Introduction to Probability and Statistics (DAT1901) via Distance Learning
Instructor: Dr. Mohammad Khasawneh
Start Date: Monday, February 25, 2019
End Date: Sunday, March 24, 2019
Delivery: 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 (Industry), $200 BU faculty/staff/Alumni, $100 Students.
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.
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
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
$250 Standard Rate (Industry)
$200 BU faculty/staff/Alumni
Registration is open till Feb 25, 2019.
Confirmation and course information will be emailed to registrants. Include your email address on your registration form. If you have not received confirmation seven days before the start of the program or have a question about the registration process call the Office of Industrial Outreach at (607) 777-6241.
Credit Card: After you have registered for the course you will receive an email from Research Foundation of SUNY for Binghamton University Watson Industrial Outreach via PayPal with an invoice to make a secure transaction via PayPal payment solutions. We accept VISA, MasterCard, American Express, Discover and PayPal via PayPal payment solutions. The name that will appear on your statement is: PAYPAL*RFBU WATSON.
DO NOT SUBMIT CREDIT CARD INFORMATION BY EMAIL OR FAX AS THIS IS NOT SECURE.
Payments must be made before the start of the program.
Check: Please make checks payable to: Research Foundation Award # 77136 and make sure to write "DAT1901 Prob & Stats" in the subject line. Mail check with the printable registration form to:
Watson Industrial Outreach
PO Box 6000
Binghamton, NY 13902-6020
For questions, contact the Office of Industrial Outreach at:
Phone: (607) 777-6241
CANCELLATIONS AND REFUNDS
1. All cancellations must be received in writing by noon Feb 25, 2019 to receive a
2. Cancellations of confirmed registrations are subject to a $20 administrative fee. No refunds for cancellations or non-attendance will be given after Feb 25, 2019.
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.