2022-2023 Course List

This course covers the following topics: Manufacturing system integration techniques, Computer-Aided Design/ Computer-Aided Manufacturing (CAD/CAM), Computer-Aided Process Planning (CAPP), Direct Numerical Control (DNC), Flexible Machining Systems (FMS), Automated storage and Retrieval Systems (ASRS), Automated Guided Vehicles (AGV) and Robotics.

Selected manufacturing topics. May be repeated for credit with different topics, with advisor's approval.

Research topics and methods related to manufacturing. The course will look at the current state of manufacturing and explore the research methods and experimental design procedures that are used in the area of manufacturing. Students will evaluate past research and will also design a research project in manufacturing.

Advanced Project Management presents in-depth topics in the management process of prioritizing, planning, staffing, managing, and directing projects. Both people skills and advanced management tools will be addressed, along with advanced project evaluation techniques.

Basics of Six Sigma from an industrial perspective. Emphasis is on practical application of concepts. Upon completion of course, the student will be familiar on a working level with Six Sigma tools leading to Green Belt certification level.

This seminar covers many of the advanced quality tools used in manufacturing and automotive industries. The emphasis is evenly divided between practical applications and theory. Upon completion, students will have an understanding of how these tools are used and why.

An advanced graphics course which emphasizes the study of AutoCad software, related software, and their applications. Emphasis is on CAD systems, software customizing, and a review of current trends in CAD as used in contemporary industry.

This course emphasizes the following topics: Factorial designs, robust parameter design, Taguchi methods in Technology and product development, and other design and analysis topics.

A study of modern manufacturing processes. The recent developments in manufacturing affect everyone in the factory, from the designers and manufacturing engines to the machine operators. New technologies, automation, the use of the computers in design, process control, and inspection create complex industrial or plant environment.

This course includes the following topics: Advanced CNC programming, computer-aided manufacturing (CAM), flexible automations, robotics, and programmable logic controllers. Extra lab time is required.

Selected manufacturing topics. May be repeated for credit with different topics, with advisor's approval.

A total of two credits is required to complete the APP option.

Manufacturing work experience in an area pertinent to the student's objective. Registration required prior to beginning employment.

An integral part of every Professional Science Masters degree, regardless of field, is the Capstone, develop a workforce project, produce a written report, and present it as an oral report.The capstone project is developed and supervised collaboratively by faculty and employers, and evaluated or graded by faculty with input from the employer. For a student who is not already employed, a semester-long internship with a private firm or public agency is established. The intent of the Capstone is to integrate the practical application of scientific and professional knowledge, behavior, and skills.

A total of three credits is required to complete the thesis option.

This course examines basic management concepts and principles, their historical development, and their application to modern organizations. Topics covered include planning, organizing, decision making, leadership, control, and organizational change. In addition, the course includes an introduction to business ethics and social responsibility, human resource management, organizational design and organizational behavior.

This course is designed to introduce students to the Management Information Systems and its application in organizations. The course will present to the students the information systems role to support the various managerial activities, and to help the students identify and evaluate various options in Management Information Systems.

Prerequisites:

ISYS 101 or CIS 101

This course is designed to develop a students personal creativity and help a student identify the process of organizational innovation. The course is comprised of a combination of short lecture, in-class discussion of readings and videos, writing assignments, an elevator pitch and group activities.

This course examines the effective management of the human resources of organizations. Topics include analyzing jobs and writing job descriptions; recruiting and hiring of applicants; complying with employment law; managing promotions, quits, and layoffs; employee training and development; evaluating job performance; determining compensation; and managing human resources in a unionized environment.

This course engages students in the study of the operations management function in manufacturing and service organizations. Students learn how to apply the basic analytical models to operation decisions involving topics such as scheduling, production technology, inventory management, quality assurance, just-in-time production, and others.

Prerequisites:

ECON 207 

This course examines basic business concepts and principles and their application to modern and future agriculture industries. Agribusiness topics covered include commodities, supply chain, finance, sales, accounting, law, engineering, food safety, healthcare, data analysis, and technology. Professionals in the agriculture industry will be brought into class to explain how business knowledge and skills are essential to various sectors; including but not limited to: livestock, poultry, corn/soybeans, bio-fuels, engineering, and natural resources. Students will have an opportunity to broaden their thinking, understanding, and professional potential as related to the agriculture industry while interacting with industry professionals.

Concepts, theories, and empirical research on organizational behavior are studied. Models and tools for diagnosing situations, individual behavior, group behavior, intergroup conflicts, supervisory problems and organizational change are analyzed.

This course introduces a scientific approach to modeling and solving managerial decision problems. It includes such topics as linear and integer programming, network models, waiting-line models, simulation analysis, and decision theory.

This course addresses business professionalism issues such as: work ethic, time management, civility, diplomacy, and planning career changes.