The Statistical Quality Control course introduces students to key statistical tools used in monitoring and improving product and process quality. This course blends foundational theory with applied practice, enabling students to understand and control variation, identify root causes, and make data-driven decisions in quality management. It covers topics such introduction to quality improvement, statistical method for process control, other or advanced statistical method of process control, process capability analysis, acceptance sampling, and reliability and life time testing.

This course follows a blended learning format, combining the benefits of face-to-face interaction with flexible online content. Chapters 1, 2, and 5 will be delivered in-person, focusing on foundational statistics, quality principles, and process improvement exercises. These sessions will include collaborative discussions, lab demonstrations, and case study activities. Meanwhile, Chapters 3 and 4 will be delivered online, allowing students to explore Statistical Process Control (SPC) and process capability concepts through recorded videos, demos, and quizzes.

By the end of the course, students will be equipped with the analytical skills and practical tools to implement quality control strategies in real-world scenarios. Whether entering manufacturing, healthcare, or service industries, learners will gain a valuable set of tools to support quality assurance and continuous improvement efforts.