Course provides students with the information and skills necessary for career success in agribusiness and in the operation of entrepreneurial ventures. Topics include economic principles, budgeting, risk management, finance, business law, insurance and resource management. Other possible topics are development of a business plan, employee/employer relations, problem solving and decision making, using computers. A survey of the careers within the agricultural industry is also incorporated. ** References to Common Core Standards are included as the first slide in each lesson's PowerPoint**

This lesson will focus on applying basic math skills to determine current inventory on hand at a business or in the home, and calculate the number of items needed. In addition, learners will determine the costs to replace items and apply the amount to an overall budget.

This book is suitable for an undergraduate or MBA level Financial Accounting course.

The authors bring their collective teaching wisdom to bear in this book not by changing "the message"(financial accounting content), but by changing "the messenger" (the way the content is presented). The approach centers around utilizing the Socratic method, or simply put, asking and answering questions. The reason that this approach continues to be glorified after thousands of years is simple - it engages students and stresses understanding over memorization. So this text covers standard topics in a standard sequence, but does so through asking a carefully constructed series of questions along with their individual answers.

This half-term course introduces students to problems and analysis related to the design, planning, control, and improvement of manufacturing and service operations. Class sessions involve explaining concepts, working examples, and discussing cases. A wide range of topics are covered, including: process analysis, quality management, supply chain design, procurement, and product development. Toward the end of the course, students work in teams to manage a virtual factory in a web-based simulation exercise.

This subject is a survey of the fundamental analytic tools, approaches, and techniques which are useful in the design and operation of logistics systems and integrated supply chains. The material is taught from a managerial perspective, with an emphasis on where and how specific tools can be used to improve the overall performance and reduce the total cost of a supply chain. We place a strong emphasis on the development and use of fundamental models to illustrate the underlying concepts involved in both intra and inter-company logistics operations.
While our main objective is to develop and use models to help us analyze these situations, we will make heavy use of examples from industry to provide illustrations of the concepts in practice. This is neither a purely theoretical nor a case study course, but rather an analytical course that addresses real problems found in practice.

In this project, you will explore a real-world problem, and then work through a series of steps to analyze that problem, research ways the problem could be solved, then propose a possible solution to that problem. Often, there are no specific right or wrong solutions, but sometimes one particular solution may be better than others. The key is making sure you fully understand the problem, have researched some possible solutions, and have proposed the solution that you can support with information / evidence.Begin by reading the problem statement in Step 1. Take the time to review all the information provided in the statement, including exploring the websites, videos and / or articles that are linked. Then work on steps 2 through 8 to complete this problem-based learning experience..

Students investigate the life cycles of engineered products and how they impact the environment. They use a basic life cycle assessment method that assigns fictional numerical values for different steps in the life cycle. Then they use their analyses to compare the impacts of their products to other products, and suggest ways to reduce environmental impact based on their analyses.

Managers and engineers are constantly attempting to optimize, particularly in the design and operation of complex systems. This course is an application-oriented introduction to (systems) optimization. It seeks to:

Motivate the use of optimization models to support managers and engineers in a wide variety of decision making situations;
Show how several application domains (industries) use optimization;
Introduce optimization modeling and solution techniques (including linear, non-linear, integer, and network optimization, and heuristic methods);
Provide tools for interpreting and analyzing model-based solutions (sensitivity and post-optimality analysis, bounding techniques); and
Develop the skills required to identify the opportunity and manage the implementation of an optimization-based decision support tool.