Applied Probability
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| Type: | Course Related Materials |
| Grade Level: | Post-secondary |
Author: Tina Kapur, Rajeev Surati
Subject: Science and Technology
Institution Name:
ArsDigita University
Collection Name: ArsDigita University
Abstract: 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.
Details
Course Type: Full Course
Material Types: Homework and Assignments, Lecture Notes, Other, Readings, Video Lectures
Media Formats: Downloadable docs, Text/HTML, Video
Language: English
Additional Information
Geographic
Regional Relevance: All
