Live support chatLessons Learned Building Analytical Models
In Lessons Learned Building Analytical Models, you'll learn ...
- Fundamental insights in decision making
- Robust steps to use in building analytical decision-making models
- Seven fundamental principles that can help you develop better analytical models in your organization
- Real-world examples of decision models that have and have not worked for organizations
Overview
Preview a portion of this course before purchasing it.
Credit: 2 PDH
Length: 21 pages
In a fast-paced analytical world with myriads of data and analytical techniques, it is important to remember some fundamentals in developing solutions that can be of real value to your project or organizaton. As analysts, engineers, and technical experts, we tend to get enthralled with the methods themselves and not the generation of solutions that provide value to the organization in the time frame that is required.
This course will teach you insights and methods for implementing analytical decision-making models in an organizational or project environment. Insights were developed through years of consulting and working in a number of environments.
The course provides some overall insights into organizational decision making. Additionally, a number of steps are provided to assist you in thinking through critical aspects of decision making in your environment to build robust models for decision making. Additionally, this course discusses which methods work in the “real world” and which do not.
Lessons learned from “real world” examples resulted in the development of fundamental rules and common-sense principles that ensure that the models and solutions you build will meet the needs of the decision-maker. These principles will help teach you how to avoid mistakes and help develop better usable solutions. This course is applicable to all engineering disciplines and should be of interest to individuals at various stages in their career.
Learning Objectives
Upon completion of this course, participants will be able to:
- Describe the process for identifying issues and developing solutions that can help an organization or project achieve its goals.
- Explain the importance of defining metrics.
- Outline the steps for exploring the scope and criticality of a problem.
- Explain the importance of selecting methods that a decision maker can understand.
- Describe the importance of understanding time constraints and expectations.
- Explain why an analytical model must be adaptable to a changing environment.
- Describe the need to understand corporate objectives clearly when developing a model.
- Distinguish between an optimal solution and the best solution.
Certificate of Completion
You will be able to immediately print a certificate of completion after passing a multiple-choice quiz consisting of 10 questions. PDH credits are not awarded until the course is completed and quiz is passed.
| This course is applicable to professional engineers in: | ||
| Alabama (P.E.) | Alaska (P.E.) | Arkansas (P.E.) |
| Delaware (P.E.) | District of Columbia (P.E.) | Florida (P.E. Area of Practice) |
| Georgia (P.E.) | Idaho (P.E.) | Illinois (P.E.) |
| Illinois (S.E.) | Indiana (P.E.) | Iowa (P.E.) |
| Kansas (P.E.) | Kentucky (P.E.) | Louisiana (P.E.) |
| Maine (P.E.) | Maryland (P.E.) | Michigan (P.E.) |
| Minnesota (P.E.) | Mississippi (P.E.) | Missouri (P.E.) |
| Montana (P.E.) | Nebraska (P.E.) | Nevada (P.E.) |
| New Hampshire (P.E.) | New Jersey (P.E.) | New Mexico (P.E.) |
| New York (P.E.) | North Carolina (P.E.) | North Dakota (P.E.) |
| Ohio (P.E. Self-Paced) | Oklahoma (P.E.) | Oregon (P.E.) |
| Pennsylvania (P.E.) | South Carolina (P.E.) | South Dakota (P.E.) |
| Tennessee (P.E.) | Texas (P.E.) | Utah (P.E.) |
| Vermont (P.E.) | Virginia (P.E.) | West Virginia (P.E.) |
| Wisconsin (P.E.) | Wyoming (P.E.) | |
Preview a portion of this course before purchasing it.
Credit: 2 PDH
Length: 21 pages
