Online образование — различия между версиями
Материал из Department of Theoretical and Applied Mechanics
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| + | [[Кафедра ТМ]] > [[Интересные ссылки]] > [[Online образование]]<HR> | ||
| + | == Links == | ||
| + | * [http://dl.spbstu.ru Портал дистанционных образовательных технологий СПбГПУ] | ||
| + | |||
| + | == 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 == | ||
| + | === Programming === | ||
| + | * [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]''' | ||
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== Audience == | == Audience == | ||
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| Веренинов Игорь | | Веренинов Игорь | ||
| − | | | + | |[http://jan2012.ml-class.org/ Machine Learning ] |
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| Dainis Dzenushko | | Dainis Dzenushko | ||
| − | | | + | | [http://jan2012.ml-class.org/ Machine Learning ] |
|- | |- | ||
| Kovalev Oleg | | Kovalev Oleg | ||
| − | | | + | | [http://www.algo-class.org/ Design and Analysis of Algorithms I] |
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| Краморов Данил | | Краморов Данил | ||
| − | | | + | | [http://www.cs101-class.org/ CS101 ] |
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| Пшенов Антон | | Пшенов Антон | ||
| − | | | + | | [http://www.algo-class.org/ Design and Analysis of Algorithms I] |
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| Симонов Роман | | Симонов Роман | ||
| − | | | + | | [http://see.stanford.edu/see/courseinfo.aspx?coll=348ca38a-3a6d-4052-937d-cb017338d7b1 Machine Learning] |
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| Степанов Алексей | | Степанов Алексей | ||
| − | | | + | | [http://www.algo-class.org/ Design and Analysis of Algorithms I] |
|- | |- | ||
| Фролова Ксения | | Фролова Ксения | ||
| − | | | + | | [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 образованиеLinks[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.
Online education[править]
Programming[править]
Stanford[править]
Computer Science[править]
- CS 101
- Machine Learning
- Software as a Service
- Human-Computer Interaction
- Natural Language Processing
- Game Theory
- Probabilistic Graphical Models
- Cryptography
- Design and Analysis of Algorithms I
- Computer Security
Entrepreneurship[править]
Medicine[править]
Civil Engineering[править]
Electrical Engr.[править]
Complex Systems[править]
Online lectures[править]
Academic Earth[править]
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
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- Test Preparation
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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]
Artificial Intelligence[править]
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]
- Programming Massively Parallel Processors CS193G
- iPhone Application Programming CS193P
- Seminars and Webinars
Khan Academy[править]
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 |
