90-760 Management Science II
6 units, Carnegie Mellon University
This course, along with its companions 90722 Management Science I Decision and Risk Modeling, 94833 Decision Analysis and MultiCriteria Decision Making, and 95760 Decision Making Under Uncertainty are introductory courses in analytics and management science that survey a variety of handson quantitative and modeling methods useful to decision makers and analysts. 90760 focuses on methods for making decisions in the face of uncertainty, including forecasting, Monte Carlo simulation, and queuing theory. Normally Heinz PPM, HCPM, MBTM, and MEIM students take 90722 90760, whereas MISM students take 95760 which pulls examples from the information systems context. Both tracks feed into 94833, although students with a strong quantitative background can take 94833 in the first year No prerequisite of the other courses are actually a prerequisite for 94833. Prerequisites Ability to work with concepts from probability is required Binomial and Normal random variables, distributions more generally, computation of mean standard deviation, event probabilities, Bayes Rule, etc.. Some concepts in 90760 are easier to grasp if one knows regression, but regression per se is not a prerequisite. The course uses Excel intensively. If you have not already taken 90722 or become proficient with Excel in some other way, you should work through some Excel tutorials before the course begins.
Prerequisites: none listed
Courseweave needs JavaScript to show sections, workloads and planning tools.