Advanced Probability & Statistics

Instructor: Dr. Shuxia (Susan) Lu
Open year round
Delivery: Self-paced online, 6 hours of pre-recorded lectures, self assessment quizzes (not graded) and a multiple choice final exam (graded).
Credentials: A Advanced Probability and Statistics digital badge will be issued to students who pass the exam. Participants will also be able to download and print a ��ý issued course completion certificate.
Who can take this course: This course is intended for all engineers, professionals, faculty and students.

ABOUT THE COURSE

Our world is becoming more and more data intensive with every passing day; so the need to translate data into useful and meaningful information is greater than ever before. The ability to collect and analyze a variety of data types using descriptive and inferential statistics is foundational to effectively interpreting your specific sets of data, as well as understanding the appropriate analytical techniques for the various types of data collected will determine the outcome of your analysis. This course will teach you important concepts, principles and practices so that you can be much more successful at gaining important insights from your data analysis. (Introduction to Probability and Statistics, or equivalent, is a recommended prerequisite for this course)

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)

COURSE CONTENT

Session 1 - Hypothesis test: type 1 error, type 2 error, ANOVA, MANOVA, Nonparametric Tests
Session 2 - Correlation Analysis, Regression Analysis, Multiple Regression
Session 3 - Logistic Regression Analysis, Root Cause Analysis
Session 4 - Factorial Experiment, Fractional Factorial Experiment, Minitab
Session 5 - Reliability Total Productive Maintenance, MANOVA with Minitab, Regression with Minitab, Correlation with Minitab

THE INSTRUCTOR

Dr. Professor Shuxia (Susan) Lu is a professor in the Systems Science and Industrial Engineering Department at ��ý (SUNY).

COURSE FEES

$250: Standard Rate
$150: BU and SUNY faculty/staff/BU Alumni (graduated May 2020 or before)
$95: BU and SUNY Students/Recent Alumni graduated Dec 2020 or after/High School Students
$105: Non-BU and Non-SUNY students (must prove matriculation at other University/College)
$35: Retake Fee Students (we will verify previous registration)
$50: Retake Fee Non-Students (we will verify previous registration)

CONTACT US

For questions, contact the Office of Industrial Outreach by email: wtsnindy@binghamton.edu

CANCELLATIONS AND REFUNDS

Please note our cancellation and refund policy: All cancellations must be received in writing (email) to the Office of Industrial Outreach. All refunds will be assessed a 10% administrative fee. No refunds for cancellations or non-attendance will be given after you have started the course. Submit your cancellation request to EMAIL: wtsnindy@binghamton.edu.

If the course is canceled, enrollees will be advised and receive a full refund.

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