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;
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* 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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== Academic Earth ==
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[[Файл:Lecturepod.jpg|thumb|right|Лектор в вашем мобильнике|200px]]
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== Online education ==
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=== Programming ===
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* [http://www.codecademy.com/learn CodeAcademy]
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=== Stanford ===
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==== Computer Science ====
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* [http://www.cs101-class.org/ CS 101]
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* [http://jan2012.ml-class.org/ Machine Learning]
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* [http://www.saas-class.org/ Software as a Service]
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* [http://www.hci-class.org/ Human-Computer Interaction]
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* [http://www.nlp-class.org/ Natural Language Processing]
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* [http://www.game-theory-class.org/ Game Theory]
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* [http://www.pgm-class.org/ Probabilistic Graphical Models]
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* [http://www.crypto-class.org/ Cryptography]
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* [http://www.algo-class.org/ Design and Analysis of Algorithms I]
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* [http://www.security-class.org/ Computer Security]
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==== Entrepreneurship ====
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* [http://www.launchpad-class.org/ Lean Launchpad]
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* [http://www.venture-class.org/ Technology Entrepreneurship]
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==== Medicine ====
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* [http://www.anatomy-class.org/ Anatomy]
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==== Civil Engineering ====
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* [http://www.greenbuilding-class.org/ Making Green Buildings]
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==== Electrical Engr. ====
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* [http://www.infotheory-class.org/ Information Theory]
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==== Complex Systems ====
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* [http://www.modelthinker-class.org/ Model Thinking]
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== Online lectures ==
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=== Academic Earth ===  
 
'''[http://academicearth.org/ AcademicEarth.org]'''
 
'''[http://academicearth.org/ AcademicEarth.org]'''
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===Subjects===
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==== Subjects====  
 
*Art & Architecture
 
*Art & Architecture
 
*Astronomy
 
*Astronomy
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*Writing
 
*Writing
  
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===Universities===
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==== Universities====  
 
*Berkeley
 
*Berkeley
 
*Columbia
 
*Columbia
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*Yale
 
*Yale
  
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== Stanford ==
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=== Stanford ===
 
'''[http://www.youtube.com/user/StanfordUniversity#g/p YouTube channel of Stanford]'''<br><br>
 
'''[http://www.youtube.com/user/StanfordUniversity#g/p YouTube channel of Stanford]'''<br><br>
 
[http://see.stanford.edu/see/courses.aspx 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.
 
[http://see.stanford.edu/see/courses.aspx 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.
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===Subjects===
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==== Subjects====  
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====Introduction to Computer Science====
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===== Introduction to Computer Science=====  
 
*Programming Methodology [http://see.stanford.edu/see/courseinfo.aspx?coll=824a47e1-135f-4508-a5aa-866adcae1111 CS106A]
 
*Programming Methodology [http://see.stanford.edu/see/courseinfo.aspx?coll=824a47e1-135f-4508-a5aa-866adcae1111 CS106A]
 
*Programming Abstractions [http://see.stanford.edu/see/courseinfo.aspx?coll=11f4f422-5670-4b4c-889c-008262e09e4e CS106B]
 
*Programming Abstractions [http://see.stanford.edu/see/courseinfo.aspx?coll=11f4f422-5670-4b4c-889c-008262e09e4e CS106B]
 
*Programming Paradigms [http://see.stanford.edu/see/courseinfo.aspx?coll=2d712634-2bf1-4b55-9a3a-ca9d470755ee CS107]
 
*Programming Paradigms [http://see.stanford.edu/see/courseinfo.aspx?coll=2d712634-2bf1-4b55-9a3a-ca9d470755ee CS107]
  
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====Artificial Intelligence====
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===== Artificial Intelligence=====  
 
*Introduction to Robotics [http://see.stanford.edu/see/courseinfo.aspx?coll=86cc8662-f6e4-43c3-a1be-b30d1d179743 CS223A]
 
*Introduction to Robotics [http://see.stanford.edu/see/courseinfo.aspx?coll=86cc8662-f6e4-43c3-a1be-b30d1d179743 CS223A]
 
*Natural Language Processing [http://see.stanford.edu/see/courseinfo.aspx?coll=63480b48-8819-4efd-8412-263f1a472f5a CS224N]
 
*Natural Language Processing [http://see.stanford.edu/see/courseinfo.aspx?coll=63480b48-8819-4efd-8412-263f1a472f5a CS224N]
 
*Machine Learning [http://see.stanford.edu/see/courseinfo.aspx?coll=348ca38a-3a6d-4052-937d-cb017338d7b1 CS229]
 
*Machine Learning [http://see.stanford.edu/see/courseinfo.aspx?coll=348ca38a-3a6d-4052-937d-cb017338d7b1 CS229]
  
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====Linear Systems and Optimization====
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===== Linear Systems and Optimization=====  
 
*The Fourier Transform and its Applications [http://see.stanford.edu/see/courseinfo.aspx?coll=84d174c2-d74f-493d-92ae-c3f45c0ee091 EE261]
 
*The Fourier Transform and its Applications [http://see.stanford.edu/see/courseinfo.aspx?coll=84d174c2-d74f-493d-92ae-c3f45c0ee091 EE261]
 
*Introduction to Linear Dynamical Systems [http://see.stanford.edu/see/courseinfo.aspx?coll=17005383-19c6-49ed-9497-2ba8bfcfe5f6 EE263]
 
*Introduction to Linear Dynamical Systems [http://see.stanford.edu/see/courseinfo.aspx?coll=17005383-19c6-49ed-9497-2ba8bfcfe5f6 EE263]
Строка 75: Строка 110:
 
*Convex Optimization II [http://see.stanford.edu/see/courseinfo.aspx?coll=523bbab2-dcc1-4b5a-b78f-4c9dc8c7cf7a EE364B]
 
*Convex Optimization II [http://see.stanford.edu/see/courseinfo.aspx?coll=523bbab2-dcc1-4b5a-b78f-4c9dc8c7cf7a EE364B]
  
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====Additional School of Engineering Courses====
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===== Additional School of Engineering Courses=====  
 
*Programming Massively Parallel Processors [http://deimos3.apple.com/WebObjects/Core.woa/Browse/itunes.stanford.edu.3692287061.03692287064 CS193G]
 
*Programming Massively Parallel Processors [http://deimos3.apple.com/WebObjects/Core.woa/Browse/itunes.stanford.edu.3692287061.03692287064 CS193G]
 
*iPhone Application Programming [http://deimos3.apple.com/WebObjects/Core.woa/Browse/itunes.stanford.edu.3124430053.03124430055 CS193P]
 
*iPhone Application Programming [http://deimos3.apple.com/WebObjects/Core.woa/Browse/itunes.stanford.edu.3124430053.03124430055 CS193P]
 
*[http://scpd.stanford.edu/coursesSeminars/seminarsAndWebinars.jsp Seminars and Webinars]
 
*[http://scpd.stanford.edu/coursesSeminars/seminarsAndWebinars.jsp Seminars and Webinars]
  
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== Khan Academy ==
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=== Khan Academy ===
 
'''[http://www.khanacademy.org/ KhanAcademy.org]'''
 
'''[http://www.khanacademy.org/ KhanAcademy.org]'''
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=== 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
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*Math
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*Science
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== Audience ==
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*Humanities&Other
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*Test preparing
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{| class="wikitable"
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*Talks and Interviews
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! colspan="2" | Group 20510/1
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|-
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! Audience
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! Course
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|-
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| Веренинов Игорь
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|[http://jan2012.ml-class.org/ Machine Learning ]
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|-
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| Dainis Dzenushko
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| [http://jan2012.ml-class.org/ Machine Learning ]
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|-
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| Kovalev Oleg
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| [http://www.algo-class.org/ Design and Analysis of Algorithms I]
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|-
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| Краморов Данил
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| [http://www.cs101-class.org/ CS101 ]
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|-
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| Пшенов Антон
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| [http://www.algo-class.org/ Design and Analysis of Algorithms I]
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|-
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| 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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|-
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| Степанов Алексей
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| [http://www.algo-class.org/ Design and Analysis of Algorithms I]
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|-
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| Фролова Ксения
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| [http://www.game-theory-class.org/ Game Theory]
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|-
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|}
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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
  • Physics
  • Political Science
  • Psychology
  • Religious Studies
  • Test Preparation
  • Writing

Universities[править]

  • Berkeley
  • Columbia
  • Harvard
  • Khan Academy
  • Maryland
  • Michigan
  • MIT
  • 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
Источник — «http://tm.spbstu.ru/?title=Online_образование&oldid=46663»