ASRM 499

Fall 2023 All Classes

All Classes

Topics in Actuarial Science

SHOW FINAL EXAM SCHEDULE

Credit: 1 TO 4 hours.

Covers special topics in actuarial science.

1 to 4 undergraduate hours. 1 to 4 graduate hours. Approved for Letter and S/U grading. May be repeated. Prerequisite: Consent of instructor.

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ASRM 499 class schedule data for fall 2023
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	77131	Lecture-Discussion	UDL	9:30AM -10:50AM	TR	1068 Lincoln Hall	Sowers, R	Part of Term: 1 Date Range: 08/21/23-12/06/23 Credit: 3 hours Section Title: Deep Learning for Fin & Ins Section Info: Mathematical foundations of deep learning and design of deep learning algorithms for practical applications. Topics include linear, logistic regression, backpropagation, stochastic gradient descent, forward neural networks, recurrent neutral networks, reinforcement learning, etc. Examples will be drawn from real datasets in financial and insurance applications. Prerequisite: ASRM 401 or STAT 400 or MATH 461 Restriction(s): Restricted to Mathematics or Actuarial Science or Math & Computer Science major(s).
	78220	Lecture-Discussion	UFT	11:00AM -11:50AM	MWF	156 English Building	Liu, P	Part of Term: 1 Date Range: 08/21/23-12/06/23 Credit: 3 hours Section Title: Financial and Insurance Tech Section Info: The course will provide an introduction to the foundation and industry trends of financial and insurance technology. It offers an overview of the FinTech and InsurTech ecosystems, various innovations in digital banking, trading and insurance. The course provides elementary reviews of technical foundations, such as "big data", textual analysis, blockchain, cryptocurrencies and disruptive business models. If time permits, regulatory challenges in FinTech and InsurTech shall be also discussed. Restriction(s): Restricted to Mathematics or Actuarial Science or Math & Computer Science major(s).