9 courses with the subject TEM, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
TEM 501Engineering Project Management3
This course explores a wide variety of production and operations management topics. Topics considered include managing operations related to production planning processes and systems for manufacturing industries, managing operations related to service organizations, strategy, and competitiveness for manufacturing and service organizations.
TEM 502Data-Driven Decision Making and Risk Analysis3
This course will familiarize students with the various operations research tools and techniques used in managerial decision-making. Primarily, linear programming methods will be discussed, although other important topics such as transportation problems, technical forecasting and inventory control, and network problems will be covered.
TEM 503Process Improvement and Applied Analytics with Lean Six Sigma3
This course addresses the need of engineering management students to acquire an understanding of quality management. This course will cover basic quality concepts, quality theories, and quality standards. Moreover, the course provides a concise description of the main quality tools used in manufacturing and service environments and covers a basic review of statistics. Course topics include total quality management topics and quality tools. Some of the management topics are total quality management, quality and global competitiveness, and strategic management. In addition, quality tools include ISO 9000, total quality tools, quality function deployment, statistical process control, and Six Sigma.
Success in leading people and managing performance demands that you understand how workgroups operate and what motivates employees, as well as a candid assessment of your own personality and style. This course aims to help you understand the general principles and processes of effective leadership so that you can lead in a wide variety of organizational situations. Leadership development is relevant for any student pursuing a managerial career and is particularly relevant to students who already hold leadership positions in their organizations. Topics will focus on aspects of interpersonal behavior, including personality, leadership, teamwork, and conflict management. We will also take a more macro perspective, examining firm-level issues such as power and influence, culture, and organizational congruence. Within these broad categories, we will examine specific theories and models that have been used to describe and predict behavior in organizations, as well as examples of successful and unsuccessful behavior in organizations. We will use readings from the business and academic press as primary resources, and students are expected to bring additional examples to the classroom, either from personal experience or reading of the business press. Prerequisites TEM 501 , LDR 620
TEM 521Artificial Intelligence, Informatics, and Cybersecurity3
This course gives an overview of the Industry 4.0 concepts of Artificial Intelligence (AI), Industrial Informatics, and Cybersecurity. Students will learn how to use data to make decisions, create easy-to-interpret graphics, and secure their data. Popular industrial software (e.g., Azure, JMP, etc.) will be employed for hands-on experience. Prerequisites TEM 501 , TEM 502 , TEM 503
TEM 522Additive Manufacturing, Smart Manufacturing, and Robotics3
This course gives an overview of the Industry 4.0 concepts of Additive Manufacturing (AM), Smart Manufacturing, and Robotics. Students will learn modern AM processes, their benefits, and their limitations. Smart and agile manufacturing topics will then be covered. Finally, the use of autonomous robots in industry to support smart manufacturing and logistics will be covered. Prerequisites TEM 501 , TEM 502 , TEM 503
This course gives an overview of the Industry 4.0 concepts of the Internet of Things (IoT), Simulation, and Digital Twins. Students will learn about sensors, sensor arrays, and data acquisition with respect to IoT in the manufacturing environment. The focus will then shift to creating digital twins of processes and products to study potential improvements and track real products after leaving the factory. Finally, students will use popular simulation software (e.g., Arena, Simul8) to conduct simulations of processes and process improvement. Prerequisites TEM 501 , TEM 502 , TEM 503
This culminating course of the MS program synergizes the concepts from the core courses to an application utilizing the chosen electives. The student will choose an appropriate project in consultation with a research faculty advisor or a workplace supervisor (in conjunction with a faculty liaison). The project should be relevant to the partner company and propose an improvement based on concepts gained during the MS program. In this course, you will prepare a proposal for a project that you will execute in TEM 681. This proposal will include a timeline, relevant background research, defined deliverables, and a full plan of implementation. Prerequisites EGR 501 , LDR 620 , MBA 506 , TEM 501 , TEM 502 , TEM 503 21 completed credits in the TEM program
This culminating course of the MS program synergizes the concepts from the core courses to an application utilizing the chosen electives. The student will choose an appropriate project in consultation with a research faculty advisor or a workplace supervisor (in conjunction with a faculty liaison). The project should be relevant to the partner company and propose an improvement based on concepts gained during the MS program. The implementation of the project should take at least 120 hours. In this course, you will execute the project proposed in TEM 680 . You will make a final presentation and prepare a final report. Prerequisites TEM 680
