Online образование
Материал из Department of Theoretical and Applied Mechanics
Версия от 18:39, 15 января 2012; 89.178.202.30 (обсуждение)
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.
Содержание
Online education
Stanford
Computer Science
- 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
Medicine
Civil Engineering
Electrical Engr.
Complex Systems
Online lectures
Academic Earth
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
Artificial Intelligence
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
- Programming Massively Parallel Processors CS193G
- iPhone Application Programming CS193P
- Seminars and Webinars
Khan Academy
Subjects
Very HUGE playlist with:
- Math
- Science
- Humanities&Other
- Test preparing
- Talks and Interviews
Audience
| 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 |
