## All posts for the month **March, 2020**

# It Could Be Worse…

*Posted by John Quintanilla on March 30, 2020*

https://meangreenmath.com/2020/03/30/it-could-be-worse/

# Once upon a time in algebra class…

Side note: Yes, there’s only one true exponential curve on the graph. Yes, the spread of COVID-19 is best modeled with a logistic growth curve or an SEIR model. Nevertheless, this comic absolutely rings true.

Source: https://www.facebook.com/photo.php?fbid=10219301871391874&set=a.1147301637049&type=3&theater

*Posted by John Quintanilla on March 27, 2020*

https://meangreenmath.com/2020/03/27/once-upon-a-time-in-algebra-class/

# Jordan Lyles Becomes First Brewer To Wear Irrational Number

From the Onion, and posted in honor of the imminent Opening Day of the 2020 Major League Baseball season.

*Posted by John Quintanilla on March 23, 2020*

https://meangreenmath.com/2020/03/23/jordan-lyles-becomes-first-brewer-to-wear-irrational-number/

# Learning Math by Seeing It as a Story

I enjoyed this first-person piece about an English teacher who, by grim necessity, found herself thrust in the uncomfortable situation of co-teaching trigonometry and used her training as an English teacher to better engage her students.

Some quotes:

My students struggled with the calculations, thinking they just weren’t good at math. Like me, they hated it. What was the point in working and reworking these calculations? What were we trying to figure out anyway? And I originally agreed with them.

Yet trig slowly became my favorite class of the day. After spending years teaching English and reading, I was being challenged to move beyond what I had always been doing. When you’re new to something, you have a fresh perspective. You’re willing to take risks. You’re willing to try anything because you don’t know how something should be done.

And:

I brought in some books from Chris Ferrie’s Baby University series—books like

General Relativity for BabiesandOptical Physics for Babies. The idea is that you don’t fully know something unless you can break it down so simply that you can explain it to a young child.That’s the task I gave my students. We started by reading Ferrie’s board books to see how simple language and illustrations could be used to explain complex subjects. Next, students chose a multistep equation they had initially struggled with. Working in pairs or small groups, they talked through their thinking and the steps needed to solve the equation. Their partners were encouraged to ask questions and get clarification so the ideas were explained at the simplest level.

And:

I used story problems as an opportunity to connect math to students’ lives by creating fictional math-based stories. First, students would work in small groups to go through the chapter in their math textbook and collect the story problems, writing them on index cards. Next, students would lay out the cards to see the questions as a whole: Out of 10 or more story problems in the chapter, were there five similar ones they could group together? What problem-solving skills were called for to work on these problems?

When they used creative writing skills to develop math story problems about things they were interested in, students became more engaged. They wanted to read the other groups’ stories and work on the math in them because they had a real investment in the outcome. The stories helped students find motivation because they created an answer to the question “Why do we need to learn this?”

*Posted by John Quintanilla on March 20, 2020*

https://meangreenmath.com/2020/03/20/learning-math-by-seeing-it-as-a-story/

# Training Grad Students to Teach

This article from the *Chronicle of Higher Education*, What You Told Us About the Challenges of Training Grad Students to Teach, definitely gave me some food for thought about how we implement this in my own university.

*Posted by John Quintanilla on March 16, 2020*

https://meangreenmath.com/2020/03/16/training-grad-students-to-teach/

# Cat Cubed

Source: https://www.facebook.com/CTYJohnsHopkins/photos/a.323810509981/10151128278824982/?type=3&theater

*Posted by John Quintanilla on March 13, 2020*

https://meangreenmath.com/2020/03/13/cat-cubed/

# Why Alien Abductions Only Happen At Night

Source: https://www.facebook.com/biachinthekitchen/photos/a.399490790149821/2109676905797859/?type=3&theater

*Posted by John Quintanilla on March 9, 2020*

https://meangreenmath.com/2020/03/09/why-alien-abductions-only-happen-at-night/

# How To Annoy a Statistician

Source: https://www.xkcd.com/2118/

*Posted by John Quintanilla on March 6, 2020*

https://meangreenmath.com/2020/03/06/how-to-annoy-a-statistician/

# How mathematicians are trying to make NFL schedules fairer

ESPN had a nice article about applied mathematicians at the University of Buffalo who are working with the NFL to create fairer schedules. A few quotes:

“This is a field I’ve worked in for 46 years, including 43 as a professor,” Karwan said by phone last week. “I’ve worked on very difficult problems that take more than 12 hours on the supercomputer to solve. And this is by far the hardest any of us have ever seen.”

And:

In developing the schedule, NFL assigns “penalty points” to outcomes such as three-game road trips, games between teams with disparate rest, and road trips following a Monday night road game. In their final proof of concept in 2017 before receiving the grant, Karwan and Steever took the 2016 schedule and lowered the penalty total by 20 percent…

The first step is based in both math and reality. Before creating the schedule, the NFL identifies a small number of games — usually between 40 and 50 — to lock in. The league refers to this as “seeding.” It helps accommodate expectations from television partners for key games in certain time slots, as well as about 200 annual requests from owners who prefer their stadiums not be used in a given week because of concerts, baseball games, marathons and other potential complications…

At that point, the NFL asks its computers to run schedule simulations until it finds one that has an acceptable penalty total. Usually that means juggling the 40 to 50 pre-seeded games. Karwan and Steever believe the key to improving the schedule is to better choose those pre-seeded games, allowing the computer to see stronger schedules that would otherwise be blocked by the initial choices through a process known as integer programming.

Not surprisingly, this research was publicized by the MIT Sloan Sports Analytics Conference, an annual conference dedicated to the integration (insert rim shot) of mathematics and sports.

*Posted by John Quintanilla on March 2, 2020*

https://meangreenmath.com/2020/03/02/how-mathematicians-are-trying-to-make-nfl-schedules-fairer/