Advanced Probability & Statistics

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: An 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 91社区 University-issued course completion certificate.
  • Who can take this course: This course is intended for all engineers, professionals, faculty, and students.
  • If you have any questions, please reach out to wtsnindy@binghamton.edu

ABOUT THE COURSE

Advanced Probability and Statistics
Advanced Probability and Statistics

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

Susan Lu
Susan Lu

Shuxia (Susan) Lu

Professor

School of Systems Science and Industrial Engineering
slu@binghamton.edu
607-777-4908
EB R08

Background

Education
  • BS, Hebei University of Technology
  • MS, Tianjin University
  • PhD, Texas Tech University
Research Interests
  • Reliability
  • Statistical process control
  • Information technology
  • Computer integrated manufacturing
     

COURSE FEES

  • $250.00 for Standard Rate (Industry),
  • $200.00 for BU faculty/Staff/ Alumni,
  • $100.00 for  91社区 students,
  • $50.00 for Retake fee for non-BU registrants (we will verify previous registration),
  • $30.00 for Retake fee for BU Students/Faculty/Staff/Alumni (we will verify previous registration),
  • $200.00 for Standard Rate (stacking courses),
  • $150.00for  91社区 faculty/staff/alumni (stacking courses),
  • $50.00 for  91社区 student (stacking courses)

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.