COURSES TAUGHT
INDR 202 : ENGINEERING ECONOMICS (Spring 2013-14)
The course introduces the fundamental concepts and methods of economic analysis in engineering, including the time value of money and its effect on economic decisions, economic equivalence, economic measures of worth, cash flow analysis, depreciation, taxation and inflation, replacement decisions, and benefit-cost analysis.
INDR 343 : STOCHASTIC MODELS (Fall 2014)
The course covers the basic stochastic models used in operations research, management sciences and industrial engineering. Markov processes, queues, inventory models, and Markov decision chains are discussed in detail together with their applications.
INDR 344 : MODELING AND SIMULATION (Spring 2017-2020)
The course introduces discrete-event simulation for analyzing the operations of complex dynamic stochastic systems. It offers an overview of the techniques used in various stages of simulation modeling, namely input analysis, verification and validation, and output analysis, along with random-number and random-variate generation techniques.
INDR 430 - 530 : DECISION ANALYSIS (Fall 2013-2019)
The course provides an overview of the tools, techniques, and skills needed to analyze decision-making problems characterized by uncertainty, risk, and conflicting objectives.
INDR 471 : SERVICE OPERATIONS ANALYSIS (Spring 2013-14)
The course starts with a discussion of the similarities and distinctions between service and manufacturing operations. It introduces Data Envelopment Analysis as a method to measure and benchmark productivity in service systems. It addresses several questions regarding capacity management and design in services by using queueing theory. The techniques are illustrated in a variety of contexts including call centers, financial services, and health care.
INDR 450 - 550 : SELECTED TOPICS IN INDUSTRIAL ENGINEERING (Fall 2012)
The course explores the role of risk attitude in strategic decision making under uncertainty. It investigates optimization and game-theoretic models that incorporate decision makers' risk attitudes into the decision model. It focuses on applications in engineering, economics and finance, health care, measures against natural and strategic disasters.
INDR 450 - 550 : SELECTED TOPICS IN INDUSTRIAL ENGINEERING (Spring 2015)
The course explores the basic concepts and the analytical tools of game theory with emphasis placed on their applications to business and societal issues. The applications of interest include the management of supply chains and queues, finance, and the development of healthcare, education, and taxation policies. Discussion of the alternative mathematical models in each application area is based on recent work published in scientific journals.
INDR 503 : STOCHASTIC MODELS AND THEIR APPLICATIONS (Fall 2016-2019)
This graduate-level course defines and analyzes the basic stochastic models that are commonly used in operations research and management sciences. The course starts with a review of probability and random variables, introduces and discusses the properties of conditional probability and expectation, discrete-time Markov chains, the Poisson process, and continuous-time Markov chains. The emphasis is on both the mathematical analysis of these processes and their applications (e.g., in inventory management, service systems, finance and biology).
INDR 513 : ADVANCED STOCHASTIC PROCESSES (Spring 2015)
This graduate-level course covers modeling, analysis and applications of several advanced stochastic processes used in various fields of science and engineering. Topics include discrete-state-space Markov processes, renewal processes, Wiener processes, Brownian motion, martingales, and stochastic calculus. While developing the theory, the course will explore its applications to queueing, inventory management, reliability, and finance. The course is designed for graduate students in engineering, management, and science whose research involves stochastic models.