Nomesh Bolia, Asst Professor, Mech Engg Education B-Tech, Mechanical Engg IIT Bombay PhD, Operations Research, UNC Chapel Hill Experience Asst Business Analyst, Infotech Financial Pvt Ltd Jr Research Fellow, TIFR Interests Research: Stochastic Modeling, Supply Chains, OR Others: Adventures, Trekking, Biking, Reading Class Intro: Name, dept-yr/hostel, Stats, why this class?
Lectures: 80 mins: 5.00-6.20 PM every Tuesday, Wednesday @ III, 374 Emphasis on problem solving (numericals, proofs) in class Beginning of classes (10 mins): Applications, presentations by students (5% for this), starting next week Practical: Only Weekends: Aug 25, Sep 22 (both Saturdays) – might need to change due to unforeseen circumstances Will involve solving problems, making simulation models (using software or otherwise); presenting progress on paper
Minor I – 10 % Minor II – 10 % (cumulative) Major – 20 % (cumulative) Surprise Quiz + Lab Part. + Project/paper + class participation: 60 (20+20 + 15 +5) 4-5 surprise quizzes Paper presentation details below Paper Presentations + report (summary of paper): Choose papers from journals.informs.org (Interfaces, others) Teams of 2-3 Decide papers before minor I (EOD Aug 31 st ), else penalty of 5% Work on it, present it after minor 2 according to schedule to be displayed, submit electronic report by Sun Nov 11 th ) Half a class of Presentations for each group@ end: Schedule of presentations TBA (25 min + 10 mins Q&A) Paper presentations can be substituted by projects in exceptional cases, the schedule remains the same
Variety of sources Probability: Sheldon Ross (An Introduction to Probability Models) Vidyadhar Kulkarni (Modeling, Analysis, Design and Control of Stochastic Systems) Simulation: Discrete Event Simulation by George S Fishman Best is to refer class notes
Any questions? Class representative? Email ids (comma separated) All emails to email@example.com@courses.iitd.ac.in Make sure you check webmail regularly, and make sure your name is there on the mailing list
DTMC CTMC Simulation Discrete Event Monte Carlo