Professor Martin's area of expertise is focused on the application of statistics in an industrial environment, with an emphasis in six sigma, quality systems and reliability methods.
keywords
Business, Quality Improvement, Applied Statistics, Leadership, Industrial Research, Production, Operations, Manufacturing, Performance Excellence, Statistical Process Control, Process Improvement
DTSA 5704 - Managing, Describing, and Analyzing Data
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Spring 2022 / Summer 2022 / Fall 2022 / Spring 2023 / Summer 2023 / Fall 2023 / Spring 2024 / Summer 2024 / Fall 2024
This course teaches the fundamentals of understanding data and the importance of correctly classifying data. This course covers how to describe data using descriptive statistics and R software, the four probability distributions commonly used in data analysis, steps for analyzing data sets using the appropriate probability distribution, and the basics of sampling error, sampling distributions, and errors in decision-making.
DTSA 5705 - Stability and Capability in Quality Improvement
Primary Instructor
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Spring 2022 / Summer 2022 / Fall 2022 / Spring 2023 / Summer 2023 / Fall 2023 / Spring 2024 / Summer 2024 / Fall 2024
Students will learn to analyze data in terms of process stability and statistical control and why having a stable process is imperative prior to performing statistical hypothesis testing. Students will create statistical process control charts for both continuous and discrete data using R software. Students will analyze data sets for statistical control using control rules based on probability. Additionally, students will learn how to assess a process with respect to how capable it is of meeting specifications, either internal or external, and make decisions about process improvement.
DTSA 5706 - Measurement Systems Analysis
Primary Instructor
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Summer 2022 / Fall 2022 / Spring 2023 / Summer 2023 / Fall 2023 / Spring 2024 / Summer 2024 / Fall 2024
Students will learn to analyze measurement systems for process stability and statistical control and why having a stable measurement process is imperative prior to performing any statistical analysis. Students will analyze continuous measurement systems and statistically characterize both accuracy and precision using R software. Students will perform measurement systems analysis for potential, short term and long term statistical control and capability.
DTSA 5900 - Special Topics
Primary Instructor
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Summer 2021 / Fall 2021
Examines a special topic in Data Science. May be repeated up to 23 total credit hours.
EMEA 5006 - Defining, Describing and Visualizing Data
Primary Instructor
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Spring 2023 / Summer 2023 / Fall 2023 / Spring 2024 / Summer 2024 / Fall 2024
As leaders in your chosen field, you need to not only know how to ask the right questions but also answer them using data-based methods. Through this class, you'll be able to get to the bottom of what you really want to know, describe the associated data related to that question and visualize the information from that data to understand and explain the results.
EMEA 5007 - Data Acquisition, Risk and Estimation
Primary Instructor
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Summer 2023 / Fall 2023 / Spring 2024 / Summer 2024 / Fall 2024
Engineering and Business professionals often have access to many sources of data. The best way to ensure your data is both valid and reliable is to plan for it ahead of time. Through this class, you'll be able to plan for accurate and precise data generation, then use that data for the purpose of estimation and risk reduction related to capital investments.
EMEA 5008 - Data Driven Decision Making
Primary Instructor
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Summer 2023 / Fall 2023 / Spring 2024 / Summer 2024 / Fall 2024
Once we�ve generated data, we need to answer the research question by performing an appropriate statistical analysis. Engineers and Business Professionals need to know which test or tests to use. Through this class, you'll be able to plan for accurate and precise data generation, then use that data for the purpose of estimation and risk reduction related to capital investments.
EMEN 4400 - Quality Management
Primary Instructor
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Spring 2018 / Summer 2018 / Fall 2018 / Spring 2019 / Summer 2019 / Fall 2019 / Spring 2020 / Summer 2020 / Fall 2020 / Fall 2021 / Fall 2022 / Fall 2023 / Fall 2024
Examine the concepts, tools, and techniques used in managing and measuring quality and productivity in business. Topics include foundational concepts of quality, customers, the workforce, and processes. Apply the tools and techniques associated with the quality sciences, including statistical methods, design quality, measurement, control, process improvement, six sigma. Discover the basics of performance excellence management, Baldrige Award criteria, strategic planning, leadership, and daily management. Specific examples, case studies from modern companies will be studied. Same as MGMT 4400.
EMEN 5005 - Introduction to Applied Statistical Methods
Primary Instructor
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Spring 2020 / Fall 2020 / Spring 2021 / Fall 2021 / Spring 2022 / Fall 2022 / Fall 2023 / Fall 2024
Covers statistical reasoning and analysis in support of business and engineering decision making. Topics include: engineering and applied research, descriptive and inferential statistics to include estimation and hypothesis testing using both traditional parametric as well as nonparametric procedures for research situations involving one or two groups of treatment conditions. The R statistical analysis and programming system is used.
EMEN 5041 - Performance Excellence for Business and Service
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Fall 2018 / Fall 2019 / Fall 2020 / Fall 2021 / Summer 2022
Focuses on the advanced study of methods designed to maximize excellence in business performance. Includes a model to understand process and product tradeoffs, interactions with supplies, integrated manufacturing systems and meeting customer requirements while maximizing profitability. These characteristics are addressed both strategically and tactically through the use of case analysis, field study and experiential learning for production and service sectors.
EMEN 5042 - Quality Management
Primary Instructor
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Fall 2018 / Fall 2019 / Spring 2021 / Spring 2022 / Spring 2024
Focuses on the principles and practices of quality management in modern organizations. Students will develop an understanding of theories, methodologies, and tools used to achieve and maintain high levels of quality in products and services. Topics covered include Total Quality Management, Six Sigma, Lean Management, ISO 9001, and Continuous Improvement. Students will learn how to design and implement quality management systems, conduct process improvement initiatives, measure / analyze performance data, lead organizational change.
EMEN 5043 - Systems for Quality Improvement
Primary Instructor
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Spring 2018 / Spring 2019 / Spring 2020 / Summer 2021
Advanced study of methods, tools, techniques and systems associated with advanced quality applications. Includes a survey of advanced process control technologies, control schemes and measurement system analysis.
EMEN 5500 - Lean and Agile Management
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Fall 2022 / Fall 2023 / Fall 2024
Learn lean and agile concepts and tools to improve customer value, improve processes and reduce waste. Examine and apply lean and agile principles in diverse circumstances including hardware/software, product development/ongoing operations and manufacturing products/providing services. Apply your learning to improving performance in current responsibilities, whether as an individual contributor or as a manager. Degree credit not granted for this course and OPIM 6080.
EMEN 5830 - Special Topics
Primary Instructor
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Summer 2023 / Summer 2024
May be repeated up to 9 credit hours.
MGMT 4400 - Quality Management
Primary Instructor
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Fall 2018 / Spring 2019 / Summer 2019 / Fall 2019 / Spring 2020 / Summer 2020 / Fall 2020 / Fall 2021 / Fall 2022 / Fall 2023 / Fall 2024
Examine the concepts, tools, and techniques used in managing and measuring quality and productivity in business. Topics include foundational concepts of quality, customers, the workforce, and processes. Apply the tools and techniques associated with the quality sciences, including statistical methods, design quality, measurement, control, process improvement, six sigma. Discover the basics of performance excellence management, Baldrige Award criteria, strategic planning, leadership, and daily management. Specific examples, case studies from modern companies will be studied. Same as EMEN 4400.
