MET CS 544 Foundations of Analytics with R

Prerequisites: MET CS 546 and (MET CS 520 or MET CS 521), or equivalent knowledge, or instructor’s consent.
Delivery: Boston-Charles River Campus, Online
Program: MS CIS elective, MS CS elective
Syllabus: CS544_A1_Fall 2017; CS544_O1_Fall 2017 ; CS544_A1_Spring2018

Description: The goal of this course is to provide students with the mathematical and practical background required in the field of data analytics. Starting with an introduction to probability and statistics, the R tool is introduced for statistical computing and graphics. Different types of data are investigated along with data summarization techniques and plotting. Data populations using discrete, continuous, and multivariate distributions are explored. Errors during measurements and computations are analyzed in the course. Confidence intervals and hypothesis testing topics are also examined. The concepts covered in the course are demonstrated using R. Laboratory Course. 4 Credits.