Day | Date | Activity | Assignment (due one week from assignment date, unless otherwise stated) |
Mon | 1/13 | Welcome/Intro | For next time: give me your one-pager on which athlete
has the better right to be acclaimed champion cross-country runner:
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Wed | 1/15 | Cross Country Competition | Discussion of our preliminary work, and move to a plan. Homework: Carry out the plan that we devise today. Provide a one page summary of your decision on Friday. |
Fri | 1/17 | Cross Country Competition -- the end! | Let's see what we've done... For Wednesday, please read Riegel's paper, and prepare to discuss it. |
Mon | 1/20 | MLK Day | No Class! Already? Enjoy! |
Wed | 1/22 | Empirical Modeling: Linear Regression -- fitting a line | For next time: please read the final report of
the cross country problem. Then for Monday,
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Fri | 1/24 | A linear regression challenge | Please read over the Bestiary of
functions, from Ben Bolker's Ecological Models and Data in
R (for Monday). Note in particular the reasons for using these particular functions as
models for different phenomena. You might want to add this to your notebook, in
case you might find it useful on an exam.
For Friday, 1/31: your group will write a three-page report (or so), typed, on Dave's stick: what is it, and why is it marked the way it is? You should be able to reconstruct any marking on the stick. |
Mon | 1/27 | Regression: The basic problem, and misadventures |   |
Wed | 1/29 | Univariate and Multivariate Derivation, continued |   |
Fri | 1/31 | Linear Regression derivation | Use the Stewart version of the
Keeling data (it's available in that Mathematica
file) to
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Mon | 2/3 | Linear Regression Derivation | Your next group projects (due Wednesday, 2/19 -- revised):
Using the most recent Keeling CO2 data, and using linear regression,
You can see some of the 10 foot markings on this scanned image, to verify your calculations.
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Wed | 2/5 | Linear Regression Diagnostics |
Due Monday, 2/10:
We need to evaluate our work. For the project ("Dave's Stick"), please hand me one to two pages, typed, and which will be kept strictly anonymous (i.e. no one else will ever see it):
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Fri | 2/7 | Linear Regression Diagnostics |   |
Mon | 2/10 | Linear Regression with non-linear curves |   |
Wed | 2/12 | Linear Regression with non-linear curves |   |
Fri | 2/14 | Climate Strike | No class |
Mon | 2/17 | Work on Keeling Project |   |
Wed | 2/19 | Review |   |
Fri | 2/21 | Midterm 1 |   |
Mon | 2/24 | Major project outline |
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Wed | 2/26 | Non-linear modeling |   |
Fri | 2/28 | Non-linear modeling II |
Please revise your Keeling reports (due next Friday). I
want to feature one
report to give you an idea of some things that
I'd like you to shoot for....
Please also include confidence intervals for amplitude $A$ and phase $t_0$. I'll grade based more on the final paper than on the original.
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Mon | 3/2 | Non-linear regression |
Homework (due Friday):
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Wed | 3/4 | non-linear Corn Growth and ODEs |   |
Fri | 3/6 | Hare and Lynx: Tyson, et al. |
Suppose that there is no climate change for Wood County. Then what would we expect of our data?
If the globe were warming, then one thing we concluded is that we should see more MaxMax years-of-occurence on the recent side (toward 1992), and fewer on the earlier side (toward 1854). So in order to test a null hypothesis of "No climate change" against an alternative of "Global warming", we could test the distribution of MaxMax years-of-occurence by decades, and see if it's uniform: all decades are the same. Please do the following (on your own, but feel free to share ideas and results within your group):
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Mon | 3/09 | Spring Break |   |
Wed | 3/11 | Spring Break |   |
Fri | 3/13 | Spring Break |   |
Mon | 3/16 | Spring Break (imprevu) |   |
Wed | 3/18 | Spring Break (imprevu) |   |
Fri | 3/20 | Spring Break (imprevu) |   |
Mon | 3/23 | Hare and Lynx: Tyson, et al. | Your assignment concerning the major project is due today.
Carry out labPP.html, and submit the results to me by Wednesday, 3/25.
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Wed | 3/25 | Hare and Lynx: Tyson, et al. |
Carry out labPP2.html, and submit the results to me by Friday, 3/27.
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Fri | 3/27 | Some readings for the Fletcher project. |
Your homework is described in the day's agenda, day26.
Due Monday, 3/30! |
Mon | 3/30 | Hare and Lynx: Tyson, et al. | Your lab is due on Friday, 4/3. |
Wed | 4/1 | Temperatures of Wood County and climate change | Homework: by Friday, reproduce the figures as requested in the day 27 agenda. |
Fri | 4/3 | SIR models: Coronavirus | Please do the first lab in our SIR modeling unit by Monday, 4/6. |
Mon | 4/6 | SIR models: Flattening the Curve | Please do the second lab in our SIR modeling unit before Friday, 4/10: i.e., due Thursday, 4/9. |
Wed | 4/8 | Back to the Fletcher project, for a catch-up. | Your homework is laid out in the day's agenda (due Monday, 4/13). |
Fri | 4/10 | SIR models: Coronavirus in Italy | Please do the second lab in our SIR modeling unit before Friday, 4/10: i.e., due Tuesday, 4/14. |
Mon | 4/13 | Summary and review of SIR and predator/prey models | Take a listen to the summaries of the labs, and look over the "keys" that I've provided for othem. These are in the day32 agenda. |
Wed | 4/15 | Review |   |
Fri | 4/17 | Midterm 2 |   |
Mon | 4/20 | Temperatures of Wood County and climate change | I've given you some problems to work on in today's agenda. These are not formal assignments, but I'm hoping that someone can come up with something.... |
Wed | 4/22 | Temperatures of Wood County and climate change | I've given you some homework in today's agenda (due Sunday night). Nothing big. |
Fri | 4/24 | Temperatures of Wood County and climate change |   |
Mon | 4/27 | Temperatures of Wood County and climate change | Presentations |
Wed | 4/29 | Review |   |
Fri | 5/1 | Review |   |
Mon | 5/4 | Final | 8:00 am |