschaft

uk: Медіазнавство

en: Media Science

de: Bildende Kunst

uk: Образотворче мистецтво

en: Fine Arts

uk: Медіазнавство

de: Geisteswissenschaften

uk: Гуманітарні науки

en: Humanities

de: Kunst, Kunstwissenschaft

uk: Мистецтво, мистецтвознавство

en: Art, Art Theory

description: This class covers the history of 20th century art and design from the perspective of the technologist. Methods for visual analysis, oral critique, and digital expression are introduced. Class projects this term use the OLPC XO (One Laptop Per Child) laptop, Csound and Python software.

uk: вхід без авторизації

name: Fundamentals of Computational Media Design


keywords:
Media Studies
Fine Arts
Digital Media

uk: Медіазнавство

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

description: This course is intended for students pursuing research projects at the Media Laboratory. Topics include Media Lab research areas, documenting research progress, ethical issues in research; patents, copyrights, intellectual property, and giving oral, written, and online presentations of results. A final oral presentation is required. Enrollment limited with preference given to students in the Media Arts and Sciences freshman program.

uk: вхід без авторизації

name: Introduction to Doing Research in Media Arts and Sciences

de: Kurs


keywords:
Engineering
Systems Engineering
Electrical Engineering
Media Studies
Fine Arts
Signal Processing
Computational Modeling and Simulation
Telecommunications

uk: Медіазнавство

de: Elektrotechnik und Informationstechnik

en: Electrical Engineering and Information Engineering

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

description: This class teaches the fundamentals of signals and information theory with emphasis on modeling audio/visual messages and physiologically derived signals, and the human source or recipient. Topics include linear systems, difference equations, Z-transforms, sampling and sampling rate conversion, convolution, filtering, modulation, Fourier analysis, entropy, noise, and Shannon's fundamental theorems. Additional topics may include data compression, filter design, and feature detection. The undergraduate subject MAS.160 meets with the two half-semester graduate subjects MAS.510 and MAS.511, but assignments differ.

uk: вхід без авторизації

name: Signals, Systems and Information for Media Technology


Holographic Imaging

keywords:
Engineering
Science
Computer Science
Physics
Media Studies
Fine Arts
Cognitive Science
Atomic, Molecular, Optical Physics
Graphics and Visualization

uk: Медіазнавство

de: Physik

uk: Фізика

en: Physics

uk: Комп'ютерні науки

uk: Образотворче мистецтво

de: Psychologie

en: Psychology

de: Mathematik, Naturwissenschaften

uk: Математика, природничі науки

de: Rechts-, Wirtschafts- und Sozialwissenschaften

uk: Право, економіка та суспільні науки

en: Law, Economics and Social Sciences

uk: Медіазнавство

de: Physik, Astronomie

fi: fysiikka, tähtitiede

uk: Фізика, Астрономія

en: Physics, Astronomy

fr: Physique, Astronomie

da: Fysik, Astronomi

es: Física, Astronomía

nl: Natuurkunde, Astronomie

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

description:
MAS.450 is a laboratory course about holography and holographic imaging.

This course teaches holography from a scientific and analytical point of view, moving from interference and diffraction to imaging of single points to the display of three-dimensional images. Using a "hands-on" approach, students explore the underlying physical phenomena that make holograms work, as well as designing laboratory setups to make their own images. The course also teaches mathematical techniques that allow the behavior of holography to be understood, predicted, and harnessed.

Holography today brings together the fields of optics, chemistry, computer science, electrical engineering, visualization, three-dimensional display, and human perception in a unique and comprehensive way. As such, MAS.450 offers interesting and useful exposure to a wide range of principles and ideas. As a course satisfying the Institute Laboratory Requirement, MAS.450 teaches about science, scientific research, and the scientific method through observation and exploration, hinting at the excitement that inventors feel before they put their final equations to paper.

uk: вхід без авторизації


Computational Camera and Photography

keywords:
Engineering
Computer Science
Electrical Engineering
Visual Arts
Media Studies
Fine Arts
Signal Processing
Digital Media
Photography
Graphics and Visualization

name: Lecture 1: Introduction and fast-forward preview of all topics - Part 1

name: Lecture 1: Introduction and fast-forward preview of all topics - Part 2

name: Lecture 2: Modern optics and lenses; ray-matrix operations; context enhanced imaging - Part 1

name: Lecture 2: Modern optics and lenses; ray-matrix operations; context enhanced imaging - Part 2

name: Lecture 3: Epsilon Photography: Improving Film-like Photography

name: Lecture 3: Single-shot Multi-domain Camera

name: Lecture 4: Computational Illumination: dual photography, relighting - Part 1

name: Lecture 4: Computational Illumination: dual photography, relighting - Part 2

name: Lecture 5: Recent research: Retrographic Sensing for the Measurement of Surface Texture and Shape

name: Lecture 6: Cameras for human-computer interaction (HCI)

name: Lecture 8: Survey of Hyperspectral Imaging Techniques

name: Lecture 9: Computational imaging: a survey of medical and scientific applications

name: Lecture 9: "Cameras We Cannot Picture": a survey of the computational imaging field

uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

description:
A computational camera attempts to digitally capture the essence of visual information by exploiting the synergistic combination of task-specific optics, illumination, sensors and processing. In this course we will study this emerging multi-disciplinary field at the intersection of signal processing, applied optics, computer graphics and vision, electronics, art, and online sharing through social networks. If novel cameras can be designed to sample light in radically new ways, then rich and useful forms of visual information may be recorded — beyond those present in traditional photographs. Furthermore, if computational process can be made aware of these novel imaging models, them the scene can be analyzed in higher dimensions and novel aesthetic renderings of the visual information can be synthesized.

We will discuss and play with thermal cameras, multi-spectral cameras, high-speed, and 3D range-sensing cameras and camera arrays. We will learn about opportunities in scientific and medical imaging, mobile-phone based photography, camera for HCI and sensors mimicking animal eyes. We will learn about the complete camera pipeline. In several hands-on projects we will build physical imaging prototypes and understand how each stage of the imaging process can be manipulated.

de: keine Anmeldung erforderlich

uk: вхід без авторизації


uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації

de: Audio

en: Audio Recording


uk: Медіазнавство

en: Engineering Sciences

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації

en: no login required


uk: Медіазнавство

uk: Комп'ютерні науки

en: Computer Science

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


Lecture 5: Lightfields, part 1 - Part 1

uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


Lecture 5: Lightfields, part 1 - Part 2

uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


Lecture 6: Lightfields, part 2

uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


Lecture 6: Recent research: BiDi Screen

uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


Lecture 8: Project ideas discussion

uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


Lecture 8: Wavelengths and colors

uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


Lecture 11: Coded imaging

uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


Pattern Recognition and Analysis

keywords:
Engineering
Science
Mathematics
Probability and Statistics
Electrical Engineering
Signal Processing
Cognitive Science

cs: Matematika

de: Mathematik

fi: matematiikka

uk: Математика

en: Mathematics

fr: Mathématiques

da: Matematik

es: Matemáticas

nl: Wiskunde

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: This class deals with the fundamentals of characterizing and recognizing patterns and features of interest in numerical data. We discuss the basic tools and theory for signal understanding problems with applications to user modeling, affect recognition, speech recognition and understanding, computer vision, physiological analysis, and more. We also cover decision theory, statistical classification, maximum likelihood and Bayesian estimation, nonparametric methods, unsupervised learning and clustering. Additional topics on machine and human learning from active research are also talked about in the class.

uk: вхід без авторизації


Affective Computing

keywords:
Engineering
Science
Computer Science
Artificial Intelligence
Social Science
Cognitive Science
Psychology

uk: Комп'ютерні науки

de: Ingenieurwissenschaften

de: Sozialwissenschaften/Soziologie

uk: Суспільні науки та соціологія

en: Social Sciences/Sociology

uk: Право, економіка та суспільні науки

description: This course instructs students on how to develop technologies that help people measure and communicate emotion, that respectfully read and that intelligently respond to emotion, and have internal mechanisms inspired by the useful roles emotions play.

uk: вхід без авторизації


Conversational Computer Systems

keywords:
Engineering
Science
Computer Science
Electrical Engineering
Cognitive Science
Telecommunications
Human-Computer Interfaces

de: Informatik

uk: Комп'ютерні науки

uk: Електротехніка та інформаційні технології

uk: Право, економіка та суспільні науки

description: This class explores interaction with mobile computing systems and telephones by voice, including speech synthesis, recognition, digital recording, and browsing recorded speech. Emphasis on human interface design issues and interaction techniques appropriate for cognitive requirements of speech. Topics include human speech production and perception, speech recognition and text-to-speech algorithms, telephone networks, and spatial and time-compressed listening. Extensive reading from current research literature.

uk: вхід без авторизації


Developmental Entrepreneurship

keywords:
Entrepreneurship
Economics
Social Science
Business
International Development

de: Volkswirtschaftslehre

en: Economics

de: Betriebswirtschaftslehre

uk: Бізнес-адміністрування

en: Business Administration

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

de: Wirtschaftswissenschaften

uk: Бізнес та економіка

en: Business and Economics

description: This class surveys developmental entrepreneurship via case examples of both successful and failed businesses and generally grapples with deploying and diffusing products and services through entrepreneurial action. By drawing on live and historical cases, especially from South Asia, Africa, Latin America as well as Eastern Europe, China, and other developing regions, we seek to cover the broad spectrum of challenges and opportunities facing developmental entrepreneurs. Finally, we explore a range of established and emerging business models as well as new business opportunities enabled by developmental technologies developed in MIT labs and beyond.

uk: вхід без авторизації


How to Learn (Almost) Anything

keywords:
Teaching and Education
Curriculum and Teaching

de: Erziehungswissenschaften

uk: Педагогічні науки

en: Educational Sciences

uk: Право, економіка та суспільні науки

description: As the digital revolution brings with it radical changes in how and what we learn, people must continue to learn all the time. New technologies make possible new approaches to learning, new contexts for learning, new tools to support learning, and new ideas of what can be learned. This course will explore these new opportunities for learning with a special focus on what can be learned through immersive, hands-on activities. Students will participate in (and reflect on) a variety of learning situations, and will use Media Lab technologies to develop new workshops, iteratively run and refine the workshops, and analyze how and what the workshop participants learn.

uk: вхід без авторизації

en: Course


Technologies for Creative Learning

keywords:
Teaching and Education
Educational Technology

uk: Педагогічні науки

uk: Право, економіка та суспільні науки

description: This course explores the design of innovative educational technologies and creative learning environments, drawing on specific case studies such as the LEGO® Programmable Brick, Scratch software and Computer Clubhouse after-school learning centers. Includes activities with new educational technologies, reflections on learning experiences, and discussion of strategies and principles underlying the design of new tools and activities.

uk: вхід без авторизації

de: Kurs


keywords:
Engineering
Science
Electronics
Mechanical Engineering
Electrical Engineering
Cognitive Science
Mechanical Design

de: Elektrotechnik und Informationstechnik

uk: Інженерія

de: Maschinenbau/Verfahrenstechnik

uk: Машинобудування/Технологія

en: Mechanical Engineering / Process Engineering

uk: Право, економіка та суспільні науки

description: This class investigates cognitive science and technology as it is applied to the industrial design process. The class introduces prototyping techniques and approaches for objective evaluation as part of the design process. Students practice evaluating products with mechanical and electronic aspects. Evaluation processes are applied to creating functioning smart product prototypes. This is a project oriented subject that draws upon engineering, aesthetic, and creative skills. It is geared toward students interested in creating physical products which encompass electronics and computers, aimed at including them in smart scenarios. Students in the class will present readings, learn prototyping skills, create a product prototype, and complete a publication style paper.

uk: вхід без авторизації

name: Industrial Design Intelligence: A Cognitive Approach to Engineering


Autism Theory and Technology

keywords:
Engineering
Computer Science
Social Science
Health and Medicine
Teaching and Education
Educational Technology
Psychology
Mental Health
Human-Computer Interfaces

de: Humanmedizin/Gesundheitswissenschaften

uk: Медицина / Науки про здоров'я

en: Human Medicine / Health Sciences

uk: Комп'ютерні науки

uk: Педагогічні науки

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

description: This course illuminates current theories about autism together with challenges faced by people on the autism spectrum. Theories in communicating, interacting socially, managing cognitive and affective overload, and achieving independent lifestyles are covered. In parallel, the course presents state-of-the-art technologies being developed for helping improve both theoretical understanding and practical outcomes. Participants are expected to meet and interact with people on the autism spectrum. Weekly reading, discussion, and a term project are required.

uk: вхід без авторизації


keywords:
Engineering
Electronics
Electrical Engineering
Signal Processing
Digital Systems

en: Electrical Engineering and Information Engineering

description: This course is a broad introduction to a host of sensor technologies, illustrated by applications drawn from human-computer interfaces and ubiquitous computing. After extensively reviewing electronics for sensor signal conditioning, the lectures cover the principles and operation of a variety of sensor architectures and modalities, including pressure, strain, displacement, proximity, thermal, electric and magnetic field, optical, acoustic, RF, inertial, and bioelectric. Simple sensor processing algorithms and wired and wireless network standards are also discussed. Students are required to complete written assignments, a set of laboratories, and a final project.

uk: вхід без авторизації

name: Sensor Technologies for Interactive Environments


keywords:
Humanities
Literature
Visual Arts
Media Studies
Fine Arts
Film and Video
Criticism

de: Medienwissenschaft

uk: Медіазнавство

en: Media Science

de: Bildende Kunst

uk: Образотворче мистецтво

en: Fine Arts

de: Geisteswissenschaften

uk: Гуманітарні науки

en: Humanities

uk: Медіазнавство

de: Kunst, Kunstwissenschaft

uk: Мистецтво, мистецтвознавство

en: Art, Art Theory

description: This seminar explores approaches to representation for distributed cinematic storytelling. The relationship between story creation and story appreciation is analyzed. Readings are drawn from literary and cinematic criticism, as well as from descriptions of interactive, distributed works. Students analyze a range of storytelling techniques; they develop a proposal using visualization techniques; and they prototype a working story experience, culminating in a final project displayed at the end of the semester.

uk: вхід без авторизації

name: Special Topics in Cinematic Storytelling


How to Make (Almost) Anything

keywords:
Engineering
Systems Engineering
Electrical Engineering
Digital Systems

en: Engineering Sciences

description: This course provides a hands-on introduction to the resources for designing and fabricating smart systems, including CAD/CAM/CAE; NC machining, 3-D printing, injection molding, laser cutting; PCB layout and fabrication; sensors and actuators; analog instrumentation; embedded digital processing; wired and wireless communications. This course also puts emphasis on learning how to use the tools as well as understand how they work.

de: keine Anmeldung erforderlich

uk: вхід без авторизації


Quantum Information Science

keywords:
Engineering
Science
Computer Science
Physics
Mathematics
Computation
Theory of Computation
Quantum Mechanics

de: Physik

en: Physics

uk: Комп'ютерні науки

de: Mathematik

de: Mathematik, Naturwissenschaften

uk: Математика, природничі науки

en: Mathematics, Natural Sciences

de: Physik, Astronomie

uk: Фізика, Астрономія

en: Physics, Astronomy

description: This is an advanced graduate course on quantum computation and quantum information, for which prior knowledge of quantum mechanics is required. Topics include quantum computation, advanced quantum error correction codes, fault tolerance, quantum algorithms beyond factoring, properties of quantum entanglement, and quantum protocols and communication complexity.

uk: вхід без авторизації

en: no login required


uk: Медіазнавство

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

description: This class deals with interactive art. Visiting artists will discuss their work from a theoretical and practical perspective. Discussions of the history of interactive digital art and contemporary issues in the field will take place. Students will develop an interactive art project for a final exhibition or submit a short paper.

uk: вхід без авторизації

name: Special Topics in Multimedia Production: Experiences in Interactive Art


Ambient Intelligence

keywords:
Engineering
Computer Science
Artificial Intelligence
Media Studies
Fine Arts
Digital Media
Human-Computer Interfaces

uk: Медіазнавство

de: Informatik

uk: Комп'ютерні науки

en: Computer Science

de: Ingenieurwissenschaften

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

description: This course will provide an overview of a new vision for Human-Computer Interaction (HCI) in which people are surrounded by intelligent and intuitive interfaces embedded in the everyday objects around them. It will focus on understanding enabling technologies and studying applications and experiments, and, to a lesser extent, it will address the socio-cultural impact. Students will read and discuss the most relevant articles in related areas: smart environments, smart networked objects, augmented and mixed realities, ubiquitous computing, pervasive computing, tangible computing, intelligent interfaces and wearable computing. Finally, they will be asked to come up with new ideas and start innovative projects in this area.

uk: вхід без авторизації


keywords:
Engineering
Mathematics
Systems Engineering
Probability and Statistics
Media Studies
Fine Arts
Business
Organizational Behavior
Digital Media

de: Betriebswirtschaftslehre

uk: Бізнес-адміністрування

en: Business Administration

uk: Медіазнавство

en: Mathematics

uk: Образотворче мистецтво

uk: Математика, природничі науки

de: Rechts-, Wirtschafts- und Sozialwissenschaften

uk: Право, економіка та суспільні науки

en: Law, Economics and Social Sciences

uk: Медіазнавство

uk: Гуманітарні науки

de: Wirtschaftswissenschaften

uk: Бізнес та економіка

uk: Мистецтво, мистецтвознавство

description: Networks are a ubiquitous way to represent complex systems, including those in the social and economic sciences. The goal of the course is to equip students with conceptual tools that can help them understand complex systems that emerge in both nature and social systems. This is a course intended for a general audience and will discuss applications of networks and complexity to diverse systems, including epidemic spreading, social networks and the evolution of economic development.

uk: вхід без авторизації

name: Networks, Complexity and Its Applications


Numeric Photography

keywords:
Engineering
Computer Science
Visual Arts
Media Studies
Fine Arts
Software Design and Engineering
Digital Media
Photography

uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

description: The aim of the students from the Numeric Photography class at the MIT Media Laboratory was to present an exhibition of digital artworks which blend photography and computation, in the context of scene capture, image play, and interaction. Equipped with low end digital cameras, students created weekly software projects to explore aesthetic issues in signal processing and interaction design. The results are more than a hundred Java® applets, many of which are interactive, that suggest new avenues for image play on the computer. These weekly exercises led to the final product, an exhibition of the student work.

uk: вхід без авторизації

de: Kurs

en: Course


Seminar on Deep Engagement

keywords:
Communication
Social Science
Media Studies
Fine Arts
Psychology

uk: Медіазнавство

uk: Образотворче мистецтво

de: Sozialwissenschaften/Soziologie

uk: Суспільні науки та соціологія

en: Social Sciences/Sociology

uk: Право, економіка та суспільні науки

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

description: Innovation in expression, as realized in media, tangible objects, performance and more,  generates new questions and new potentials for human engagement. When and how does expression engage us deeply? Many personal stories confirm the hypothesis that once we experience deep engagement, it is a state we long for, remember, and want to repeat. This class will explore what underlying principles and innovative methods can ensure the development of higher-quality "deep engagement" products (artifacts, experiences, environments, performances, etc.) that appeal to a broad audience and that have lasting value over the long term.

uk: вхід без авторизації


keywords:
Communication
Engineering
Computer Science
Social Science
Media Studies
Fine Arts
Digital Media
Graphics and Visualization

uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

description:
This project-based course explores new design strategies for social interaction in the computer mediated world. Through weekly readings and design assignments we will examine topics such as:

*   Data-based portraiture
*   Depicting growth, change and the passage of time
*   Visualizing conversations, crowds, and networks
*   Interfaces for the connected city
*   Mobile social technologies

The course emphasizes developing visual and interactive literacy.

uk: вхід без авторизації

name: Special Topics: Designing Sociable Media


keywords:
Engineering
Science
Computer Science
Media Studies
Fine Arts
Cognitive Science
Human-Computer Interfaces

uk: Медіазнавство

uk: Комп'ютерні науки

uk: Образотворче мистецтво

de: Psychologie

en: Psychology

uk: Право, економіка та суспільні науки

uk: Медіазнавство

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

description:
This course will explore the state of the art in common sense knowledge, and class projects will design and build interfaces that can exploit this knowledge to make more usable and helpful interfaces.

This year's theme will be about how common sense knowledge differs in different languages and cultures, and how machine understanding of this knowledge can help increase communication between people, and between people and machines.

uk: вхід без авторизації

name: Common Sense Reasoning for Interactive Applications


Digital Typography

keywords:
Humanities
Linguistics
Visual Arts
Media Studies
Fine Arts
Digital Media
Graphic Design
Semantics

de: Medienwissenschaft

uk: Медіазнавство

uk: Образотворче мистецтво

uk: Гуманітарні науки

uk: Медіазнавство

uk: Мистецтво, мистецтвознавство

description: This class introduces studies in the algorithmic manipulation of type as word, symbol, and form. Problems covered will include semantic filtering, inherently unstable letterforms, and spoken letters. The history and traditions of typography, and their entry into the digital age, will be studied. Weekly assignments using Java® will explore new ways of looking at and manipulating type.

uk: вхід без авторизації


keywords:
Humanities
Mathematics
Linguistics
Media Studies
Fine Arts
Computation
Semantics

uk: Медіазнавство

de: Bildende Kunst

uk: Образотворче мистецтво

uk: Гуманітарні науки

uk: Математика, природничі науки

uk: Медіазнавство

uk: Мистецтво, мистецтвознавство

description: How do words get their meanings? How can word meanings be represented and used by machines? We will explore three families of approaches to these questions from a computational perspective. Relational / structural methods such as semantic networks represent the meaning of words in terms of their relations to other words. Knowledge of the world through perception and action leads to the notion of external grounding, a process by which word meanings are 'attached' to the world. How an agent theorizes about, and conceptualizes its world provides yet another foundation for word meanings. We will examine each of these perspectives, and consider ways to integrate them.

uk: вхід без авторизації

name: Special Topics in Media Technology: Computational Semantics


Special Topics: New Textiles

keywords:
Engineering
Visual Arts
Media Studies
Fine Arts
Materials Science and Engineering
Digital Media

uk: Медіазнавство

uk: Образотворче мистецтво

uk: Медіазнавство

de: Geisteswissenschaften

uk: Гуманітарні науки

uk: Мистецтво, мистецтвознавство

description:
This project-based course will explore the future of textiles, focusing particularly on blending rich crafting traditions with new technologies. Topics will include textile-based electronics, textile fabrication, algorithmic pattern design, and composites. We will experiment with a wide range of fibers, yarns, and fabrics including traditional materials like wool and cotton as well as metal fibers and yarns, fusible plastics, papers, and resins. We will also explore techniques like felting, laser cutting, CNC knitting, digital printing, and CNC embroidery. Students will complete weekly hands-on assignments and a final project.
WARNING NOTICE:

An activity described in this course is potentially hazardous and requires a high level of safety training, special facilities and equipment, and supervision by appropriate individuals. You bear the sole responsibility, liability, and risk for the implementation of such safety procedures and measures. MIT shall have no responsibility, liability, or risk for the content or implementation of any of the material presented. [Legal Notice](/terms/)

uk: вхід без авторизації


The Nature of Constructionist Learning

keywords:
Humanities
Teaching and Education
Philosophy
Curriculum and Teaching

de: Philosophie

en: Philosophy

de: Erziehungswissenschaften

uk: Педагогічні науки

en: Educational Sciences

uk: Гуманітарні науки

uk: Право, економіка та суспільні науки

description: This course examines the philosophical and theoretical foundations of constructionism as a paradigm for formulating and evaluating new theories for learning and approaches to education. One of the goals of this course is to help new learning researchers situate their work within the constructionist framework through readings and projects that will focus on the rich interplay between the process of knowledge construction and the development and co-evolution of ideas, learners, tools, and contexts.

uk: вхід без авторизації


keywords:
Engineering
Science
Computer Science
Artificial Intelligence
Cognitive Science
Theory of Computation

uk: Комп'ютерні науки

uk: Право, економіка та суспільні науки

description:
Increasingly, we are realizing that to make computer systems more intelligent and responsive to users, we will have to make them more sensitive to context. Traditional hardware and software design overlooks context because it conceptualizes systems as input-output functions. Systems take input explicitly given to them by a human, act upon that input alone and produce explicit output. But this view is too restrictive. Smart computers, intelligent agent software, and digital devices of the future will also have to operate on data that they observe or gather for themselves. They may have to sense their environment, decide which aspects of a situation are really important, and infer the user's intention from concrete actions. The system's actions may be dependent on time, place, or the history of interaction, in other words, dependent upon context.

But what exactly is context? We'll look at perspectives from machine learning, sensors and embedded devices, information visualization, philosophy and psychology. We'll see how each treats the problem of context, and discuss the implications for design of context-sensitive hardware and software.

Course requirements will consist of critiques of class readings (about 3 papers/week), and a final project (paper or computer implementation project).

de: keine Anmeldung erforderlich

uk: вхід без авторизації

name: Out of Context: A Course on Computer Systems That Adapt To, and Learn From, Context


keywords:
Humanities
Social Science
Media Studies
Fine Arts
Anthropology
Philosophy
Social Anthropology

de: Anthropologie (Humanbiologie)

uk: Антропологія (Біологія людини)

en: Anthropology (Human Biology)

uk: Медіазнавство

en: Media Science

uk: Гуманітарні науки

uk: Образотворче мистецтво

en: Fine Arts

uk: Суспільні науки та соціологія

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

uk: Медіазнавство

de: Biologie

en: Biology

de: Kunst, Kunstwissenschaft

uk: Мистецтво, мистецтвознавство

description:
The nature of human identity - how we think of ourselves, how we perceive others - is a mutable concept, changing with the rise and fall of religious beliefs, social mores, philosophical theories. Today, we live in a world in which science and technology are among the most powerful forces reshaping our culture - and thus our definitions and perceptions of identity. In this seminar, we will examine the impact of science and technology on identity.

The instructor's course page may be viewed at [http://smg.media.mit.edu/classes/IdentitySeminar/](http://smg.media.mit.edu/classes/IdentitySeminar/)

uk: вхід без авторизації

name: Techno-identity: Who we are and how we perceive ourselves and others


Technological Tools for School Reform

keywords:
Teaching and Education
Educational Technology
Curriculum and Teaching
Education Policy

uk: Педагогічні науки

uk: Право, економіка та суспільні науки

description: This course explores the potential impact of modern technologies on the school reforms debate. The first part of the course provides an overview of the current state of the school reform debate and reviews the ideas in the progressive school reform movement, as well as examining the new public charter school in Cambridge as a case study. The second part of the course requires critical study of research projects that hold promise as inspirations and guidelines for concrete multidisciplinary activities and curriculum for progressive charter schools. The course concludes with a discussion of the challenges in scaling the successful innovations in school reform to new contexts.

uk: вхід без авторизації