Industrial Engineering & Operations Research, IIT Bombay
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Instructor: Jayendran Venkateswaran <jayendran [at] iitb.ac.in>
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Office: ME 319
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Class Meeting hours: Slot 8 (Mondays and Thursdays 14.00 - 13.25)
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Venue: ME207
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Course Syllabus This course will cover a few advanced topics and recent developments in stochastic simulation of complex systems, and efficient simulation based decision making methodologies.
Topics include: Advanced random number generation/testing, advanced input/output analysis, bootstrapping, advanced variance reduction methods, importance sampling, optimal computing budget allocation, rare-event simulation, Agent Based Simulation, Monte Carlo Markov Chains, System Dynamics methodology, distributed & parallel simulation, validation and verification, meta modelling, design of simulation experiments, stochastic optimization using simulation, and other state-of-the-art techniques and methods in simulation.-
The specific plan for the semester will be discussed in class during the first week.
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Prerequisites
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IE 603; Good knowledge of basics in modelling and simulation based analysis of discrete event systems is expected.
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Other Information
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This course will be an advanced version and extension to the course IE603. It is primarily intended as a post graduate course for students pursuing research in the area of simulation modelling and analysis.
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For PhD students this course should be helpful with their research work; and for MTech students, this course will help them understand what research is about.
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The course will include the regular lectures, assignments, study of current literature and a research project.
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All general class announcements, lecture notes, homework, discussions, etc will only be accessible via IITB Moodle pages.