Transcription of Introduction to Stochastic Optimization - ise.ufl.edu
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Introduction to Stochastic Optimization , ESI 6341 Page 1 Prof. Stan Uryasev, Fall 2018 Introduction to Stochastic Optimization ESI 6341 Section 2717 Class Periods: MWF, period 6 (12:50 PM - 1:40 PM) Location: LAR 0239 Academic Term: Fall 2018 Instructor: Stan Uryasev (352) 213-3457 (cell) Office Hours: Weil 446, TBD Teaching Assistants: Please contact through the Canvas website Charles Hernandez Office Hours: Weil 406, TBD Course Description (3 credits) Introduction to Stochastic Optimization is intended as a first introductory course for graduate students in such fields as engineering, operations research, statistics, mathematics, and business administration (in particular, finance or management science). Course Pre-Requisites / Co-Requisites Basic knowledge of calculus, statistics, and linear programming. Course Objectives The objective of the course is to help students build knowledge and intuition in decision making under the presence of uncertainties, including: 1) Modeling of uncertainties; 2) Changes which uncertainties bring to the decision process; 3) Difficulties related to incorporation of uncertainties to Optimization models; 4) Identifying of solvable problems.
(3 credits) Introduction to Stochastic Optimization is intended as a first introductory course for graduate students in such fields as engineering, operations research, statistics, mathematics, and …
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An Introduction to Stochastic Epidemic Models, Introduction, Stochas-tic, Stochastic, AN INTRODUCTION TO COMPUTATIONAL STOCHASTIC, AN INTRODUCTION TO COMPUTATIONAL STOCHASTIC PDES, An Introduction to Stochastic PDEs, An Introduction to Stochastic Unit Root, Introduction to probability models, An introduction, Introduction to Stochastic Programming, Stochastic Programming: introduction and examples, Introduction to Stochastic Processes MATH, INTRODUCTION TO STOCHASTIC PROCESSES. MARKOV