6372 Analytic Methods - CHANDLER- 25180
Seth Chandler (FACULTY)
Course Areas: Business and Commercial Law
Law And Society/ Interdisciplinary
Time: 2:30p-4:00p MWLocation: 104-E TUII
Course Outline: This course satisfies the practice skills requirement. In a recent Harvard survey, lawyers at major firms ranked Analytic Methods as one of the most valuable skills for new attorneys. This course meets that demand by developing students’ skills in analytic methods likely to be used in the practice of law. There is a heavy emphasis on use of computer programming via a spreadsheet (Excel/Google Spreadsheets), a public domain language (R), and a proprietary language (Mathematica) to relieve students from the burdens of computation while emphasizing the fundamental concepts as well as analysis of more complex problems. This is a hands-on course in which the instructor will substantially use videos to supplement readings outside the classroom and dedicate the classroom significantly to live experimentation designed to foster the skills of the student in conducting not only basic data analysis by themselves but also to help a new lawyer to work with (or cross-examine) experts in these fields who may appear in transactions involving tax, corporate matters, discrimination lawsuits, family matters and many other arenas. The substantive areas emphasized will be (1) statistics/machine learning, which is often useful in analyzing data and examining expert witnesses; (2) decision analysis and game theory, often used both by business people and useful to lawyers making strategic decisions; (3) finance, frequently used in transactional law as well as litigation; and (4)”big data” (both textual and numeric), including its management and analysis.
Course Syllabus: Syllabus
Course Notes: Quota = 12. THERE WILL BE NO BOOK FOR THIS COURSE.
PLEASE BE ADVISED THAT THIS CLASS WILL BE HELD IN PROF. CHANDLER'S OFFICE, TEACHING UNIT II, ROOM 104E, IN THE HEALTH LAW & POLICY INSTITUTE SUITE.
Prerequisites: Students who are mathphobic or who have not performed well in math classes should not enroll in this course without discussing the matter with the instructor. Some computer programming experience is also useful background, with knowledge of R, Java, C, Lisp, XML (not really a language), Maple, Mathematica or Matlab particularly helpful. No knowledge of any of these languages is assumed.
First Day Assignments:
Final Exam Schedule: 12/08 1pm-4pm
This course will have:
Satisfies Skills Course Requirement: Yes
Satisfies Senior Upper Level Writing Requirement: No
Course Materials (3/24/2014 2:49:24 PM)
No book required for this course