Course Standards

2026-2027 Academic Year

DRAFT CMS until August 14, 2026.

IK97 Advanced Manufacturing II SACA/MSSC Honors

Course Type: LCO

Standard/Objective NumberStandard/ObjectiveCourse WeightRBT Designation
1.00Integrate advanced workplace safety, regulatory compliance, and risk mitigation strategies.--
1.01Analyze complex safety scenarios and recommend corrective measures.8%-
1.02Develop a safety plan for a simulated production process.4%-
2.00Apply electrical, mechanical, and programmable control fundamentals to automated systems.--
2.01Interpret basic electrical schematics and identify major components.4%-
2.02Program and simulate simple PLC logic to control a trainer process.4%-
2.03Troubleshoot automation faults using systematic diagnostics methods.4%-
3.00Design and implement a quality management and continuous improvement process.--
3.01Explain key quality tools (SPC, control charts, root cause analysis).4%-
3.02Apply a basic Six Sigma or improvement cycle to a lab process to reduce defects.4%-
3.03Evaluate process data and recommend improvements to increase yield or quality.4%-
4.00Employ advanced manufacturing measurement, metrology, and inspection technologies.--
4.01Compare precision measurement tools and their appropriate applications.4%-
4.02Operate coordinate measuring or digital inspection tools and interpret results.8%-
5.00Optimize production through lean manufacturing, production planning, and systems thinking.--
5.01Map complex production systems and identify sources of waste.8%-
5.02Develop a plan to implement lean practices in a simulated cell.4%-
6.00Integrate robotics and advanced automation solutions to improve productivity.--
6.01Describe common industrial robot types and their applications.4%-
6.02Program a basic robot routine in a simulation environment.8%-
7.00Demonstrate leadership, project management, and professional communication in industry projects.--
7.01Plan and assign roles within a team for a capstone project.6%-
7.02Critique project outcomes and present recommendations to an authentic audience.6%-
8.00Apply data-driven decision making using manufacturing data and basic analytics.--
8.01Collect and visualize production data using spreadsheets or simple dashboards.8%-
8.02Interpret data trends to support process decisions and improvements.4%-
9.00Prepare for advanced career pathways and credential attainment in manufacturing technology.--
9.01Research post-secondary pathways and credential requirements relevant to advance manufacturing2%-
9.02Develop a credential and career action plan including milestones and required coursework.2%-