Program Overview

Overview of the Robert H. Buckman College of Engineering Online Education Program

The Robert H. Buckman College of Engineering Online Education Program offers a range of online degrees and certificates, including doctoral programs, master's programs, graduate certifications, and professional certifications. The program is designed to provide students with a comprehensive education in engineering, with a focus on practical application and hands-on training.

Doctoral Programs

• Doctor of Engineering

Master Programs

• Aeronautics & Astronautics
• Autonomy
• Biomedical Engineering
• Civil Engineering
• Dual Degree MSE+MBA
• Electrical & Computer Engineering
• Engineering Education
• Industrial Engineering
• Interdisciplinary Engineering
• Internet of Things
• Mechanical Engineering
• Microelectronics and Semiconductors
• Nuclear Engineering
• Robotics
• Software Engineering
• Systems Engineering

Graduate Certifications

• Applied Heat Transfer
• Digital Signal Processing
• Hypersonics
• International Development
• Microelectronics and Semiconductors
• Noise Control
• Regulatory Affairs and Regulatory Science for Medical Devices
• Systems
• Teaching and Learning in Engineering

Professional Certifications

• Lean Six Sigma Green Belt
• Lean Principles
• Lean Six Sigma Black Belt
• Lean Six Sigma Green Belt Refresher
• Agile Project Management
• Project Management Essentials
• PMP Exam Preparation

Professional Courses

• Semiconductor Fabrication 101
• Additive Manufacturing
• Design for Security
• Data Science
• Building Water Essentials
• Model-Based Systems Engineering
• Product Safety: An Introduction for Effective Engineering Design
• Small Modular and Advanced Reactor (SMR/AR) Technology
• Systems Engineering Processes and Professional Competencies

Statistical Quality Control Course

Course Description

The Statistical Quality Control course is designed to provide students with a comprehensive understanding of statistical quality control concepts and hands-on training in the methods, standards, and guidelines currently being used for industrial quality control. The course will enable practicing engineers to gain a firm grasp of statistical quality control methods and enable them to analyze and improve existing quality control processes, as well as design and implement new quality control processes in industrial settings.

Course Details

• Credit Hours: 3
• Learning Objective: To help students understand the concepts underlying statistical quality control and to develop their ability to apply those concepts to the design and management of quality control processes in industries.
• Topics Covered: History of quality control, modern quality control philosophy, Design-Measure-Analyze-Improve-Control paradigm, methods for describing variation, statistical inference methods, design of control charts, process characterization and capability analysis, gauge R&R studies, design of experiments, sampling inspection, attribute and variable acceptance plans, six-sigma and TQM.
• Prerequisites: IE 230 and 330 or equivalent courses, elementary probability theory.
• Applied / Theory: 80 / 20
• Homework: Students will be required to complete seven homework assignments, with the worst score among the seven assignments being disregarded.
• Projects: Students will be given the option to complete a final project instead of taking the final exam.
• Exams: There will be a midterm exam that will contribute 30% to the course grade, and a final exam/project that will contribute 30% to the course grade.
• Textbooks: Montgomery D.C. (2013). Introduction to Statistical Quality Control (7th ed.). John Wiley & Sons, Inc.
• Computer Requirements: ProEd minimum computer requirements.
• Other Requirements: Minitab and Microsoft Excel will be used in the course. Minitab is part of the software suite at Purdue University that students can access remotely.