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source: UCBerkeley Last updated on 2015年5月11日
Biology 1B, 001 - Spring 2015
Creative Commons 3.0: Attribution-NonCommercial-NoDerivs
2015-01-21: Introduction / Fungi 50:32
2015-01-23: Algae, Mosses, Lower Vascular Plants 49:26
2015-01-26: Ferns and Gymnosperms 50:37
2015-01-28: Angiosperms 50:27
2015-01-30: Angiosperms 46:42
2015-02-02: Cells, Tissues 50:18
2015-02-04: Roots, Structure and Development 50:58
2015-02-06: Shoots, Primary Structure 49:03
2015-02-09: Shoots, Secondary Structure 48:44
2015-02-11: Plant Growth Substances 1 51:00
2015-02-13: Plant Growth Substances 2 51:17
2015-02-18: Flowering 49:33
2015-02-20: Water Relations 49:41
2015-02-23: Water Relations, Mineral Nutrition, Fruit Development 48:17
2015-02-25 | Evolution 1: Evolutionary History 48:54
2015-02-27| Evolution 2: Explanatory Power of Evolutionary Theory 49:02
2015-03-02 | Evolution 3: Molecular Basis of Evolution 50:25
2015-03-04 | Evolution 4: Natural Selection 49:39
2015-03-06 | Evolution 5: Speciation 52:48
2015-03-09 | Evolution 6: Phylogenetic Systematics 48:46
2015-03-11 | Evolution 7: Cladistic Applications 46:07
2015-03-13 | Evolution 8: Fossil Record 46:44
2015-03-16 | Evolution 9: Evolutionary Pattern & Process 46:24
2015-03-18 | Evolution 10: Macroevolution 48:32
2015-03-20 | Evolution 11: Vertebrate Evolution 42:54
2015-03-30 | Evolution 12: Rise of the Hominins 48:42
2015-04-01 | Evolution 13: Conclusions & Review 48:55
2015-04-03: Ecology 47:54
2015-04-06: Biogeography 50:12
2015-04-08: Populations in space and time 50:43
2015-04-10: Limits to growth and life histories 49:38
2015-04-13: Managing populations 50:04
2015-04-15: Communities and niches 50:29
2015-04-17: Interactions and consequences 49:36
2015-04-20: Communities in space and time 48:12
2015-04-22: Food webs 49:15
2015-04-24: Biodiversity science 50:18
2015-04-27: Ecosystem processes 50:33
2015-04-29: Ecosystem processes 47:07
2015-05-01: Global change biology 50:57
2015-05-04 50:11
2015-05-06 55:01
2015-05-08 53:34
2015-08-03
How to grow a bone - Nina Tandon
source: TED-Ed 2015年6月25日
View full lesson: http://ed.ted.com/lessons/how-to-grow...
Can you grow a human bone outside the human body? The answer may soon be yes. Nina Tandon explores the possibility by examining how bones naturally grow inside the body, and illuminating how scientists are hoping to replicate that process in a lab.
Lesson by Nina Tandon, animation by Giant Animation Studios.
Why do blood types matter? - Natalie S. Hodge
source: TED-Ed 2015年6月29日
View full lesson: http://ed.ted.com/lessons/why-do-bloo...
It’s often said that despite humanity’s many conflicts, we all bleed the same blood. It’s a nice thought, but not quite accurate. In fact, our blood comes in a few different varieties. Natalie S. Hodge defines the four major blood types and sheds light on why some bloods can mix while others cannot.
Lesson by Natalie S. Hodge, animation by Brad Purnell.
The incredible history of China's terracotta warriors - Megan Campisi an...
source: TED-Ed 2015年6月30日
View full lesson: http://ed.ted.com/lessons/the-incredi...
In 1974, farmers digging a well near their small village stumbled upon one of the most important finds in archaeological history – vast underground chambers surrounding a Chinese emperor’s tomb that contained more than 8,000 life-size clay soldiers ready for battle. Megan Campisi and Pen-Pen Chen shares the fascinating history of Emperor Qin Shi Huang.
Lesson by Megan Campisi and Pen-Pen Chen, animation by Zedem Media.
The Banach–Tarski Paradox
source: Vsauce 2015年7月31日
Q: "What's an anagram of Banach-Tarski?"
A: "Banach-Tarski Banach-Tarski."
twitter: https://www.twitter.com/tweetsauce
Instagram: http://www.instagram.com/electricpants
Kevin’s Field Day video: https://www.youtube.com/watch?v=1zARM...
Field Day: https://www.youtube.com/channel/UCRPk...
Deep dream animation by http://instagram.com/NaderMakki/
If you like it, you'll love this video also by Nader: https://www.youtube.com/watch?v=fJ9j_...
History vs. Genghis Khan - Alex Gendler
source: TED-Ed 2015年7月2日
View full lesson: http://ed.ted.com/lessons/history-vs-...
He was one of the most fearsome warlords who ever lived, waging an unstoppable conquest across the Eurasian continent. But was Genghis Khan a vicious barbarian or a unifier who paved the way for the modern world? Alex Gendler puts this controversial figure on trial in History vs Genghis Khan.
Sir Anthony Seldon: "Beyond Happiness"
source: Talks at Google 2015年8月3日
Sir Anthony Seldon: Beyond Happiness: The trap of happiness and how to find deeper meaning and joy
Recorded in London, July 2015
As Britain's best-known headmaster, Sir Anthony famously introduced happiness, or well-being, lessons at his school, Wellington College. In 2011, he co-founded Action for Happiness, a body to raise awareness of the discovery of happiness and reduction of depression, whose influence is growing rapidly in Britain and across the world.
In this book Anthony Seldon distinguishes between pleasure, happiness and joy, and offers an original 8-step approach on how to make our lives far more meaningful and rewarding. The pursuit of happiness can all too easily become a trap which seduces us into thinking there is no more to life than being happy. In fact, the author is highly critical of 'positive psychology' and other dominant schools of thought.
In fact, we need to reach beyond this if we are to access the deepest levels of human experience open to us, and find our own unique path in life. The author offers a further 5 steps, which point the way to accessing these deeper levels of experience, which alone result in the joyful life which is our birthright.
Paradoxically, as this book demonstrates, stepping off the happiness treadmill will ultimately make for a happier and more fulfilled life. It is time to go beyond happiness.
Dirk Philipsen on GDP
source: The RSA 2015年8月2日
GDP is seen as the universal yardstick of progress and the highest goal of politics. But economic historian Dirk Philipsen argues that the world can no longer afford GDP rule, and it’s time now for a different measure.
Today, increasing GDP is the highest goal of politics. But a finite planet cannot sustain blind and indefinite expansion. If we consider future generations equal to our own, replacing the GDP regime is the ethical imperative of our times.
Economic historian Dirk Philipsen shows how the history of GDP reveals unique opportunities to fashion smarter goals and measures, and explores a possible roadmap for a future that advances quality of life rather than indiscriminate growth.
Listen to the podcast: https://www.thersa.org/discover/audio...
Follow the RSA on Twitter: https://twitter.com/RSAEvents
Like the RSA on Facebook: https://www.facebook.com/theRSAorg
General Biology (Fall 2014) - Alan Shabel, John P. Huelsenbeck, David D Ackerly / UCBerkeley
# click the upper-left icon to select videos from the playlist
source: UCBerkeley Last updated on 2014年12月15日
Biology 1B, 001 - Fall 2014
Creative Commons 3.0: Attribution-NonCommercial-NoDerivs
2014-08-29: Biodiversity and prokaryotes 47:15
2014-09-03: Origin of eukaryotes 54:24
2014-09-05: Protist diversity 45:50
2014-09-08: Colonization of land 49:18
2014-09-10: Vascular plants 47:21
2014-09-12: Evolution of seeds 48:34
2014-09-15: Flower power 48:32
2014-09-17: Morphological evolution 46:19
2014-09-19: Roots and resources 44:13
2014-09-22: Stems and leaves 48:19
2014-09-24: Fluid transport 43:45
2014-09-26: Fungi 41:59
2014-09-29: Animals 49:18
2014-10-01: Ecology: Introduction / Energy balance 50:39
2014-10-03: Ecological tolerances / Natural selection | LAST 51:23
2014-10-06: Demography and life history 52:28
2014-10-08: Population growth and regulation 52:12
2014-10-10: Competition and coexistence 51:35
2014-10-13: Predator-prey, coevolution 50:11
2014-10-15: Disease ecology 52:21
2014-10-17: Climate and earth's biomes 50:34
2014-10-20: Energy flow and trophic interactions 50:41
2014-10-22: Diversity in time and space 49:44
2014-10-24: Disturbance and succession 50:28
2014-10-27: Ecosystem ecology 51:18
2014-10-29: Conservation Biology 48:59
2014-10-31: Global change 49:17
2014-11-03: Lecture 1: Darwin and the Origin I 49:12
2014-11-05: Lecture 2: Darwin and the Origin II 48:01
2014-11-07: Lecture 3: Population Genetics I 50:12
2014-11-10: Lecture 4: Population Genetics II 49:04
2014-11-12: Lecture 5: Population Genetics III 47:47
2014-11-14: Lecture 6: Natural Selection 49:30
2014-11-17: Lecture 7: Phylogenetics I 49:39
2014-11-19: Lecture 8: Phylogenetics II 49:51
2014-11-21: Lecture 9: The Advantage of Sex 48:42
2014-11-24: Lecture 10: Sexual Selection 50:27
2014-11-26: Lecture 11: Species & Speciation I 48:04
2014-12-01: Lecture 12: Species & Speciation II 48:57
2014-12-03: Lecture 13: Fossil Record 47:24
2014-12-05: Lecture 14: Human Evolution 33:53
2014-12-08 47:06
2014-12-12 46:52
source: UCBerkeley Last updated on 2014年12月15日
Biology 1B, 001 - Fall 2014
Creative Commons 3.0: Attribution-NonCommercial-NoDerivs
2014-08-29: Biodiversity and prokaryotes 47:15
2014-09-03: Origin of eukaryotes 54:24
2014-09-05: Protist diversity 45:50
2014-09-08: Colonization of land 49:18
2014-09-10: Vascular plants 47:21
2014-09-12: Evolution of seeds 48:34
2014-09-15: Flower power 48:32
2014-09-17: Morphological evolution 46:19
2014-09-19: Roots and resources 44:13
2014-09-22: Stems and leaves 48:19
2014-09-24: Fluid transport 43:45
2014-09-26: Fungi 41:59
2014-09-29: Animals 49:18
2014-10-01: Ecology: Introduction / Energy balance 50:39
2014-10-03: Ecological tolerances / Natural selection | LAST 51:23
2014-10-06: Demography and life history 52:28
2014-10-08: Population growth and regulation 52:12
2014-10-10: Competition and coexistence 51:35
2014-10-13: Predator-prey, coevolution 50:11
2014-10-15: Disease ecology 52:21
2014-10-17: Climate and earth's biomes 50:34
2014-10-20: Energy flow and trophic interactions 50:41
2014-10-22: Diversity in time and space 49:44
2014-10-24: Disturbance and succession 50:28
2014-10-27: Ecosystem ecology 51:18
2014-10-29: Conservation Biology 48:59
2014-10-31: Global change 49:17
2014-11-03: Lecture 1: Darwin and the Origin I 49:12
2014-11-05: Lecture 2: Darwin and the Origin II 48:01
2014-11-07: Lecture 3: Population Genetics I 50:12
2014-11-10: Lecture 4: Population Genetics II 49:04
2014-11-12: Lecture 5: Population Genetics III 47:47
2014-11-14: Lecture 6: Natural Selection 49:30
2014-11-17: Lecture 7: Phylogenetics I 49:39
2014-11-19: Lecture 8: Phylogenetics II 49:51
2014-11-21: Lecture 9: The Advantage of Sex 48:42
2014-11-24: Lecture 10: Sexual Selection 50:27
2014-11-26: Lecture 11: Species & Speciation I 48:04
2014-12-01: Lecture 12: Species & Speciation II 48:57
2014-12-03: Lecture 13: Fossil Record 47:24
2014-12-05: Lecture 14: Human Evolution 33:53
2014-12-08 47:06
2014-12-12 46:52
John Tsitsiklis: Probabilistic Systems Analysis and Applied Probability (Fall 2013, MIT)
# automatic playing for the 76 videos (click the up-left corner for the list)
source: MIT OpenCourseWare Last updated on 2014年7月2日
MIT 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013
This is a collection of 76 videos for MIT 6.041- 25 lectures videos (2010) and 51 recitation videos (2013). In the recitation videos MIT Teaching Assistants solve selected recitation and tutorial problems from the course.
View the complete course: http://ocw.mit.edu/6-041SCF13
Instructors: Qing He, Jimmy Li, Jagdish Ramakrishnan, Katie Szeto, and Kuang Xu
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
1. Probability Models and Axioms 51:11
The Probability of the Difference of Two Events 5:55
Geniuses and Chocolates 8:43
Uniform Probabilities on a Square 9:17
2. Conditioning and Bayes' Rule 51:11
A Coin Tossing Puzzle 8:11
Conditional Probability Example 14:22
The Monty Hall Problem 15:59
3. Independence 46:30
A Random Walker 5:52
Communication over a Noisy Channel 19:53
Network Reliability 7:24
A Chess Tournament Problem 18:33
4. Counting 51:35
Rooks on a Chessboard 18:28
Hypergeometric Probabilities 5:49
5. Discrete Random Variables I 50:35
Sampling People on Buses 11:56
PMF of a Function of a Random Variable 15:26
6. Discrete Random Variables II 50:53
Flipping a Coin a Random Number of Times 8:43
Joint Probability Mass Function (PMF) Drill 1 17:37
The Coupon Collector Problem 7:15
7. Discrete Random Variables III 50:42
Joint Probability Mass Function (PMF) Drill 2 13:45
8. Continuous Random Variables 50:29
Calculating a Cumulative Distribution Function (CDF) 8:44
A Mixed Distribution Example 13:25
Mean & Variance of the Exponential 15:11
Normal Probability Calculation 5:25
9. Multiple Continuous Random Variables 50:51
Uniform Probabilities on a Triangle 22:58
Probability that Three Pieces Form a Triangle 12:30
The Absent Minded Professor 13:09
10. Continuous Bayes' Rule; Derived Distributions 48:53
Inferring a Discrete Random Variable from a Continuous Measurement 18:37
Inferring a Continuous Random Variable from a Discrete Measurement 11:35
A Derived Distribution Example 9:30
The Probability Distribution Function (PDF) of [X] 9:06
Ambulance Travel Time 6:47
11. Derived Distributions (ctd.); Covariance 51:55
The Difference of Two Independent Exponential Random Variables 6:12
The Sum of Discrete and Continuous Random Variables 5:37
12. Iterated Expectations 47:54
The Variance in the Stick Breaking Problem 11:30
Widgets and Crates 10:06
Using the Conditional Expectation and Variance 10:10
A Random Number of Coin Flips 17:19
A Coin with Random Bias 22:58
13. Bernoulli Process 50:58
Bernoulli Process Practice 8:22
14. Poisson Process I 52:44
Competing Exponentials 7:43
15. Poisson Process II 49:28
Random Incidence Under Erlang Arrivals 9:43
16. Markov Chains I 52:06
Setting Up a Markov Chain 10:36
Markov Chain Practice 1 11:42
17. Markov Chains II 51:25
18. Markov Chains III 51:50
Mean First Passage and Recurrence Times 9:27
19. Weak Law of Large Numbers 50:13
Convergence in Probability and in the Mean Part 1 13:37
Convergence in Probability and in the Mean Part 2 5:46
Convergence in Probability Example 7:37
20. Central Limit Theorem 51:23
Probabilty Bounds 10:46
Using the Central Limit Theorem 11:25
21. Bayesian Statistical Inference I 48:50
22. Bayesian Statistical Inference II 52:16
Inferring a Parameter of Uniform Part 1 24:52
Inferring a Parameter of Uniform Part 2 19:36
An Inference Example 27:51
23. Classical Statistical Inference I 49:32
24. Classical Inference II 51:50
25. Classical Inference III 52:07
source: MIT OpenCourseWare Last updated on 2014年7月2日
MIT 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013
This is a collection of 76 videos for MIT 6.041- 25 lectures videos (2010) and 51 recitation videos (2013). In the recitation videos MIT Teaching Assistants solve selected recitation and tutorial problems from the course.
View the complete course: http://ocw.mit.edu/6-041SCF13
Instructors: Qing He, Jimmy Li, Jagdish Ramakrishnan, Katie Szeto, and Kuang Xu
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
1. Probability Models and Axioms 51:11
The Probability of the Difference of Two Events 5:55
Geniuses and Chocolates 8:43
Uniform Probabilities on a Square 9:17
2. Conditioning and Bayes' Rule 51:11
A Coin Tossing Puzzle 8:11
Conditional Probability Example 14:22
The Monty Hall Problem 15:59
3. Independence 46:30
A Random Walker 5:52
Communication over a Noisy Channel 19:53
Network Reliability 7:24
A Chess Tournament Problem 18:33
4. Counting 51:35
Rooks on a Chessboard 18:28
Hypergeometric Probabilities 5:49
5. Discrete Random Variables I 50:35
Sampling People on Buses 11:56
PMF of a Function of a Random Variable 15:26
6. Discrete Random Variables II 50:53
Flipping a Coin a Random Number of Times 8:43
Joint Probability Mass Function (PMF) Drill 1 17:37
The Coupon Collector Problem 7:15
7. Discrete Random Variables III 50:42
Joint Probability Mass Function (PMF) Drill 2 13:45
8. Continuous Random Variables 50:29
Calculating a Cumulative Distribution Function (CDF) 8:44
A Mixed Distribution Example 13:25
Mean & Variance of the Exponential 15:11
Normal Probability Calculation 5:25
9. Multiple Continuous Random Variables 50:51
Uniform Probabilities on a Triangle 22:58
Probability that Three Pieces Form a Triangle 12:30
The Absent Minded Professor 13:09
10. Continuous Bayes' Rule; Derived Distributions 48:53
Inferring a Discrete Random Variable from a Continuous Measurement 18:37
Inferring a Continuous Random Variable from a Discrete Measurement 11:35
A Derived Distribution Example 9:30
The Probability Distribution Function (PDF) of [X] 9:06
Ambulance Travel Time 6:47
11. Derived Distributions (ctd.); Covariance 51:55
The Difference of Two Independent Exponential Random Variables 6:12
The Sum of Discrete and Continuous Random Variables 5:37
12. Iterated Expectations 47:54
The Variance in the Stick Breaking Problem 11:30
Widgets and Crates 10:06
Using the Conditional Expectation and Variance 10:10
A Random Number of Coin Flips 17:19
A Coin with Random Bias 22:58
13. Bernoulli Process 50:58
Bernoulli Process Practice 8:22
14. Poisson Process I 52:44
Competing Exponentials 7:43
15. Poisson Process II 49:28
Random Incidence Under Erlang Arrivals 9:43
16. Markov Chains I 52:06
Setting Up a Markov Chain 10:36
Markov Chain Practice 1 11:42
17. Markov Chains II 51:25
18. Markov Chains III 51:50
Mean First Passage and Recurrence Times 9:27
19. Weak Law of Large Numbers 50:13
Convergence in Probability and in the Mean Part 1 13:37
Convergence in Probability and in the Mean Part 2 5:46
Convergence in Probability Example 7:37
20. Central Limit Theorem 51:23
Probabilty Bounds 10:46
Using the Central Limit Theorem 11:25
21. Bayesian Statistical Inference I 48:50
22. Bayesian Statistical Inference II 52:16
Inferring a Parameter of Uniform Part 1 24:52
Inferring a Parameter of Uniform Part 2 19:36
An Inference Example 27:51
23. Classical Statistical Inference I 49:32
24. Classical Inference II 51:50
25. Classical Inference III 52:07
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