Decision analysis, linear programming, integer programming, dynamic programming, introduction to computer programming, statistical distributions, Markov chains, Monte Carlo simulation, queuing, discrete event simulation. Students will use a variety of tools to investigate applications including transportation networks, revenue management, and sports analytics.

Antirequisite(s): Financial Modelling 3817A/B, Statistical Sciences 4654A/B.

Prerequisite(s): 1.0 course from: Calculus 1000A/B, Calculus 1301A/B, Calculus 1501A/B, Data Science 1000A/B, Mathematics 1120A/B, Mathematics 1225A/B, Mathematics 1228A/B, Mathematics 1229A/B, Mathematics 1230A/B, Mathematics 1600A/B, Applied Mathematics 1201A/B, Numerical and Mathematical Methods 1411A/B, Numerical and Mathematical Methods 1412A/B, Numerical and Mathematical Methods 1414A/B, Statistical Sciences 1024A/B, the former Applied Mathematics 1411A/B, the former Applied Mathematics 1412A/B, the former Applied Mathematics 1413, the former Applied Mathematics 1414A/B, and 0.5 from: Economics 2122A/B, Economics 2222A/B, Statistical Sciences 2035, Statistical Sciences 2141A/B, Statistical Sciences 2857A/B, or by permission of the School 1.0 credits in statistics or a quantitative research methods (e.g., Psychology 2840F/G, Psychology 3891F/G, Psychology 3892F/G, Sociology 2205A/B, Sociology 2206A/B) at the 2000 level or above.

Extra Information: 3 lecture hours, 2 lab hours.