We will read Hirsch, Smale, and Devaney’s 3rd edition. I really like the focus on qualitative and numerical work, the choices of lab explorations (which are tech agnostic), and the variety of motivating applications in the exercises. We’ll cover chapters 1-11, which is qualitative technique for ODEs in dimensions one, two, and three up to the Poincaré-Bendixson theorem. Then we’ll hit applications from population dynamics (ecology and epidemiology) and the Lorenz equation. I’ll spend the last week sharing the story of Poincaré’s discovery of the homoclinic tangle and chaos in the restricted 3-body problem because it is such an awesome story and such beautiful math. I’ve added a “technique of the week” component to bring in some classical material that I learned last millennium.

From the student point of view, a typical week will feel like this:

- Start Monday with a quick technique quiz (from last week), then get an overview of the main ideas of the coming material. Start reading.
- during the week, read and work exercises from the text, also read a short intro to a particular “solve by hand” technique and try some samples
- Wednesday turn in a “homework report” on the work you did in the previous week. Don’t turn in the actual work, just your report on hours worked, difficulties encountered, successes, etc. Have a class discussion about material you are finding challenging.
- Friday have more conversations about material. Every three weeks or so, turn in a lab on this day.

There are a couple of things worth noting:

- I have chosen a Mastery Grading kind of set up: Students will be allowed reassessment on the quizzes; most things will be marked for “good faith effort toward completion” and heavily commented on as preparation for the final exam.
- Everything will be pretty low stakes — leading up to a comprehensive final exam, split into an in-class portion (big picture ideas) and a take home lab assignment.
- I will have to write a really good set of specifications for that exam.
- Week Two will be a little different as we spend it in the lab playing with the tech we will use throughout the term: CoCalc, Jupyter notebooks, SageMath & Python programming, an online visualization tool for planar vector fields
- Week 15 will be story time. I don’t wanna pile new stuff on them as the try to finish up requirements and prep for the exam.

I have previously used CoCalc in some of my courses (with SageMath and Python), so those parts aren’t too scary. The new part is switching to Jupyter notebooks, and I think that is a pretty easy transition from SageWorksheets. It is very easy if I use the SageMath kernels available in CoCalc. Plus Robert Talbert has made a really nice 3-part YouTube tutorial for his students about the basics of Jupyter notebooks. (It is an easy search. You can do it.)

From my point of view, each week will have to look like this:

- Monday: Give short technique quiz. Give introduction to the main ideas of the week. Announce (remind students of) the next week’s set of assignments.
- Tuesday: Mark and record quizzes
- Wednesday: Return quizzes. Collect homework reports. Maybe work an example?
- Thursday: Read, comment on, and record homework reports.
- Friday: Return homework reports. Lead class discussion. Collect lab assignments electronically.
- On those weeks with lab assignments, I’ll be commenting on them from home over the weekend.

Of course, I have to write up all of the assignments. If I were to do it in one go, it would probably be a week or so of work. I don’t have all of that time right now, since I have to plan linear algebra, too, so I’ll just try to get the first month ready by the end of the day tomorrow. That means: 4 homework report assignments, the lab week materials, the first lab and its solution, the first 4 techniques and quizzes to assess them. If I have a little more time, I’ll write up the second lab assignment and solution.

One silly thing I haven’t thought through, yet, is that my assigned classroom is terrible. I have 8 students in a room with tiered seating (narrow fixed tables) for 65. And there is too much furniture at the front of the room: the computer equipment takes up at least half of the front of the room in a huge cabinet. I have lots of chalkboard space, but it is “student unfriendly”. I don’t know if I can move the class, but I might have to ask.

Last step before bed is resetting the course web page.

]]>- Build around Hirsch, Smale, and Devaney’s
*Differential Equations, Dynamical Systems and an Introduction to Chaos, 3rd Ed.*This is for the focus on modern dynamical and qualitative techniques (which I like). Basic coverage is chapters 1-10 (core material), 11 (basic biology models like Lotka-Volterra and SIR), 14 (Lorenz System), and then some lighter coverage of chapters 13 and 16 (I wanna tell the story of the 3-body problem and Poincaré’s discovery of homoclinic orbits). - Some Lab Explorations: use several of the activities in HSD as assignments. I think 5 of them will do, with one due every three weeks. We’ll use CoCalc as the main tech, augmented with Field Play. Lab assignments are to be peer graded.
- Week Two is all about using that technology. We spend the week in a computer lab learning the tools and getting the first lab written up.
- Weekly “homework reports.” Instead of asking for a homework assignment that has to be marked seriously for correctness and returned, I’ll just ask for a report on what kind of work that the student did during the previous week on the assigned reading/exercises/etc. This course is full of more advanced students, so I feel it is appropriate to move this responsibility onto them. (I took this idea from Joshua Bowman.)
- An extra assignment for the grad student(s) to read and report on the proof of the Fundamental Existence and Uniqueness Theorem.

- A (nearly) weekly “technique” assignment. The last iteration of this course didn’t have quite enough work on important, well-known techniques for solving systems by hand. So, I’m going to add some. These won’t happen every week, because at some points we will have new linear algebra to learn, etc etc. Anyway, the new topics are: separable equations; homogeneous equations; exact equations; integrating factors; linear equations; numerical methods (Euler and RK45); Picard’s method; power series methods (easy ones); Laplace Transform; Fourier Transform.
- A weekly “techniques quiz.” This will be a one item, 5-7 minute quiz on each Monday to check up on the techniques in a simple way.
- Split the Final Exam into an “in-class” and a “take-home” portion. The in-class version is on Monday of finals and will ask big-picture questions. The take-home part will be like one of the lab experiments, aiming for summation of ideas.
- Maybe I’ll switch to using Jupyter notebooks rather than Sage worksheets? I have to think about it. Maybe that is too much for this iteration.

If I have all of this right, the cycle of work will be something like:

Monday – technique quiz, TJ preview of material

Wednesday – homework report, class discussion

Friday – labs due (sometimes), class discussion

Tomorrow I’ll revise last year’s syllabus to reflect the changes. Then I’ll start writing the assignments and assessments out, update the course web page, and set up CoCalc for the term. (It might take till Monday or Tuesday to get all of that done.)

]]>There is nothing truly *new* in my planning for that course, except that I have decided to add a little extra communication with students about their progress via an email every three weeks. I didn’t write this into the syllabus, but I plan to do it. These emails shouldn’t be too big a burden because the class only has 10 students enrolled. (I hope no one drops, because that is the minimum required before the Dean and Provost start making noises.)

Oh, and I reread Tim McNicholl’s *The Extreme Moore Method*. It is just as a I remember it. Still feels like home. One of my challenges will be making linear algebra and differential equations feel as comfortable.

Now for a little break, and then move on to differential equations. I hope to have that one done by tomorrow afternoon.

]]>This term I am teaching three courses:

- Differential Equations
- Euclidean Geometry
- Linear Algebra

Classes start on August 20th, which is less than two weeks away. I hope to have plans made and syllabi constructed by the end of this week. That is unlikely, of course, but I bet I can have two done and make a good start on the third by Friday afternoon.

Since building early successes is important for one’s mindset, I am going to start with easy tasks and work toward the harder one. Here is what I have to do:

- Re-read Tim McNicholl’s paper on the Extreme Moore Method, which was an important part of my conversion experience to IBL teaching. I want to get re-energized to make decisions based on my core beliefs. Since I last read the paper about 10 years ago, I might find out that some of my core beliefs have shifted. That’s okay, and it will be important to find out.
- Plan Euclidean Geometry and reset it for this term. I am making no major changes, so this should “go fast.” But I should at least think it through again.
- Plan Differential Equations. I don’t have time to make big changes in this one, though I would like to. At the moment, I am thinking about adding a “technique of the week” component. Currently the course is focused on numerical & qualitative work, and I want to put in just a little bit more of “this is how you find a solution to an ODE by hand.” I also hope to switch the technological components to using Jupyter notebooks instead of Sage Worksheets. (I am still using CoCalc as a platform.)
- Plan Linear Algebra. This is the big one. I have so much to rethink and redo. I’ll say more when it is time.

So, if you get excited about the details of trying to teach college math courses, follow along in the next few days.

]]>We are now in the fifth week of the semester here at UNI, and my linear algebra class has been doing lots of tasks about the geometry of **R**^{2} and **R**^{3}, especially those things that help us understand how to think about vectors, lines, planes, and the dot product in situations where we have a chance to draw the picture. Things have been getting steadily more challenging, and the tasks for this week are hard for them. For example, a task that made everyone unhappy today was this:

Consider the line in

R^{3}given by the parametric equation

t → (-6,-2,1) + t(3, -1/2, 1).

Find the point on this line which is closest to T = (1,1,1).

That uses everything we have learned so far, and requires a little bit of thinking about the geometry. It is a great task. It was one of seven I asked them to do for today. (It was probably the hardest one.)

But Friday is the first exam.

I should have thought a little more carefully about this. I have lots of young students, and I have actually set things up in a way to make them more anxious than need be just before the exam. I set a trap for all of us, and then led the whole class into it with a big grin on my face.

Also, I am writing all of the materials myself. This means that if the students feel anxious and are having trouble with the text, that is my fault, too. There is no faceless textbook author to be grouchy at. I can’t be the friendly guy who saves them from the confusing writing.

We had a short chat in class, and I sent them a longer message by email after I had a chance to reflect. I HOPE that I have helped calm their fears a bit. Time will tell.

I am going to have to think more carefully about how I structure things when I edit and revise for next term.

]]>I am working on my linear algebra books. “What’s that?”, you say, “You are writing books, plural, for a course?” Yes. I have taught linear algebra many times in the last few years, and I finally felt dissatisfied enough with my old materials and prepared enough with my ideas about the course to write everything from scratch. So, I am writing these:

- A primer, or reader, which discusses the basics of linear algebra but sticks entirely to the plane and 3-space.
- A workbook, which has a sequence of tasks I can use to run an IBL course.

My basic model for this is how I run my Euclidean Geometry course. I have the students read Euclid’s *The Elements* Books I-IV, and I have designed a sequence of tasks to go with that. The idea is to treat *The Elements* as the existing research literature, and then pose ‘research questions’ which drive the students to understand the material and learn to do math on their own. In geometry, we are working on proof-writing, definition-making, and conjecturing. This works great.

I want to copy the model for linear algebra, so I need something to replace *The Elements*. So I am writing it. I am trying to use the old-fashioned, discursive style that you would find in math texts pre-WWII, too. The text is much more a narrative, and avoids the now-standard “Defn-Thm-Proof” setup. Definitions and results pop up as we find them.

So, now I am about 75% of the way through writing chapter one, and I am past deadline for getting this to my students. They have the first half of the chapter, which got us through yesterday. I had hoped to give them the second half to read last night… and I failed.

My current sticking point is making a transition from talking about norms, angles, and the dot product in the plane, to talking about the equation of a line through the origin. I have written the start of three different versions today, and been happy with none of them. So, I am going to take a break and start again in about an hour.

Maybe I’ll read the copy of Math Horizons that just arrived.

ps. If you want to follow along with my crazy experiment, I use github. The files are here.

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