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Overview
As part of the Principles of Manufacturing MicroMasters program, the Manufacturing Process Control II, which is offered by EdX in collaboration with Massachusetts Institute of Technology - MITx, will build on statistical process control foundations to add process modeling and optimization.
Building on formal methods of designed experiments, the course develops highly applicable methods for creating robust processes with optimal quality.
We will cover the following topics:
- Evaluating the causality of inputs and parameters on the output measures
- Designing experiments for the purpose of process improvement
- Methods for optimizing processes and achieving robustness to noise inputs
- How to integrate all of these methods into an overall approach to process control that can be widely applied
- Developing a data-based statistical ability to solving engineering problems in general
The course will conclude with a capstone activity that will integrate all the Statistical Process Control topics.
Programme Structure
What you'll learn
Multivariate regression for Input-output causality
Design of experiments (DOE) methods to improve processes
Response surface methods and process optimization based on DOE methods
DOE-based methods for achieving processes that are robust to external variations
Key information
Duration
- Part-time
- 2 months
Start dates & application deadlines
- StartingApply anytime.
Language
English
Delivered
Online
Campus Location
- Portland, United States
Disciplines
Electronics & Embedded Technology View 39 other Short Courses in Electronics & Embedded Technology in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
There is no specific undergraduate degree requirement to enroll in the MicroMasters program. However, to be successful in the program, it is recommended to have a solid engineering undergraduate preparation or equivalent, as well as some knowledge of basic manufacturing processes. Additionally, a familiarity with statistics and probability theory, or the ability to quickly learn these concepts, is required.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents175 USD / full≈ 175 USD / full - Out-of-State175 USD / full≈ 175 USD / full
Additional Details
- Each course can be purchased individually at a cost of $175 USD per course. The total cost for all the courses individually would be $1,400.
Funding
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