Showing posts with label Lecture. Show all posts
Showing posts with label Lecture. Show all posts
Sunday, 13 January 2013
Japanese lecture video by Kamonoohashi : Let's get real Japanese communication "Greeting"
Japanese lecture video by Kamonoohashi : Let's get real Japanese communication "Greeting" Tube. Duration : 17.82 Mins.
Hello. I'm Kamonohahsi. I'm 24 years old , Japanese. Guys, Do you study Japanese? hm, and you are looking for good teacher? Hey I'm here!! From today I start new types of lecture it is "The phrase for real communication" This is first time and first theme is Greeting(あいさつ) Greeting...
Hello. I'm Kamonohahsi. I'm 24 years old , Japanese. Guys, Do you study Japanese? hm, and you are looking for good teacher? Hey I'm here!! From today I start new types of lecture it is "The phrase for real communication" This is first time and first theme is Greeting(あいさつ) Greeting...
Tuesday, 8 January 2013
Einstein's General Theory of Relativity | Lecture 1
Einstein's General Theory of Relativity | Lecture 1 Tube. Duration : 98.47 Mins.
Lecture 1 of Leonard Susskind's Modern Physics concentrating on General Relativity. Recorded September 22, 2008 at Stanford University. This Stanford Continuing Studies course is the fourth of a six-quarter sequence of classes exploring the essential theoretical foundations of modern physics. The topics covered in this course focus on classical mechanics. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University. Stanford Continuing Studies: continuingstudies.stanford.edu About Leonard Susskind: www.stanford.edu Stanford University Channel on YouTube: www.youtube.com
Lecture 1 of Leonard Susskind's Modern Physics concentrating on General Relativity. Recorded September 22, 2008 at Stanford University. This Stanford Continuing Studies course is the fourth of a six-quarter sequence of classes exploring the essential theoretical foundations of modern physics. The topics covered in this course focus on classical mechanics. Leonard Susskind is the Felix Bloch Professor of Physics at Stanford University. Stanford Continuing Studies: continuingstudies.stanford.edu About Leonard Susskind: www.stanford.edu Stanford University Channel on YouTube: www.youtube.com
Monday, 31 December 2012
Real Analysis, Lecture 1: Constructing the Rational Numbers
Real Analysis, Lecture 1: Constructing the Rational Numbers Video Clips. Duration : 62.10 Mins.
Real Analysis, Spring 2010, Harvey Mudd College, Professor Francis Su. Get notes and study tools at gosuapm.com
Real Analysis, Spring 2010, Harvey Mudd College, Professor Francis Su. Get notes and study tools at gosuapm.com
Sunday, 30 December 2012
Richard Feynman Computer Heuristics Lecture
Richard Feynman Computer Heuristics Lecture Video Clips. Duration : 75.78 Mins.
Richard Feynman, Winner of the 1965 Nobel Prize in Physics, gives us an insightful lecture about computer heuristics: how computers work, how they file information, how they handle data, how they use their information in allocated processing in a finite amount of time to solve problems and how they actually compute values of interest to human beings. These topics are essential in the study of what processes reduce the amount of work done in solving a particular problem in computers, giving them speeds of solving problems that can outmatch humans in certain fields but which have not yet reached the complexity of human driven intelligence. The question if human thought is a series of fixed processes that could be, in principle, imitated by a computer is a major theme of this lecture and, in Feynman's trademark style of teaching, gives us clear and yet very powerful answers for this field which has gone on to consume so much of our lives today. No doubt this lecture will be of crucial interest to anyone who has ever wondered about the process of human or machine thinking and if a synthesis between the two can be made without violating logic.
Richard Feynman, Winner of the 1965 Nobel Prize in Physics, gives us an insightful lecture about computer heuristics: how computers work, how they file information, how they handle data, how they use their information in allocated processing in a finite amount of time to solve problems and how they actually compute values of interest to human beings. These topics are essential in the study of what processes reduce the amount of work done in solving a particular problem in computers, giving them speeds of solving problems that can outmatch humans in certain fields but which have not yet reached the complexity of human driven intelligence. The question if human thought is a series of fixed processes that could be, in principle, imitated by a computer is a major theme of this lecture and, in Feynman's trademark style of teaching, gives us clear and yet very powerful answers for this field which has gone on to consume so much of our lives today. No doubt this lecture will be of crucial interest to anyone who has ever wondered about the process of human or machine thinking and if a synthesis between the two can be made without violating logic.
Thursday, 27 December 2012
The Greatest Treasure: Learn English with subtitles - Story for Children "BookBox.com"
The Greatest Treasure: Learn English with subtitles - Story for Children "BookBox.com" Tube. Duration : 5.78 Mins.
Peter stumbles upon a treasure map and sets out on a long adventure along with several animals. What will they find together? For more stories and more languages visit: www.bookbox.com Download the Free BookBox iPhone App in English: itunes.apple.com
Peter stumbles upon a treasure map and sets out on a long adventure along with several animals. What will they find together? For more stories and more languages visit: www.bookbox.com Download the Free BookBox iPhone App in English: itunes.apple.com
Tuesday, 25 December 2012
Learn Hindi: Lecture 1 (Introduction In Hindi)
Learn Hindi: Lecture 1 (Introduction In Hindi) Tube. Duration : 7.42 Mins.
By the end of this class you will learn to introduce yourself in Hindi. 1) Aapka naam kya hain? 1) Mera naam Ashu hain. 2) Aapka kahan se hain? 2) Mein USA se hoon. 3) Aap ki hobby (ruchi) kya hain? 3) Meri hobby teaching hain. 4) Aapka major kya hain? 4) Mera major Computer Science hain. 5) Aapki favorite movie kya hain? 5) meri favorite movie gladiator hain. 6) Aapki favorite book kya hain? 6) Meri favorite book 'Alchemist' hain. 7) Aapka favorite food kaun sa hain? 7) Mera favorite food Italian hain. 8) Aapka favorite city (shehar) kaun sa hain? 8) Mera favorite city peru hain.
By the end of this class you will learn to introduce yourself in Hindi. 1) Aapka naam kya hain? 1) Mera naam Ashu hain. 2) Aapka kahan se hain? 2) Mein USA se hoon. 3) Aap ki hobby (ruchi) kya hain? 3) Meri hobby teaching hain. 4) Aapka major kya hain? 4) Mera major Computer Science hain. 5) Aapki favorite movie kya hain? 5) meri favorite movie gladiator hain. 6) Aapki favorite book kya hain? 6) Meri favorite book 'Alchemist' hain. 7) Aapka favorite food kaun sa hain? 7) Mera favorite food Italian hain. 8) Aapka favorite city (shehar) kaun sa hain? 8) Mera favorite city peru hain.
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