Customized courses for Industry
Short courses offered by the Thomas J. Watson School of Engineering and Applied Science provide 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.
Price can vary for each course, depending on your demand. For more information, please contact Astrid Stromhaug at email@example.com or call 607-777-6241.
Lean Six Sigma Courses (Online or On-site)
A program designed for Lean Six Sigma team leaders. The Black Belt training expands upon the skill set taught in the Green Belt Certification. For more information, you can check here.
Participants will become familiar with basic Lean and Six Sigma tools within the context of the DMAIC (Define, Measure, Analyze, Improve, and Control)methodology. For more information, click here.
Green Belt Healthcare
This course will emphasize why implementation of Lean Six Sigma is vital to the continuous improvement of hospital operations in specific and healthcare delivery systems in general. Several healthcare case studies and applications of Lean Six Sigma concepts will be presented. For more information, click here.
Lean Six Sigma Yellow Belt training is designed to emphasize why the implementation of Lean Six Sigma is vital to the continuous improvement of a wide variety of industries. For more information, click here.
Team Problem Solving and Decision Making
The purpose of this course is to introduce you to a proven method for group problem-solving and decision-making.For more information, click here.
The purpose of this course is to deepen your awareness of Emotional Intelligence (EI) – the capacity to be aware of, channel, and express one's emotions, and to handle interpersonal relationships judiciously and empathetically. For more information, click here.
Introduction to Probability and Statistics
This course teaches the foundational concepts of data analytics that is the fundamentals of probability and statistics. For more information, click here.
IBM Blockchain Workshop
This workshop starts with an overview of Blockchain technology and proceeds with a deep dive into the Linux Foundation Hyperledger Composer, Hyperledger Fabric, and IBM Blockchain Platform on the IBM cloud. For more information, click here.
Introduction to Python
This course introduces computer programming in Python for those who
have little or no prior computer programming experience. For more information, click here.
Data Analytics (using Excel)
This 1-day course teaches the fundamentals of Design Thinking. Design Thinking is collaborative, team-based approach used to find breakthrough solutions to complex problems. For more information, click here.
Introduction to Finite Element Method
This course will cover the fundamentals of Finite Element Method through typical mechanical engineering examples. For more information. click here.
Finite Element Method using ANSYS
This is a 5-week online course with a final take home exam given in week 6. This course will cover fundamentals of using ANSYS APDL for engineering simulations. For more information, click here.
Geometric Dimensioning & Tolerancing, click here
Engineering Ethics, click here
OSHA Training, click here
FE/EIT Exam Preparation course
Human Factors & Ergonomics
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
- Data Gage R&R Studies / Measurement Systems Analysis (AIAG Technique and P/T Studies)
- An introduction to DOE