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The Thomas J. Watson School of Engineering and Applied Science

Customized Courses for Industry

Short courses offer engineers and professionals necessary skills to advance company goals.  

Watson faculty and instructors are industry experts who provide participants with an integrated approach to engineering, technology, and management. 

Our instructors can deliver your customized course to your location site live, remotely or on the Binghamton University campus.

Introduction to Electronic Packaging

The electronics industry is based on the most rapidly changing high technology in history. Miniaturization of semiconductor chips advances each year. Millions of transistors can now be placed on a silicon chip smaller than a postage stamp, and each year concentration of transistors almost doubles. This course provides a broad perspective of electronics packaging concepts, terminology, industry and recent developments. The course also addresses design, materials and manufacturing aspects of electronics packages and offers insights into the latest developments in packing technology and applications and roadmaps for the future of packaging.

Microelectromechanical systems (MEMS)

MEMS Linear and Nonlinear Statics and Dynamics presents the necessary analytical and computational tools for MEMS designers to model and simulate most known MEMS devices, structures, and phenomena.

Topics cover analysis and treatment of the most common static and dynamic phenomena in MEMS that are encountered by engineers. Coverage also includes nonlinear modeling approaches to modeling various MEMS phenomena of a nonlinear nature, such as those due to electrostatic forces, squeeze-film damping, and large deflection of structures.

Introduction to Reliability Tests and Models

(can be offered with a half-day Probability and Statistics primer)

The objective of this course is to introduce the fundamental concepts and methodologies that pertain to reliability testing, data collection, and reliability estimation.  The course will be structured as two modules. The first module will be a one-day primer course focused on Probability and Statistics. The second module will be a three-day course on Reliability Tests and Models with

The second module will be a three-day course on Reliability Tests and Models with focus on accelerated life testing and associated reliability models. Design for reliability concepts and practice will be incorporated into the course. Practical examples will be provided to help the audience understand both concepts and analysis methods. The use of reliability software will also be addressed.

Technical Risk Management

Risk management is concerned with the potential results of future events, whose exact outcomes are unknown and with how to proactively deal with these uncertainties.

A risk management process is proactive and fundamentally different than crisis management / problem solving, which is reactive. This training covers the art and science of planning, identifying, assessing (analyzing and measuring), handling and communicating risks. This course defines risk and establishes the foundational elements of a proactive and structured risk management process.

This course also facilitates discussion about technical risk drivers, roles & responsibilities and institutionalizing risk management within a company's existing processes.

Quality Assurance for Engineers 

(can be offered with a half-day Probability & Statistics primer)

Quality has become a critical issue for competition throughout the world. Quality starts with the engineering design process and goes through the product manufacture.

Course covers basic elements of statistical quality control, designing for quality, process control, vendor and customer quality issues, quality costs and the production of a quality product.  The course will be structured as two modules. The first module will be a one-half day primer course focused on Probability and Statistics.

The second module will be a two-day course on topics such as:

  • Cost of Quality / Juran's Quality 
  • Trilogy / KAIZEN
  • 7 "Old" Tools for Quality 
  • Improvement / Control Process Capability Analysis / 
  • Taguchi Loss Function
  • Control Charting for Variables
  • Control Charting for Attributes 
  • DataGage R&R Studies / Measurement   Systems Analysis (AIAG Technique and P/T Studies)
  • An introduction to DOE

Last Updated: 3/1/17