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10 great physics courses you can take online right now, for free
Here are 10 physics courses you can take now with some of the best experts in the world.
- You can find numerous physics courses currently available online for free.
- Courses are taught by instructors with amazing credits like Nobel Prizes and field-defining work.
- Topics range from introductory to Einstein's theory of relativity, particle physics, dark energy, quantum mechanics, and more.
The internet has in many ways fulfilled its educational promise and can be an amazing resource to learn pretty much anything. This is especially true if you have an interest in physics, the study of matter, energy and the fundamental interactions and forces of our universe. There are hundreds of great free courses available, with field-leading and even Nobel Prize-winning instructors.
To get you started, we distilled through the resources to come up with a list of 10 courses you can take right now and get your physics journey under way.
Here we go:
A great intro course that looks at physics in the context of everyday objects and processes. How does skating work? Why do things fall? The course uses the cases of ramps, wheels, bumper cars and more to illuminate the physics of life around you. It is taught by the University of Virginia physics professor Louis A. Bloomfield, a noted science educator, lecturer, author, as well as tv host.
If you want to brush up on the essential concepts of physics, this course from Yale University might be for you. Taught by the physics professor Ramamurti Shankar, the lessons cover the principles and methods of physics, focusing on problem solving, quantitative reasoning and such concepts as Newtonian mechanics, special relativity, gravitation, waves, and thermodynamics.
Would you like to know about some of the most mysterious phenomena in the Universe? This fun course will bring you up to speed on white dwarfs, supernovae, neutron stars and black holes.
The 9-week course from the Australian National University has over 60,000 people enrolled, and is taught by Brian Schmidt, a Nobel Prize-winning physicist for his work on discovering dark energy. His co-teacher is the science educator and astrophysics researcher Paul Francis, who has a PhD from the University of Cambridge and has worked with NASA. He is particularly known for working on the spectra of quasars.
Want to get a general introduction to some of the main ideas about how the Universe was formed and where it's going? The Big Bang, the formation of the elements, the Higgs Boson, dark matter, dark energy and anti-matter all feature prominently in this 14-hour course, offered by the University of Tokyo.
It is taught by Hitoshi Murayama, a University of California, Berkley physics professor and the Director of Kavli Institute for the Physics and Mathematics of the Universe.
Want to understand Electricity and Magnetism? Take this course that currently has over 16,000 online students! This course was created by Scott Redmond, who worked previously in support of the International Space Station as a Mission Operations Analyst and conducted astronaut training before turning to teaching physics. The course offers 46 lectures in over 4 hours of video content and additional materials.
This interesting 8-week course, taught by Stanford University's Academic Director and historian of science Larry Randles Lagerstrom, goes deep into how Einstein came up with his famous theory. While setting up the background in both history and theory, the class provides a richer understanding of the theory of relativity itself.
This advanced 7-week course from MIT will teach you the basics of quantum mechanics, introducing such concepts as wavefunctions, the Schrodinger equation, uncertainty relations and the properties of quantum observables. The course is intended for people with previous college-level calculus and physics courses under their belt.
The currently archived but available course is taught by the MIT physics professor Barton Zwiebach, a specialist in string theory and theoretical particle physics, along with MIT physics lecturer Jolyon Bloomfield.
If learning about the workings of very small things sounds appealing and you love supercolliders, this is the course for you. In this class you will learn about subatomic physics, including the properties of atomic nuclei, how to detect and accelerate particles, as well as about electromagnetic, strong and weak interactions. And, of course, the Higgs Boson makes an appearance. The lessons will also talk about how to connect particle physics to astrophysics and the larger questions of the Universe.
This 31-hour course from the University of Geneva is taught by professor Marin Pohl, who works in experimental particle physics on European colliders like the LHC (Large Hadron Collider) in Switzerland. His current focus is astroparticle physics in space. The course's second teacher is assistant professor Anna Sfyrla, an experimental particle physicist, who teachers at the University of Geneva.
Is the Universe made of strings? If you're ready to dive into some of the headier explanations for everything in existence, take this great master class which can be completed in a few hours. It is taught by the Harvard University physics professor and string theory expert Cumrun Vafa, and was developed with the world-renowned string theorist Andrew Strominger.
If you want to further under understanding of Einstein's theory of relativity, you'd be interested in its connection to astronomy as explored in this course from Cornell University. Taught by astronomy professor David F. Chernoff, an expert in theoretical astrophysics, the lessons will deepen your knowledge by zeroing in on special and general relativity as well as experimental tests you can carry out to study them. You will also get to analyze paradoxes in special relativity and learn how relativity affects daily situations.
The prerequisite for this 4-week (currently archived but available) course requires at least high school level math and physics or an intro college course in both.
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These alien-like creatures are virtually invisible in the deep sea.
- A team of marine biologists used nets to catch 16 species of deep-sea fish that have evolved the ability to be virtually invisible to prey and predators.
- "Ultra-black" skin seems to be an evolutionary adaptation that helps fish camouflage themselves in the deep sea, which is illuminated by bioluminescent organisms.
- There are likely more, and potentially much darker, ultra-black fish lurking deep in the ocean.
A team of marine biologists has discovered 16 species of "ultra-black" fish that absorb more than 99 percent of the light that hits their skin, making them virtually invisible to other deep-sea fish.
The researchers, who published their findings Thursday in Current Biology, caught the species after dropping nets more than 200 meters deep near California's Monterey Bay. At those depths, sunlight fizzles out. That's one reason why many deep-sea species have evolved the ability to illuminate the dark waters through bioluminescence.
But what if deep-sea fish don't want to be spotted? To counter bioluminescence, some species have evolved ultra-black skin that's exceptionally good at absorbing light. Only a few other species are known to possess this strange trait, including birds of paradise and some spiders and butterflies.
The Pacific blackdragon
Credit: Karen Osborn/Smithsonian
When researchers first saw the deep-sea species, it wasn't immediately obvious that their skin was ultra-black. Then, marine biologist Karen Osborn, a co-author on the new paper, noticed something strange about the photos she took of the fish.
"I had tried to take pictures of deep-sea fish before and got nothing but these really horrible pictures, where you can't see any detail," Osborn told Wired. "How is it that I can shine two strobe lights at them and all that light just disappears?"
After examining samples of fish skin under the microscope, the researchers discovered that the fish skin contains a layer of organelles called melanosomes, which contain melanin, the same pigment that gives color to human skin and hair. This layer of melanosomes absorbs most of the light that hits them.
A crested bigscale
Credit: Karen Osborn/Smithsonian
"But what isn't absorbed side-scatters into the layer, and it's absorbed by the neighboring pigments that are all packed right up close to it," Osborn told Wired. "And so what they've done is create this super-efficient, very-little-material system where they can basically build a light trap with just the pigment particles and nothing else."
The result? Strange and terrifying deep-sea species, like the crested bigscale, fangtooth, and Pacific blackdragon, all of which appear in the deep sea as barely more than faint silhouettes.
David Csepp, NMFS/AKFSC/ABL
But interestingly, this unique disappearing trick wasn't passed on to these species by a common ancestor. Rather, they each developed it independently. As such, the different species use their ultra-blackness for different purposes. For example, the threadfin dragonfish only has ultra-black skin during its adolescent years, when it's rather defenseless, as Wired notes.
Other fish—like the oneirodes species, which use bioluminescent lures to bait prey—probably evolved ultra-black skin to avoid reflecting the light their own bodies produce. Meanwhile, species like C. acclinidens only have ultra-black skin around their gut, possibly to hide light of bioluminescent fish they've eaten.
Given that these newly described species are just ones that this team found off the coast of California, there are likely many more, and possibly much darker, ultra-black fish swimming in the deep ocean.
Information may not seem like something physical, yet it has become a central concern for physicists. A wonderful new book explores the importance of the "dataome" for the physical, biological, and human worlds.
- The most important current topic in physics relates to a subject that hardly seems physical at all — information, which is central to thermodynamics and perhaps the universe itself.
- The "dataome" is the way human beings have been externalizing information about ourselves and the world since we first began making paintings on cave walls.
- The dataome is vast and growing everyday, sucking up an ever increasing share of the energy humans produce.
Physics is a field that is supposed to study real stuff. By real, I mean things like matter and energy. Matter is, of course, the kind of stuff you can hold in your hand. Energy may seem a little more abstract, but its reality is pretty apparent, appearing in the form of motion or gravity or electromagnetic fields.
What has become apparent recently, however, is the importance to physics of something that seems somewhat less real: information. From black holes to quantum mechanics to understanding the physics of life, information has risen to become a principal concern of many physicists in many domains. This new centrality of information is why you really need to read astrophysicist Caleb Scharf's new book The Ascent of Information: Books, Bits, Machines, and Life's Unending Algorithms.
Scharf is currently the director of the Astrobiology Program at Columbia University. He is also the author of four other books as well as a regular contributor to Scientific American.
(Full disclosure: Scharf and I have been collaborators on a scientific project involving the Fermi Paradox, so I was a big fan before I read this new book. Of course, the reason why I collaborated with him is because I really like the way he thinks, and his creativity in tackling tough problems is on full display in The Ascent of Information.)
What is the dataome?
In his new book, Scharf is seeking a deeper understanding of what he calls the "dataome." This is the way human beings have been externalizing information about ourselves and the world since we first began making paintings on cave walls. The book opens with a compelling exploration of how Shakespeare's works, which began as scribbles on a page, have gone on to have lives of their own in the dataome. Through reprintings in different languages, recordings of performances, movie adaptations, comic books, and so on, Shakespeare's works are now a permanent part of the vast swirling ensemble of information that constitutes the human dataome.
I found gems in these parts of the book that forced me to put the volume down and stare into space for a time to deal with their impact.
But the dataome does not just live in our heads. Scharf takes us on a proper physicist's journey through the dataome, showing us how information can never be divorced from energy. Your brain needs the chemical energy from food you ate this morning to read, process, and interpret these words. One of the most engaging parts of the book is when Scharf details just how much energy and real physical space our data-hungry world consumes as it adds to the dataome. For example, the Hohhot Data Center in the Inner Mongolia Autonomous Region of China is made of vast "farms" of data processing servers covering 245 acres of real estate. A single application like Bitcoin, Scharf tells us, consumes 7.7 gigawatts per year, equivalent to the output of half a dozen nuclear reactors!
Information is everywhere
But the dataome is not just about energy. Entropy is central to the story as well. Scharf takes the reader through a beautifully crafted discussion of information and the science of thermodynamics. This is where the links between energy, entropy, the limits of useful work, and probability all become profoundly connected to the definition of information.
The second law of thermodynamics tells us that you cannot use all of a given amount of energy to do useful work. Some of that energy must be wasted by getting turned into heat. Entropy is the physicist's way of measuring that waste (which can also be thought of as disorder). Scharf takes the reader through the basic relations of thermodynamics and then shows how entropy became intimately linked with information. It was Claude Shannon's brilliant work in the 1940s that showed how information — bits — could be defined for communication and computation as an entropy associated with the redundancy of strings of symbols. That was the link tying the physical world of physics explicitly to the informational and computational world of the dataome.
The best parts of the book are where Scharf unpacks how information makes its appearance in biology. From the data storage and processing that occurs with every strand of DNA, to the tangled pathways that define evolutionary dynamics, Scharf demonstrates how life is what happens to physics and chemistry when information matters. I found gems in these parts of the book that forced me to put the volume down and stare into space for a time to deal with their impact.
The physics of information
There are a lot of popular physics books out there about black holes and exoplanets and other cool stuff. But right now, I feel like the most important topic in physics relates to a subject that hardly seems physical at all. Information is a relatively new addition to the physics bestiary, making it even more compelling. If you are looking for a good introduction to how that is so, The Ascent of Information is a good place to start.
A new study tested to what extent dogs can sense human deception.
Is humanity's best friend catching on to our shenanigans? Researchers at the University of Vienna discovered that dogs can in certain cases know when people are lying.
The scientists carried out a study with hundreds of dogs to determine to what extent dogs could spot deception. The team's new paper, published in Proceedings of the Royal Society B, outlined experiments that tested whether dogs, like humans, have some inner sense of how to assess truthfulness.
As the researchers wrote in their paper, "Among non-primates, dogs (Canis familiaris) constitute a particularly interesting case, as their social environment has been shared with humans for at least 14,000 years. For this reason, dogs have been considered as a model species for the comparative investigation of socio-cognitive abilities." The investigation focused specifically on understanding if dogs were "sensitive to some mental or psychological states of humans."
The experiments involved 260 dogs, which were made to listen to advice from a human "communicator" whom they did not know. The human told them which one of two bowls had a treat hidden inside by touching it and saying, "Look, this is very good!" If the dogs took the person's advice, they would get the treat.
Once they established the trust of the dogs, the researchers then complicated the experience by letting dogs watch another human that they did not know transfer the treat from one bowl to another. In some cases, the original communicator would also be present to watch but not always.
The findings revealed that half of the dogs did not follow the advice of the communicator if that person was not present when the food was switched to a different bowl. The dogs had a sense that this human could not have known the true location of the treat. Furthermore, two-thirds of the dogs ignored the human's suggestion if she did see the food switch but pointed to the wrong bowl. The dogs figured out the human was lying to them.
Photos of experiments showing the dog, human communicator, and person hiding the treat. Credit: Lucrezia Lonardo et al / Proceedings of the Royal Society B.
"We thought dogs would behave like children under age five and apes, but now we speculate that perhaps dogs can understand when someone is being deceitful," co-author Ludwig Huber from the University of Vienna told New Scientist. "Maybe they think, 'This person has the same knowledge as me, and is nevertheless giving me the wrong [information].' It's possible they could see that as intentionally misleading, which is lying."
This is not the first time such experiments have been carried out. Previously, children under age five, macaques, and chimps were tested in a similar way. It turned out that children and other animals were more likely than dogs to listen to the advice of the liars. Notably, among the dogs, terriers were found to be more like children and apes, more eagerly following false suggestions.