Schedule of the Week
Date |
Time |
Item |
Place |
Material |
| Tue, Feb 24 |
13:30–14:30 |
Office hours (Thomas) |
A5, 6, B 220 |
|
|
15:30–17:00 |
Office hours (Domantas) |
A5, 6, B 226 |
|
|
15:30–17:00 |
Office hours (Lisa) |
Zoom |
|
| Wed, Feb 25 |
8:30–10:00 |
Lecture |
A5, 6, B244 |
|
|
12:00 |
Homework 2 is assigned |
Github |
|
|
23:59 |
Homework 1 due |
Github |
|
| Thu, Feb 26 |
10:15–11:45 |
Lab (Domantas) |
B6, 23-25, A 102 |
|
| Fri, Feb 27 |
10:15–11:45 |
Lab (Lisa) |
A5, 6, B143 |
|
Study Notes
We will wrap-up our discussion of the linear
model in matrix form and do some applications with
probability distributions to get more familiarity with them. The core reading will be chapter 1 and 3 from
King (1989). Furthermore, a nice overview about probability
theory and particular probability distributions (which was
also covered last semester) is provided by Moore and Segal (2013).
Note for further reading I also provide John Fox’s appendix in its entirety. If
you want to read more about linear algebra take a look at
his treatment in Appendix B. It includes nice examples and
graphs that provide some more intuition. Also check out sections D.1–D.5 if you prefer additional reading on
probability distributions.
Readings
|
|
|
|
King, Gary. 1989. Unifying Political Methodology. Ann Arbor: University of Michigan Press. Chapter 1+3. |
Required |
|
Moore, Will H., and David A. Siegel. 2013. A Mathematics Course for Political and Social Research. Ann Arbor: Princeton University Press. Chapter 9. |
Required |
|
Moore, Will H., and David A. Siegel. 2013. A Mathematics Course for Political and Social Research. Ann Arbor: Princeton University Press. Chapter 10. |
Required |
|
Moore, Will H., and David A. Siegel. 2013. A Mathematics Course for Political and Social Research. Ann Arbor: Princeton University Press. Chapter 11. |
Required |
|
Fox, John. 2007. Applied Regression, Generalized Linear Models, and Related Methods, 2 Edition, Thousand Oaks, CA: Sage. Appendix B+D |
Required |