📖 Read pages 1-52 of Preface; Chapter 1: The Curtain Rises on the Sorek and Elah Valleys; and Chapter 2: In King David’s Footsteps: Bible, History, and Archaeology In the Footsteps of King David: Revelations from an Ancient Biblical City by Yosef Garfinkel, Saar Ganor, and Michael G. Hasel (Thames & Hudson, 1st edition; July 24, 2018)
So far a fascinating account of a multi-season excavation of a late 11th and early 10th centuries BCE city. They do an excellent job of teasing out of the biblical, mythical, and archaeological sources for setting the story of their work. They also lay out several alternate and competing contemporary theories surrounding their work.
For those who haven’t studied archaeology, they also do a great job of discussing the evolution of the topic and its application to their particular example, so you not only get the particular story they’re telling, but also a relatively firm framework for how archaeology is practiced in a modern setting.
This is a great example of science and humanities communication. I can’t wait to finish out the book.
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📗 Started reading In the Footsteps of King David: Revelations from an Ancient Biblical City by Yosef Garfinkel, Saar Ganor, and Michael G. Hasel (Thames & Hudson, 1st edition; July 24, 2018)
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Babies and infants love mathematics. Give babies a set of blocks, and they will build and order them, fascinated by the ways the edges line up. Children will look up at the sky and be delighted by the V formations in which birds fly. Count a set of objects with a young child and then move the objects and count them again, and they will be enchanted by the fact they still have the same number. Ask children to make patterns with colored blocks, and they will work happily making repeating patterns—one of the most mathematical of all acts. Mathematician Keith Devlin has written a range of books showing strong evidence that we are all natural mathematics users and thinkers.1 We want to see patterns in the world and to understand the rhythms of the universe. But the joy and fascination young children experience with mathematics are quickly replaced by dread and dislike when they start school mathematics and are introduced to a dry set of methods they think they just have to accept and remember.
If you think mathematics is difficult, tough, or you’re scared of it, this article will indicate why and potentially show you a way forward for yourself and your children.
Highlights, Quotes, Annotations, & Marginalia
The low achievers did not know less, they just did not use numbers flexibly—probably because they had been set on the wrong pathway, from an early age, of trying to memorize methods and number facts instead of interacting with numbers flexibly. ❧
December 15, 2018 at 08:42AM
Unfortunately for low achievers, they are often identified as struggling with math and therefore given more drill and practice—cementing their beliefs that math success means memorizing methods, not understanding and making sense of situations. They are sent down a damaging pathway that makes them cling to formal procedures, and as a result, they often face a lifetime of difficulty with mathematics. ❧
December 15, 2018 at 08:44AM
Notably, the brain can only compress concepts; it cannot compress rules and methods. ❧
December 15, 2018 at 08:44AM
Unfortunately, many classrooms focus on math facts in isolation, giving students the impression that math facts are the essence of mathematics, and, even worse, that mastering the fast recall of math facts is what it means to be a strong mathematics student. Both of these ideas are wrong, and it is critical that we remove them from classrooms, as they play a key role in creating math-anxious and disaffected students. ❧
This article uses the word “unfortunately quite a lot.
December 15, 2018 at 08:46AM
The hippocampus, like other brain regions, is not fixed and can grow at any time,15 but it will always be the case that some students are faster or slower when memorizing, and this has nothing to do with mathematics potential. ❧
December 15, 2018 at 08:53AMSyndicated copies to:
Directed by Christopher Misiano. With Rob Lowe, Dulé Hill, Allison Janney, Janel Moloney. The President and Leo deal with reports of a planned terrorist attack, but more shocking is who is behind it. Sam receives an anonymous package with bad implications for the campaign. C.J. chafes under her Secret Service protection.
Directed by Alex Graves. With Rob Lowe, Dulé Hill, Allison Janney, Janel Moloney. A meeting with the new Russian president becomes politically dangerous when surveillance photos show Russia building a nuclear reactor in Iran. C.J. is assigned Secret Service protection after receiving death threats.
Directed by Bill Couturié. With Stockard Channing, Dulé Hill, Allison Janney, Janel Moloney. Celebrating the people of the real West Wing, this documentary features interviews with former Presidents Carter, Clinton, and Ford, Secretary of State Kissinger, and more than a dozen White House aides, chiefs of staff, and press secretaries.
What does a JPEG have to do with economics and quantum gravity? All of them are about what happens when you simplify world-descriptions. A JPEG compresses an image by throwing out fine structure in ways a casual glance won't detect. Economists produce theories of human behavior that gloss over the details of individual psychology. Meanwhile, even our most sophisticated physics experiments can't show us the most fundamental building-blocks of matter, and so our theories have to make do with descriptions that blur out the smallest scales. The study of how theories change as we move to more or less detailed descriptions is known as renormalization.
This tutorial provides a modern introduction to renormalization from a complex systems point of view. Simon DeDeo will take students from basic concepts in information theory and image processing to some of the most important concepts in complexity, including emergence, coarse-graining, and effective theories. Only basic comfort with the use of probabilities is required for the majority of the material; some more advanced modules rely on more sophisticated algebra and basic calculus, but can be skipped. Solution sets include Python and Mathematica code to give more advanced learners hands-on experience with both mathematics and applications to data.
We'll introduce, in an elementary fashion, explicit examples of model-building including Markov Chains and Cellular Automata. We'll cover some new ideas for the description of complex systems including the Krohn-Rhodes theorem and State-Space Compression. And we'll show the connections between classic problems in physics, including the Ising model and plasma physics, and cutting-edge questions in machine learning and artificial intelligence.
Directed by Jeremy Kagan. With Rob Lowe, Dulé Hill, Allison Janney, Janel Moloney. On a typical night in the west wing, Sam returns from a hockey game and Josh asks him to meet with V.P. Hoynes about saving an education bill. Back at the W.H., Josh, Toby, Leo, C.J., Larry and Ed all meet about the prospect of replacing Hoynes on the ticket in the next campaign. Bartlet helps Charlie do his federal taxes, and while both think Charlie should expect a refund, thanks to last year's...
Mapping our place in the world: The atlas for the 21st century. Worldmapper is a collection of world maps where countries are resized according to a broad range of global issues. Our cartograms are unique visualisations that show the world as you've never seen it before. Explore them all!
Directed by Christopher Misiano. With Rob Lowe, Dulé Hill, Allison Janney, Janel Moloney. Poet laureate Tabitha Fortis visits D.C. to attend a White House dinner in her honor, and Toby develops a bit of a crush on her, but he also must admonish the somewhat flighty beauty against publicly criticizing the president for his refusal to sign an international anti-land mine treaty; Donna discovers a website devoted to Josh, and he soon becomes sucked into the online chat about his ...
The study of networks, including computer networks, social networks, and biological networks, has attracted enormous interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on an unprecedented scale, and the development of new theoretical tools has allowed us to extract knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and central developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.
Topics covered include the measurement of networks; methods for analyzing network data, including methods developed in physics, statistics, and sociology; fundamentals of graph theory; computer algorithms; mathematical models of networks, including random graph models and generative models; and theories of dynamical processes taking place on networks.