Sep 27, 2024  
NCU Catalog - October 2018 
    
NCU Catalog - October 2018 [ARCHIVED CATALOG]

Course Descriptions


Course Codes and Course Length

Course Codes

NCU course codes include a course prefix and number. The course prefix identifies the content area of a course and the number identifies the course-level (e.g., Undergraduate, Master’s. etc.). Courses in this catalog section are list by School and content area in numerical order.

Example: The course prefix “ACC” indicates Accounting content

Course Numbering

Course numbering used at NCU is as follows:

Undergraduate 1000 to 4999
Master’s 5000 to 6999;
5000-8 to 6999-8
Doctoral and Advance Studies Certificates 7000 to 8999;
7000-8 to 8999-8
Doctoral Sequence Courses

9000 to 9799; 
9901A-C to 9904A-C

Course Length

Course length varies by course and program. Please refer to the course listing in this catalog to determine the length of a specific course.

 

Social Work

  
  • MSW-6003 - Professional Practice with Organizations and Communities

    Semester Credits: 3 Weeks: 8

    In this course students will focus on the social work with organizations and communities. Students will assess the impact of diversity on these constituents and the social work roles at the mezzo level in organizations and communities. Students will evaluate usage of evidence-based practices service delivery in organizations and communities. Students will examine how economic policies impact social welfare and by extension, the types of services needed. Students will also review emerging forms of technology used for service delivery.
  
  • MSW-5002 - Professional Practice with Individuals and Families

    Semester Credits: 3 Weeks: 8

    In this course, students will focus on the social worker-client relationship development with both individuals and families. Students will be exposed to client assessment techniques and principles of professional client relationship building. Evidence-based practice and service delivery will be explored. Elements of justice from the social work perspective as they apply to individuals and families also will be reviewed.
  
  • MSW-5001 - Human Behavior and the Social Environment

    Semester Credits: 3 Weeks: 8

    This course exposes you to the concepts of diversity, cultural competency, human rights, and justice. You will explore social work practices with diverse populations and assess advocacy approaches to ensure clients and constituents receive justice. You also will examine multidisciplinary frameworks of social work to gain a better understanding of human behavior in social environments. You will be presented with specific theories relevant to diverse client systems. This course emphasizes behaviors of individuals and families of diverse and oppressed populations.
  
  • MSW-5000 - Introduction to Social Work

    Semester Credits: 3 Weeks: 8

    This course presents an introduction to the practice of contemporary social work. You will review concepts and theories to better understand populations at risk and to enhance awareness of personal values. You also will examine the individual, familial and community context of social work. Finally, you will evaluate professionalism, ethics, communication, and key skills in social work practice.

Sports Management

  
  • SM-7118 - Financial Administration of Sports Facilities and Programs

    Semester Credits: 3 Weeks: 8

    In this course, students are presented with basic financial principles and concepts in interscholastic athletic programs. Course activities include marketing, revenue management, documentation and technological practices, and strategies for long-range planning. Course mastery is demonstrated by developing a fundraising plan as a sports administrator.
  
  • SM-7115 - Facility Management and Programming

    Semester Credits: 3 Weeks: 8

    Students will explore the principles, responsibilities, and issues involved with the management of athletic facilities. Activities include personnel and risk management, merchandising, quality assurance, and issues affecting the community. Additional components include environmental issues, and factors in operating facilities and sporting events.
  
  • SM-7112 - Advising the Student Athlete

    Semester Credits: 3 Weeks: 8

    Students explore the role and function of the academic advisors in the lives of students-athletes. Students will examine existing student-athlete retention programs in college and universities to understand their components and effectiveness. Recognizing learning differences in students with learning disabilities or disorders will also be explored in this course. The goal of this course will be to find academic services and counseling programs to help students that are in need, reach their greatest potential.
  
  • SM-7109 - Sport Compliance

    Semester Credits: 3 Weeks: 8

    Students will study rules and regulations associated with intercollegiate athletics at the NCAA I, II, and III level, NAIA, and NJCAA. Students will examine key components of compliance including recruiting, eligibility, amateurism, and financial aid. Topics include: strategies used by institutions across the country to maintain institutional control, the differences and similarities of the 5 different groups (NCAA I, II, III, NAIA, and NJCAA), and the groups which govern NCAA legislation.
  
  • SM-7106 - Legal Aspects of Equity in Intercollegiate Athletics

    Semester Credits: 3 Weeks: 8

    Within this course, doctoral students will study the Title IX’s structure and requirements applied to intramural, recreation, interscholastic, and intercollegiate athletic programs. The philosophical, historical, and conceptual account of this law will be explored and its effects upon these programs. Students will examine the historical account of the social, legislative, and judicial environments in which in which Title IX has grown to maturity in the last three decades. Students will also explore how current trends in campus demographics have affected sports programs throughout the nation. An experiential learning model will be utilized whereby students will be able to use their personal experiences when researching the legal aspects concerning equity in interscholastic and intercollegiate athletics as we know it today.
  
  • SM-7103 - Intercollegiate Sport Governance

    Semester Credits: 3 Weeks: 8

    Students will gain the knowledge of governance and politics of sport organizations that govern intercollegiate athletics. Students will analyze how people involved in governance set the tone of an organization and how individual sport bodies fit into the greater industry. Emphasis will be placed upon the development of a working knowledge of what organizations do and what their purpose is in the administration of an intercollegiate department.
  
  • SM-7100 - Development of Human Resource Strategies in Intercollegiate Athletics

    Semester Credits: 3 Weeks: 8

    Students are presented with the latest human resource strategies to successfully address everyday problems that may arise with coaches, staff, and personnel of an intercollegiate athletic department. Students develop a working knowledge of human resource policy and procedure in complex organizations and how this may affect the employees that they supervise. Topics addressed include recruitment, hiring, retention, planning, Title IX compliance, and related management strategies.
  
  • SM-5012 - Issues in Athletic Administration

    Semester Credits: 3 Weeks: 8

    In this course, you will explore theoretical perspectives on athletic administration and the role of sport in local communities and the broader society. You will examine challenges faced by athletic administrators, and how different media have portrayed those challenges. Such challenges include identifying and managing risks specific to athletic administration and evaluating the principles of equity, diversity, and inclusion within sport.
  
  • SM-5010 - Marketing in Athletics

    Semester Credits: 3 Weeks: 8

    In this course, student will learn how the dynamics of marketing and consumer behavior apply to sports organizations is essential for those who desire to become professionals within interscholastic athletics. Beginning with an overview of basic marketing theories and concepts, Students will gain insight into the ethics of sport marketing, fundraising, and sponsorship while analyzing leagues, teams, and events. Students will apply this insight by developing a marketing plan for an athletic program.
  
  • SM-5006 - Sports Governance and Policy Development

    Semester Credits: 3 Weeks: 8

    Students will learn the governance and policy development of interscholastic athletic programs. The roles of the National Federation of State High School Associations (NFHS), National Interscholastic Athletic Administrators Association (NIAAA), the state athletic/activity associations, and federal/state guidelines will be examined. Local board of education governance and the structure of local athletic programs will be reviewed. The course will also address sample athletic program philosophies and departmental organizational structure and procedures.
  
  • SM-5002 - Legal Aspects in Athletics

    Semester Credits: 3 Weeks: 8

    Students will develop the knowledge, skills, and awareness of the law and how legal precedence relates to interscholastic sport settings. Students will discuss, explore, analyze, and create solutions to specific dilemmas found in athletics at the high school level. An emphasis will be placed on current events and practical applications.
  
  • SM-5000 - Leadership and Administration of Athletic Programs

    Semester Credits: 3 Weeks: 8

    You will explore the methods, principles, and decision-making responsibilities of a university athletic administrator. Through readings and independent activities, you will have the opportunity to equip yourself with skills in leadership and management related to regulatory compliance, budgeting, scholarships, fundraising, and relationships with the broader university. You will apply these skills by taking on the role of an athletic director and tackling some of the problems involved in the development and supervision of intercollegiate athletic programs.

Strategic Knowledge Studies

  
  • SKS-7001 - Doctoral Comprehensive Strategic Knowledge Studies

    Semester Credits: 3 Weeks: 8

    Students will analyze and apply knowledge in 12 business areas necessary to address a wide variety of business-related situations. The focus of the course is demonstrating core proficiencies in the following business areas: Marketing, Business Finance, Accounting, Management, Legal Environment of Business, Economics, Business Ethics, Global Dimensions of Business, Information Systems, Quantitative Techniques and Statistics, Leadership, and Business Applications. The intent is not to introduce these core business concepts, but rather to verify a graduate-level threshold competency within each. The course includes a comprehensive case study that will allow students to demonstrate their competency within all 12 professional component areas.
  
  • SKS-5001 - Comprehensive Strategic Knowledge Studies

    Semester Credits: 3 Weeks: 8

    In this course, students have the opportunity to gain foundational knowledge in fifteen different areas important to business and management including accounting, finance, law, ethics, marketing, global business, information systems, research, leadership, strategic management, operations management, human resources, organizational behavior, and micro and macroeconomics. This course serves as a foundation for success in future courses in the MBA program.
  
  • SKS-4001 - Comprehensive Strategic Knowledge Studies

    Semester Credits: 3 Weeks: 8

    In this capstone course, students will have the opportunity to run a multi-million dollar global company for 8 years in a simulation designed to give the students real-world business situations that require strategic decisions. The students will examine business concepts from a global perspective, include strategic planning, business trends, global laws and ethics, operations management in a global business, and global economics. Students will reflect on their business decisions and apply different business concepts as they relate to the global business environment.

Technology & Innovation Management

  
  • TIM-8640 - Program & Portfolio Management

    Semester Credits: 3 Weeks: 8

    This doctoral course provides strategies from industries responsible for management of multiple projects. Learners will utilize multi-project management tools, techniques and methods need to successfully manage allocated resources across various projects. Learners will be evaluated on response to discussion questions, subject matter related to the activity and evaluated based on written research papers.
  
  • TIM-8630 - Managing Risk in Project Management

    Semester Credits: 3 Weeks: 8

    This doctoral course examines project risk management planning strategies. Students will identify, analyze, and suggest responses to processes regarding monitoring and control. Students will be evaluated on response to discussion questions, subject matter related to the activity and evaluated based on written research papers.
  
  • TIM-8620 - Project Management Systems & Technology

    Semester Credits: 3 Weeks: 8

    This course is an advanced examination of the systems, technologies, and tools used to monitor and ensure project success.
  
  • TIM-8610 - Leadership in Project Management

    Semester Credits: 3 Weeks: 8

    Highly skilled teams are necessary for planning and implementing innovative new ideas and projects. This course is an advanced examination of leadership and human capital management as they relate to project management.
  
  • TIM-8601 - IT Project Management

    Semester Credits: 3 Weeks: 8

    This course is an advanced examination of the primary processes, deliverables, and knowledge groups involved in managing the development of new technologies and ideas. Students will also evaluate current research trends in project management.  The course is aligned to the Project Management Body of Knowledge (PMBOK) version 5.
  
  • TIM-8530 - Big Data Integration

    Semester Credits: 3 Weeks: 8

    This course is an advanced study of theories and concepts related to Big Data Integration. Some course concepts include an introduction to Big Data analytics, tools, and recent technologies. Students will also be introduced to current research trends in the area of Big Data and potential future problems in this area which they explore.
  
  • TIM-8520 - Inferential Statistics and Predictive Analytics

    Semester Credits: 3 Weeks: 8

    This course is an advanced examination of tools, techniques, theories, and technologies for analyzing past events and discovering patterns that can help predict future events.
  
  • TIM-8510 - Data Visualization

    Semester Credits: 3 Weeks: 8

    New data types and data visualization requirements are emerging often. In this course, students will explore ever-expanding data visualization requirements and techniques for presenting data in the most effective way.
  
  • TIM-8501 - Quantitative Methods for Data Analytics and Business Intelligence

    Semester Credits: 3 Weeks: 8

    This course is an advanced examination of quantitative methods for organizational researchers. Students will also study new and emerging topics in statistics and quantitative analysis.
  
  • TIM-8440 - Knowledge Management

    Semester Credits: 3 Weeks: 8

    This course is an advanced study of theories and concepts related to capturing, storing, managing, recalling, and reusing organizational knowledge.
  
  • TIM-8430 - Systems Analysis & Design

    Semester Credits: 3 Weeks: 8

    This course is an advanced study of theories and concepts related to the design and implementation of technology solutions to address business problems or needs. Special focus is given to the role of the business analyst on investigating current systems, defining IT requirements, working with technical and non-technical staff, and proposing recommendations using technical style conventions. Models, frameworks, and international standards are used to analyze data flow landscape, incident, or process that may need a thorough update or redesign for process improvement.
  
  • TIM-8420 - Data Warehousing & Decision Support

    Semester Credits: 3 Weeks: 8

    This course provides an advanced study of the theories and trends related to creating and managing enterprise data warehouses. The course will explore the emerging concepts and theories to determine decisions required to plan, design, and implement data warehouse and decision support systems. Additionally, the course will provide an overview of effective policies for decision support systems and data warehousing maintenance. You will gain a detailed understanding of how to implement and overview data warehouse improvements.
  
  • TIM-8410 - Cloud Computing

    Semester Credits: 3 Weeks: 8

    In this course, students will study trends and recent developments in Cloud Computing and begin determining what the next great innovation will be in this area of computing.
  
  • TIM-8350 - Critical Infrastructure Protection, Information Warfare, & Cyber Terrorism

    Semester Credits: 3 Weeks: 8

    In this course, students will examine critical infrastructure protection, information warfare, cyber terrarium, and evolving U.S. policy response to attacks. The primary focus is cyber terrorism which is an emerging mode of information warfare that exploits civilian and military systems’ inherent vulnerabilities. Cyber terrorism’s broad reach affects national and global security. This course will focus on the human and technological aspects of cyber terrorism.
  
  • TIM-8340 - Secure Software Development

    Semester Credits: 3 Weeks: 8

    Security is often left out of the early stages of software development.  This course is an advanced examination of software engineering for the security professional.
  
  • TIM-8330 - Advanced Risk Management

    Semester Credits: 3 Weeks: 8

    Students in this course will review information assurance and security concepts that impact the information technology (IT) industry as whole.  The challenges associated with assessing and implementing computer security are a global issue. In this course, an overview of the subject of information technology system security will be presented including the nature of risk and its application to information system security, threats, and vulnerabilities. The student will be required to strive for the highest levels of knowledge in the field of risk management and information assurance.
  
  • TIM-8320 - Contingency Planning & Disaster Recovery

    Semester Credits: 3 Weeks: 8

    The attacks that occurred on September 11, 2001 (9/11), brought organizational disaster recovery strategy into the spotlight. This course provides students with the background knowledge and skills they need to develop effective disaster prevention and recovery capabilities in various organizations. Students will be able to demonstrate an understanding of the principles of disaster recovery planning for physical security consideration, host applications, and network security measures.
  
  • TIM-8310 - Cyber Forensics

    Semester Credits: 3 Weeks: 8

    In this course, students will be introduced to the field of advanced cyber forensics. Students will review various tools, techniques, and steps needed for a successful forensic investigation. In addition, students will examine various legal regulations that impact the collection of data, the importance of federal rules of evidence, and the critical requirement of evidence admissibility in a court of law.
  
  • TIM-8301 - Principles of Cybersecurity

    Semester Credits: 3 Weeks: 8

    This course is an overview of security principles and practices to support executive security professionals to protect their information systems and computer networks from cyber-attacks. In this course you will study advanced and emerging topics in technology, its security features and control structures, security management and leadership, as well as techniques that are relevant to organizations that focus on technology and innovation.
  
  • TIM-8220 - Engineering Law

    Semester Credits: 3 Weeks: 8

    Innovative new ideas are often brought to fruition by talented engineers. Protecting those ideas requires close attention to laws regarding intellectual property; and engineers are bound by regulations that help ensure the safety of their work. In this course, students will study the legal implications of innovation and engineering. In addition, students will learn to use the patent system as a research tool in developing new technologies.
  
  • TIM-8210 - Quality Management

    Semester Credits: 3 Weeks: 8

    Managing innovation requires care to ensure that new ideas are developed and implemented well. In this course, students will study emerging knowledge in total quality management and apply this knowledge specifically to the task of developing and implementing innovative ideas.
  
  • TIM-8150 - Artificial Intelligence

    Semester Credits: 3 Weeks: 8


     

    Artificial intelligence is becoming more and more useful in helping solve everyday problems. Intelligent agents and natural language processing have become commonplace in the early 21st century. In this course, students will study emerging trends in artificial intelligence research and attempt to predict its impact on everyday computing.

  
  • TIM-8140 - Software Engineering

    Semester Credits: 3 Weeks: 8

    In this course, students will explore emerging issues in software engineering. Emphasis will be placed on trends in mobile development, architecture & design, testing, security and the empirical analysis of software systems.
  
  • TIM-8130 - Data Mining

    Semester Credits: 3 Weeks: 8

    This course is an advanced examination of theories and concepts related to the extraction of meaningful and non-obvious information from structured and unstructured data.
  
  • TIM-8120 - Distributed Systems

    Semester Credits: 3 Weeks: 8

    With the advent of mobile technologies and super high speed networks, distributed computing is becoming ever more commonplace, allowing computers to coordinate their efforts over vast distances.  In this course, students will study the emerging technologies and techniques for using them in facilitating distributed computing.
  
  • TIM-8110 - Programming Languages & Algorithms

    Semester Credits: 3 Weeks: 8

    New programming languages and algorithms are being proposed every day to try to solve problems faster, use less storage, and make programmers’ and researchers’ jobs easier. This course is an advanced study of the practical and theoretical principles behind the design, analysis, and implementation of algorithms and programming languages for research and professional practice.
  
  • TIM-8101 - Principles of Computer Science

    Semester Credits: 3 Weeks: 8

    In this course, students will study how computer science concepts and theories can be applied and used to solve real-world problems. Students will also be introduced to research in computer science and become acquainted with venues for sharing knowledge in the field. 
  
  • TIM-7245 - Directed Constructive Research

    Semester Credits: 3 Weeks: 8

    In this course, students will apply their knowledge of research design and methodology in engineering, computing, and the sciences to produce a draft of their first formal dissertation deliverable: the prospectus.
  
  • TIM-7240 - Constructive Research Design & Methodology for Technology Leaders

    Semester Credits: 3 Weeks: 12

    This course is an in-depth introduction to methods and measurements used in designing and testing artifacts (e.g., theories, algorithms, procedures, systems, hardware) for research in computing, engineering and the sciences.
  
  • TIM-7235 - Directed Qualitative Research

    Semester Credits: 3 Weeks: 8

    In this course, students will apply their knowledge of qualitative research design and methodology to produce a draft of their first formal dissertation deliverable: the prospectus.
  
  • TIM-7230 - Qualitative Research Design & Methodology for Technology Leaders

    Semester Credits: 3 Weeks: 12

    This course is an in-depth introduction to qualitative methods for studying human behavior including grounded theory, narrative analysis, ethnography, mixed methods, and case studies.
  
  • TIM-7225 - Directed Quantitative Research

    Semester Credits: 3 Weeks: 8

    In this course, students will apply their knowledge of quantitative research design and methodology to produce a draft of their first formal dissertation deliverable: the prospectus.
  
  • TIM-7220 - Quantitative Research Design & Methodology for Technology Leaders

    Semester Credits: 3 Weeks: 12

    This course provides technology leaders with the skills essential for designing quantitative research studies, analyzing the data collected in these studies, and interpreting the results of data analyses.  Scholar-practitioners will explore designs and statistical techniques to use with their envisioned dissertation research.
  
  • TIM-7210 - Introduction to Research Design & Methodology for Technology Leaders

    Semester Credits: 3 Weeks: 12

    This course is an introduction to the skills and tools necessary for the design, implementation, and critique of research in disciplines related to technology and innovation.  The scholar-practitioner will examine the formal research process carefully, with an emphasis on practical applications and skill development.
  
  • TIM-7200 - Scholarly Communication for Technology Leaders

    Semester Credits: 3 Weeks: 12

    It is important for technology scholars to be able to communicate effectively with diverse audiences in varied situations.  This course is designed to aid professionals in ensuring their message is delivered and understood.  Topics include both professional and scholarly communication useful to the innovative technology leader.
  
  • TIM-7100 - Statistics with Technology Applications

    Semester Credits: 3 Weeks: 12

    This course serves as an extensive exploration of statistics for the technology leader.  Included is an advanced examination of statistical analyses commonly used for research in information systems and technology.  Students will gain the skills required to plan, conduct, report, and interpret quantitative statistical analyses.
  
  • TIM-7040 - Technology Policy & Strategy

    Semester Credits: 3 Weeks: 8

    This course is an advanced examination of the theories, concepts, and strategies for managing technology policies and implementing innovative technology strategies in organizations.
  
  • TIM-7030 - Managing Risk, Security, & Privacy in Information Systems

    Semester Credits: 3 Weeks: 8

    A strategic technology professional should be ever mindful of how an organization’s technology introduces inherent risk to the organization.  This course is an advanced study of risk management and other critical considerations in high-tech organizations.
  
  • TIM-7020 - Databases & Business Intelligence

    Semester Credits: 3 Weeks: 8

    Data drives the world we live in. From self-driving cars to the top apps in the store, all is impacted by data and information. Knowing how to use and store this information is a vital concept for essentially every industry. This course is an advanced examination of concepts and research trends in databases and business intelligence. The student will be exposed to concepts related to these topics from both industry, and leading research venues. Some of these explored topics include business intelligence, solving business problems using data, understanding gaps between theory and practice, future trends in database technology, and creating a research proposal.
  
  • TIM-7010 - Computer Networks & Mobile Computing

    Semester Credits: 3 Weeks: 8

    In this course, students will explore emerging issues in computer network design and management. Of particular attention will be topics on how mobile computing has changed the way networks are designed and managed.
  
  • TIM-7001 - Changing Times: Leading Technology & Innovation in the 21st Century

    Semester Credits: 3 Weeks: 8

    Visionary leaders can help change an organization and bring about new innovations.  In this course, students will practice being those visionaries and being champions for new technologies and positive change in public and private organizations.
  
  • TIM-6640 - Program & Portfolio Management

    Semester Credits: 3 Weeks: 8

    This course presents proven methods from a cross-section of industries for the management of a portfolio of projects. It will demonstrate multi-project management tools, techniques and methods. You will learn how successful businesses manage projects, how they set up multiple project management processes, what technologies are effective and how they allocate resources across various projects.
  
  • TIM-6630 - Managing Risk in Project Management

    Semester Credits: 3 Weeks: 8

    Project risk is an uncertain event or condition that can have either a positive or negative effect on a project’s objectives. This course includes the processes concerned with conducting project risk management planning, identification, analysis, mitigation, monitoring, and control.
  
  • TIM-6620 - Project Management Systems & Technology

    Semester Credits: 3 Weeks: 8

    Project management process consists of a wide range of tools and techniques that facilitates project manager’s work in planning activities and leveraging resources in compliance with project milestones within time and budget. In this course you will study the project tools, methodologies and techniques that can aid the project manager in ensuring the project’s success.
  
  • TIM-6610 - Leadership in Project Management

    Semester Credits: 3 Weeks: 8

    This course will explore leadership skills, tools, and strategies that can mitigate human resource problems in the project environment. Problems related to conflict, lack of motivation, and stakeholder involvement can cause delays, erode quality, increase costs, and result in high levels of stress for everyone on the project team. This course will introduce and investigate soft skills utilized in management, leadership, and team building that can be applied to manage tough human resource issues. Students will examine concepts of leadership and organizational behavior to promote their effectiveness as both project leaders and project managers. Integration of tools and technology such as social media and management of virtual and multi-cultural teams will also be studied.
  
  • TIM-6601 - IT Project Management

    Semester Credits: 3 Weeks: 8

    This course provides an overview of the primary processes, deliverables, and knowledge groups involved in project management.  Students will practice project management specifically as it relates to managing and developing new technologies and ideas.  The course is aligned to the Project Management Body of Knowledge (PMBOK) version 5.
  
  • TIM-6530 - Big Data Integration

    Semester Credits: 3 Weeks: 8

    This course is an introduction to the theories, concepts, and tools related to big data. Topics covered include an introduction to big data analytics, knowledge and data discovery, secure data management, and big data in enterprise systems.
  
  • TIM-6520 - Inferential Statistics and Predictive Analysis

    Semester Credits: 3 Weeks: 8

    Although no one has a crystal ball that can truly see the future, data analysts do have many techniques and tools that allow accurate prediction of future events based on prior trends.  In this course, students will study learn to analyze patterns in data that can help predict the future.
  
  • TIM-6510 - Data Visualization

    Semester Credits: 3 Weeks: 8

    Representing data in a way that is useful for decision-makers is important.  This course is an introduction to best practices in presenting data to decision-makers in the most readily-consumable and usable forms possible.
  
  • TIM-6501 - Quantitative Methods for Data Analytics and Business Intelligence

    Semester Credits: 3 Weeks: 8

    This course is an introduction to the quantitative measurements used in business intelligence, data mining, and predictive modeling.  Students will practice “crunching numbers” and learn the tools, measurements, and analyses that will be required for further study and professional practice in data analytics.
  
  • TIM-6430 - Systems Analysis & Design

    Semester Credits: 3 Weeks: 8

    This project-driven course introduces students to the essential practices and tools required for systems analysis and design.  Students practice using a variety of software tools and resources to create designs and deliverables for simulated real-world projects.  Students may not receive credit for both TIM-6140 and TIM-6430.
  
  • TIM-6420 - Data Warehousing & Decision Support

    Semester Credits: 3 Weeks: 8

    This course is an introduction to the systems, tools, and techniques used to create and manage enterprise data warehouses, as well as use those repositories for informing business decisions.
  
  • TIM-6410 - Cloud Computing

    Semester Credits: 3 Weeks: 8

    In this course, students will study how processing, storage, and other functions previously covered by a desktop computer are all moving “into The Cloud” and how to take advantage of “The Cloud” in their organizations.
  
  • TIM-6340 - Secure Software Development

    Semester Credits: 3 Weeks: 8

    Security is often left out of the early stages of software development.  This course is an introduction to software engineering for the security professional, with particular emphasis placed on keeping security as a primary concern during all phases of development.
  
  • TIM-6330 - Systems Certification and Accreditation

    Semester Credits: 3 Weeks: 8


     

    This course provides guidance on principles that must exist in order to establish and maintain a certification and accreditation program. Students will explore the required processes for accreditation and certification programs including project planning, system inventory, system security plans, risk assessment, security procedures, certification testing, documentation of accreditation decisions, and coordination of security for interconnected systems. The course will also provide the student with a more thorough understanding of what a complete certification and accreditation program can do to benefit an organization. A framework for a systems certification and accreditation program will be developed.

  
  • TIM-6320 - Contingency Planning & Disaster Recovery

    Semester Credits: 3 Weeks: 8

    This course provides a thorough strategy to guide students with the background knowledge and skills they need to develop effective disaster prevention and recovery plans and processes in a professional setting. Students will be able to demonstrate the basic principles of disaster recovery, data recovery, contingency planning, and maintenance planning.
  
  • TIM-6310 - Cyber Forensics

    Semester Credits: 3 Weeks: 8

    In this course, students will examine how forensics principles can be applied in criminal investigations and civil cases where computers and other electronic devices and associated software have been used to commit criminal acts or other activities requiring legal actions. This course also includes legal considerations facing cybersecurity professionals in dealing with the discovery, investigation, and prosecution of cybercrimes. Students are provided with an overview of the tools used by computer forensic professionals while investigating such incidents; the use of these tools for the collection, examination, and preservation of evidence is also explored.
  
  • TIM-6301 - Principles of Cybersecurity

    Semester Credits: 3 Weeks: 8

    This course will introduce you to the concepts of security and cybersecurity, including the tools used in securing computer networks and data systems. You will examine published best practices and their application to a variety of scenarios. The course extends into concepts and an initial consideration of new research in the cybersecurity field. The solution options are mediated by social and ethical influences while motivating resources based on value defense within the remaining viable mitigation options. You will study the need to protect organizations from future threats and not limiting actions to recovery from historic losses and legal compliance.
  
  • TIM-6220 - Engineering Law

    Semester Credits: 3 Weeks: 8

    Innovative new ideas are often brought to fruition by talented engineers.  Protecting those ideas requires close attention to laws regarding intellectual property; and engineers are bound by regulations that help ensure the safety of their work.  In this course, students will study the legal implications of innovation and engineering.
  
  • TIM-6210 - Quality Management

    Semester Credits: 3 Weeks: 8


     

    The effective implementation of total quality management practices is a requirement for all organizations to be successful. This course introduces a systematic approach for implementing total quality management for an organization with a strong emphasis on the customer, including customer expectations for product quality. This course covers the topics of defining quality, the history of quality management, identifying and understanding the customer, and adopting process improvements to implement quality management.

  
  • TIM-6140 - Software Engineering

    Semester Credits: 3 Weeks: 8

    This project-driven course introduces students to the principles and processes for development of software-intensive systems. Students practice using a variety of software tools and resources to create designs and deliverables for simulated real-world projects.
  
  • TIM-6130 - Data Mining

    Semester Credits: 3 Weeks: 8

    Data mining is the extraction of meaningful and non-obvious information from structured and unstructured data. In this course, students will learn common techniques and algorithms used in data mining.
  
  • TIM-6120 - Distributed Systems

    Semester Credits: 3 Weeks: 8

    Distributed computing involves the coordinated efforts of multiple devices to perform computing tasks via diverse network connection protocols. By integrating these set of systems with different configurations to interact as a single platform is what ultimately makes systems not only operational but really supporting the enterprise operations. In this course you will study the foundations, architecture and protocols of systems programming and apply these tools to integrate diverse platforms to conform an operational distributed system.   
  
  • TIM-6110 - Programming Languages & Algorithms

    Semester Credits: 3 Weeks: 8

    This course is an introduction to the basic syntax and semantics of programming languages. In this course you will study the practical and theoretical principles behind language development and use of different programming languages in addressing programming problems. You will also study use programming languages to understand the complexity of algorithms while working with the implementation of some common programming problems.
  
  • TIM-6101 - Principles of Computer Science

    Semester Credits: 3 Weeks: 8

    This course introduces the principles of computer science for students without prior experience in the subject. Included is an overview of mathematics concepts for computer science, programming in a high-level language, and algorithm design and analysis. This course is not open to students who have an undergraduate or advanced degree in computer science.
  
  • TIM-6010 - Strategic Management of Technology & Innovation

    Semester Credits: 3 Weeks: 8

    Innovation requires careful and strategic management. New technologies and programs should be aligned to the organization’s mission, vision, and values. In this course, students will learn how to plan strategic integration of new ideas and technologies into existing organizations.
  
  • TIM-5110 - Secure Software Development

    Semester Credits: 3 Weeks: 8

    Security is often left out of the early stages of software development.  This course is an introduction to software engineering for the security professional, with particular emphasis placed on keeping security as a primary concern during all phases of development.
  
  • TIM-5030 - Managing Risk, Security, & Privacy in Information Systems

    Semester Credits: 3 Weeks: 8

    With new technologies and ideas comes increased risk of information theft, privacy concerns, lack of adoption, and system failure. In this course, students will learn to recognize, predict, assess, and mitigate these and other threats.
  
  • TIM-5020 - Databases & Business Intelligence

    Semester Credits: 3 Weeks: 8

    Effective data management is essential to success in business and government.  In this course, students will learn how databases are designed and built, as well as how to extract meaningful and actionable business intelligence from databases.
  
  • TIM-5010 - Computer Networks & Mobile Computing

    Semester Credits: 3 Weeks: 8

    Computer networks are quickly becoming the backbone of human communication, and mobile devices are personal hubs that keep people connected nearly anywhere.  This course is an overview of the technologies, concepts, software, and hardware involved in connecting devices and people all over the world.
  
  • TIM-5001 - Principles of Technology Innovation Management

    Semester Credits: 3 Weeks: 8

    Technological innovations can be intimidating - yet beneficial - for many organizations. It is important for leaders to know how to take advantage of new technologies and ideas or be trapped in stagnation. In this course, students will take the first step towards becoming champions of positive change through technological innovation.

Data Science

  
  • CMP-9700DS - PhD-DS Portfolio

    Semester Credits: 3 Weeks: 8

    In this course, students will work collaboratively with faculty members to create a comprehensive portfolio of their work and achievements thus far. This portfolio will showcase the student’s abilities. Key competencies will be demonstrated by portfolio artifacts including in the areas of ethics and social responsibility, theory and research in data science, problem solving, global understanding, and professional competency. Students will present their dissertation prospectus as part of the portfolio.
  
  • TIM-8590 - Data, Information, and Knowledge Policy & Strategy

    Semester Credits: 3 Weeks: 8

    Visionary leaders can help change an organization and bring about new innovations. In this course, students will practice being those visionaries and being champions for new technologies and positive change in public and private organizations through the strategic management of data, information, and knowledge.
  
  • TIM-8540 - Data Reporting

    Semester Credits: 3 Weeks: 8

    This course introduces the proper reporting formats used in data science. You will examine the common methods used in reporting data and the techniques used in displaying numeric data. You will utilize the analytical output of a data science project to help inform decision-making and prepare presentations that adhere to industry standards.
  
  • TIM-8535 - Current Topics in Quantitative Analysis

    Semester Credits: 3 Weeks: 8

    This course examines current techniques and methods utilized in manipulating data in quantitative analysis. You will analyze processes within data science that help organize large data sets. You will explore the differences in statistical reasoning based on Frequentists and Bayesian philosophy and will analyze output based on Artificial Neuron Network analysis.
  
  • TIM-8525 - Multivariate Analysis

    Semester Credits: 3 Weeks: 8

    This course examines the use of multivariate analysis within the scope of data science projects. You will focus on the procedures in completing a multivariate analysis and determine the correct models to utilize in analyzing data. Specifically, you will examine factor analysis, principal components analysis, and multivariate analysis of variances techniques as a solution to analyzing multidimensional data.
  
  • TIM-8505 - Quantitative Research Design

    Semester Credits: 3 Weeks: 8

    This course provides a foundation in quantitative research design. You will explore research design as it relates to a business need and determine the worth of a quantitative analysis project. You will examine the elements of a research design plan to fit a business need.
  
  • TIM-8500 - Principles of Data Science

    Semester Credits: 3 Weeks: 8

    This course provides an introduction and overview of data science in order to make informed decisions about business needs. You will explore the data science life cycle and determine appropriate design methods and management of data to fit authentic situations.
  
  • TIM-6540 - Critical Analysis, Interpreting and Reporting Data

    Semester Credits: 3 Weeks: 8

    This course introduces the proper reporting formats used in data science. You will explore the common methods used in reporting data and the techniques used in displaying numeric data. You will utilize the analytical output of a data science project to help inform decision-making and prepare presentations that adhere to industry standards.
  
  • TIM-6505 - Quantitative Research Design

    Semester Credits: 3 Weeks: 8

    This course provides a foundation in quantitative research design. You will explore research design as it relates to a business need and determine the worth of a quantitative analysis project. You will examine the elements of a research design plan to fit a business need.
  
  • TIM-6500 - Principles of Data Science

    Semester Credits: 3 Weeks: 8

    This course provides an introduction and overview of data in order to make informed decisions about business needs. You will explore the data science life cycle and determine appropriate design methods and management of data to fit authentic situations
 

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