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  • 2.00 Credits

    This course will provide students with a strong overall understanding of the many safety practices and requirements as they relate to industrial settings. Theoretical concepts will focus on current safety standards determined by OSHA and other current industrial safety practices. Students will gain a general understanding of safety concerns and practices in the manufacturing sector, which will provide a solid foundation for safe working habits.
  • 2.00 Credits

    A study of practical descriptive geometry as used by the draftsperson. Includes the theory of auxiliary view, true length, shape, and point of intersection developed from point-line-plane through the use of revolution; introduces methods for the graphical solution of vector problems.
  • 3.00 Credits

    This course will provide the student with an introduction to manufacturing and machining. Topics covered focus on building skills that prepare the student to enter the world of manufacturing. The course has lecture and laboratory components that focus on teaching basic machining setups, safety and operations. Students participate on manually operated machinery to learn drilling, turning, and milling. Additional topics will focus on National Institute for Metalworking Skills and certifications in job planning, benchwork, layout, measurement, materials, safety, and the drill press.
  • 3.00 Credits

    This course is designed to provide the student with theoretical and selected performance projects for Level One NIMS standards dealing with various manufacturing operations and processes. The degree of exposure to individual operations and processes will range from assigned textbook and reference readings to laboratory exercises. Topics of coverage will include inspection, hot and cold forming, welding, fastening, machining, casting, molding, finishing, assembly, material handling, packaging, process flow, planning, economic justification and related topics. Conventional and newer methods of production will be covered with an emphasis of how computerized equipment can be integrated into the factory environment. Field trips to various industries will supplement instruction.
  • 3.00 Credits

    Introduction to computer programming with an emphasis on Visual BASIC. Students will learn the fundamentals of effective programming as they work with the lasts features of Visual Basic developing VB applications using real-world examples and practical exercises
  • 3.00 Credits

    This foundational course introduces students to the principles and practical applications of Artificial Intelligence (AI) with a strong focus on its transformative role in manufacturing and industrial environments. Designed for students without prior AI experience, the course covers essential AI concepts, including machine learning, predictive maintenance, generative AI applications, and an overview of various industrial AI tools and platforms. Students will explore the history and evolution of AI, understanding how it has developed to enhance decision-making, automate processes, and improve productivity across diverse industrial sectors. Through hands-on projects and real-world case studies, students will analyze AI's applications in manufacturing, focusing on areas such as quality control, predictive maintenance, and process optimization. By the end of the course, students will have a solid foundational understanding of AI's impact on modern industry and its potential to drive innovation and efficiency.
  • 3.00 Credits

    This course provides a comprehensive exploration of AI applications tailored specifically for manufacturing environments. Through a combination of lectures, case studies, hands-on projects, and industry guest speakers, students will gain a deep understanding of how AI technologies can be utilized across various facets of manufacturing, including production planning, predictive maintenance, quality control, supply chain management, and autonomous systems. They will learn how AI algorithms can analyze large datasets to uncover patterns, predict equipment failures before they occur, optimize production schedules, and enhance product quality. By the end of the course, students will be equipped with the knowledge and practical skills necessary to leverage AI effectively in manufacturing environments, empowering them to drive innovation, improve operational efficiency, and gain a competitive edge in today's rapidly evolving industrial landscape.
  • 3.00 Credits

    This course provides the fundamentals of machine learning (ML) with a focus on core principles, methodologies, and applications in various fields, specifically manufacturing. Building on foundational AI knowledge, students will explore advanced ML concepts, including supervised, unsupervised, and reinforcement learning. Key topics include data processing, model training and evaluation, and performance metrics essential for industry applications. Through project-based learning, students will gain practical experience in designing, training, and deploying ML models, preparing them for advanced AI/ML roles or further academic study.
  • 3.00 Credits

    This course is designed to provide instruction on industrial robots and the work cell systems in which they operate. Robots and associated cell equipment will be defined and classified. The advantages and disadvantages of various pieces of equipment and various systems will be discussed. An overview of sensors and programming languages will be provided. Basic accident prevention, practices and procedures, as well as human factors associated with robots and automated systems will also be addressed.
  • 3.00 Credits

    This course is designed to provide the student with knowledge and hands-on experience with programmable logic controllers. To round off the students' educational experiences, drum sequence controllers, programmable logic controllers, as well as an introduction to programmable industrial computers (PICs) will be covered. Topics of coverage will include coding of information, decision-making concepts, hardware, software, installation, start-up, maintenance, data highways, and selection of programmable logic controllers (PLCs).
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