Applied Probability (ArsDigita University). Instructors: Dr. Tina Kapur and Dr. Rajeev Surati. This course 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. (from ADUni.org)
Instructor: Tina Kapur and Rajeev Surati. Course Description. Lecture and Courseware. Student Evaluations. This course extends the discrete probability learned in the discrete math class.