|Applied Probability||Hits: 1057|
Description: Applied Probability
Focuses on modeling, quantification, and analysis of uncertainty by teaching random variables, simple random processes and their probability distributions, Markov processes, limit theorems, elements of statistical inference, and decision making under uncertainty. This course extends the discrete probability learned in the discrete math class. It focuses on actual applications, and places little emphasis on proofs. A problem set based on identifying tumors using MRI (Magnetic Resonance Imaging) is done using Matlab.
Average Visitor Rating: Not Yet Rated
Average Member Rating: Not yet reviewed by any member...
You can be the first one to write a review for Applied Probability!