SCHEDULE CMSE 801

Course schedule

Below is the approximate timeline for the course. Please note that everything is subject to change, but all changes will be announced on the slack channel as necessary.

Date	Course Day	Topics	Homework
M Jan 8	1	Class expectations, Ice-breaker, Algorithms
W Jan 10	2	Intro to Python, Order of Magnitude Modeling
M Jan 15		MLK Day, No class
W Jan 17	3	Lists and Loops
M Jan 22	4	Boolean Logic, If Statements, Functions	Release HW 1 (due Feb 9)
W Jan 24	5	Functions
M Jan 29	6	Python Modules (Math, Plots, Numpy)
W Jan 31	7	Practice w/ NumPy
M Feb 5	8	Introduction to Ordinary Differential Equations	Quiz 1 / HW 2 (due Feb 19)
W Feb 7	9	Modeling with Ordinary Differential Equations
M Feb 12	10	Compartmental Modeling
W Feb 14	11	Compartmental Modeling
M Feb 19	12	Pandas Data Analysis Library	HW 3 (due Mar 8)
W Feb 21	13	Pandas and Seaborn	Quiz 2
M Feb 26		Spring break, no class
W Feb 28		Spring break, no class
M Mar 4	14a	Regression
W Mar 6	14b	Regression
M Mar 11	15	Autoregression
W Mar 13	16	Data Visualization	Project Proposals\(^*\), HW 4 (due Mar 29)
M Mar 18	17	Numpy Arrays in 2D
W Mar 20	18	Agent Based Modeling	Quiz 3
M Mar 25	19	Agent Based Modeling
W Mar 27	20	Object Oriented Programming
M Apr 1	21	Object Oriented Programming	HW 5 (due Apr 12)
W Apr 3	22	Random Numbers
M Apr 8	23	Project work day, Present Drafts to Group	Quiz 4
W Apr 10	24	Monte Carlo Methods
M Apr 15		Project Presentations
W Apr 17		Project Presentations

$^*$ the project proposal is part of the day 16 pre-class assignment\

Office Hours and Help room calendar

Help room hours and locations for all CMSE 801 Instructors and TA can be found in the events on the following calendar.