Computer Integrated Manufacturing Class

[Armonia Bunda]

Students in the Certificate in Computer Integrated Design and Manufacturing program take a minimum of four courses on topics such as computer-aided design, robotics, and computer-integrated manufacturing technologies and systems.

Certificate programs typically require a set of three to four courses that must be completed in three years with a minimum GPA of 3.0 on a 4.0 scale. Note: some courses in the certificate program may have prerequisites.

The Computer Integrated Machining program is designed for entry level positions in manual and computer numeric control (CNC) machining. Courses include blueprint reading, metrology, computer aided drafting (CAD), computer aided manufacturing (CAM), manual machining (mills & lathes), CNC mills & lathes. It is a trade for an individual who likes working with his or her hands.

The skill sets developed allow you to take a design concept/idea from your mind to paper (creating a blueprint) or computer (CAD drawing) and operate various pieces of equipment to manufacture that design. It allows you to take control of your concept from start to finish and have a physical object in your hands at the completion.

You will need to follow the general enrollment process for GTCC. During the advising process you will have the opportunity to indicate your desire to study within this curriculum. Your advisor will help you sign up for the specific courses you need. It is recommended that you contact a Computer Integrated Machining faculty member for specific registration information

No, not the machining classes directly and only some of the general education classes may transfer. Please see a Computer Integrated Machining faculty member for questions about transfer-friendly universities.

This program is a foundation to many different opportunities within the manufacturing/machining field. Depending on the training/degree obtained, you may work as an apprentice under a manual machinist or CNC operator.

In this specialization course in Project Lead the Way (PLTW), students are taught concepts of robotics and automated manufacturing by creating 3D designs with computer modeling software and producing computer-controlled models of their designs. Contextual instruction and student participation in co-curricular career and technical student organization (CTSO) activities will develop leadership, interpersonal, and career skills. High-quality work-based learning (HQWBL) will provide experiential learning opportunities related to students' career goals and/or interests, integrated with instruction, and performed in partnership with local businesses and organizations.

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A combination of this course and those below, equivalent to two 36-week courses, is a concentration sequence. Students wishing to complete a specialization may take additional courses based on their career pathways. A program completer is a student who has met the requirements for a CTE concentration sequence and all other requirements for high school graduation or an approved alternative education program.

The Virginia Department of Education does not discriminate on the basis of race, sex, color, national origin, religion, sexual orientation, gender identity, age, political affiliation, or against otherwise qualified persons with disabilities. The policy permits appropriate employment preferences for veterans and specifically prohibits discrimination against veterans.

This program offers training in multiple methods of manufacturing. Students will learn how to produce parts using manual mills and lathes, computer numerical control (CNC) mills and lathes, as well as rapid prototyping on a 3D printer. Students will learn to use problem solving skills and engineering knowledge to create models using CAD software, create toolpath programs/code using CAM software, and master machining skills as they relate to manual machining, CNC machining, and 3D printing. The course will also stress the importance of shop safety, the design process in regards to engineering, drawing reading, and measurement with precision tools. Additionally, this class builds upon the PLTW curriculum, and students can take the course for a second year with a different curriculum if desired. All enrolled students will have the opportunity to compete for a spot at SkillsUSA in Automated Manufacturing Technology. This course will prepare students for the manufacturing curriculum at the post-secondary level, and articulation agreements exist that allow college credits to be earned at certain colleges and universities. Students completing the course will have the opportunity to obtain entry level employment at local businesses in the fields of machining/programming and engineering technology. Articulation is available with Washtenaw Community College.

Facilities design is a broad field. The traditional aspects that are covered in this course are facility layout and facility location, which remain relevant in production systems. Increase in online shopping has highlighted that need to study effective warehouse design and automated vehicle routing methods in a warehouse. These topics will also be covered. The focus on coverage of these topics is on using quantitative methods to tackle these problems. Material from recent research papers will be used to supplement the course material.

This course covers the production management related problems in manufacturing systems. It blends quantitative and qualitative material, theoretical and practical perspectives, and thus, bears relevance for academic as well as industrial pursuits. The introduction consists of the production and operations management strategy. The topics covered include simple forecasting methods, workforce planning, inventory control, production planning, materials requirements planning, operations scheduling, and project management. Recent developments in production management such as just-in-time (JIT) inventory systems, and flexible manufacturing systems (FMS) are also discussed.

This course is concerned with the basic and important principles in computer-integrated manufacturing (CIM). Based on an understanding of modern production and manufacturing systems, the course will further introduce the use of computers for the integration of all functional areas in a manufacturing enterprise. Topics include: computer-aided design (CAD), geometric modeling and data structures, computer-aided manufacturing (CAM), computer-aided process planning (CAPP), robotics, automation, and additive manufacturing (AM). Labratory assignments are included.

Familiarizes students with the application of statistical quality problem-solving methodologies used to characterize, leverage, and reduce process variability. This course emphasizes the application of sampling methodologies, sample size determination, hypothesis testing, analysis of variance, correlation, regression, measurement systems analysis, design and analysis of saturated experimental designs, design and analysis response surface experimental designs, and statistical process control.

Familiarizes students with customer-focused, process and design six sigma quality management methods. This course emphasizes methodologies used in the identification and selection of high impact, customer-focused, quality improvement projects. Topics covered include leadership soft-skills, the mathematics behind six sigma metrics, project selection criterion, risk assessment, quality tools, and structured six-sigma problem-solving methodologies (DMAIC and DMADV).

Social network analysis is an emerging field in modern science. En route to accumulating knowledge and gaining understanding about social network structure and behavior, researchers across multiple domains engage in theoretical and applied investigations. This course is intended to review key concepts and findings with network perspectives on communicating and organizing. It will rely on scholarship on the science of networks in communication, computer science, economics, engineering, organizational science, life sciences, physical sciences, political science, psychology, and sociology, with the purpose of taking an in-depth look at theories, methods, and tools to examine the structure and dynamics of networks.

This course provides an overview of modeling techniques and methods used in decision making with uncertainty, including multi-attribute utility models, influence diagrams, decision trees, and Bayesian models. Psychological components of decision making are discussed. Elicitation techniques for model building are emphasized. Practical applications through real world model building are described and conducted, including business management, supply chain and logistics, transportation, health care, architectural design, and homeland security. Each student will work on a separate project throughout the semester, including presentations and written reports.

This course aims to provide students with a general background of various statistical analysis techniques and data mining methods that are used in transportation systems. It covers various practical analytical topics in transportation and logistics, including model estimation, data analysis, traffic forecasting, and incident prediction. A broad range of transportation related techniques are covered in statistics and data analysis skills, such as Logistic Regression, and Time Series Modeling. Popular statistical modeling software will be used to solve various practical problems.

This course discusses the principles of green manufacturing including (1) lower usage of materials and energy (2) substitution of non-renewable with renewable input materials (3) reduce unwanted outputs/waste (4) close the loop (convert outputs to inputs through recycling, recovery, reuse) (5) re-engineering the structure of the systems through revised supply chain structure and changing the ownership concept in the system (introduction of product service systems).

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