MSCI 609 Quantitative Data Anaylsis

Course Outline MSCI 609 Quantitative Data Analysis 


Term and Year of offering: Fall 2015

Course Number and Title: MSCI 609 Quantitative Data Analysis 001 

Instructor’s Name: Dr. Qi-Ming He


Course Description: See description in the Graduate Calendar

This course covers the basic topics in statistical data analysis including: descriptive statistics and probability concepts; discrete and continuous probability distributions; sampling methods and the central limit theorem; estimation and confidence intervals; inference and hypothesis testing; linear regression and correlation; and multiple regression and model building.

Course objectives:

Required Readings, Materials and Texts:

Walpole, Myers, Myers, and Ye, Probability and Statistics for Engineers and Scientists, 9th Edition, Prentice Hall, 2011.  ISBN-978-0-321-62911-1

Software Microsoft EXCEL (add-in), Solver, and Analysis ToolPak


This is a basic course description made available for public reference only. The  Graduate Calendar is always the official source for all course descriptions. Course Syllabi will be distributed by the instructor in class. For additional details not found here, please contact the listed instructor.