Showing posts with label links. Show all posts
Showing posts with label links. Show all posts

Wednesday, June 19, 2019

Links

1. Stay in the Game: There is hope in humanity!

2. Kevin Simler's graphical essay on going critical

3. The force of Gilbert Strang

4. Strogatz's "Beauty of Calculus" Lecture

Sunday, March 24, 2019

Mathy Links

1. Econophysics is a real thing (learnt about it here)

2. Why \(i^i\) is real!

3. Riffing on mistakes (John D. Cook)

Friday, February 1, 2019

Open Textbooks

Here are links to some decent open textbook resources relevant for math and science.

Tuesday, December 25, 2018

Science Links

1. Donald Knuth: Yoda of Silicon Valley (NYT)

2. Schrodinger Equation or Lunn Equation? (wikipedia, quora, Physics Today)
The Physical Review referee, G. S. Fulcher, found Lunn's paper to be unphysical and impossibly abstract, and he rejected it. Fulcher replaced Lunn as a member of Physical Review's editorial board early in 1922, and Lunn went on to withdraw bitterly from contact with most physicists...
3. CRISPR and human babies (The Atlantic)

QOTD: "Education is learning what man has discovered over the past 5000 years, in 20 years or less." (via @TheWeirdWorld)

Sunday, December 9, 2018

Pair-Programming and Google

The New Yorker has a riveting story about the unlikely friendship of Jeff Dean and Sanjay Ghemawat, and its role in shaping Google.
Sanjay looked at Jeff. For months, Google had been experiencing an increasing number of hardware failures. The problem was that, as Google grew, its computing infrastructure also expanded. Computer hardware rarely failed, until you had enough of it—then it failed all the time. Wires wore down, hard drives fell apart, motherboards overheated. Many machines never worked in the first place; some would unaccountably grow slower. Strange environmental factors came into play. When a supernova explodes, the blast wave creates high-energy particles that scatter in every direction; scientists believe there is a minute chance that one of the errant particles, known as a cosmic ray, can hit a computer chip on Earth, flipping a 0 to a 1.

Tuesday, November 27, 2018

Links: Math Edition

1. How paradoxes shape Mathematics (article links to presentation)

2. Paul Romer on "Jupyter, Mathematica, and the Future of the Research Paper"

3. Wilson's Matrix (Cleve Moler)

4. Is a kB 1000 bytes or 1024 bytes? (John D. Cook)

Friday, August 24, 2018

Data Visualization Resources

Here are some resources that one of my students (Eitan Lees) shared during a graduate seminar on visualization.
  • The Data Visualisation Catalogue has an exhaustive catalog of different charts and graphical representations. It is a useful first place to browse when figuring out what kind of plot to use.
  • Lot of common "errors", and practical pointers on improving graphical presentation is available at this wonderful site.
  • A generally good idea is to remove to improve
  • Paletton is a site where you can play with colors and color schemes.

Wednesday, August 8, 2018

Links

1. Yogic Capitalism (Bloomberg on Baba Ramdev)

2. Netflix has a decent documentary on him

3. A history of punctuation in English (Ashley Timms)

4. Tim Urban has some career advice

Saturday, June 9, 2018

Links

1. Anti-GMO study fails to replicate (neurologica)

2. When a six-sigma event occurs (John D Cook)

3. Jordan Canonical Form doesn't compute (Cleve Moler)

4. I have no peers! (wondermark)

Wednesday, May 16, 2018

Effective Oral Presentations

Recently, we talked about how to make effective oral presentations in a first year seminar class.

The focus was on technical talks - the ones that are typically accompanied by a slide deck.

I found the following resources quite useful in structuring a discussion:
Check them out.

Sunday, March 25, 2018

Links: Probability, Statistics, and Monte Carlo

1. A beautiful visual introduction to some concepts in probability and statistics (link)
Seeing Theory was created by Daniel Kunin while an undergraduate at Brown University. The goal of this website is to make statistics more accessible through interactive visualizations (designed using Mike Bostock’s JavaScript library D3.js).
It starts from relatively basic concepts, touches on some intermediate-level topics (Basic Probability, Compound Probability, Probability Distributions, Frequentist Inference, Bayesian Inference, Regression Analysis)

2. You are not a Monte Carlo Simulation (link)

It is now well-established that humans feel the pain of loss more strongly than the pleasure of an equivalent amount of gain. This interesting quirk may be shelved as an unfortunate cognitive bias (like confirmation bias); something for our rational mind to overcome.

However, one can the follow up question: why? A first level explanation is as follows: Suppose you invest $100. You lose 50% one day, and gain 100% the next day. You are now back to square one ($100 * 0.50 * 2.0 = $100). A gain twice the size of the loss was necessary to stay neutral.

Corey Hoffstein argues remarkably well that for individuals average outcomes are less meaningful than median outcomes. That the logarithmic scale for utility is more appropriate than a linear scale. And that loss aversion - that silly behavioral quirk - might be a powerful survival technique that helps us live to fight another day.

I loved this insightful post. If nothing else, do yourself a favor and read the summary.


Monday, February 12, 2018

Links

1. "Ten Lessons I WishI Had Learned Before I Started Teaching Differential Equations" (Gian-Carlo Rota)
What can we expect students to get out of an elementary course in differential equations? I reject the "bag of tricks" answer to this question. A course taught as a bag of tricks is devoid of educational value. One year later, the students will forget the tricks, most of which are useless anyway. The bag of tricks mentality is, in my opinion, a defeatist mentality, and the justifications I have heard of it, citing poor preparation of the students, their unwillingness to learn, and the possibility of assigning clever problem sets, are lazy ways out.
2. A web clone of MS Paint (jspaint.ml)

3. Strogatz Lectures on Nonlinear Dyanmics and Chaos (youtube)

Wednesday, January 3, 2018

Some Links

1. A nice portrait of Maryam Mirzakhani (NYT)
Three years ago, Mirzakhani, 37, became the first woman to win the Fields Medal, the Nobel Prize of mathematics. News of the award, and the obvious symbolism (first woman, first Iranian, an immigrant from a Muslim country) sat uneasily with her. She was puzzled when she discovered that some people thought mathematics was not for women — it was not an idea that she or her friends encountered growing up in Iran — but she was not inclined, by personality, to tell others what to think.
2. Similar operations using sed and awk

3. Wikipedia and Fake Claims (neurologica)

Sunday, November 26, 2017

Post-Thanksgiving Links

Some links to interesting scientific content:

1. How Wikipedia Tackles Fringe Nonsense (neurologica)

2. Seven Academic-World Lies (Mariana Cerdeira)

3. Numerically Approximating Ghosts (John D Cook)

4. An Archive of Projects Using Differential Equations (Zill)

Tuesday, September 19, 2017

Some Useful Math Links!

1. The history of the division  symbol (obelus) is fascinating! (DivisionByZero)

2. On the same blog: "What is the difference between a theorem, a lemma, and a corollary?"

3. The "glue function"

4. Free abridged Linear Algebra book from Sheldon Axler.

Wednesday, August 9, 2017

Complex Numbers

1. What really are complex numbers?

2. The joy of slightly fishy proofs.

3. This discussion on MathOverflow

Friday, July 28, 2017

Interesting Scaling Laws

I recently read Geoffrey West's book "Scale", and thought it was really great. Here are some resources to prime you for the subject.

1. TED Talk

2. Talk @ Google

3. Essay at the Edge

4. Essay on Medium

Saturday, June 10, 2017

Links

1. "The seven deadly sins of statistical misinterpretation, and how to avoid them" (H/T FlowingData)

2. Desirability Bias (Neurologica)
[...] defined confirmation bias as a bias toward a belief we already hold, while desirability bias is a bias toward a belief we want to be true.
3. H/T John D. Cook
“Teachers should prepare the student for the student’s future, not for the teacher’s past.” — Richard Hamming
 4. This xkcd cartoon on survivorship bias

Tuesday, May 16, 2017

Purdue-Kaplan: Is Disruption Knocking?

Last month Purdue University announced they were going to acquire Kaplan University, an online for-profit institution. The NewU ...
... will be distinct from others in the Purdue system, relying only on tuition and fundraising to cover operating expenses. No state appropriations will be utilized. It will operate primarily online, but has 15 locations across the United States, including an existing facility in Indianapolis, with potential for growth throughout the state. Indiana resident students will receive a yet-to-be-determined tuition discount.
The deal has the potential to bring down tuition costs, enhance access, and provide Purdue's solid brand name. Here are some reactions to news:

1. Purdue's official statement is, of course, positive.
Former U.S. Secretary of Education Arne Duncan said, “I’ve always had great respect for Gov. Daniels, and I’m excited by this opportunity for a world-class university to expand its reach and help educate adult learners by acquiring a strong for-profit college. This is a first, and if successful, could help create a new model for what it means to be a land-grant institution.”
2. However, questions are being raised (NPR).
The deal is eye-catching, but also part of a trend. Over the past decade dozens of nonprofit universities have contracted with private companies to expand their online offerings. For example, Arizona State University works with Pearson, and the University of Southern California with a company called 2U. Florida A&M and South Carolina State, both historically black institutions, have partnered with the University of Phoenix. In an atmosphere of ever-skinnier state budgets, these programs enable universities to reach a global market, cater to working adults, and potentially increase revenue without expensive capital investment.
3.  The faculty at Purdue is not happy (InsideHigherEd)
No faculty input was sought before the acquisition decision was made, and no assessment of its impact on Purdue’s academic quality was completed, according to the resolution. The resolution proceeded to fault a lack of transparency and a lack of an impact study on how the acquisition will affect faculty, curriculum, students and staff at Purdue. The resolution also wondered what will happen to faculty governance and academic freedom at Purdue’s newly acquired university. And it said previously Purdue’s administration has gone through University Senate structures -- which include faculty input -- when pursuing program restructuring or creation.
4.  An interview with the seller, Donald Graham, chairman of Graham Holdings.

[Q:] I see what Purdue gets from the arrangement—a jumpstart into providing online courses. But what does Graham Holdings get out of this deal? 
Graham: [...] You asked about when Graham Holdings shareholders might be rewarded. The only way we would be rewarded, the only way we would get a growing stream of revenue, would be if Purdue continued over the years to add students. In other words if the university became a big success under Purdue's leadership, we'll be part of that success. But we will not be a participant in any profits. We're out of the for-profit education business here. We will be paid for our services, and the profits if any will go to Purdue, and hopefully back into the whole educational system.
5. Some older links to universities, MOOCs and online education

Friday, May 12, 2017

Computational Thinking Classes

Here is a collection of "Computational Thinking for non-majors" type of classes:

1. My department's very own

2. Another list which links to classes from Berkeley, and Harvey Mudd.

3. A self-study course package

4. This essay by Stephen Wolfram on how to teach computational thinking