Online образование — различия между версиями

Материал из Department of Theoretical and Applied Mechanics
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| Краморов Данил
 
| Краморов Данил
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| [http://www.cs101-class.org/ CS101 ]
 
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| Прихожаев Дмитрий
 
| Прихожаев Дмитрий

Версия 19:00, 18 декабря 2011

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

Stanford

Computer Science

Entrepreneurship

Medicine

Civil Engineering

Electrical Engr.

Complex Systems

Online lectures

Academic Earth

AcademicEarth.org

Subjects

  • 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

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

Stanford

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

Introduction to Computer Science
  • Programming Methodology CS106A
  • Programming Abstractions CS106B
  • Programming Paradigms CS107
Artificial Intelligence
  • Introduction to Robotics CS223A
  • Natural Language Processing CS224N
  • Machine Learning CS229
Linear Systems and Optimization
  • 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

Khan Academy

KhanAcademy.org

Subjects

Very HUGE playlist with:

  • Math
  • Science
  • Humanities&Other
  • Test preparing
  • Talks and Interviews

Audience

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