Statistical Learning for Reliability Analysis

ABOUT THE COURSE: Statistical Learning (SL) is the science of analyzing data to convert information to useful knowledge. This knowledge could help us understand our world better, and in many contexts enable us to make better decisions. While this is the broad and grand objective, there is a huge demand to solve many problems with computationally intelligent techniques, such ML, DL, AI and SL. This course seeks to present the participants a wide range of statistical learning approaches related to data sampling, hypothesis testing, statistical inference with both parametric and non-parametric methods, dealing data with one or more population, variance analysis, t-testing, likelihood estimation, etc. INTENDED AUDIENCE: The course is of interdisciplinary nature and students from CSE, IT, EE, ECE, CE, ME, etc. can take this course. PREREQUISITES: This course requires that the students are familiar with high-school level linear algebra, calculus, probability and statistics. INDUSTRY SUPPORT: All IT companies, in general.