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Fall 2021
6372 Analytic Methods for Lawyers - CHANDLER- 27110

Professor(s): Seth Chandler (FACULTY)

Credits: 3

Course Areas: Business and Commercial Law 
Law And Society/ Interdisciplinary

Time: 10:30p-12:00p  MW  Location: 119  TUII

Course Outline: This course will expose students to a diverse set of contemporary computational skills that should prove useful in understanding law, expert testimony, and the latest in legal technology. Areas addressed in this survey will include (1) statistics and statistical testing, including the meaning of p-values, statistical power, various forms of regression, and how to depose a statistical expert; (2) useful (and useless) visualizations of data, including production of demonstrative evidence for courts; (3) a study of machine learning, including supervised and unsupervised learning, explainability (XAI), fairness (FairML), and the potential for adversarial attack; (4) computational linguistics and language models, which are basically the application of statistics and machine learning to textual data; and (5) how to do programming in each of the above areas using Wolfram Language. Knowing how to use these techniques yourself, collaborate in the use of them with experts in cases or consultants in management, or counter use of these skills by a litigation adversary, will be increasingly critical for lawyers (and citizens) of the not-distant future. Students in doubt about the importance of this area may wish to look at https://cnb.cx/2IxRWqL to see the views of the CFO of Goldman Sachs.

There is virtually no traditional reading for the course. Instead, students will work through an integrated set of materials consisting of (1) about 40 hours of video (on YouTube) produced by the instructor; (2) view about 50 "Computational Essays" that correspond to the videos; and (3) do exercises that reinforce concepts from the video and programming techniques. Classes will consist mostly of providing opportunities to ask questions regarding the materials, including the exercises. No programming background is assumed for this course. The best way to assess whether you will benefit from this course is to watch a video or two here. https://youtube.com/playlist?list=PLlQmkiO06VxAdiCK1C1iYMVriLz_UuNba Watch one of the earlier ones and one of the later ones. It shows where you start and where you end up. If it seems interesting, take the course. If it seems scary, try the course. If it seems incomprehensible, take something else.

Course Syllabus: Syllabus

Course Notes: DistanceEd  The instructor for this course has expressed a preference to operate the course as distance education. This means no physical classroom is assigned for this course. This also most likely means synchronous internet videoconferencing class sessions during the day(s) and time(s) when the course is scheduled to meet. However, other, more flexible modalities are possible, such as not using some of the scheduled class sessions to meet but instead supplementing with asynchronous distance education techniques. More details should be made available from the instructor via their syllabus or via other means as the start of the semester nears.

Quota = 15.

Prerequisites:  

First Day Assignments:

Final Exam Schedule: 12/13 9am-12pm  3 BLB    

This course will have:
Exam:
Paper:


Satisfies Senior Upper Level Writing Requirement: No

Experiential Course Type: No

Bar Course: No

DistanceEd ABA 306:

Pass-Fail Student Election: Unavailable (Instructor Preference)

Course Materials (4/5/2021 6:00:42 PM)

No book required for this course