Introduction to Probability & Statistics

Introduction to Probability and Statistics via Distance Learning 

Instructor: Dr. Mohammad Khasawneh
Two offerings:

January 6 - February 16, 2020 (closed)
April 13 - May 24, 2020
Delivery: 6 weeks online, 6 hours of pre-recorded lectures
Certificate and Digital Badge: A certificate and a Probability and Statistics Foundations Badge be issued to students who pass the exam.
Who can take this course: This course is intended for all engineers, professionals and students.
Course Fees: $250 Standard Rate, $195 BU faculty/staff/Alumni, $100 BU Students.

1st offering: January 6 - February 16: REGISTER HERE (closed)

2nd offering: April 13 - May 24: REGISTER HERE


ABOUT THE COURSE

This course teaches the foundational concepts of data analytics that is the fundamentals of probability and statistics. Data science is a growing field of study and practice as data is quickly becoming the world most abundant and untapped resource. Social, mobile and the proliferation of interconnectivity via the internet has led to vast amounts of data; however, we all require the ability to transform these raw data into meaningful information to help make better and faster decisions. Introduction to Probability and Statistics provides the class participant with the means to convert several forms of data into usable information.


COURSE OUTLINE

The course will be delivered via 6 hours of pre-recorded lectures. Students will receive support via virtual office hours and email with the instructor and teaching assistant. A take-home exam will be distributed and graded and a course certificate and a digital badge will be issued to passing students (a grade of 70% or above)


Session 1 - Course Introduction, Course Outline, Fundamental of Problem Solving, Introduction to Statistics, Sampling Process, Introduction to Minitab
Session 2 - Basic Statistics: Measures of Location, Measures of Variability, Data Visualization, Coefficient of Variation, Dot Plot, Histogram, Stem And Leaf, Box Plot
Session 3 - Basic Statistics: Random Distribution, Variables Types, T test, Z test, Statistical Tables, Confidence Intervals for Mean, Confidence Interval for Proportions, Confidence Interval for Standard Deviation
Session 4 - Advanced Statistics: Compare Means, Compare Variances, Compare Proportions, Rejection Region, Fail to Reject, Type 1 error and Type 2 error, Power and Sample Size, P-value


THE INSTRUCTOR

Dr. Mohammad T. Khasawneh

  • Professor and Chair in Systems Science & Industrial Engineering Department
  • Associate Director, Watson Institute for Systems Excellence
  • Director, Healthcare Systems Engineering Center
  • Director, Human Factors and Ergonomics Laboratory
  • Graduate Program Director, Executive Master of Science in Health Systems
  • SUNY Chancellor's Award for Excellence in Teaching
  • PhD, Industrial Engineering, Clemson University

Teaching Assistant - TBD


COURSE FEES

$250 Standard Rate
$195 BU faculty/staff/Alumni (graduated before May 2019)
$100 BU Students and recent alumni (graduated May 2019 or after)

 
CANCELLATIONS AND REFUNDS

1. All cancellations must be received in writing by noon of the course date to receive a refund.
2. Cancellations of confirmed registrations are subject to a $20 administrative fee. No refunds for cancellations or non-attendance will be given after the course date.
3. Substitutions may be made any time before the beginning of the course by informing the Office of Industrial Outreach.
4. If the course is canceled, enrollees will be advised and receive a full refund.