General info
 class meetings: MR 3:304:20, T 4:305:20, HH 305
 lab meetings: Th 10:3011:20 (BSB 244 and 241)
 background & interests survey (due Thurs Sep 7 by 9 AM)
Lecture notes
 class 12: general modeling issues
 class 3?: ULDD models
 class 5?: UNDD models
 cobweb code, bifurcation code, cobweb notebook
 MLDD models
 MLDD models 2 (structured and Markov models)
 MNDD models part 1, part 2
 ULCD models
 UNCD models
 2D ode examples
 chapter on prob distributions etc.
Labs
 lab 1
 HW 1 template
 LaTeX basics
 lab 2
 teasel (lab 3)
 transgraph module
 forest data set (
horn.pkl
)  HW 2 template
 discretetime LotkaVolterra
 absorbing states
 1dimensional ODES (U*CD models)
 HW 3 template
 3dimensional ODEs
 HW 4 template
 stochastic stuff
 HW 5 template
Project stuff
 Project proposal example ( Python notebook, PDF)
 Project topics
 Project expectations/rubric
 stuff on structured matrices from appendix II of May 1973 Stability and Complexity in Model Ecosystems>
 notes on credit scoring from Lozinski and Grasselli
 notes on the next generation matrix
Practice problems
 Midterm (problems, problems with (most) solutions)
 midterm solutions
 sample questions for the final exam (version with solutions)
Computer stuff
Resources
 Computer Science Circles (Waterloo)
 math 1mp web site
Software installation
 conda install graphviz
 conda install pythongraphviz
Download the 64bit Python 3.6 installer from the anaconda installation page (click on the icon corresponding to your operating system); use it to install Python+Jupyter notebook.
 Windows
 Windows install notes: follow defaults/recommended choices, including (1) install for "just me"; (2) Install Anaconda to a directory path that does not contain spaces or unicode characters.
 MacOS
 Download the test notebook; put it somewhere you can find it.
 Now open the Anaconda Prompt from the Start Menu (Windows) or Launchpad (MacOS) and select Jupyter Notebook.
 Navigate and open the test notebook.

Select
Kernel/Restart & Run All
 If that seems to work (no error messages), congratulations ...
Random notes
These are notes on somewhat tangential topics, or going deeper than the main course material (i.e., they won't be on the exam, they're for interest only).
 modeling and philosophy
 chaos
 Course outline (HTML)
 Schedule (HTML)
 Forum/issues