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This course, Quality Control in Semiconductor Chip Manufacturing, enables learners to develop the analytical tools necessary to implement, maintain, and continuously improve quality planning and control methods in a manufacturing environment.

Through four key modules, learners begin by exploring population estimation and the role of statistical tools, with a focus on normal distribution. Learners then delve into hypothesis testing techniques and their application to production, including tests on both single and two population means.

Learners explore statistical process control, covering x-charts, x-R and x-s control charts, as well as key performance metrics such as risk and average run length. The final module focuses on process quality and metrology. Learners investigate control and specification limits, the process capability ratio, and process fallout to assess and improve manufacturing quality.

Technician handling a semiconductor wafer with precision tools in a lab setting

Course Outline

This course focuses on the following modules:

  • Estimating the Population
  • Hypothesis Testing and Its Application to Production
  • Statistical Process Control
  • Quality and Metrology

Learner Outcomes

By the end of this course, learners will be able to:

  • Model the variation in design and manufacturing.
  • Enhance the analysis, modeling, and presentation of data.
  • Collect manufacturing data and draw conclusions based on statistical methods and analysis.
  • Utilize hypothesis testing to solve manufacturing-related issues.
  • Develop control charts, sampling plans, and acceptance criteria for manufacturing data.
  • Determine process capability for manufacturing production.

Who Should Register?

This course is ideal for learners interested in semiconductor manufacturing, materials, devices, and circuits. A foundational knowledge of physics and chemistry at a high school level is helpful but not required. No prior knowledge on CMOS or other semiconductor technology is required.

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Select a section to register

Section Title
Quality Control in Semiconductor Chip Manufacturing
Type
Online Self-Paced (Non-Facilitated)
Duration
Aug 25, 2025 to Jul 31, 2026
Cost
Required Software
This course uses Canvas, the University of Cincinnati's learning management system, which requires DUO two-factor authentication. *Canvas Access: If you already have UC credentials, you can access your course on Canvas once the instructor publishes it. *New to UC? You will receive an email with your UC credentials within 7 business days of registration. Please check your registration receipt for additional information. *Two-Factor Authentication (DUO): UC requires DUO two-factor authentication to access the UC network, Canvas, and other tools on personal devices. More detailed instructions for setting up DUO and using Canvas will be available in your learner portal after registration.

Section Notes

Learn more about the OASiS Foundations program.

OASiS

The Ohio-Southwest Alliance on Semiconductors and Integrated Scalable Manufacturing (OASiS) team was established in 2022 with the support of Intel. The goal of OASiS is to provide individuals with strong STEM backgrounds with the very fundamental skills required to pursue semiconductor careers. Altogether, OASiS has engaged 15 universities, colleges, community colleges, and regional campuses in southwest Ohio. 


To date, over 1000 students with backgrounds in electrical and computer engineering, computer science, chemical engineering, mechanical and material engineering, physics, and chemistry have successfully gone through the program. The ultimate goal of the OASiS team is to be able to provide semiconductor workforce development opportunities by delivering modules to students interested in the area of semiconductor manufacturing, materials, devices and circuits so they can be part of the needed 100,000+ workforce needed in the field by 2030.   

The College of Engineering and Applied Sciences (CEAS)

The College of Engineering and Applied Science is organized into eight departments. Each offers multiple degrees, both graduate and undergraduate, and provides students with rich experience in the classroom, in the lab and on the job. 

  • Aerospace Engineering & Engineering Mechanics
  • Biomedical Engineering
  • Chemical and Environmental Engineering
  • Civil and Architectural Engineering and Construction Management
  • Computer Science
  • Electrical and Computer Engineering
  • Engineering and Computing Education

With real-world experiences at firms and research centers across the country and around the world, our students graduate with skills and confidence to turn ideas into reality, solving tomorrow’s problems today and seeking out new challenges.

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