Graduate Courses
Technology

Course Description: This course will direct graduate students in the School of Technology to acquire the necessary skills to complete the graduate program successfully. Students will participate with School of Technology faculty to plan their graduate career and prepare graduate studies portfolios.
Semester/Terms Taught: Fall and Spring Semesters
Program Requirement: Core course for the MS in Technology program.
Delivery Methods: Face to Face and Hybrid; occasionally online.
Textbooks:
As assigned per the course instruction given.
Additional readings provided on the Learning Management System (LMS).
Course Objectives: At the conclusion of the course the student will be able to:
1. Complete a graduate Plan of Study.
2. Differentiate thesis and non-thesis options.
3. Investigate School of Technology areas of study and graduate certificates.
4. Utilize APA citation format correctly and effectively. (APA manual is the course text).
5. Effectively navigate online course learning management systems. (LMS).
6. Apply ethics and academic integrity as it relates to graduate studies, papers, and research.
7. Utilize university resources that advance the graduate school experience.
Student Assignments: Participation; attendance; quizzes; development of a Plan of Study; APA/Library/Plagiarism assignments; and LMS discussions.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: This course focuses on forces transforming leadership science, processes, and skills in today’s technological society; leadership theories; implication of fundamental changes taking place in the workplace; and leadership, characteristics, competencies, and challenges.
Semester/Terms Taught: Fall and Spring Semesters
Program Requirement: Core course for the MS in Technology program. Core course for both the Work Performance Improvement and Quality Systems certificate programs.
Delivery Methods: Face to Face and Hybrid; occasionally online.
Textbooks:
Hughes, R. L., Ginnett, R. C., & Curphy, G. J. (2015). Leadership: Enhancing the lessons of experience (8th ed.). New York: McGraw-Hill/Irwin.
Hirsh, S. K., & Kummerow, J. M. (1998). Introduction to type in organizations (3rd ed.). Palo Alto: CCP Press. Mountain View, CA:CCP, Inc.
Course Objectives: At the conclusion of the course the student will be able to:
1. Identify multiple theories or models of leadership and describe how each impacts leadership roles and expectations; personal leadership characteristics; and the competencies and capabilities for leaders.
2. Determine the functions, knowledge, and skills that managers and leaders need to achieve individual and organizational goals.
3. Analyze how the past and present theories, models, and related research of leadership can guide leader behavior and development.
4. Apply Psychological Type Theory (MBTI) and how personality profiles influence leadership and management styles, strengths, and strategies for leadership success.
5. Develop skills necessary to practice critical self-reflection as a tool for professional learning and growth.
6. Assess their own competencies as leaders against theories, models, research, and proven practices of leadership and devise and defend an action plan for personal leadership development.
Student Assignments: Leadership Meeting report; Leaderships journals; In-class group activities; individual presentation, group presentation; quizzes; mid-term exam; and final exam.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: Study of principles, practices, tools, techniques, and systems for total quality management in industrial or service organizations.
Semester/Terms Taught: Fall and Spring Semesters
Program Requirement: Core course for the MS in Technology program and the Quality Systems certificate.
Delivery Methods: Face to Face and Hybrid; occasionally online.
Textbooks: David L. Goetsch and Stanley B. Davis, Quality Management for Organizational Excellence: Introduction to Total Quality (8th edition), Pearson Education: NJ, 2016.
Course Objectives:
1. Define total quality management.
2. Identify the principles of total quality management.
3. Describe the practices of total quality management.
4. Assess the tools and techniques of total quality management.
5. Summarize contemporary systems standards for total quality management.
6. Design and develop a total quality system.
7. Demonstrate problem solving skills dealing with total quality management.
8. Project leadership skills dealing with total quality management.
9. Write a research paper relevant to total quality principles and/or practices.
10. Facilitate a discussion on quality tools or practices.
11. Appraise teamwork principles and practices including communication.
Student Assignments: Class exercise and participation; team-facilitated discussion; research paper; team work on quality systems development; peer evaluation and responsibility sharing; quality systems manual by team work; presentation on total quality system, mid-term exam; and final exam.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: A study of the research methods, processed and tools used for conducting experimental and non-experimental research in technology. Emphasis will be on design, analysis, and reporting of experimental and non-experimental research.
Semester/Terms Taught: Fall and Spring Semesters
Program Requirement: Core course for the MS in Technology program.
Delivery Methods: Face to Face and Hybrid; occasionally online.
Textbooks:
Leedy, P.D. and Ormrod, J.E. (2016). Practical Research: Planning and Design. Pearson Education.
Additional readings provided on the Learning Management System (LMS).
Course Objectives: At the conclusion of the course the student will be able to:
1. Generate research problem statements.
2. Use the reference area of the library, interlibrary loan services, and computerized databases to locate relevant articles on a selected topic.
3. Execute a literature review.
4. Formulate a hypothesis statement.
5. Critical read reviews of research and critique as to:
a. Definition of a topic or problem
b. Adequacy of prior reviews in the area
c. Selection of studies to be reviewed
d. Analysis of study findings and pertinent characteristics
6. Develop a system for collecting data about the characteristics and results of previously conducted research.
7. Analyze this collected data and interpret and report the results.
8. Use APA standards when writing a literature review.
9. Develop a deliverable Research Portfolio that can be used in further research.
10. Define ethical and legal constraints on research.
Student Assignments: Attendance; participation; discussion; assignments (in-class and take-home); research briefs; quizzes; and final project/portfolio/presentation.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: A study of global technology as affected by factors, such as social-cultural structures, economic conditions, governmental decision-making, and corporate-managerial strategies. The emergence of technology from its beginning to its present status will be the common topic for all reading, writing, and discussion.
Semester/Terms Taught: Fall and Spring Semesters
Program Requirement: Core course for the MS in Technology program.
Delivery Methods: Face to Face and Hybrid; occasionally online.
Textbooks:
Markert, L. R., and Backer, P. R. (2010). Contemporary Technology, 5th ed. Tinley Park, IL, GoodheartWilcox Publisher.
Ferraro, G. P. (2002). The Cultural Dimension of International Business, 4th ed. Upper Saddle River, New Jersey: Prentice Hall. (Online via the Learning Management System (LMS)).
Additional readings provided on LMS.
Course Objectives: The purpose of this course is to develop an awareness of the interaction relation between technology and the development and direction of society.
Technology Innovation. Analyze the transformational impact of new and emerging technologies in the context of global cultures. Evaluate new technology adoption opportunities and risks, barriers to implementation, and technology life cycles.
Organizational Culture. Identify and analyze the human resource issues in global organization including but not limited to communication, diversity, culture, ethics, and leadership.
Technology and Society. Critique the transformational impact of new and emerging technologies on lifestyle choices and cultures. Relate emerging technologies with their impact, implications, costs, and benefits or detriments to global society.
Student Assignments: Weekly discussion board post; weekly reflection papers; article synopsis papers; classroom presentations; miscellaneous assignments; and final exam paper.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: This course emphasizes the skills needed to effectively analyze issues within talent development. Analysis of issues related to the integration of training and development, organization development, and career development to improve individual, group, and organizational effectiveness; components, standards, ethical requirements, and competencies associated with human resource development.
Semester/Terms Taught: Fall Semester
Program Requirement: Core course for the MS in Talent Development program. Core course for the Training Development certificate program.
Delivery Methods: Online.
Textbooks:
Adams, R. E., Hogan, R. L., & Steinke, L. J. (2018). DACUM: The Coordinator’s Guide to Occupational Analysis. Wilmington, DE: Edwin & Associates, LLC.
Additional readings provided on LMS.
Course Objectives: At the conclusion of the course the student will be able to:
1. The learner will be able to outline the overall need for analysis within developing effective training programs.
2. The learner will be able to perform the role of coordinator in conducting an occupational analysis.
3. The learner will be able to provide orientation to expert workings and review the occupation during an occupational analysis.
4. The learner will be able to guide the development of General Areas of Competence during an occupational analysis.
5. The learner will be able to guide skill definitions for each skill band during an occupational analysis.
6. The learner will be able to avoid personal traps all coordinators face during an occupational analysis.
7. The learner will be able to recognize and correct skill analysis errors.
8. The learner will be able to structure and sequence skill bands on a DACUM chart.
9. The learner will be able to conduct a final review and establish a title of a DACUM chart.
Student Assignments: Weekly discussion board post; weekly assignments; and other assignments as directed by the instructor.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: This course is a study of integrated systems model and methods used by training and development professionals to ensure that employees have the knowledge, skills, motivation, and environmental support to do their jobs effectively by developing and managing work performance systems.
Semester/Terms Taught: Fall Semester
Program Requirement: Core course for the MS in Talent Development program. Core course for the Work Performance Improvement certificate program.
Delivery Methods: Online.
Textbooks:
Van Tiem, .D.M, Moseley, J.L., & Dessinger, J.C. (1999). Fundamentals of performance improvement: A guide to optimizing results through people, processes, and organizations (3rd ed.). San Francisco: Pfeiffer/ISPI.
Additional readings provided on LMS.
Course Objectives: At the conclusion of the course the student will be able to:
1. Define Human Performance Technology in terms of its integrated theoretical and research-based framework.
2. Discuss the benefits of using a human performance systems approach to organizational change and quality improvement compared to a traditional training and development approach.
3. Define and apply systems approaches for designing, developing, and improving human performance systems.
4. Describe human performance interventions including front end analysis and other needs assessment processes for determining the cause of the performance system problems.
5. Describe and illustrate an understanding of performance improvement.
Student Assignments: Weekly discussion board post; weekly assignments; and other assignments as directed by the instructor.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: This course examines the core principles of consulting in the area of performance improvement. It will explore the techniques of consulting for performance improvement and will provide indepth practice of knowledge and skills necessary to successfully practice consulting for performance improvement. This course is designed for the application of performance improvement models to analyze, implement, and evaluate real workplace issues.
Semester/Terms Taught: Summer Term
Program Requirement: Core course for the MS in Talent Development program.
Delivery Methods: Online.
Textbooks:
Block, Peter (2011). Flawless consulting: A guide to getting your expertise used. 3rd ed. San Franscio, CA. Wiley.
Additional readings provided on LMS.
Course Objectives: At the conclusion of the course the student will be able to:
1. The learner will be able to facilitate, navigate, and evaluate contracting meetings with clients for performance improvement.
2. The learner will be able to diagnose performance issues within an organization based upon appropriate theories, models, and collected data.
3. The learner will be able to identify and negotiate with resistance within performance improvement consulting sessions.
4. The learner will be able to implement and manage interventions to address performance problems.
5. The learner will be able to provide informative feedback based on collected data for clients for a variety of performance improvement issues.
Student Assignments: Weekly discussion board post; weekly assignments; and other assignments as directed by the instructor.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: Examination of the systems approach to instructional design in training. Students will analyze and apply the major components of instructional systems design, including deeds analysis, design, development, implementation, and evaluation of training instruction.
Semester/Terms Taught: Spring Semester
Program Requirement: Core course for the MS in Talent Development program. Core course for the Training and Development certificate program.
Delivery Methods: Online.
Textbooks:
Adams, R. E., Hogan, R. L., & Steinke, L. J. (2018). DACUM: The seminal book (2nd Ed.). Wilmington, DE: Edwin & Associates, LLC.
Additional readings provided on LMS.
Course Objectives: At the conclusion of the course the student will be able to:
1. Describe the major elements in instructional systems design, and the structure of instructional systems design as a professional field of practice.
2. Create program development grids to determine the necessary materials for developing learner competencies and skills within an occupation.
3. Design and develop varies printed materials and resources needed to enable learners to demonstrate skill performance
4. Create audio-visual materials needed to enable learners to demonstrate skill performance.
5. Design and exhibit Learning Activity Batteries (LABs) based on effective instructional design techniques.
Student Assignments: Weekly discussion board post; weekly assignments; and other assignments as directed by the instructor.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: This course focuses on the development and implementation of employee development strategy in today organizations. The course reflects both a growing awareness of the strategic implications of employee development and linkages to broader strategic decisions.
Semester/Terms Taught: Spring Semester
Program Requirement: Core course for the MS in Talent Development program. Core course for the Work Performance Improvement and Training and Development certificate programs.
Delivery Methods: Online.
Textbooks:
Gilley, J. W. & Maycunich, A. (2000). Organizational learning, performance, and change: An introduction to strategic human resource development. Cambridge, MA: Perseus Publishing.
Additional readings provided on LMS.
Course Objectives: At the conclusion of the course the student will be able to:
1. Describe the strategic role of employee development in organizations.
2. Describe external and internal factors influencing employee development strategy.
3. Analyze organizations to assess employee development implications of their strategic plans and recommend corresponding employee development strategies.
4. Create an employee development plan.
5. Produce scholarly research on topics related to organizational improvement.
6. Present scholarly research and facilitate discussion.
Student Assignments: Weekly discussion board post; weekly assignments; and other assignments as directed by the instructor.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: Construction of measures of assessment for cognitive skills, psychomotor performance, affective behavior, and portfolios in career subject areas; statistical procedures for interpretation and use of test and performance measurements.
Semester/Terms Taught: Spring Semester
Program Requirement: Core course for the MS in Talent Development program. Core course Training and Development certificate program.
Delivery Methods: Online.
Textbooks:
Phillips, J.J. (1997). Handbook of training evaluation and measurement methods. Houston: Gulf Publishing.
Additional readings provided on LMS.
Course Objectives: At the conclusion of the course the student will be able to:
1. Students will define the role of assessment and evaluation in workforce preparation programs.
2. Students will plan and develop written test items appropriate for testing Bloom's cognitive level of achievement and will understand proper techniques for test administration and evaluation.
3. Students will develop performance measures designed to determine the levels of achievement toward meeting identified tasks, skills, outcomes, or standards necessary to gain and maintain employment.
4. Students will develop assessment instruments that are suitable for measuring affective performance in a work environment.
5. Students will score, report, and interpret the results of tests and performance measures.
6. Students will interpret methods used for alternative evaluation and be able to apply those methods in work related programs.
7. Students will select data necessary to include in an evaluation of a career and technical education program.
Student Assignments: Weekly discussion board post; weekly assignments; and other assignments as directed by the instructor.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: Study of advanced data communications and networking hardware and software for applications in industry including standards, architecture, operations, system maintenances, and management.
Semester/Terms Taught: Fall, Spring Semesters and Summer Term
Program Requirement: Core course for the Computer Technology certificate program. Elective course for the Cybersecurity certificate program.
Delivery Methods: Face to Face and Hybrid; occasionally online.
Textbooks:
Doherty J., Anderson, N. and Maggiroa, P. Cisco Networking Simplified (2nd Edition)
Additional readings provided on LMS.
Course Objectives: At the conclusion of the course the student will be able to:
1. Develop a working knowledge of the principles of data communications including standards used, topologies available, and hardware necessary to implement local and wide area networking used in industry.
2. Develop a working knowledge of local area networking hardware and software as it applies to various situations.
3. Gain practical experience with local area networking hardware and software as it applies to various situations.
4. Develop a working knowledge of the principles of switching theory and telephone systems as needed by industries in worldwide communications.
5. Research the characteristics of wide area networking techniques and technologies that could be used by industries to create a data communications system.
6. Apply the principles of wide area networks including the topology, hardware, and software needed to create a data communications system.
7. Develop a working knowledge of the principles of optimizing and troubleshooting local and wide area networks.
8. Apply the principles of optimizing and troubleshooting local and wide area networks to data communications networks.
9. Develop a working knowledge of the principles of switching, routing, and security that are necessary for wide area networking to exist in various environments.
10. Research the latest advanced networking concepts and management techniques necessary for a worldwide operation.
11. Develop leadership, problem solving, and communication skills for dealing with integrating networking and advanced data communications technologies into various settings.
Student Assignments: Homework assignments, Project, and Examinations
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: This course focuses on issues and forces influencing management decisions regarding computer technology. Case problems, software simulations, and site visits provide insight to the operations of computer technology.
Semester/Terms Taught: Fall, Spring Semesters and Summer Term
Program Requirement: Core course for the Computer Technology and Cybersecurity certificate programs.
Delivery Methods: Face to Face and Hybrid; occasionally online.
Textbooks:
Turban, E. and Volonino, L. (2015). Information Technology for Management, 11th Ed. Hoboken, NJ: John Wiley and Sons.
Additional readings provided on LMS.
Course Objectives: At the conclusion of the course the student will be able to:
1. Students are expected to know how new technologies influence businesses.
2. Identify what type of support a business decision maker need to provide to different types of technologies.
3. Evaluate the value and importance of different technologies and types of data.
4. Evaluate and report on informational technology cost, benefits, and performance.
5. Solve and present findings of several case problems related to computer technology systems.
Student Assignments: Article reviews; weekly discussions; project and presentations; and group evaluations
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: Multimedia and web technologies for applications in contemporary industry are introduced. Collaborative teamwork in the design and development of interactive technology-based projects is emphasized.
Semester/Terms Taught: Fall, Spring Semesters and Summer Term
Program Requirement: : Core course for the Computer Technology certificate. Elective course for the Cybersecurity certificate program.
Delivery Methods: Face to Face and Hybrid; occasionally online.
Textbooks:
Required readings provided on LMS.
Course Objectives: At the conclusion of the course the student will be able to:
1. Demonstrate principles of design, development, and evaluation relevant to the creation of interactive technology programs. Topical areas include (but are not limited to) defining project goals and requirements, media selection, digitization, storyboarding, interface design, assessment, and outsourcing.
2. Formulate a working definition of interactive multimedia and hypermedia.
3. Identify the advantages and disadvantages of multimedia and hypermedia applications for training, information dissemination and analysis, and communications.
4. Research the characteristics of widely used types of hardware and software for developing multimedia and hypermedia applications.
5. Use appropriate file formats for graphic and video/audio production.
6. Use streaming technologies, including hardware, software, and network systems for the development and distribution of media.
7. Discuss issues related to copyright law, public domain, fair use, and multimedia copyright.
8. Use an authoring program (this is negotiated by the student with the instructor and depends on the development project).
9. Participate in team efforts to develop a final project.
10. Participate in local (e.g., EIU listserv) and external (e.g., Web) electronic discussion groups on multimedia and hypermedia topics.
11. Use the Internet and Web for the exchange and transfer of information in digital form.
Student Assignments: Class participations; weekly discussions; assignments; projects; and examinations.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: A study of technology for cybersecurity and on cryptographical principles and applications.
Semester/Terms Taught: Fall, Spring Semesters.
Program Requirement: : Core course for both the MS in Cybersecurity program and the Cybersecurity certificate programs. Elective course for the Computer Technology certificate program.
Delivery Methods: Face to Face and Hybrid; occasionally online.
Textbooks:
Conklin and White (2018). Principles of Computer Security, CompTIA Security+ Exam SY0-501. 5th Edition, McGraw Hill.
Additional readings provided on LMS.
Course Objectives: At the conclusion of the course the student will be able to:
1. Design/describe the appropriate computer security layouts for different applications.
2. Apply computer risk assessment and computer vulnerability analysis techniques.
3. Identify cryptography principles and the public/private key infrastructure.
4. Demonstrate skills and knowledge to set up conventional WANs, LANs, servers, Routers and Firewalls to assure computer and network security.
5. Analyze issues related with information security, homeland security and their repercussions in today’s world.
Student Assignments: Laboratories; homework assignments; mid-terms; and final examination.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: A study on unimodal and multimodal biometric security assurance technology applied to surveillance and identification.
Semester/Terms Taught: Fall, Spring Semesters.
Program Requirement: : Core course for both the MS in Cybersecurity program and the Cybersecurity certificate programs. Elective course for the Computer Technology certificate program.
Delivery Methods: Face to Face and Hybrid; occasionally online.
Textbooks:
Jain, Flynn (2008). Handbook of Biometrics, Springer Publications Company.
Bolle, R., and Connell, J. (2004). Guide to Biometrics, Springer-Verlag, New York, NY.
Additional readings provided on LMS.
Course Objectives: At the conclusion of the course the student will be able to:
1. To design the appropriate biometric security layouts for different case of studies.
2. To research and apply national and international laws related to biometric security.
3. To Apply risk assessment and facility vulnerability analysis techniques in order to implement the appropriate biometric security solution.
4. Review the current National Institute for Standards and Technology (NIST) standards about biometrics.
5. Identify the current and more trusted equipment and vendors in biometric solutions.
6. Discuss issues related with biometric security, homeland security and repercussions in today’s world.
Student Assignments: Homework assignments; research project; mid-terms; and final examination.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: This course covers Big Data and Data Science and related concepts to Big Data such as Hadoop, Map-Reduce, Combiners, Tool Runners, etc. Implementation of Map-Reduce programs and Hadoop eco system will also be part of the course.
Semester/Terms Taught: Fall Semester.
Program Requirement: : Elective course for the Computer Technology and Cybersecurity certificate programs.
Delivery Methods: Face to Face and Hybrid; occasionally online.
Textbooks:
There is no mandatory textbook for this course. However, readings will be posted on the LMS as provided by the course instructor.
Course Objectives: At the conclusion of the course the student will be able to:
1. Demonstrate the basic concepts of Big Data and Data Science.
2. Demonstrate basic knowledge of the core tools to analyze Big Data.
3. Demonstrate basic knowledge of Map-Reduce.
4. Query and explore data and identify the different kinds of analysis that can be applied to big data.
5. Demonstrate the basic understanding of data network structure, data clusters and graph analytics.
6. Build and demonstrate a project for a Big Data ecosystem.
Student Assignments: Class attendance; weekly lab assignments; quizzes, and final project
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: This course provides introduction to software engineering principles, software development life-cycles, and modelling in software engineering, to analyze and design a software system. Current techniques, notations, methods, processes, and tools used for system analysis and design using UML modelling are also included.
Semester/Terms Taught: Spring Semester.
Program Requirement: : Elective course for the Computer Technology and Cybersecurity certificate programs.
Delivery Methods: Face to Face and Hybrid; occasionally online.
Textbooks:
There is no mandatory textbook for this course. However, readings will be posted on the LMS as provided by the course instructor.
Course Objectives: At the conclusion of the course the student will be able to:
1. Demonstrate a working knowledge UML 2.0.
2. Apply knowledge of OOAD to design an object-oriented system which can be implemented in an object-oriented language.
3. Comprehend the meaning of most UML notations and when to use them.
4. Demonstrate the industry best practices to build UML.
5. Interpret any UML diagram effectively.
6. Acquire knowledge to increase software development productivity.
7. Demonstrate in-depth understanding of a UML class diagram.
8. Basics of domain modeling and its importance.
Student Assignments: Class attendance; weekly lab assignments; examinations, and projects.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: A course in the fundamental concepts, principles, and tools involved in Lean Manufacturing, including utilizing lean across industries as well as its implementation.
Semester/Terms Taught: Fall or Spring Semester.
Program Requirement: : Elective course for the Quality System certificate program.
Delivery Methods: F2F, Hybrid, or ONLINE.
Textbooks:
Nicholas, J. (2010). Lean Production for Competitive Advantage: A Comprehensive Guide to Lean Methodologies and Management Practices. New York, NY. Productivity Press.
Additional readings provided on LMS.
Course Objectives: This course is intended to provide students background experiences in the fundamental concepts, principles, and tools involved in Lean Manufacturing, including utilizing lean across industries as well as its implementation.
Student Assignments: Classroom Activities, Classroom Discussions, Class Projects and Presentation, Homework assignments, and Examinations.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: Principles of total quality control; Shewhart control charts; acceptance sampling; capability and reliability studies.
Semester/Terms Taught: Spring Semester
Program Requirement: : Core course for the Quality System certificate program.
Delivery Methods: F2F, Hybrid, or ONLINE.
Textbooks:
Besterfield, D. H. (2013). Quality Improvement, 9th ed. Upper Saddle River, New Jersey. Pearson Education, Inc.
Additional readings provided on LMS.
Course Objectives: 1. Identify, measure or count the variables or attributes in a process toward process control.
2. Evaluate and understand basic frequency distributions.
3. Measure and collect data to determine central tendency including mean, median, and mode.
4. Measure and determine elements of dispersion including range, variance and standard deviation.
5. Sample as a tool for estimating process performance.
6. Compare individual and group variation in processes.
7. Develop, construct, interpret and apply variable and attribute control charting techniques.
8. Calculate and interpret process control limits and specification limits.
9. Calculate and interpret measures of process capability.
10. Design basic experiments toward solving processing problems.
Student Assignments: Classroom Activities, Classroom Discussions, Class Projects and Presentation, Homework assignments, Quizzes, and Examinations.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below

Course Description: Study of history and principles of quality design and control, principles and methods of statistical design of experiments (DOE) used in quality control, process optimization, and troubleshooting, application of Taguchi’s methods.
Semester/Terms Taught: Spring Semester.
Program Requirement: : Core course for the Quality System certificate program.
Delivery Methods: Online.
Textbooks:
Box, G., Hunter, J., & Hunter, W. (2005). Statistics for experimenters: Design, innovation, and discovery. (2ed). Wiley.
Additional readings provided on LMS.
Course Objectives: At the conclusion of the course the student will be able to:
1. Strategy of experimental design.
2. Explanations and use of factorial and fractional factorial experiments.
3. Designs for 2-level and 3-level factorial and fractional factorial experiments and interactions.
4. Use of various statistical tools: t-test, F-test, the Analysis of Variance (ANOVA).
5. Graphing methods to supplement the main tools: run order, dot plot, boxplot, dot frequency, pareto chart, normal probability plot, time series, control charts, and others.
6. Present an analysis of the information.
7. Team project on a practical experiment.
Student Assignments: Homework assignments, Project, and Examinations.
Grading Scale: The scale used in the course for final grade calculation will be:
A = 90 – 100 | B = 80 – 89 | C = 70 – 79 | D = 60 – 69 | F = 59 or below