Cryptography and Cryptanalysis

keywords:
Engineering
Computer Science
Cryptography
Theory of Computation

uk: Комп'ютерні науки

description: This course features a rigorous introduction to modern cryptography, with an emphasis on the fundamental cryptographic primitives of public-key encryption, digital signatures, pseudo-random number generation, and basic protocols and their computational complexity requirements.

uk: вхід без авторизації


Advanced Topics in Cryptography

Massachusetts Institute of Technology

addressCountry: US

addressLocality: Cambridge

addressRegion: Massachusetts

type: Organization

Silvio Micali

honorificPrefix: Prof.

type: Person

cs: Technické vědy

de: Ingenieurwissenschaften

fi: tekniikka

uk: Інженерія

en: Engineering Sciences

fr: Ingénierie

da: Ingeniørvidenskab

es: Ingeniería

nl: Engineering

cs: Informatika

de: Informatik

fi: tietojenkäsittelytiede

uk: Комп'ютерні науки

en: Computer Science

fr: Informatique

da: Datalogi

es: Ciencias de la Computación

nl: Informatica

description: The topics covered in this course include interactive proofs, zero-knowledge proofs, zero-knowledge proofs of knowledge, non-interactive zero-knowledge proofs, secure protocols, two-party secure computation, multiparty secure computation, and chosen-ciphertext security.

MIT OpenCourseWare

type: Service

type: WebContent

@language: en

cs: přihlášení není vyžadováno

de: keine Anmeldung erforderlich

uk: вхід без авторизації

en: no login required

nl: geen login vereist

cs: Kurz

de: Kurs

fi: Kurssi

uk: Курс

en: Course

fr: Cours

da: Kursus

nl: Cursus

es: Curso


Computational Evolutionary Biology

keywords:
Engineering
Science
Biological Engineering
Biology
Computational Biology
Computation and Systems Biology

de: Biotechnologie

uk: Біотехнологія

en: Biotechnology

de: Biologie

uk: Біологія

en: Biology

de: Mathematik, Naturwissenschaften

uk: Математика, природничі науки

en: Mathematics, Natural Sciences

description:
Why has it been easier to develop a vaccine to eliminate polio than to control influenza or AIDS? Has there been natural selection for a 'language gene'? Why are there no animals with wheels? When does 'maximizing fitness' lead to evolutionary extinction? How are sex and parasites related? Why don't snakes eat grass? Why don't we have eyes in the back of our heads? How does modern genomics illustrate and challenge the field?

This course analyzes evolution from a computational, modeling, and engineering perspective. The course has extensive hands-on laboratory exercises in model-building and analyzing evolutionary data.

uk: вхід без авторизації


keywords:
Science
Biology
Genetics
Computation and Systems Biology

uk: Математика, природничі науки

description: With the growing availability and lowering costs of genotyping and personal genome sequencing, the focus has shifted from the ability to obtain the sequence to the ability to make sense of the resulting information. This course is aimed at exploring the computational challenges associated with interpreting how sequence differences between individuals lead to phenotypic differences in gene expression, disease predisposition, or response to treatment.

uk: вхід без авторизації

name: Computational Personal Genomics: Making Sense of Complete Genomes


keywords:
Engineering
Computer Science
Systems Engineering
Electrical Engineering
Signal Processing
Computational Modeling and Simulation
Graphics and Visualization

uk: Комп'ютерні науки

de: Elektrotechnik und Informationstechnik

uk: Електротехніка та інформаційні технології

en: Electrical Engineering and Information Engineering

description:
Most algorithms in computer vision and image analysis can be understood in terms of two important components: a representation and a modeling/estimation algorithm. The representation defines what information is important about the objects and is used to describe them. The modeling techniques extract the information from images to instantiate the representation for the particular objects present in the scene. In this seminar, we will discuss popular representations (such as contours, level sets, deformation fields) and useful methods that allow us to extract and manipulate image information, including manifold fitting, markov random fields, expectation maximization, clustering and others.

For each concept -- a new representation or an estimation algorithm -- a lecture on the mathematical foundations of the concept will be followed by a discussion of two or three relevant research papers in computer vision, medical and biological imaging, that use the concept in different ways. We will aim to understand the fundamental techniques and to recognize situations in which these techniques promise to improve the quality of the analysis.

uk: вхід без авторизації

name: Representation and Modeling for Image Analysis


Larry Rudolph

honorificPrefix: Dr.

keywords:
Engineering
Computer Science
Programming Languages
Theory of Computation
Human-Computer Interfaces

uk: Комп'ютерні науки

description:
This course is broad, covering a wide range of topics that have to do with the post-pc era of computing. It is a hands-on project course that also includes some foundational subjects. Students will program iPAQ handheld computers, cell phones (series 60 phones), speech processing, vision, Cricket location systems, GPS, and more. Most of the programming will be using Python®, but Python® can be learned and mastered during the course.

This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5508 (Pervasive Computing).

uk: вхід без авторизації

name: Pervasive Human Centric Computing (SMA 5508)


uk: Комп'ютерні науки

description: This file contains the quiz questions for topics covered in the course.

uk: вхід без авторизації

cs: Cvičení

de: Übung

fi: Harjoitus

uk: Практика

en: Drill and Practice

fr: Apprentissage par Répétition

da: Øvelse

nl: Oefenen

es: Práctica


Program Analysis

keywords:
Engineering
Computer Science
Software Design and Engineering
Algorithms and Data Structures

uk: Комп'ютерні науки

description: 6.883 is a graduate seminar that investigates a variety of program analysis techniques that address software engineering tasks. Static analysis topics include abstract interpretation (dataflow), type systems, model checking, decision procedures (SAT, BDDs), theorem-proving. Dynamic analysis topics include testing, fault isolation (debugging), model inference, and visualization. While the course focuses on the design and implementation of programming tools, the material will be useful to anyone who wishes to improve his or her programming or understand the state of the art. Students are expected to read classic and current technical papers, actively participate in class discussion, perform small exercises that provide experience with a variety of tools, and complete a team research project.

uk: вхід без авторизації


Complex Digital Systems

keywords:
Engineering
Computer Science
Mathematics
Electrical Engineering
Computer Design and Engineering
Discrete Mathematics
Digital Systems

uk: Комп'ютерні науки

cs: Matematika

de: Mathematik

fi: matematiikka

uk: Математика

en: Mathematics

fr: Mathématiques

da: Matematik

es: Matemáticas

nl: Wiskunde

uk: Математика, природничі науки

description: This course is offered to graduates and is a project-oriented course to teach new methodologies for designing multi-million-gate CMOS VLSI chips using high-level synthesis tools in conjunction with standard commercial EDA tools. The emphasis is on modular and robust designs, reusable modules, correctness by construction, architectural exploration, and meeting the area, timing, and power constraints within standard cell and FPGA frameworks.

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This file contains problems on optimizing delay of a sign-extension circuit, optimizing delay of branch comparator, calculating minimum clock period, rule firing in bluespec and bluespec synthesis.

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This file contains solutions to problems on optimizing delay of a sign-extension circuit, optimizing delay of branch comparator, calculating minimum clock period, rule firing in bluespec and bluespec synthesis.

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This file contains list of topics to be covered in friday's quiz.

uk: вхід без авторизації


keywords:
Engineering
Computer Science
Mathematics
Computation
Algorithms and Data Structures
Theory of Computation

name: Lecture 17: Nondeterministic Constraint Logic

uk: Комп'ютерні науки

uk: Математика, природничі науки

description: 6.890 Algorithmic Lower Bounds: Fun with Hardness Proofs is a class taking a practical approach to proving problems can't be solved efficiently (in polynomial time and assuming standard complexity-theoretic assumptions like P ≠ NP). The class focuses on reductions and techniques for proving problems are computationally hard for a variety of complexity classes. Along the way, the class will create many interesting gadgets, learn many hardness proof styles, explore the connection between games and computation, survey several important problems and complexity classes, and crush hopes and dreams (for fast optimal solutions).

uk: вхід без авторизації


Lecture 1: Overview

uk: Комп'ютерні науки

uk: Математика, природничі науки

name: Algorithmic Lower Bounds: Fun with Hardness Proofs

uk: вхід без авторизації

cs: Video

de: Video

fi: Video

uk: Відео

en: Video

fr: Vidéo

da: Video

nl: Video

es: Video


Lecture 10: Inapproximabililty Overview

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 11: Inapproximability Examples

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 12: Gaps and PCP

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 13: W Hierarchy

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 14: ETH and Planar FPT

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 15: #P and ASP

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 16: NP and PSPACE Video Games

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 18: 0- and 2-Player Games

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 19: Unbounded Games

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 2: 3-Partition I

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 20: Undecidable and P-Complete

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 21: 3SUM and APSP Hardness

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 22: PPAD

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 23: PPAD Reductions

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 3: 3-Partition II

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 4: SAT I

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 5: SAT Reductions

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 6: Circuit SAT

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 7: Planar SAT

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 8: Hamiltonicity

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 9: Graph Problems

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Computational Models of Discourse

keywords:
Engineering
Computer Science
Humanities
Artificial Intelligence
Linguistics
Theory of Computation

de: Geisteswissenschaften

uk: Гуманітарні науки

en: Humanities

uk: Комп'ютерні науки

description:
This course is a graduate level introduction to automatic discourse processing. The emphasis will be on methods and models that have applicability to natural language and speech processing.

The class will cover the following topics: discourse structure, models of coherence and cohesion, plan recognition algorithms, and text segmentation. We will study symbolic as well as machine learning methods for discourse analysis. We will also discuss the use of these methods in a variety of applications ranging from dialogue systems to automatic essay writing.

This subject qualifies as an Artificial Intelligence and Applications concentration subject.

uk: вхід без авторизації


Essential Coding Theory

keywords:
Engineering
Computer Science
Algorithms and Data Structures
Theory of Computation

uk: Комп'ютерні науки

description:
This course introduces the theory of error-correcting codes to computer scientists. This theory, dating back to the works of Shannon and Hamming from the late 40's, overflows with theorems, techniques, and notions of interest to theoretical computer scientists. The course will focus on results of asymptotic and algorithmic significance. Principal topics include:

1.  Construction and existence results for error-correcting codes.
2.  Limitations on the combinatorial performance of error-correcting codes.
3.  Decoding algorithms.
4.  Applications in computer science.

uk: вхід без авторизації


Theory of Parallel Systems (SMA 5509)

uk: Комп'ютерні науки

description:
6.895 covers theoretical foundations of general-purpose parallel computing systems, from languages to architecture. The focus is on the algorithmic underpinnings of parallel systems. The topics for the class will vary depending on student interest, but will likely include multithreading, synchronization, race detection, load balancing, memory consistency, routing networks, message-routing algorithms, and VLSI layout theory. The class will emphasize randomized algorithms and probabilistic analysis, including high-probability arguments.

This course was also taught as part of the [Singapore-MIT Alliance](http://web.mit.edu/sma/) (SMA) programme as course number SMA 5509 (Theory of Parallel Systems).

uk: вхід без авторизації


Theory of Parallel Hardware (SMA 5511)

keywords:
Engineering
Computer Science
Algorithms and Data Structures
Theory of Computation
Computer Design and Engineering

uk: Комп'ютерні науки

description:
6.896 covers mathematical foundations of parallel hardware, from computer arithmetic to physical design, focusing on algorithmic underpinnings. Topics covered include: arithmetic circuits, parallel prefix, systolic arrays, retiming, clocking methodologies, boolean logic, sorting networks, interconnection networks, hypercubic networks, P-completeness, VLSI layout theory, reconfigurable wiring, fat-trees, and area-time complexity.

This course was also taught as part of the [Singapore-MIT Alliance](http://web.mit.edu/sma/) (SMA) programme as course number SMA 5511 (Theory of Parallel Hardware).

uk: вхід без авторизації


fsol.pdf

uk: Комп'ютерні науки

description: Exam and solutions.

uk: вхід без авторизації


Selected Topics in Cryptography

uk: Комп'ютерні науки

description: This course covers a number of advanced "selected topics" in the field of cryptography. The first part of the course tackles the foundational question of how to define security of cryptographic protocols in a way that is appropriate for modern computer networks, and how to construct protocols that satisfy these security definitions. For this purpose, the framework of "universally composable security" is studied and used. The second part of the course concentrates on the many challenges involved in building secure electronic voting systems, from both theoretical and practical points of view. In the third part, an introduction to cryptographic constructions based on bilinear pairings is given.

uk: вхід без авторизації


Inventions and Patents

keywords:
Entrepreneurship
Innovation
Social Science
Business
Legal Studies

de: Sozialwissenschaften/Soziologie

uk: Суспільні науки та соціологія

en: Social Sciences/Sociology

de: Betriebswirtschaftslehre

uk: Бізнес-адміністрування

en: Business Administration

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 course explores the history of private and public rights in scientific discoveries and applied engineering, leading to the development of worldwide patent systems. The classes of invention protectable under the patent laws of the U.S., including the procedures in protecting inventions in the Patent Office and the courts will be examined. A review of past cases involving inventions and patents in:

1.  the chemical process industry and medical pharmaceutical, biological, and genetic-engineering fields;
2.  devices in the mechanical, ocean exploration, civil, and/or aeronautical fields;
3.  the electrical, computer, software, and electronic areas, including key radio, solid-state, computer and software inventions; and also
4.  software protection afforded under copyright laws.

Periodic joint real-time class sessions and discussions by video-audio Internet conferencing, with other universities will also be conducted.

uk: вхід без авторизації


keywords:
Engineering
Science
Computer Science
Humanities
Electrical Engineering
Linguistics
Signal Processing
Cognitive Science
Theory of Computation
Phonology

de: Psychologie

uk: Психологія

en: Psychology

uk: Комп'ютерні науки

uk: Гуманітарні науки

uk: Право, економіка та суспільні науки

description:
This course presents a tutorial on the ToBI (Tones and Break Indices) system, for labelling certain aspects of prosody in Mainstream American English (MAE-ToBI). The course is appropriate for undergrad or grad students with background in linguistics (phonology or phonetics), cognitive psychology (psycholinguistics), speech acoustics or music, who wish to learn about the prosody of speech, i.e. the intonation, rhythm, grouping and prominence patterns of spoken utterances, prosodic differences that signal meaning and phonetic implementation.

Please submit any feedback about the course content using the [user survey](https://goo.gl/forms/CNZKqMjP760O2t9x1).

uk: вхід без авторизації

name: Transcribing Prosodic Structure of Spoken Utterances with ToBI


Introduction to Copyright Law

keywords:
Social Science
Legal Studies

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

description: This course is an introduction to copyright law and American law in general. Topics covered include: structure of federal law; basics of legal research; legal citations; how to use LexisNexis®; the 1976 Copyright Act; copyright as applied to music, computers, broadcasting, and education; fair use; Napster®, Grokster®, and Peer-to-Peer file-sharing; Library Access to Music Project; The 1998 Digital Millennium Copyright Act; DVDs and encryption; software licensing; the GNU® General Public License and free software.

uk: вхід без авторизації


keywords:
Engineering
Innovation
Social Science
Public Administration
Business
Legal Studies
Science and Technology Policy

de: Ingenieurwissenschaften

en: Engineering Sciences

uk: Суспільні науки та соціологія

uk: Бізнес-адміністрування

de: Verwaltungswissenschaften

uk: Управління та адміністрування

en: Administrative Sciences

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description:
This course examines the role of the engineer as patent expert and as technical witness in court and patent interference and related proceedings. It discusses the rights and obligations of engineers in connection with educational institutions, government, and large and small businesses. It compares various manners of transplanting inventions into business operations, including development of New England and other U.S. electronics and biotechnology industries and their different types of institutions. The course also considers American systems of incentive to creativity apart from the patent laws in the atomic energy and space fields.

Acknowledgment
--------------

The instructors would like to thank Joanne Rines and Elijah Ercolino for their efforts in preparing this course.

uk: вхід без авторизації

name: Development of Inventions and Creative Ideas


keywords: Engineering Entrepreneurship Innovation Business

uk: Бізнес-адміністрування

uk: Право, економіка та суспільні науки

uk: Бізнес та економіка

description: 6.933J / STS.420J provides an integrated approach to engineering practice in the real world. Students of 6.933J / STS.420J research the life cycle of a major engineering project, new technology, or startup company from multiple perspectives: technical, economic, political, and cultural. Research involves interviewing inventors, reading laboratory notebooks, evaluating patents, and looking over the shoulders of engineers as they developed today's technologies. This subject is for students who recognize that technical proficiency alone is only part of the formula for success in technology.

de: keine Anmeldung erforderlich

uk: вхід без авторизації

en: no login required

name: The Structure of Engineering Revolutions


keywords:
Engineering
Computer Science
Artificial Intelligence
Software Design and Engineering
Programming Languages

de: Informatik

uk: Комп'ютерні науки

en: Computer Science

description:
This course covers concepts and techniques for the design and implementation of large software systems that can be adapted to uses not anticipated by the designer. Applications include compilers, computer-algebra systems, deductive systems, and some artificial intelligence applications. Topics include combinators, generic operations, pattern matching, pattern-directed invocation, rule systems, backtracking, dependencies, indeterminacy, memoization, constraint propagation, and incremental refinement. Substantial weekly programming assignments are an integral part of the subject.

There will be extensive programming assignments, using [MIT/GNU Scheme](http://www.gnu.org/software/mit-scheme/). Students should have significant programming experience in Scheme, Common Lisp, Haskell, CAML or some other "functional" language.

uk: вхід без авторизації

name: Adventures in Advanced Symbolic Programming

de: Kurs

en: Course


keywords:
Engineering
Mathematics
Systems Engineering
Computation
Systems Optimization
Algebra and Number Theory

uk: Математика, природничі науки

description: This research-oriented course will focus on algebraic and computational techniques for optimization problems involving polynomial equations and inequalities with particular emphasis on the connections with semidefinite optimization. The course will develop in a parallel fashion several algebraic and numerical approaches to polynomial systems, with a view towards methods that simultaneously incorporate both elements. We will study both the complex and real cases, developing techniques of general applicability, and stressing convexity-based ideas, complexity results, and efficient implementations. Although we will use examples from several engineering areas, particular emphasis will be given to those arising from systems and control applications.

uk: вхід без авторизації

name: Algebraic Techniques and Semidefinite Optimization


Communication System Design

keywords:
Engineering
Computer Science
Systems Engineering
Electrical Engineering
Telecommunications
Computer Networks
Systems Design

uk: Комп'ютерні науки

description: This course presents a top-down approach to communications system design. The course will cover communication theory, algorithms and implementation architectures for essential blocks in modern physical-layer communication systems (coders and decoders, filters, multi-tone modulation, synchronization sub-systems). The course is hands-on, with a project component serving as a vehicle for study of different communication techniques, architectures and implementations. This year, the project is focused on WLAN transceivers. At the end of the course, students will have gone through the complete WLAN System-On-a-Chip design process, from communication theory, through algorithm and architecture all the way to the synthesized standard-cell RTL chip representation.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Supporting MATLAB? file for Exam 1.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Exam on discrete multitone system design.

uk: вхід без авторизації


Organic Optoelectronics

keywords:
Engineering
Mechanical Engineering
Biological Engineering
Electrical Engineering
Nanotechnology
Biotechnology
Microtechnology

de: Maschinenbau/Verfahrenstechnik

uk: Машинобудування/Технологія

en: Mechanical Engineering / Process Engineering

de: Biotechnologie

uk: Біотехнологія

en: Biotechnology

uk: Математика, природничі науки

de: Biologie

en: Biology

description: The course examines optical and electronic processes in organic molecules and polymers that govern the behavior of practical organic optoelectronic devices. Electronic structure of a single organic molecule is used as a guide to the electronic behavior of organic aggregate structures. Emphasis is placed on the use of organic thin films in active organic devices including organic LEDs, solar cells, photodetectors, transistors, chemical sensors, memory cells, electrochromic devices, as well as xerography and organic non-linear optics. How to reach the ultimate miniaturization limit of molecular electronics and related nanoscale patterning techniques of organic materials will also be discussed. The class encompasses three laboratory sessions during which the students will practice the use of select vacuum and non-vacuum organic deposition techniques by making their own active organic devices.

uk: вхід без авторизації


keywords:
Engineering
Science
Physics
Electronics
Electrical Engineering
Atomic, Molecular, Optical Physics
Quantum Mechanics
Electromagnetism

de: Elektrotechnik und Informationstechnik

en: Electrical Engineering and Information Engineering

de: Physik

uk: Фізика

en: Physics

de: Mathematik, Naturwissenschaften

uk: Математика, природничі науки

en: Mathematics, Natural Sciences

de: Physik, Astronomie

fi: fysiikka, tähtitiede

uk: Фізика, Астрономія

en: Physics, Astronomy

fr: Physique, Astronomie

da: Fysik, Astronomi

es: Física, Astronomía

nl: Natuurkunde, Astronomie

description: This course explores the fundamentals of optical and optoelectronic phenomena and devices based on classical and quantum properties of radiation and matter culminating in lasers and applications. Fundamentals include: Maxwell's electromagnetic waves, resonators and beams, classical ray optics and optical systems, quantum theory of light, matter and its interaction, classical and quantum noise, lasers and laser dynamics, continuous wave and short pulse generation, light modulation; examples from integrated optics and semiconductor optoelectronics and nonlinear optics.

uk: вхід без авторизації

name: Fundamentals of Photonics: Quantum Electronics


uk: Математика, природничі науки

uk: Фізика, Астрономія

description: This resource contains problems on fabry-perot filter, abcd matrices, gaussian beams and resonators, and laser.

uk: вхід без авторизації

de: Übung

en: Drill and Practice


uk: Математика, природничі науки

uk: Фізика, Астрономія

description: This resource contains problems on susceptibility and absorption, pulse propagation, group and phase velocity, and reflection of em-waves at interfaces.

uk: вхід без авторизації


uk: Математика, природничі науки

uk: Фізика, Астрономія

description: This resource contains problems on gaussian beams and resonators, coupled waveguide modes, and Polarization of Light.

uk: вхід без авторизації


keywords:
Engineering
Computer Science
Electrical Engineering
Telecommunications
Computer Networks
Computer Design and Engineering
Digital Systems

uk: Комп'ютерні науки

description: 6.976 covers circuit and system level design issues of high speed communication systems, with primary focus being placed on wireless and broadband data link applications. Specific circuit topics include transmission lines, high speed and low noise amplifiers, VCO's, and high speed digital circuits. Specific system topics include frequency synthesizers, clock and data recovery circuits, and GMSK transceivers. In addition to learning analysis skills for the above items, students will gain a significant amount of experience in simulating circuits in SPICE and systems in CppSim (a custom C++ simulator).

uk: вхід без авторизації

name: High Speed Communication Circuits and Systems


quiz.pdf

uk: Комп'ютерні науки

description: Mid-Term Exam

uk: вхід без авторизації


keywords:
Engineering
Science
Physics
Electronics
Electrical Engineering
Materials Science and Engineering
Atomic, Molecular, Optical Physics
Electronic Materials
Condensed Matter Physics

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: 6.977 focuses on the physics of the interaction of photons with semiconductor materials. The band theory of solids is used to calculate the absorption and gain of semiconductor media. The rate equation formalism is used to develop the concepts of laser threshold, population inversion and modulation response. Matrix methods and coupled mode theory are applied to resonator structures such as distributed feedback lasers, tunable lasers and microring devices. The course is also intended to introduce students to noise models for semiconductor devices and to applications of optoelectronic devices to fiber optic communications. This course is worth 12 Engineering Design points.

uk: вхід без авторизації

name: Semiconductor Optoelectronics: Theory and Design


Ultrafast Optics

keywords:
Engineering
Science
Physics
Electrical Engineering
Signal Processing
Atomic, Molecular, Optical Physics
Telecommunications

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: This course is offered to graduate students and addresses issues regarding ultrafast optics. Topics covered include: Generation, propagation and applications of ultrashort pulses (nano-, pico-, femto-, attosecond pulses); Linear and nonlinear pulse shaping processes: Optical solitons, Pulse compression; Laser principles: Single- and multi-mode laser dynamics, Q-switching, Active and passive mode-locking; Pulse characterization: Autocorrelation, FROG, SPIDER; Noise in mode-locked lasers and its limitations in measurements; Laser amplifiers, optical parametric amplifiers, and oscillators; Applications in research and industry: Pump-probe techniques, Optical imaging, Frequency metrology, Laser ablation, High harmonic generation.

uk: вхід без авторизації


keywords:
Engineering
Computer Science
Artificial Intelligence
Teaching and Education
Educational Technology
Curriculum and Teaching

uk: Комп'ютерні науки

de: Erziehungswissenschaften

uk: Педагогічні науки

en: Educational Sciences

uk: Право, економіка та суспільні науки

description: The emergence of transformer architectures in 2017 triggered a breakthrough in machine learning that today lets anyone create computer-generated essays, stories, pictures, music, videos, and programs from high-level prompts in natural language, all without the need to code. That has stimulated fervent discussion among educators about the implications of generative AI systems for curricula and teaching methods across a broad range of subjects. It has also raised questions of how to understand both these systems and the at times overstated claims made for them. This class will introduce the foundations of generative AI technology, and participants will explore new opportunities it enables for K–12 education. It will also describe and explore how an analytical frame of mind can help make clear the core issues underlying both the successes and failures of these systems. Much of the work will be project-based, involving implementing innovative teaching and learning tools and testing these with K–12 students and teachers.

uk: вхід без авторизації

name: Generative Artificial Intelligence in K–12 Education


Nanomaker

keywords:
Engineering
Electronics
Electrical Engineering
Nanotechnology
Energy
Technology
Materials Science and Engineering
Electronic Materials

description:
This course links clean energy sources and storage technology to energy consumption case studies to give students a concept of the full circle of production and consumption. Specifically, photovoltaic, organic photovoltaic, piezoelectricity and thermoelectricity sources are applied to electrophoresis, lab on a chip, and paper microfluidic applications–relevant analytical techniques in biology and chemistry. Hands-on experimentation with everyday materials and equipment help connect the theory with the implementation. Complementary laboratories fabricating LEDs, organic LEDs and spectrometers introduce the diagnostic tools used to characterize energy efficiency.

This course is one of many [OCW Energy Courses](/courses/energy-courses/), and it is an elective subject in MIT’s undergraduate [Energy Studies Minor](http://mitei.mit.edu/education/energy-minor/). This Institute-wide program complements the deep expertise obtained in any major with a broad understanding of the interlinked realms of science, technology, and social sciences as they relate to energy and associated environmental challenges.

uk: вхід без авторизації


Foundation Models and Generative AI

keywords:
Engineering
Computer Science
Artificial Intelligence

uk: Комп'ютерні науки

description: ChatGPT, Copilot, CLIP, Dall-E, Stable-Diffusion, AlphaFold, self-driving cars—is now the time that artificial intelligence (AI) lives up to all its hype? What's the secret sauce behind these recent breakthroughs within AI? They're called foundation models and generative AI, and it is changing everything. With the help of it, some believe that Artificial General Intelligence (AGI) has already been achieved. In this non-technical series of lectures, we will start with a short history of AI, then move on to with what supervised learning and reinforcement learning is missing, and conclude with the deep practical and foundational implications foundation models and how we arrive at them via self-supervised learning. We cover applications in both science and business. All backgrounds are welcome.

uk: вхід без авторизації


Programming for the Puzzled

keywords:
Engineering
Computer Science
Programming Languages
Algorithms and Data Structures

uk: Комп'ютерні науки

description: This class builds a bridge between the recreational world of algorithmic puzzles (puzzles that can be solved by algorithms) and the pragmatic world of computer programming, teaching students to program while solving puzzles. Python syntax and semantics required to understand the code are explained as needed for each puzzle.

uk: вхід без авторизації


Effective Programming in C and C++

keywords:
Engineering
Computer Science
Software Design and Engineering
Programming Languages

uk: Комп'ютерні науки

description:
This course is a fast-paced introduction to the C and C++ programming languages, with an emphasis on good programming practices and how to be an effective programmer in these languages. Topics include object-oriented programming, memory management, advantages of C and C++, optimization, and others. Students are given weekly coding assignments and a final project to hone their skills. Recommended for programmers with some background and experience in other languages.

This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

uk: вхід без авторизації


Introduction to C and C++

uk: Комп'ютерні науки

description:
This course provides a fast-paced introduction to the C and C++ programming languages. You will learn the required background knowledge, including memory management, pointers, preprocessor macros, object-oriented programming, and how to find bugs when you inevitably use any of those incorrectly. There will be daily assignments and a small-scale individual project.

This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

uk: вхід без авторизації


Introduction to Deep Learning

keywords:
Engineering
Computer Science
Artificial Intelligence
Software Design and Engineering
Graphics and Visualization

uk: Комп'ютерні науки

description: This is MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Course concludes with a project proposal competition with feedback from staff and panel of industry sponsors. Prerequisites assume calculus (i.e. taking derivatives) and linear algebra (i.e. matrix multiplication), and we'll try to explain everything else along the way! Experience in Python is helpful but not necessary.

uk: вхід без авторизації


Machine Learning for Healthcare

keywords:
Engineering
Computer Science
Artificial Intelligence
Health and Medicine
Public Health
Medical Imaging
Human-Computer Interfaces

name: Lecture 7: Natural Language Processing (NLP), Part 1

name: Lecture 8: Natural Language Processing (NLP), Part 2

name: Lecture 9: Translating Technology Into the Clinic

name: Lecture 1: What Makes Healthcare Unique?

name: Lecture 10: Application of Machine Learning to Cardiac Imaging

name: Lecture 12: Machine Learning for Pathology

name: Lecture 13: Machine Learning for Mammography

name: Lecture 16: Reinforcement Learning, Part 1

name: Lecture 17: Reinforcement Learning, Part 2

name: Lecture 18: Disease Progression Modeling and Subtyping, Part 1

name: Lecture 19: Disease Progression Modeling and Subtyping, Part 2

name: Lecture 21: Automating Clinical Work Flows

name: Lecture 22: Regulation of Machine Learning / Artificial Intelligence in the US

uk: Комп'ютерні науки

de: Humanmedizin/Gesundheitswissenschaften

uk: Медицина / Науки про здоров'я

en: Human Medicine / Health Sciences

description: This course introduces students to machine learning in healthcare, including the nature of clinical data and the use of machine learning for risk stratification, disease progression modeling, precision medicine, diagnosis, subtype discovery, and improving clinical workflows.

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації

de: Video

en: Video


uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


Lecture 11: Differential Diagnosis

uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


Lecture 14: Causal Inference, Part 1

uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


Lecture 15: Causal Inference, Part 2

uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


Lecture 2: Overview of Clinical Care

uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


Lecture 20: Precision Medicine

uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


Lecture 23: Fairness

uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


Lecture 24: Robustness to Dataset Shift

uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


Lecture 25: Interpretability

uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


Lecture 3: Deep Dive Into Clinical Data

uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


Lecture 4: Risk Stratification, Part 1

uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


Lecture 5: Risk Stratification, Part 2

uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


Lecture 6: Physiological Time-Series

uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Медицина / Науки про здоров'я

uk: вхід без авторизації


Climate Change Seminar

keywords:
Engineering
Science
Systems Engineering
Earth Science
Computational Modeling and Simulation
Climate Studies

de: Geowissenschaften (ohne Geographie)

uk: Науки про Землю(крім географії)

en: Geosciences (excl. Geography)

uk: Математика, природничі науки

description: This course provides a broad overview of issues related to climate change, with an emphasis on those aspects most relevant to computer scientists. Topics include climate science, climate models and simulations, decision-making under uncertainty, economics, mitigation strategies, adaptation strategies, geoengineering, policy-making, messaging, and politics.The course will culminate in a presentation of a research project which might include a paper, a blog, software etc.

uk: вхід без авторизації


Machine Learning for Inverse Graphics

keywords:
Engineering
Computer Science
Artificial Intelligence
Graphics and Visualization

de: Ingenieurwissenschaften

en: Engineering Sciences

uk: Комп'ютерні науки

description: This course covers fundamental and advanced techniques in this field at the intersection of computer vision, computer graphics, and geometric deep learning. It will lay the foundations of how cameras see the world, how we can represent 3D scenes for artificial intelligence, how we can learn to reconstruct these representations from only a single image, how we can guarantee certain kinds of generalizations, and how we can train these models in a self-supervised way.

uk: вхід без авторизації


COVID-19, SARS-CoV-2 and the Pandemic

keywords:
Science
Biology
Molecular Biology
Microbiology
Virology
Cell Biology

uk: Математика, природничі науки

description:
During Fall 2020, all MIT students and the general public were welcomed to join Professors Richard Young and Facundo Batista as they discussed the science of the pandemic during this new class. The livestream of the lectures was available to the public, but only registered students were able to ask questions during the Q&A.

Special guest speakers included: Drs. Anthony Fauci, David Baltimore, James Bradner, Victoria Clark, Kizzmekia Corbett, Britt Glaunsinger, Akiko Iwasaki, Eric Lander, Michael Mina, Michel Nussenzweig, Shiv Pillai, Arlene Sharpe, Skip Virgin, and Bruce Walker.

NOTE: This class ran from September 1, 2020 through December 8, 2020.

uk: вхід без авторизації


COVID-19, SARS-CoV-2, and the Pandemic

keywords:
Science
Biology
Genetics
Molecular Biology
Microbiology
Virology
Cell Biology

uk: Математика, природничі науки

description:
During Fall 2021, all MIT students and the general public are welcome to join Professors Richard Young and Facundo Batista as they discuss the science of the COVID-19 pandemic. The livestream of the lectures is available to the public, but only registered students are able to ask questions during the Q&A.

Lectures will be given by leading experts on the fundamentals of coronavirus and host cell biology, immunology, epidemiology, clinical disease, and vaccine and therapeutic development. Guest faculty include Amy Barczak, Dan Barouch, Arup Chakraborty, Victoria Clark, Shane Crotty, Anthony Fauci, Britt Glaunsinger, Salim Karim, Shiv Pillai, Rochelle Walensky, Bruce Walker, Laura Walker, and Andrew Ward.

uk: вхід без авторизації


Applied Molecular Biology Lab

keywords:
Science
Biology
Genetics
Molecular Biology
Cell Biology

uk: Математика, природничі науки

description: 7.003 is an experimental biology course. You will spend most of your time in the teaching laboratory practicing fundamental techniques in molecular biology, genetics, and cell biology, and working with the model organism *Saccharomyces cerevisiae* (budding yeast). In addition to learning how to accurately and safely perform these techniques, we want to help you understand how and why they work and what scientific questions they can address. The goal is for you to be able to design your own experiments to perform by the end of the semester.

uk: вхід без авторизації


Introduction to Biology

keywords: Science Biology

name: Lecture 34: Human Polymorphisms and Cancer Classification

name: Lecture 35: Human Polymorphisms and Cancer Classification

uk: Математика, природничі науки

description:
The MIT Biology Department core courses, 7.012, 7.013, and 7.014, all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. Biological function at the molecular level is particularly emphasized and covers the structure and regulation of genes, as well as, the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into multicellular systems and organisms. In addition, each version of the subject has its own distinctive material.

7.012 focuses on the exploration of current research in cell biology, immunology, neurobiology, genomics, and molecular medicine.

Acknowledgments
---------------

The study materials, problem sets, and quiz materials used during Fall 2004 for 7.012 include contributions from past instructors, teaching assistants, and other members of the MIT Biology Department affiliated with course #7.012. Since the following works have evolved over a period of many years, no single source can be attributed.

uk: вхід без авторизації


finalprac.pdf

uk: Математика, природничі науки

description: Practice exam.

uk: вхід без авторизації


Lecture 1: Introduction

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 10: Molecular Biology 1

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 11: Molecular Biology 2

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 12: Molecular Biology 3

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 13: Gene Regulation

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 14: Protein Localization

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 15: Recombinant DNA 1

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 16: Recombinant DNA 2

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 17: Recombinant DNA 3

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 18: Recombinant DNA 4

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 19: Cell Cycle/Signaling

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 2: Biochemistry 1

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 20: Cancer

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 21: Virology/Tumor Viruses

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 22: Immunology 1

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 23: Immunology 2

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 24: AIDS

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 25: Genomics

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 26: Nervous System 1

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 27: Nervous System 2

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 28: Nervous System 3

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 29: Stem Cells/Cloning 1

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 30: Stem Cells/Cloning 2

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 31: Molecular Medicine 1

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 32: Molecular Evolution

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 33: Molecular Medicine 2

uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 4: Biochemistry 3

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 5: Biochemistry 4

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 6: Genetics 1

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 7: Genetics 2

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 8: Genetics 3

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 9: Human Genetics

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 3: Biochemistry 2 (audio only)

uk: Математика, природничі науки

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


uk: Математика, природничі науки

description: Practice quiz.

de: keine Anmeldung erforderlich

uk: вхід без авторизації

en: no login required


uk: Математика, природничі науки

description: Quiz problems with solutions provided.

uk: вхід без авторизації


Introductory Biology

keywords:
Science
Biology
Genetics
Molecular Biology
Biochemistry
Developmental Biology
Cell Biology

de: Biochemie

uk: Біохімія

en: Biochemistry

uk: Математика, природничі науки

de: Chemie

fi: kemia

uk: Хімія

en: Chemistry

fr: Chimie

da: Kemi

es: Química

nl: Scheikunde

description:
The MIT Biology Department core courses, [7.012](/courses/7-012-introduction-to-biology-fall-2004/), 7.013, and [7.014](/courses/7-014-introductory-biology-spring-2005/), all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. 7.013 focuses on the application of the fundamental principles toward an understanding of human biology. Topics include genetics, cell biology, molecular biology, disease (infectious agents, inherited diseases and cancer), developmental biology, neurobiology and evolution.

Biological function at the molecular level is particularly emphasized in all courses and covers the structure and regulation of genes, as well as, the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into multicellular systems and organisms. In addition, each version of the subject has its own distinctive material.

uk: вхід без авторизації


Lecture 21: Development - 1

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 22: Development - 2

uk: Математика, природничі науки

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Lecture 23: Stem Cells

uk: Математика, природничі науки

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Lecture 24: Nervous System 1

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Lecture 25: Nervous System 2

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Lecture 26: Nervous System 3

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Lecture 29: Cancer - 1

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Lecture 30: Cancer - 2

uk: Математика, природничі науки

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Lecture 31: Cancer - 3

uk: Математика, природничі науки

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7.013 Practice Exam 1

uk: Математика, природничі науки

description: This resource contains information regarding practice Exam 1.

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Solution Key 7.013 Practice Exam 1

uk: Математика, природничі науки

description: This file contains information regarding solution key 7.013 practice exam 1.

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7.013 Practice Exam 2

uk: Математика, природничі науки

description: This resource contains information regarding practice Exam 2.

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Solution Key 7.013 Practice Exam 2

uk: Математика, природничі науки

description: This file contains information regarding solution key 7.013 practice exam 2.

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7.013 Practice Exam 3

uk: Математика, природничі науки

description: This resource contains information regarding practice Exam 3.

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Solution Key 7.013 Practice Exam 3

uk: Математика, природничі науки

description: This file contains information regarding solution key 7.013 practice exam 3.

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7.013 Practice Final Exam Solution

uk: Математика, природничі науки

description: This resource contains information regarding practice final exam solution.

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7.013 Practice Final Exam

uk: Математика, природничі науки

description: This resource contains information regarding practice final exam.

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Introductory Biology

uk: Математика, природничі науки

description: The MIT Biology Department core Introductory Biology courses, 7.012, 7.013, 7.014, 7.015, and 7.016 all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. The focus of 7.013 is on genomic approaches to human biology, including neuroscience, development, immunology, tissue repair and stem cells, tissue engineering, and infectious and inherited diseases, including cancer.

uk: вхід без авторизації

de: Kurs

en: Course


7.013 S18 Exam 1

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7.013 S18 Exam 1 Solutions

uk: Математика, природничі науки

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7.013 S18 Exam 2

uk: Математика, природничі науки

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7.013 S18 Exam 2 Solutions

uk: Математика, природничі науки

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7.013 S18 Exam 3

uk: Математика, природничі науки

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7.013 S18 Exam 3 Solutions

uk: Математика, природничі науки

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Introductory Biology

name: 10: Molecular Biology II - Process of Science

name: 20: Limiting Factors and Biogeochemical Cycles

name: 27: Recombinant DNA III (cont.) - Immunology I

name: 8: Biochemistry VI (cont.) - DNA as Genetic Material

name: 13: Molecular Biology IV (cont.) - Gene Regulation I

uk: Математика, природничі науки

description:
The MIT Biology Department core courses, [7.012](https://ocw.mit.edu/courses/7-012-introduction-to-biology-fall-2004/), [7.013](https://ocw.mit.edu/courses/7-013-introductory-biology-spring-2018/), and 7.014, all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. Biological function at the molecular level is particularly emphasized and covers the structure and regulation of genes, as well as, the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into multicellular systems and organisms. In addition, each version of the subject has its own distinctive material.

7.014 focuses on the application of these fundamental principles, toward an understanding of microorganisms as geochemical agents responsible for the evolution and renewal of the biosphere and of their role in human health and disease.

Acknowledgements

The study materials, problem sets, and quiz materials used during Spring 2005 for 7.014 include contributions from past instructors, teaching assistants, and other members of the MIT Biology Department affiliated with course 7.014. Since the following works have evolved over a period of many years, no single source can be attributed.

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1: Introduction

uk: Математика, природничі науки

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16: The Biosphere

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11: Molecular Biology III

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12: Molecular Biology IV

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14: Gene Regulation II

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15: Bacterial Genetics

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17: Carbon and Energy Metabolism

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18: Productivity and Food Webs

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19: Regulation of Productivity

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2: Biochemistry I

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28: Immunology II

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21: Mendelian Genetics

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22: Mitosis and Meiosis

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23: Diploid Genetics

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24: Recombinant DNA I

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25: Recombinant DNA II

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26: Recombinant DNA III

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29: Population Growth I

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3: Biochemistry II

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30: Population Growth II

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31: Population Genetics and Evolution

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32: Molecular Evolution

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33: Communities I

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34: Communities II

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4: Biochemistry III

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5: Biochemistry IV

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6: Biochemistry V

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7: Biochemistry VI

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9: Molecular Biology I

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uk: Математика, природничі науки

description: This resource contains problems and their solutions based on Euprymna scolopes, squid facility, structures and molecules, protein, yeast metabolic pathway, true or false, common genetic condition, and hypothetical chromosomal region.

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uk: Математика, природничі науки

description:
This resource includes the following topics:
Population Age Distribution, Life Tables, Survivorship Curves, Density-Dependant Factors Regulate Population Size, and Human Population Growth.

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uk: Математика, природничі науки

description: This resource includes the discussion on various species of plants and animals.

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uk: Математика, природничі науки

description: This resource includes a handout on ecology and biosphere distribution.

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uk: Математика, природничі науки

description:
Following are the outcomes of this resource:
There is more than one way to be alive-energy and carbon and electrons, Microbes have most of the metabolic diversity available, Products of one organism are the substrate for another, and Where metabolic pathway is energetically favorable, a microbe has evolved to take advantage of it.

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uk: Математика, природничі науки

description:
This resource incldues the following topics:
Analysis of global productivity, Energy flow through trophic levels and ecosystems, and Three weeks in the life of a food web.

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uk: Математика, природничі науки

description:
This resource includes the following topics:
Land-water, sunlight, and nutrients, Ocean-sunlight, and nutrients, Biosynthesis and nutrient regeneration along gradients, upwelling in ocean critical, and Redfield ratio.

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uk: Математика, природничі науки

description:
This resource includes the following topics:
Global Nutrient Cycling, Solar Energy Budget, The Geologic Cycle, The Global Water Cycle, Global Nitrogen-Transformations, The Global Nitrogen Cycle, and The Global Carbon Cycle.

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uk: Математика, природничі науки

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uk: Математика, природничі науки

description: This resource contains 4 questions to test students understanding.

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uk: Математика, природничі науки

description: This resource contains questions on letmegothruin, time machine, protein, describe energy diagram and their solutions.

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uk: Математика, природничі науки

description: This resource contains solutions file of Quiz 1.

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uk: Математика, природничі науки

description: This resource contains solutions based on origin of replication, sevenohwunforin, enzymes and mutant.

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uk: Математика, природничі науки

description: This resource contains questions and solutions based on origin of replication, sevenohwunforin, enzymes and mutant.

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uk: Математика, природничі науки

description: This resource contains problems and  solutions on portion, agrobacterium tumefaciens, ecosystem, cyanobacteria, genetics and human pedigrees.

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uk: Математика, природничі науки

description: This resource contains solutions based on portion, agrobacterium tumefaciens, ecosystem, cyanobacteria, genetics and human pedigrees.

uk: вхід без авторизації


Introductory Biology

keywords:
Science
Health and Medicine
Biology
Genetics
Molecular Biology
Biochemistry
Microbiology
Virology
Cancer
Functional Genomics
Cell Biology

name: 7.016 Introductory Biology: Exam 1 Solutions

name: 7.016 Introductory Biology: Exam 2 Solutions

name: 7.016 Introductory Biology: Exam 3 Solutions

name: Lecture 1: Welcome; Introduction and Course Organization

name: Lecture 11:Cells, The Simplest Functional Units

name: Lecture 12: Genetics 1—Cell Division and Segregating Genetic Material

name: Lecture 13: Genetics 2—Rules of Inheritance

name: Lecture 14: Genetics 3—Linkage, Crossing Over

name: Lecture 15: Genetics 4—The Power of Model Organisms in Biological Discovery

name: Lecture 16: Recombinant DNA, Cloning, & Editing

name: Lecture 19: Cell Trafficking and Protein Localization

name: Lecture 2: Chemical Bonding and Molecular Interactions; Lipids and Membranes

name: Lecture 22: Neurons, Action Potential, and Optogenetics

name: Lecture 24: Stem Cells, Apoptosis, and Tissue Homeostasis

name: Lecture 27: Visualizing Life—Dyes and Stains

name: Lecture 28: Visualizing Life—Fluorescent Proteins

name: Lecture 3: Structures of Amino Acids, Peptides and Proteins

name: Lecture 30: Immunology 1—Diversity, Specificity, and B Cells

name: Lecture 31: Immunology 2—Memory, T Cells, and Autoimmunity

name: Lecture 32: Infectious Disease, Viruses, and Bacteria

name: Lecture 33: Bacteria and Antibiotic Resistance

name: Lecture 34: Viruses and Anti-viral Resistance

name: Lecture 35: Reproductive Cloning and Embryonic Stem Cells

name: Lecture 5: Carbohydrates and Glycoproteins

name: Lecture 9: Chromatin Remodeling and Splicing

uk: Медицина / Науки про здоров'я

uk: Математика, природничі науки

description:
_7.016 Introductory Biology_ provides an introduction to fundamental principles of biochemistry, molecular biology, and genetics for understanding the functions of living systems. Taught for the first time in Fall 2013, this course covers examples of the use of chemical biology and twenty-first-century molecular genetics in understanding human health and therapeutic intervention.

The MIT Biology Department Introductory Biology courses [7.012](/courses/7-012-introduction-to-biology-fall-2004/), [7.013](/courses/7-013-introductory-biology-spring-2013/), [7.014](/courses/7-014-introductory-biology-spring-2005/), 7.015, and [7.016](/courses/7-016-introductory-biology-fall-2018) all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. Biological function at the molecular level is particularly emphasized and covers the structure and regulation of genes, as well as the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into multicellular systems and organisms. In addition, each version of the subject has its own distinctive material.

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uk: Медицина / Науки про здоров'я

uk: Математика, природничі науки

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name: Lecture 1: Welcome; Introduction and Course Organization


Lecture 10: Translation

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name: Lecture 11:Cells, The Simplest Functional Units


uk: Медицина / Науки про здоров'я

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name: Lecture 12: Genetics 1—Cell Division and Segregating Genetic Material


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name: Lecture 13: Genetics 2—Rules of Inheritance


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name: Lecture 14: Genetics 3—Linkage, Crossing Over


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name: Lecture 15: Genetics 4—The Power of Model Organisms in Biological Discovery


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name: Lecture 16: Recombinant DNA, Cloning, & Editing


Lecture 17: Genomes and DNA Sequencing

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Lecture 18: SNPs and Human Genetics

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uk: Математика, природничі науки

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name: Lecture 19: Cell Trafficking and Protein Localization


uk: Медицина / Науки про здоров'я

uk: Математика, природничі науки

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name: Lecture 2: Chemical Bonding and Molecular Interactions; Lipids and Membranes


Lecture 20: Cell Signaling 1—Overview

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Lecture 21: Cell Signaling 2—Examples

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name: Lecture 22: Neurons, Action Potential, and Optogenetics


Lecture 23: Cell Cycle and Checkpoints

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name: Lecture 24: Stem Cells, Apoptosis, and Tissue Homeostasis


Lecture 25: Cancer 1

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Lecture 26: Cancer 2

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name: Lecture 27: Visualizing Life—Dyes and Stains


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name: Lecture 28: Visualizing Life—Fluorescent Proteins


Lecture 29: Cell Imaging Techniques

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name: Lecture 3: Structures of Amino Acids, Peptides and Proteins


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name: Lecture 30: Immunology 1—Diversity, Specificity, and B Cells


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name: Lecture 31: Immunology 2—Memory, T Cells, and Autoimmunity


uk: Медицина / Науки про здоров'я

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name: Lecture 32: Infectious Disease, Viruses, and Bacteria


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name: Lecture 33: Bacteria and Antibiotic Resistance


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name: Lecture 34: Viruses and Anti-viral Resistance


uk: Медицина / Науки про здоров'я

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name: Lecture 35: Reproductive Cloning and Embryonic Stem Cells


Lecture 4: Enzymes and Metabolism

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name: Lecture 5: Carbohydrates and Glycoproteins


Lecture 6: Nucleic Acids

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Lecture 7: Replication

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Lecture 8: Transcription

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name: Lecture 9: Chromatin Remodeling and Splicing


7.016 Introductory Biology: Exam 1

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name: 7.016 Introductory Biology: Exam 1 Solutions


7.016 Introductory Biology: Exam 2

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name: 7.016 Introductory Biology: Exam 2 Solutions


7.016 Introductory Biology: Exam 3

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name: 7.016 Introductory Biology: Exam 3 Solutions


Fundamentals of Biology

name: Transcription and translation, Excerpt 1

name: Transcription and translation, Excerpt 2

name: Types of Organisms, Cell Composition, Excerpt 1

name: Types of Organisms, Cell Composition, Excerpt 2

name: Agarose Gel Electrophoresis, DNA Sequencing, PCR, Excerpt 1

name: Agarose Gel Electrophoresis, DNA Sequencing, PCR, Excerpt 2

name: Alternative Approaches to Molecular Biology

name: Constructing and Screening a Recombinant DNA Library

name: DNA Structure and Classic experiments, Excerpt 1

name: DNA Structure and Classic experiments, Excerpt 2

name: Glycolysis, Respiration, and Fermentation

name: Macromolecules: Lipids, Carbohydrates, Nucleic Acid, Excerpt 1

name: Macromolecules: Lipids, Carbohydrates, Nucleic Acid, Excerpt 2

name: Proteins, Levels of Structure, Non-Covalent Forces, Excerpt 1

name: Proteins, Levels of Structure, Non-Covalent Forces, Excerpt 2

uk: Математика, природничі науки

description:
_Fundamentals of Biology_ focuses on the basic principles of biochemistry, molecular biology, genetics, and recombinant DNA. These principles are necessary to understanding the basic mechanisms of life and anchor the biological knowledge that is required to understand many of the challenges in everyday life, from human health and disease to loss of biodiversity and environmental quality.
##### Course Format

* * *

[![Click to get started.](/images/button_start.png)](pages/syllabus) This course has been designed for independent study. It consists of four units, one for each topic. The units can be used individually or in combination. The materials for each unit include:

*   **Lecture Videos** by MIT faculty.
*   Learning activities, including **Interactive Concept Quizzes**, designed to reinforce main concepts from lectures.
*   **Problem Sets** you do on your own and check your answers against the **Solutions** when you're done.
*   **Problem Solving Video** help sessions taught by experienced MIT Teaching Assistants.
*   Lists of important **Terms and Definitions.**
*   **Suggested Topics and Links** for further study.
*   **Exams** with **Solution Keys.**

##### Content Development

* * *

Eric Lander
Robert Weinberg
Tyler Jacks
Hazel Sive

Graham Walker
Sallie Chisholm
Dr. Michelle Mischke

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uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

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uk: Математика, природничі науки

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Basic Mechanisms of Cloning, Excerpt 1

uk: Математика, природничі науки

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Basic Mechanisms of Cloning, Excerpt 2

uk: Математика, природничі науки

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Basic Mechanisms of Cloning, Excerpt 3

uk: Математика, природничі науки

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Biochemical Reactions, Enzymes, and ATP

uk: Математика, природничі науки

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cDNA Libraries and Expression Libraries

uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

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Covalent Bonds, Hydrogen Bonds

uk: Математика, природничі науки

uk: вхід без авторизації


Covalent Bonds

uk: Математика, природничі науки

uk: вхід без авторизації


DNA Replication

uk: Математика, природничі науки

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uk: Математика, природничі науки

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uk: Математика, природничі науки

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uk: Математика, природничі науки

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Linkage and Recombination, Genetic maps

uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

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Mendel's Laws, Excerpt 1

uk: Математика, природничі науки

uk: вхід без авторизації


Mendel's Laws, Excerpt 2

uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource contains problem set related to exam 1.

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uk: Математика, природничі науки

description: This resource contains problem set for exam 2 related to molecular biology.

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uk: Математика, природничі науки

description: This resource contains problem set related to recombinant DNA.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource contains problem statements for exam 3 related to genetics.

uk: вхід без авторизації


Overview of Recombinant DNA, Excerpt 1

uk: Математика, природничі науки

uk: вхід без авторизації


Overview of Recombinant DNA, Excerpt 2

uk: Математика, природничі науки

uk: вхід без авторизації


Photosynthesis

uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

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uk: Математика, природничі науки

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uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

uk: вхід без авторизації


keywords:
Science
Humanities
Literature
Biology
Academic Writing

de: Geisteswissenschaften

uk: Гуманітарні науки

en: Humanities

uk: Математика, природничі науки

description: This course is the scientific communications portion of course 7.02, Experimental Biology and Communication. Students develop their skills as writers of scientific research, skills that also contribute to the learning of the 7.02 course materials. Through in class and out of class writing exercises, students explore the genre of the research article and its components while developing an understanding of the materials covered in the 7.02 laboratory.

uk: вхід без авторизації

name: Experimental Biology - Communications Intensive


Genetics

de: Biologie

en: Biology

uk: Математика, природничі науки

description: This course discusses the principles of genetics with application to the study of biological function at the level of molecules, cells, and multicellular organisms, including humans. The topics include: structure and function of genes, chromosomes and genomes, biological variation resulting from recombination, mutation, and selection, population genetics, use of genetic methods to analyze protein function, gene regulation and inherited disease.

uk: вхід без авторизації


uk: Математика, природничі науки

description: Exam problems.

uk: вхід без авторизації


General Biochemistry

keywords:
Science
Chemistry
Biology
Organic Chemistry
Biochemistry
Analytical Chemistry
Physical Chemistry

name: Lecture 19: Introduction to Metabolism/Polysaccharides/Bioenergetics/Intro Pathways

name: Lecture 12: Carbohydrates/Introduction to Membranes

name: Lecture 24: Lipids and Fatty Acid Oxidation

name: Lecture 26: Oxidative Phosphorylation/Photosynthesis I

name: Lecture 27: Photosynthesis II/CO2 Assimilation

name: Lecture 20: Bioenergetics/Intro Pathways/Glycolysis I

name: Lecture 22: Glucogenesis/Carbohydrate Storage/TCA Cycle I

name: Lecture 30: Nitrogen/Amino Acid Metabolism I

uk: Математика, природничі науки

description:
This course focuses on contributions of biochemistry toward an understanding of the structure and functioning of organisms, tissues, and cells. Topics include:

*   Chemistry and functions of constituents of cells and tissues and the chemical and physical-chemical basis for the structures of nucleic acids, proteins, and carbohydrates.
*   Basic enzymology and biochemical reaction mechanisms involved in macromolecular synthesis and degradation, signaling, transport, and movement.
*   General metabolism of carbohydrates, fats, and nitrogen-containing materials such as amino acids, proteins, and related compounds.

NOTE: The first half of this course, taught by Prof. Yaffe, is available on the MITx platform as _[7.05x Biochemistry: Biomolecules, Methods, and Mechanisms](https://www.edx.org/course/biochemistry-biomolecules-methods-and-mechanisms?utm_source=mitopenlearning-mit-open-learning&utm_medium=affiliate_partner)_. This OCW website provides content primarily from the second half with Prof. Vander Heiden, which focuses on metabolism.

uk: вхід без авторизації


uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 21: Glycolysis II/Regulation

uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 23: TCA Cycle II

uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 25: Oxidative Phosphorylation

uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

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Lecture 28: Pentose Phosphate Pathway

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 29: Lipid Synthesis

uk: Математика, природничі науки

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uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 31: Amino Acid Metabolism II

uk: Математика, природничі науки

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Lecture 32: Nucleotide Metabolism

uk: Математика, природничі науки

uk: вхід без авторизації


7.05 S20 Exam 3

uk: Математика, природничі науки

uk: вхід без авторизації


7.05 S20 Exam 4

uk: Математика, природничі науки

uk: вхід без авторизації


Experimental Microbial Genetics

keywords: Science Biology Genetics Microbiology

uk: Математика, природничі науки

description:
In this class, students engage in independent research projects to probe various aspects of the physiology of the bacterium _Pseudomonas aeruginosa_ PA14, an opportunistic pathogen isolated from the lungs of cystic fibrosis patients. Students use molecular genetics to examine survival in stationary phase, antibiotic resistance, phase variation, toxin production, and secondary metabolite production.

Projects aim to discover the molecular basis for these processes using both classical and cutting-edge techniques. These include plasmid manipulation, genetic complementation, mutagenesis, PCR, DNA sequencing, enzyme assays, and gene expression studies. Instruction and practice in written and oral communication are also emphasized.

**WARNING NOTICE**

The experiments described in these materials are potentially hazardous and require 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


Experimental Molecular Genetics

keywords:
Science
Humanities
Literature
Biology
Genetics
Molecular Biology
Biochemistry
Academic Writing
Cell Biology

uk: Гуманітарні науки

uk: Математика, природничі науки

description:
This project-based laboratory course provides students with in-depth experience in experimental molecular genetics, using modern methods of molecular biology and genetics to conduct original research. The course is geared towards students (including sophomores) who have a strong interest in a future career in biomedical research. This semester will focus on chemical genetics using _Caenorhabditis elegans_ as a model system. Students will gain experience in research rationale and methods, as well as training in the planning, execution, and communication of experimental biology.

**WARNING NOTICE**

The experiments described in these materials are potentially hazardous and require 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


keywords:
Engineering
Science
Biological Engineering
Biology
Molecular Biology
Biotechnology

de: Biotechnologie

uk: Біотехнологія

en: Biotechnology

uk: Математика, природничі науки

description: The course applies molecular biology and reverse genetics approaches to the study of apoptosis, or programmed cell death (PCD), in Drosophila cells. RNA interference (RNAi), or double stranded RNA-mediated gene silencing, will be used to inhibit expression of candidate apoptosis-related genes in cultured Drosophila cells. Teams of 2 or 3 students will design and carry out experiments to address questions about the genes involved in the regulation and execution of PCD in this system. Some projects involve the use of DNA damaging agents or other cytotoxic chemicals or drugs to help understand the pathways that control a cell's decision to undergo apoptosis. Instruction and practice in written and oral communication are provided.

uk: вхід без авторизації

name: Experimental Molecular Biology: Biotechnology II


Topics in Experimental Biology

uk: Математика, природничі науки

description:
This independent experimental study course is designed to allow students with a strong interest in independent research to fulfill the project laboratory requirement for the Biology Department Program in the context of a research laboratory at MIT. The research should be a continuation of a previous project under the direction of a member of the Biology Department faculty.

This course provides instruction and practice in written and oral communication. Journal club discussions are used to help students evaluate and write scientific papers.

uk: вхід без авторизації


Developmental Biology

keywords:
Science
Biology
Developmental Biology

uk: Математика, природничі науки

description: This graduate and advanced undergraduate level lecture and literature discussion course covers the current understanding of the molecular mechanisms that regulate animal development. Evolutionary mechanisms are emphasized as well as the discussion of relevant diseases. Vertebrate (mouse, chick, frog, fish) and invertebrate (fly, worm) models are covered. Specific topics include formation of early body plan, cell type determination, organogenesis, morphogenesis, stem cells, cloning, and issues in human development.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource includes the answers of the questions asked in exam 1 on developing worms, fate mapping, and induction.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource includes key to exam 1, which includes the observation, task, and protien X.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource includes three questions along with the observations and task to solved by the students on NeuroD, ?transplant? experiments, and delta protein.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource includes three study questions from MCP for Exam II on cortical layers, cerebral cortex, and Xenopus embryos to retinoic acid (RA).

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource includes information on nuclear receptor dimer, gastrula stage, ectoderm, and ethyl nitrosourea.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource includes problems on retinoic acid, gastrula stage, and ethyl nitrosourea.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource includes problems to the questions asked in MCP file on cerebral cortex of the tasmanian devil.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource includes problems on gene expression patterns, and situ hybridization.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource includes answers of the problems asked in final exam on gene expression patterns, and situ hybridization.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource includes answers to the problems on the term ?axis?, homolog, paralog, and ortholog.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource includes problems on UV irradiation, ?antisense? techniques, and concepts of ?determination? and ?differentiation?.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource includes problems to the questions asked in self quiz on UV irradiation, ?antisense? techniques, and concepts of ?determination? and ?differentiation?.

uk: вхід без авторизації


Principles of Human Disease

keywords:
Health and Medicine
Pathology and Pathophysiology
Cancer

uk: Медицина / Науки про здоров'я

description: This course covers current understanding of, and modern approaches to human disease, emphasizing the molecular and cellular basis of both genetic disease and cancer. Topics include: The Genetics of Simple and Complex Traits; Karyotypic Analysis and Positional Cloning; Genetic Diagnosis; The Roles of Oncogenes and Tumor Suppressors in Tumor Initiation, Progression, and Treatment; The Interaction between Genetics and Environment; Animal Models of Human Disease; Cancer; and Conventional and Gene Therapy Treatment Strategies.

uk: вхід без авторизації


Cellular Neurobiology

keywords:
Science
Biology
Cognitive Science
Neurobiology
Neuroscience

name: Cellular Neurobiology Answers to 2009 Midterm

name: Cellular Neurobiology Answers to 2010 Midterm

name: Cellular Neurobiology Answers to 2011 Midterm

name: Cellular Neurobiology Answers to 2012 Midterm

de: Psychologie

en: Psychology

uk: Математика, природничі науки

de: Rechts-, Wirtschafts- und Sozialwissenschaften

uk: Право, економіка та суспільні науки

en: Law, Economics and Social Sciences

description: This course serves as an introduction to the structure and function of the nervous system. Emphasis is placed on the cellular properties of neurons and other excitable cells. Topics covered include the structure and biophysical properties of excitable cells, synaptic transmission, neurochemistry, neurodevelopment, and the integration of information in simple systems and the visual system.

uk: вхід без авторизації


Cellular Neurobiology Midterm 2009

de: Mathematik, Naturwissenschaften

uk: Математика, природничі науки

en: Mathematics, Natural Sciences

uk: Право, економіка та суспільні науки

description: This resource contains information regarding cellular neurobiology midterm 2009

uk: вхід без авторизації


uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: This resource contains information regarding cellular neurobiology answers to 2009 midterm

uk: вхід без авторизації

de: Übung

en: Drill and Practice


Cellular Neurobiology Midterm 2010

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: This resource contains information regarding cellular neurobiology midterm 2010

uk: вхід без авторизації


uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: This resource contains information regarding cellular neurobiology answers to 2010 midterm

uk: вхід без авторизації


Cellular Neurobiology Midterm 2011

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: This resource contains information regarding cellular neurobiology midterm 2011

uk: вхід без авторизації


uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: This resource contains information regarding cellular neurobiology answers to 2011 midterm

uk: вхід без авторизації


Cellular Neurobiology Midterm 2012

uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: This resource contains information regarding cellular neurobiology midterm 2012

uk: вхід без авторизації


uk: Математика, природничі науки

uk: Право, економіка та суспільні науки

description: This resource contains information regarding cellular neurobiology answers to 2012 midterm

uk: вхід без авторизації


keywords:
Engineering
Science
Biological Engineering
Health and Medicine
Biology
Cancer
Immunology
Cell Biology
Cell and Tissue Engineering
Biomaterials

uk: Біотехнологія

uk: Медицина / Науки про здоров'я

uk: Математика, природничі науки

description:
Students will learn about the use of biomaterials to create advanced diagnostic tools for detection of infectious and chronic diseases, restore insulin production to supplement lost pancreatic function in diabetes, provide cells with appropriate physical, mechanical, and biochemical cues to direct tissue regeneration, and enhance the efficacy of cancer immunotherapy.

This course is one of many [Advanced Undergraduate Seminars](https://biology.mit.edu/undergraduate/current-students/subject-offerings/advanced-undergraduate-seminars/) offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive setting. Many instructors of the Advanced Undergraduate Seminars are postdoctoral scientists with a strong interest in teaching.

uk: вхід без авторизації

name: Biomaterials and Devices for Disease Diagnosis and Therapy


keywords:
Engineering
Science
Biological Engineering
Biology
Genetics
Molecular Biology
Biotechnology

uk: Біотехнологія

uk: Математика, природничі науки

description:
This course will explore the current frontiers of the world of RNA biology with primary research papers to trace how the original odd detail sometimes leads to major discoveries. As we discuss the different transcripts and processing events that enable this exciting diversity of RNA functions, we invite you to read landmark papers with us, think critically, and ask new questions, as we marvel at the wonders of RNA.

This course is one of many [Advanced Undergraduate Seminars](https://biology.mit.edu/undergraduate/current-students/subject-offerings/advanced-undergraduate-seminars/) offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive setting. Many instructors of the Advanced Undergraduate Seminars are postdoctoral scientists with a strong interest in teaching.

uk: вхід без авторизації

name: DNA's Sister Does All the Work: The Central Roles of RNA in Gene Expression


keywords:
Science
Health and Medicine
Biology
Genetics
Biochemistry
Microbiology
Immunology
Cell Biology

uk: Медицина / Науки про здоров'я

uk: Математика, природничі науки

description:
How can a tick bite cause a meat allergy? And does cranberry juice do anything to help cure a urinary tract infection? To answer these and other questions, we are going to take a dive into the molecular world of microbes. In this class, we will use the primary research literature to explore the molecular interactions between pathogens and their hosts that allow microbes to cause infectious diseases. We will examine the factors that pathogens use to colonize a host and how the host response can impact the outcome of the infection. By the end of the class, students will have both developed critical scientific skills in evaluating scientific literature and an appreciation of the microbes influencing our lives and health every day.

This course is one of many [Advanced Undergraduate Seminars](https://biology.mit.edu/undergraduate/current-students/subject-offerings/advanced-undergraduate-seminars/) offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive setting. Many instructors of the Advanced Undergraduate Seminars are postdoctoral scientists with a strong interest in teaching.

uk: вхід без авторизації

name: Microbes at War: The Mechanisms That Drive Infectious Diseases


keywords:
Engineering
Science
Biological Engineering
Health and Medicine
Biomedicine
Biology
Molecular Biology
Microbiology
Biotechnology
Cell Biology
Synthetic Biology

de: Biomedizin

uk: Біомедицина

en: Biomedicine

uk: Медицина / Науки про здоров'я

uk: Біотехнологія

uk: Математика, природничі науки

description:
There are more microbes permanently living in our gut than there are cells in the human body. This rich community of bacteria, fungi and viruses, called the microbiome, plays a central role in human health and disease. Recent research has linked this passenger community to nutrition, circadian rhythms, infectious disease, inflammatory disease, cancer, diabetes, arthritis and even immune system and nervous system development. How can we analyze such a complex system? Can we exploit the microbiome to improve human health? Can interactions with microbes be harnessed for drug delivery?

In this course, we will learn to critically assess the primary scientific literature to find answers to these questions and learn to distinguish between correlation and causality. We will learn how mechanistic insights and emerging tools, such as synthetic biology and microfluidics, together are transforming microbiome research, and might lead to new types of therapeutics and drug delivery for improving human health.

This course is one of many [Advanced Undergraduate Seminars](https://biology.mit.edu/undergraduate/current-students/subject-offerings/advanced-undergraduate-seminars/) offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive setting. Many instructors of the Advanced Undergraduate Seminars are postdoctoral scientists with a strong interest in teaching.

uk: вхід без авторизації

name: The Microbiome and Drug Delivery: Cross-species Communication in Health and Disease