The 2014 UTeach conference at the University of Texas Ausin brought together faculty, students and staff from 40 universities with UTeach programs and five universities aspiring to build a UTeach program. The UMass Lowell UTeach team included two UML math majors, Erinn McLaughlin and John Romano.

Erinn McLaughlin, together with Michelle Scribner-MacLean (Graduate College of Education) and William Morton (Lowell National Historical Park), described how she and her classmates teamed with the National Park to create science and math projects for high school students. The work was part of the required UTeach course, Project Based Instruction.

At a poster session that included dozens of student submissions, John Romano won the *best student poster for a research project* for the work he did as an intern with M2D2 and Lowell High School. Erinn also displayed a poster on the mathematics of water wheels.

- The
**CUPM Curriculum Guide**is produced by the MAA Committee on the Undergraduate Program in Mathematics to guide mathematics departments in designing curricula for their undergraduate students. The 2004 version was the last to come out. The new version will be out in 2015. We were told that a draft will appear at maa.org/cupm in the near future. - In 2012, the Conference Board of the Mathematical Sciences issued the latest recommendations for teacher preparation in mathematics:
**The Mathematical Education of Teachers II (MET2)**. A few highlights of the new recommendations:

- Elementary teachers should take four mathematics courses on elementary school mathematics. This doesn't mean that the mathematics they are taught are elementary. The objective is to give teachers a deeper understanding of the mathematics that is taught in elementary grades. For example, while an elementary school teacher may teach division, coursework might include continued fractions or a study of the periodic nature of decimal fractions.
- Recommendations for middle school teachers include at least 24 credits of mathematics, including at least 15 credits designed specifically for future middle grades teachers that address essential ideas in the middle school curriculum.
- It is still recommended that prospective High school teachers complete coursework equivalent to that of a mathematics major. One change is that at least nine credits involve advanced study of secondary mathematics.
- The American Statistical Association (ASA) will be releasing
**The Statistical Education of Teachers (SET)**in 2014. It is expected to put a greater emphasis on data analysis.

**UTeach UMass Lowell**helps us at the middle and high school levels. Functions and Modeling (92.210), which is required for mathematics certification, revisits many high school topics from an advanced point of view. Research Method (UTL.302), which is required of all UTeach students, is a data analysis course that matches both MET2 and SET recommendations. Finally, the inquiry-based approach that many UTeach courses emphasize is consistent with that of all three curriculum guides.

- The last time I was chair we were housed in Olsen, now we’re in Olney. With new buildings starting to pop up on campus, several departments, including us, could be moving again in the coming years.
- Since my first “retirement” as chair, we’ve seen the retirements of Professors Yin, Makovoz, Weinberg, Spiegel, Mueller, Winslow, Berkovits, Ruskai, and Samarov. We currently have seven tenured faculty and seven Instructors who have joined us since then.
- When I left the chair’s position in the 20th century, we offered a two semester version of Calculus I, Calculus IA and Calculus IB. After trying “Preparation for Calculus” for a few years, we now we have a new two semester version of Calculus I. Same name, but different catalog numbers. Everything is cyclic.
- Scholarships: Toward the end of my first run as chair, Russ and Mary Bedell’s generosity had just brought us our first endowed scholarship. As you can see below, we’ve been fortunate to have two more endowed scholarships started since then and hope to be able to announce more in the future.
- Finally, Tangents didn’t exist in 1999 - the first issue was in 2002. So now I will move to the present.

- Outstanding Graduate Student: Nour Almansour
- Shapiro Scholarship: Chris Leger
- Bedell Scholarship: Tyler Gilzinger
- Zamanakos Scholarships: David Campbell, Mary Mersereau and Kevin Southwick
- Hall Prize: Kevin Cerritelli.

RAW is described as "The missing link between spreadsheets and vector graphics. It's a really easy way to generate interesting data visualizations from spreadsheet data. For more information: http://raw.densitydesign.org

Here is a visualization of the Fall 2013 Math Schedule showing the times at which each course is offered.

**Shelley Rasmussen**has be doing research into the mathematics of weaving. She has gotten several students involved in her work. Most recently, math majors

**Olivia Demers**and

**Mary Mersereau**had been working with Shelley. They recently shared their enthusiasm for the subject with some children in a local summer camp. For more information on the mathematics of weaving: Shelley_Rasmussen@uml.edu.

One of the neat things about Sage, the open-source computer algebra system is that you can easily embed it into any web page. Here is an example of some code that can be evaluated to plot a function and it's derivative. For more information about Sage: http://sagemath.org. To learn how to embed Sage into your web page: http://aleph.sagemath.org/static/about.html.

# Embedded Sage Cell

- The book is now listed as part of the American Math Institute's Open Textbook Initiative.
- It has its first outside adoptions: classes at the University of the Puget Sound, Grinnell College, Casper College and Luzurne Community College are all using the book in the spring of 2013.

Applied Discrete Structures by Alan Doerr & Kenneth Levasseur is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States License.

**Prof. James Propp**organized an event at the Mathematical Sciences Research Institute in Berkeley, California, entitled "Wild Beauty: Postcards from Mathematical Worlds". The event was a public exhibit of images and simulations related to the field of random spatial processes. Here are excerpts from the half-hour kickoff-talk given by Prof. Propp at the start of the event (for images, and a full transcript and video, see http://msri.org/wildbeauty/).

Wildness wasn't always seen as beautiful. Prior to the Romantic era, the spectacle of untamed nature was a source of fear, not pleasure. Likewise, randomness wasn't always seen as mathematical. If math is the ultimate form of certain knowledge, what could be more un-mathematical than the things we don't know, like the face that will be shown by a die that we haven't rolled yet? If math is about perfection of form, what could be more un-mathematical than the shaggy, unkempt curves we see in turbulent water or in swirling smoke?

We live in a Romantic era of mathematics, when the wildness of random processes isn't just a respectable branch of mathematics, but part of the main trunk, close to the heart of the subject, where all the different sub-disciplines of mathematics converge and converse.

There are many reasons for this change: one of them is the electronic computer, which is responsible for all the images you'll see tonight. Like Galileo's telescope, the computer lets us explore worlds that were hitherto invisible. But unlike the moons of Jupiter, which were there before Galileo thought to look at them, the worlds of modern mathematics are to a great extent the creation of human minds, and their variety is limited only by what our minds are capable of imagining. In choosing which imaginary worlds to explore, we're guided by a desire to understand our own world, of course; and like physicists, we often create simplified worlds that capture, and teach us about, some aspect of the world we live in. But pure mathematicians are artists as much as they are scientists, so we often choose worlds based on esthetic criteria. Mathematicians vary in their ideas of mathematical beauty, but we tend to value mathematical systems that combine the classical and the baroque esthetics in a particular way: a classical simplicity in the underlying rules, and a baroque richness of the phenomena that the rules give rise to. We value surprise, and we find symmetry beautiful. So when symmetry catches us by surprise, we are especially gratified, as is the case for some of the worlds I'll show you tonight.

Usually the "worlds" of mathematics are purely conceptual worlds: through familiarity, they become vivid to a mathematician who has studied them, and can come to seem solid, even habitable. But these intuitions are very personal and usually hard to convey. This semester, MSRI has focussed on an area of mathematics that is unusually visual in nature: the study of random spatial processes. The worlds researchers like me study actually look like something, and what they look like, sometimes, are worlds. I'm here to share with you some images that illustrate what we've been up to. I call these images postcards for several reasons.

First, I don't make claims for them as art. There is such a thing as mathematical art, and it's a booming enterprise, but most of the images you'll see are more like nature photography: attempts to render something natural as accurately as possible. The fact that the natural objects being rendered are imaginary doesn't change the underlying representational intention.

Second, a postcard is something you receive from someone far away, and it's a given that getting a postcard from a place is not the same as visiting it. We mathematicians spend years learning the tools of mathematics and our reward is the opportunity to spend more years toiling in the application of those tools to problems we have come to care about; so if effort is an index of ascent, then we speak to you from underpopulated mountaintops. I am anxious to disclaim any implication that our elevation is a mark of superiority; it's just a fact about where we've chosen to go. And there is something unbridgeable, or very hard to bridge, about the distance between the mindstate of an intelligent person with no specialized knowledge and another person, possibly not as intelligent, who has spent years exploring some particular domain and acquainting himself or herself with its quirks. Indeed, for many of us researchers, the visual appeal of pictures like this is not the beauty that drives us; instead, we are driven to find beautiful trajectories of thought that let us prove that what these pictures tell us is really true.

So, I am not going to be able to tell you everything you may want to know about the images; partly because of the lack of time, and partly because of the intricacy of the backstories of some of the pictures, and partly because of limitations in my own knowledge or my limitations as an explainer. But if I succeed in making you want to know more than I can tell you, I'll judge the evening a success.

It's all well and good to invent new worlds, but without powerful ideas that tie our invented worlds together, mathematics would be in danger of splintering into a hundred hobbies, mutually well-disposed but not having a lot to say to each other. Fortunately there are unifying ideas. One that I've already talked about is the way chance at the microscale gives rise to determinism, or fate, at the macroscale. A central example of this is the Wiener process, which is what mathematicians call Norbert Wiener's idealization of Brownian motion. In the real world, the dance of pollen grains on a microscope slide has much the same sort of shagginess across many scales of magnitude, from the cellular down to the molecular. What if this shagginess looked the same at even smaller scales? In the real world this is false --- quantum weirdness is different from Brownian shagginess --- but as mathematicians we are free to imagine a world in which there is no preferred length-scale, atomic or otherwise, and Brownian motions have Brownian shagginess no matter how closely we zoom in. Turning this into mathematics was Norbert Wiener's contribution. Just as the bell-shaped or Gaussian curve gives a kind of universal law for many sorts of random quantities, the Wiener process is a universal law for many sorts of processes that evolve in time, and even when a process doesn't look like a Wiener path, it's often a modified Wiener path in disguise. For instance, the erratically changing prices seen in the stock market are well-modeled using a one-dimensional Wiener process, like a pollen-grain moving to and fro in a one-dimensional world.

Here's a final thought for you: These images aren't just postcards from other mathematical worlds. I like to think that they're also postcards from our world's future, twenty or fifty years from now, when a new generation of mathematicians, building on our work, will be able to prove things that our generation can only conjecture. Thank you for coming, and enjoy the rest of your evening here at MSRI!

The department now has an iBook available for download and viewing on an iPad**. Resources for Mathematics Students **contains information about the department, its faculty programs and courses. In addition, it has a chapter on technology in mathematics.

In this second example, the number of faces on a die varies, and the generating function to the third power is expanded: