Customized Courses for Industry

Customized courses for Industry

Short courses offered by the Thomas J. Watson College 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 or on the Binghamton University campus (face-to-face workshop style). We can also deliver many of our courses online (self-paced or live virtual with various degrees of Instructor support). 

GROUP rates are available for Industries/Organizations. Price can vary for each course so please contact us for details.

Credentialing: For all our offerings credentialing is included in the course fees. A digital badge and a course certificate will be issued to all students who pass the learning assessment delivered at the end of each course.

For more information, please contact Kodylynn Perkins at wtsnindy@binghamton.edu, 607-777-6251, or Michael Testani at 607-777-6243.

Lean Six Sigma Courses

Due to COVID-19, we prefer delivering these courses in a blended learning format with online self-paced video lectures and live virtual instructor lead discussions and learning activities.

  • Green Belt (Blended learning)

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 (Blended learning)

This course will emphasize why the 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.

  • Yellow Belt (Blended learning)

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.

  • Lean Operations (face-to-face only)

The participants will observe, appreciate, and understand lean benefits. Most importantly, they will REMEMBER these years later, a key to providing attendees with more than theory: they will be able to APPLY the concepts at work. Click here.

 Engineering Management

  • Project Management (Live Virtual Course or face-to-face)

This seminar will provide an in-depth look at two pivotal project management tools: Work Breakdown structures (WBS), and Scheduling/Estimating Techniques (Critical Path and PERT). Come learn how to plan and manage your projects to minimize risk and improve success! Click here.

  • Team Problem Solving and Decision Making (face-to-face)

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.

  • Emotional Intelligence (face-to-face)

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.

  • Creative Problem Solving (face-to-face)

In this workshop, you will learn an easy-to-use, research-informed technique of "encoding connections" to enhance your creative problem-solving ability. Click here.

Data Science

  • Introduction to Probability and Statistics (online self-paced)

This course teaches the foundational concepts of data analytics that is the fundamentals of probability and statistics. For more information, click here.

  • Advanced Probability and Statistics (online self-paced)

Our world is becoming more and more data-intensive with every passing day, so the need to translate data into useful and meaningful information is greater than ever before. The ability to collect and analyze a variety of data types using descriptive and inferential statistics is foundational to effectively interpreting your specific sets of data, as well as understanding the appropriate analytical techniques for the various types of data collected will determine the outcome of your analysis. This course will teach you important concepts, principles, and practices so that you can be much more successful at gaining important insights from your data analysis. (Introduction to Probability and Statistics, or equivalent, is a recommended prerequisite for this course).

  • IBM Blockchain Workshop (face-to-face)

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 (face-to-face or online self-paced)

This course introduces computer programming in Python for those who
have little or no prior computer programming experience. For more information,  click here.

  • Python Programming Level 2 (face-to-face)

please contact us at wtsnindy@binghamton.edu if interested

  • Data Analytics using Excel face-to-face)

This is an introductory course in the use of Excel and is designed to give you a working knowledge of the most common Excel data analysis tools. Click here.

  • Data Sciences & Artificial Intelligence (face-to-face)

This workshop is intended for industry professionals, academic scholars, and students with an interest in emerging data science and machine learning / artificial intelligence. Click here.

  • R-Programming (face-to-face)

Please contact us at wtsnindy@binghamton.edu if interested

Product Design

  • Design Thinking (face-to-face)

This 1-day course teaches the fundamentals of Design Thinking. Design Thinking is collaborative, the team-based approach used to find breakthrough solutions to complex problems. For more information, click here.

  • Design Thinking for Healthcare (face-to-face)

Learn proven techniques to find breakthrough solutions to the complex problems faced by the healthcare industry. Click here.

  • Introduction to Finite Element Method (online self-paced)

This course will cover the fundamentals of the Finite Element Method through typical mechanical engineering examples. For more information. click here.

  • Finite Element Method using ANSYS (online self-paced)

This is a 5-week online course with a final take-home exam given in week 6. This course will cover the fundamentals of using ANSYS APDL for engineering simulations. For more information, click here.

 Professional Engineering

  • Geometric Dimensioning & Tolerancing (face-to-face) 

The GD&T method is much more robust than traditional +/- tolerancing and provides a higher degree of accuracy for part design and fabrication. Designers, machinists, drafts persons, mechanical engineers, procurement engineers, and quality assurance will learn how to apply GD&T to their job. The course is approved for 6 professional development hours (PDH) for professional engineers and is also open to all professionals and students. 

  • FE/EIT Exam Preparation course (face-to-face)
  • Human Factors & Ergonomics (Live Virtual or face-to-face)

This course will highlight the value that human factors and ergonomics can add to the design process as well as production operations. Students will learn the basic concepts of human factors (also known as human factor engineering) and ergonomics as well as the common tools, terms, and concepts used in both methodologies. Students will be exposed to how to integrate human factors and ergonomics principles into design and development operations and as well as the best practices and effective tools for using these principles in manufacturing and production operations. 

 Quality Management

  • Quality Management

In organizations today, providing a quality product or service is a fundamental expectation of every consumer. Managing and improving product and service quality requires a special set of tools and techniques to ensure success. Effective quality management concepts and practices will be taught, so the learner can apply these powerful techniques within their organization. Continuous quality improvement is everyone's responsibility, and this course is designed for those looking to sharpen their skills in total quality management techniques. Please contact us at wtsnindy@binghamton.edu if interested.

Systems Engineering

  • Design of Experiments (DOE)

Experimental design using Design of Experiments (DOE) provides key insights into process and product performance like a few other methods. One of the strengths of DOE is identifying process variables that have a main effect on the overall performance of a system; along with those variables that interact with one another to create non-intuitive outcomes. This course will guide you through the setup, execution, and analysis of a DOE using the software platform of your choice (for example, Minitab, JMP, etc.). Please contact us at wtsnindy@binghamton.edu if interested.

Other offerings:

Introduction to Electronic Packaging

The electronics industry is based on the most rapidly changing high technology in history. The 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 the 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 present the necessary analytical and computational tools for MEMS designers to model and simulate the 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 a 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.

The 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