Graduate Courses

  • TECH 230- Six Sigma and Continuous Improvement Systems Management: This course focuses on the definition and applications of Six-Sigma quality systems for design production and business processes. The main topics include statistical methods in quality control and assurance, implementation strategies, and practical industrial applications for achieving continuous quality improvement, defect reduction, and project planning and management methods to achieve universal participation in process improvement.
  • TECH 233- Design and Analysis of Experiments: This course focuses on analysis of experimental design strategies for process and design improvement with industrial applications. Various DoE methods including single factor, multi-factor, and optimization designs are among the main topics. Statistical model building and evaluation is conducted for experimental analysis using t-tests, ANOVA, Chi-square, linear and multiple regression techniques. 
  • TECH 200- Research Methods for Engineering and Technology: This course covers current research methods applied to problems in engineering, technology, and other technical fields. The topics include details of research process, types of research methods and applications, mixed methods design, and qualitative vs quantitative methods in engineering research. Students are expected to write a mini-thesis as a final project for the course. TECH 200 serves as the GWAR (Graduation Writing Assessment Requirement) for MS students in Engineering Technology
  • TECH 298- Graduate Project: This course is the supervision for graduate study research of professional problems in engineering and technology. Admission to candidacy for the master's degree and instructor consent are required. 

Undergraduate Courses

  • TECH 177- Data Science in Industrial Systems Management: This course covers applications of descriptive, predictive, and prescriptive analyses in pattern recognition, system improvement and optimization. Topics include data mining techniques, software and tools, cybersecurity and data analytics, fundamentals of business analytics, turning data into business value, and case studies on data science applied in improving manufacturing, healthcare, and marketing industries. The focus is on informed decision-making and value creation in systems management for business and industrial leaders and practitioners.
  • TECH 145- Lean Manufacturing: This course covers practice of techniques for reducing waste to optimize the value stream in both manufacturing and non-manufacturing environments. Topics include Toyota Production System, Value Stream Mapping, 7 Wastes, 5S, Just-in-Time, TPM, Kaizen.
  • TECH 45- Facilities Design & Planning: This course covers topics on construction, planning, and maintenance of physical facilities and equipment for manufacturing operations. Further topics include sustainable practices and standards, plant facilities layout/design, regulatory and environmental compliance, safety/security, energy conservation, production line planning and OSHA and NIOSH standards.
  • TECH 31- Quality Assurance and Control: This course covers introduction to concepts and statistical methods that companies use to manage and improve quality. Topics include sampling inspection, statistical process control, quality function deployment, cost of quality, basics of design of experiment and Taguchi's method for designing in quality. Students are expected to complete a final project focusing on data analytics for quality improvement.