Online образование — различия между версиями

Версия 17:19, 25 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

• 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

• Lean Launchpad
• Technology Entrepreneurship

Medicine

• Anatomy

Civil Engineering

• Making Green Buildings

Electrical Engr.

• Information Theory

Complex Systems

• Model Thinking

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

• Programming Massively Parallel Processors CS193G
• iPhone Application Programming CS193P
• Seminars and Webinars

Khan Academy

KhanAcademy.org

Subjects

Very HUGE playlist with:

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

Audience