Spring 2023 Enterprise Risk Management PS5350 section AU1

INTRO TO QUANTITATIVE RISK MANAGEMENT

INTRO TO QUANTITATIVE RIS

Call Number 18454
Day & Time
Location
R 6:10pm-8:00pm
OTHR OTHER
Points 0
Grading Mode Ungraded
Approvals Required None
Instructor David Weltz
Type LECTURE
Method of Instruction In-Person
Course Description

Students without a strong math background will require significant additional time and effort to achieve the learning objectives and work through the course assignments. This course builds a foundation in the mathematics and statistics of risk management. Students are empowered to understand the output of quantitative analysts and to do their own analytics. Concepts are presented in Excel and students will have the opportunity to practice those concepts in Excel, R or Python. This course is a required prerequisite for registering for the following courses: Financial Risk Management, Insurance Risk Management, ERM Modeling.

Web Site Vergil
Department Auditing
Enrollment 1 student (1 max) as of 10:06AM Sunday, April 28, 2024
Status Full
Subject Enterprise Risk Management
Number PS5350
Section AU1
Division School of Professional Studies
Campus Morningside
Note AUDITING STUDENTS ONLY; SEARCH NON-AUDITING SECTION IN DOC
Section key 20231ERMC5350KAU1