Online образование — различия между версиями

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[[Кафедра ТМ]] > [[Интересные ссылки]] > [[Online образование]]<HR>
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== Links ==
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* [http://dl.spbstu.ru Портал дистанционных образовательных технологий СПбГПУ]
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== Coursera ==
 
[http://news.stanford.edu/news/2011/june/improved-online-courseware-062811.html Online lectures have some advantages over the traditional in-person instruction]:
 
[http://news.stanford.edu/news/2011/june/improved-online-courseware-062811.html Online lectures have some advantages over the traditional in-person instruction]:
 
* they allow students to control the pacing of a lecture – they can speed it up or instantly replay the material;
 
* they allow students to control the pacing of a lecture – they can speed it up or instantly replay the material;
 
* a large library of online classes could allow students to personalize their education, students could combine many different lecture chunks to create courses tailored to their interests and abilities;
 
* a large library of online classes could allow students to personalize their education, students could combine many different lecture chunks to create courses tailored to their interests and abilities;
 
* analytical programs built into the course-hosting system could allow faculty to monitor a course in real time, tracking student progress and adjusting their teaching techniques to maximize effectiveness throughout the quarter.
 
* analytical programs built into the course-hosting system could allow faculty to monitor a course in real time, tracking student progress and adjusting their teaching techniques to maximize effectiveness throughout the quarter.
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[[Файл:Lecturepod.jpg|thumb|right|Лектор в вашем мобильнике|200px]]
  
 
== Online education ==
 
== Online education ==
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=== Programming ===
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* [http://www.codecademy.com/learn CodeAcademy]
 
=== Stanford ===
 
=== Stanford ===
 
==== Computer Science ====
 
==== Computer Science ====
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=== Khan Academy ===
 
=== Khan Academy ===
 
'''[http://www.khanacademy.org/ KhanAcademy.org]'''
 
'''[http://www.khanacademy.org/ KhanAcademy.org]'''
==== Subjects ====
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Very HUGE playlist with:
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перше число 60 друге - у 3 рази менше за перше а третє - у 4 рази менше за друге Знайти третє число
*Math
 
*Science
 
*Humanities&Other
 
*Test preparing
 
*Talks and Interviews
 
  
 
== Audience ==
 
== Audience ==
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| Веренинов Игорь
 
| Веренинов Игорь
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|[http://jan2012.ml-class.org/ Machine Learning ]
 
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| Dainis Dzenushko
 
| Dainis Dzenushko
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| Краморов Данил
 
| Краморов Данил
 
| [http://www.cs101-class.org/ CS101 ]
 
| [http://www.cs101-class.org/ CS101 ]
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| Прихожаев Дмитрий
 
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| Пшенов Антон
 
| Пшенов Антон
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| [http://www.algo-class.org/ Design and Analysis of Algorithms I]
 
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| Симонов Роман
 
| Симонов Роман
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| [http://see.stanford.edu/see/courseinfo.aspx?coll=348ca38a-3a6d-4052-937d-cb017338d7b1 Machine Learning]
 
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| Степанов Алексей
 
| Степанов Алексей
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|-
 
|-
 
| Фролова Ксения
 
| Фролова Ксения
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| [http://www.game-theory-class.org/ Game Theory]
 
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[[Category: Интересные ссылки]]

Текущая версия на 22:02, 28 апреля 2017

Кафедра ТМ > Интересные ссылки > Online образование

Links[править]

Coursera[править]

Online lectures have some advantages over the traditional in-person instruction:

  • they allow students to control the pacing of a lecture – they can speed it up or instantly replay the material;
  • a large library of online classes could allow students to personalize their education, students could combine many different lecture chunks to create courses tailored to their interests and abilities;
  • analytical programs built into the course-hosting system could allow faculty to monitor a course in real time, tracking student progress and adjusting their teaching techniques to maximize effectiveness throughout the quarter.
Лектор в вашем мобильнике

Online education[править]

Programming[править]

Stanford[править]

Computer Science[править]

Entrepreneurship[править]

Medicine[править]

Civil Engineering[править]

Electrical Engr.[править]

Complex Systems[править]

Online lectures[править]

Academic Earth[править]

AcademicEarth.org

Subjects[править]

  • Art & Architecture
  • Astronomy
  • Biology
  • Business
  • Chemistry
  • Computer Science
  • Economics
  • Education
  • Electrical Engineering
  • Engineering (Except Electrical)
  • Entrepreneurship
  • Environmental Studies
  • History
  • International Relations
  • Law
  • Literature
  • Mathematics
  • Media Studies
  • Medicine & Healthcare
  • Online Bachelor's Degrees
  • Online Courses for Credit
  • Online Master's Degrees
  • Online Professional Certificates
  • Philosophy
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  • Psychology
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  • Test Preparation
  • Writing

Universities[править]

  • Berkeley
  • Columbia
  • Harvard
  • Khan Academy
  • Maryland
  • Michigan
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  • Norwich
  • NYU
  • Princeton
  • Stanford
  • UCLA
  • UNSW
  • USC
  • Yale

Stanford[править]

YouTube channel of Stanford

Stanford Engineering Everywhere (SEE) programming includes one of Stanford’s most popular engineering sequences: the three-course Introduction to Computer Science taken by the majority of Stanford undergraduates, and seven more advanced courses in artificial intelligence and electrical engineering.

Subjects[править]

Introduction to Computer Science[править]
  • Programming Methodology CS106A
  • Programming Abstractions CS106B
  • Programming Paradigms CS107
Artificial Intelligence[править]
  • Introduction to Robotics CS223A
  • Natural Language Processing CS224N
  • Machine Learning CS229
Linear Systems and Optimization[править]
  • The Fourier Transform and its Applications EE261
  • Introduction to Linear Dynamical Systems EE263
  • Convex Optimization I EE364A
  • Convex Optimization II EE364B
Additional School of Engineering Courses[править]

Khan Academy[править]

KhanAcademy.org

перше число 60 друге - у 3 рази менше за перше а третє - у 4 рази менше за друге Знайти третє число

Audience[править]

Group 20510/1
Audience Course
Веренинов Игорь Machine Learning
Dainis Dzenushko Machine Learning
Kovalev Oleg Design and Analysis of Algorithms I
Краморов Данил CS101
Пшенов Антон Design and Analysis of Algorithms I
Симонов Роман Machine Learning
Степанов Алексей Design and Analysis of Algorithms I
Фролова Ксения Game Theory