Quantitative Methods for Lawyers Course

Fall 2014 Quantitative Methods for Lawyers Course
Professor Daniel Martin Katz
Michigan State University – College of Law

(1) Office Hours :  3:00-4:00 Monday  in  230F Law College Building (or by Appt.)

(2) Syllabus for Fall 2014 – Quantitative Methods for Lawyers Course
(V1.01)

(3a) Simulation Assignment

(3b) The Eyewitness Identification Study

(4) Teams for the Simulation (Now Available)

(5)  Slides from Class #1

(6)  Slides from (Class #2)

(7)  Slides from (Class #3)

(8)  Slides from (Class #4)

(9)  Slides from (Class #5)

(10)  Slides from Class #6

(11)  Slides from Class #7 

(12)  Notes Packet on Scientific Evidence
(Read this for Monday — Class #8)

(13) No Slides from Class #9 – Watch Cross Examination Video

(14)  Slides from Class #10

Class10

(15)  Slides from Class #11

Class11

(16)  Slides from Class #12 

Quantitative Methods for Lawyers Class 12
(17)  Watch Video Professor Daniel Katz @ Stanford CodeX  (Class #13)
https://www.youtube.com/watch?v=P8uMYSMwuHY

(18)  Slides from Class #14

Screen Shot 2014-10-13 at 1.25.02 PM

(19)  Slides from Class #15

(20)  Problem Set #1 (Distributed Oct. 15)

(21)  Slides from Class #16

Class 16

(22)  Slides from Class #17

CLASS 17

(23)  R Bonus Module (Load R and R Studio for Monday)

rbonus

(24a)  Slides from Class #18

Screen Shot 2014-10-28 at 9.58.48 AM

(24b) R Bonus Module (More Resources, Data Cleaning)

Screen Shot 2014-10-28 at 3.04.00 PM

(25)  Slides from Class #19

Screen Shot 2014-10-28 at 10.13.25 AM

(26)  Slides from Class #20

Class#20

(27)  Materials from Class #21 (Wednesday Module)
Screen Shot 2014-11-03 at 9.24.29 PMPlease download, unzip the File, Load the .html or .rmd file –
then please replicate each step while looking up any unknown commands


(28)  Slides from Class #22

Screen Shot 2014-11-10 at 10.27.46 PM


(29)  Problem Set #2
  (HPrice Dataset)



(30)  Slides from Class #23


(31)  Final Assignment

Screen Shot 2014-11-17 at 11.19.10 AMVariable Labels


(32) 
Eyewitness Identification Simulation – Class #24 – NO SLIDES

(33)  Slides from Class #25 (Online Module)


(34)  Slides from Class #26


(35)  Problem Set #3


(36)  Slides from Class #27


(37)  Slides from Class #28