Training
Courses
Design of Experiments
Structured approach to efficiently characterize, improve, and optimize a process by systematically changing process inputs (e.g. temperature and pressure) and analysing the results.
Tool
Matching, Sampling and Problem Solving
systematic data collection and analysis to understand
current process performance and identify areas for improvement.
The course includes machine matching, sampling plan selection,
variance components, process stability
and capability (Cpk), and graphical data analysis.
Introduction to JMP and Exploratory Data Analysis
commonly used graphs and data manipulation capabilities of the JMP statistical
data analysis software. The course goes well beyond a description
of the software to include exploratory data analysis.
Expertise. Dr. Czitrom has trained more than 5,000 engineers and managers from industry worldwide.
Training approach. The training is centered on the engineering needs to understand and improve process performance. The approach is practical. The material covers only the statistical topics that are needed, and these are introduced on an as-needed basis. The emphasis is on graphical data analysis, which makes the results easy to understand. Dr. Czitrom’s degrees in statistics, physics and engineering as well as her work in industry and academe back this blend of statistics with practical engineering applications.
Training material. The material Dr. Czitrom developed is rich in real industrial examples, most taken from the semiconductor and related industries.
Software. The training incorporates the JMP statistical data analysis software. This allows engineers to apply the concepts covered in class to their own data immediately after training. Dr. Czitrom has introduced the JMP software to engineers in several companies in the United States, Asia and Europe. She is a SAS Accredited Trainer in JMP.
Duration. The most effective way to organize the three-course suite for on-site training is over a two-week period, with training in the mornings and one-on-one consulting with engineers in the afternoons. Consulting immediately after training helps engineers to quickly apply the new concepts to their own data, providing an optimal learning experience.
Prerequisites. No previous statistical knowledge is necessary.
Customization. Training can be tailored to meet specific company needs.
Six Sigma. The courses cover the technical content of the DMAIC (Define, Measure, Analyze, Improve, Control) methodology of Six Sigma.
Language. Dr. Czitrom speaks English slowly and clearly without slang, making it easier for non-native speakers to understand. She has been doing training and consulting in Asia since the year 2000. Also, because much of the training is hands-on using the computer, during training engineers can see what needs to be done from the screen on the wall. The training material is in clear simple English. Dr. Czitrom also speaks Spanish and French.
Class Size. Groups of 12 to 15 participants are optimal due to the computer-based hands-on nature of the training, but the number can be adjusted to suit customer needs.
Training Room Setup. Each participant must have the JMP software installed on a computer. A free trial copy that lasts 40 days may be downloaded from the JMP website. One of the computers should project onto a screen on the wall.
Training Manuals.
The three training manuals are available for purchase on one CD.
CD contents:
- Introduction to JMP
- Tool Matching and Sampling
- Design of Experiments
Cost: US$20 plus transportation.
Purchase: Send email to Czitrom@StatsTrain.com