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ADVANCED OPTIMIZATION MODELING

ISYE 623
과목 설명

Translation of problems into optimization models, including how to implement these models in relevant software. Specific topics include techniques to create models of problems with discrete decisions that can be efficiently solved by available software and modeling approaches for problems impacted by uncertainty.

선수과목
충족 요건

This course does not satisfy any prerequisites.

학점

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개설 시기

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평점
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변화 계산 불가

수료율
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변화 계산 불가

A 비율
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변화 계산 불가

학급 규모
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과거 데이터 대비 변화 없음

데이터 없음

강사 (2026 Summr)

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유사 과목

ENGINEERING SUPPLY CHAIN MANAGEMENT FOR LOGISTICS

ISYE 445

Concepts from optimization, stochastics, and statistics to model different problems in the context of logistics decision making. Application of engineering design principles in combination with mathematical modeling techniques to solve problems in supply chain design, planning, execution, and transportation.

INTRODUCTION TO OPTIMIZATION

COMPSCI/ECE/ISYE 524

Introduction to mathematical optimization from a modeling and solution perspective. Formulation of applications as discrete and continuous optimization problems and equilibrium models. Survey and appropriate usage of basic algorithms, data and software tools, including modeling languages and subroutine libraries.

SIMULATION MODELING AND ANALYSIS

ISYE 620

Introduction to simulation modeling and analysis techniques with application to production, logistics, service, and other systems. Emphasis on model building, application of basic statistical data analysis, and the use of simulation for design, evaluation, and improvement of such systems. Introduction to available software. Case studies.

OPERATIONS RESEARCH-DETERMINISTIC MODELING

ISYE 323

Basic techniques for modeling and optimizing deterministic systems with emphasis on linear programming. Computer solution of optimization problems. Applications to production, logistics, and service systems.

STOCHASTIC MODELING TECHNIQUES

ISYE 624

Techniques for modeling systems in which uncertainty is an essential factor. Emphasizes why, how and when techniques can or cannot be applied, rather than their mathematical derivation. Case studies and/or examples from such areas as logistics, production, and service industries.