2021-2022 Graduate Catalog w/ May Addendum 
    
    May 18, 2024  
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2021-2022 Graduate Catalog w/ May Addendum [ARCHIVED CATALOG]

Course Descriptions

 

Computer Information Sciences
  

  • CISC 709 - Contemporary Computing Systems Programming

    (3 semester hours)
    Prerequisites: Admissions to the Computational Sciences Doctoral Program or permission of instructor
    Corequisites: CISC 701  
    Description: This course discusses and advocates a structured approach to parallel programming. This approach is based on a core set of common and composable patterns of parallel computation and data management with an emphasis on determinism and scalability. By using these patterns and also paying attention to a small number of factors in algorithm design (such as data locality), programs built using this approach have the potential to perform and scale well on a variety of different parallel computer architectures. A special emphasis will be put on both collective “data-parallel” patterns as well as structured “task-parallel” patterns such as pipelining and superscalar task graphs. The structured patter-based approach, like data-parallel models, addresses issues of both data access and parallel task distribution in a common framework. Optimization of data access is important for both many-core processors with shared memory systems and accelerators with their own memories not directly attached to the host processor. Extensive use of pertinent and practical examples from scientific computing will be made throughout. The programming languages used will be Python, Fortran, or C++. Both the shared and distributed paradigms of parallel computing will be covered via the OpenMP and MPI libraries.
  

  • CISC 719 - Contemporary Computing Systems Modeling

    (3 semester hours)
    Prerequisites: CISC 701  & CISC 709 , or permission of instructor
    Description: Real‐world problems entail a hierarchy of systems that interact in complex ways. This causes such complex problems not to lend themselves to easy solutions with computational methods like classical parametric machine learning. The complexity arises from three main causes: high‐dimensionality, unknown function properties, and computationally expensive analysis and simulation. These challenges with the presence high volume/velocity streaming data severely aggravate the difficulty and become the bottleneck for any computational solution. This course helps the student to explore some advanced modeling and optimization methods that can help solve such problems. Deep Learning (DL) allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. DL has the ability to discover convoluted structure in large data sets by using say the backpropagation algorithm to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the previous layer. Deep convolutional nets have brought about breakthroughs in processing images, video, speech and audio, whereas recurrent nets have shone light on sequential data such as text and speech. A special emphasis will be put on how to build applications using this approach that have the potential to perform and scale well on a variety of different previously studied parallel computing systems. Extensive use of parallel programming models like CUDA, C, Python, OpenMP and may be Fortran will be to conduct weekly projects.
  

  • CISC 727 - Research Explorations in Computational Sciences I

    (3 semester hours)
    Prerequisites: CISC 701  & CISC 709 , or permission of instructor
    Corequisites: CISC 719  
    Description: This course is about leading the student to explore some heavy research on a certain high‐dimensional problem under the supervision of a research scientist in one of the computational sciences subdomains. The course outcome is expected to be the foundational part of a published research paper to be presented (later after augmented with other research work) in a research symposium. Special emphases put on how to build programs using this approach that have the potential to perform and scale well on a variety of different previously studied parallel computing systems. Extensive use of parallel programming models like CUDA, C, Python, OpenMP and may be Fortran will be to conduct weekly projects.
  

  • CISC 733 - Research Explorations in Computational Sciences II

    (3 semester hours)
    Prerequisites: CISC 727  or permission of instructor
    Corequisites: CISC 777  
    Description: This is the second of the depth‐level research explorations courses. The goal of this course is to continuous the realization efforts from course work of CISC 727. A published research paper on a computational solution in deep learning for the real‐world problem selected in the prerequisite course is the expected outcome for this course. The paper is to be presented later after augmented with other research work in a research symposium. This paper should be a step toward choosing the research topic for the doctoral dissertation for the degree.
  

  • CISC 777 - Research Symposium Paper

    (3 semester hours)
    Prerequisites: CISC 727  
    Corequisites: CISC 733  
    Description: The course is of two parts: one, to allow the student to make progress on their research in a structured way and to help fulfill program requirements, and two, to present professionalization information crucial to success in the field. The course is organized largely around working on the research paper, with the goal of making it a conference‐presentable and journal‐publishable work.
  

  • CISC 787 - Doctoral Research Seminar I

    (3 to 6 semester hours)
    Prerequisites: CISC 777  
    Description: This course is the first of the two Doctoral Research Seminar courses. The course provides the student with the theoretical background and practical application of various research methods that can be used in computational sciences. The course provides a look to the research process and literature review and study the correlation and experimental research methods and design. Students will analyze several existing research studies and design and conduct studies. The principal work in this course is the research and writing of a substantial paper in a field related to the Ph.D. dissertation of each student. The student is expected to have a research topic and primary source base identified and the topic approved by the dissertation adviser.
  

  • CISC 797 - Doctoral Research Seminar II

    (3 to 6 semester hours)
    Prerequisites: CISC 787  
    Description: This course is the second of the two Doctoral Research Seminar courses. The course provides a deeper look to the research process, implementation methodology and research findings. The student will analyze several existing research studies and design and conduct studies. This course emphasizes advanced research goals and mastery of the relevant sub field. approved by the dissertation adviser.
  

  • CISC 799 - Doctoral Dissertation

    (3 to 6 semester hours)
    Prerequisites: CISC 797  
    Description: This is an individual study course for the doctoral student that culminates in a Ph.D. Thesis. Content to be determined by the student and the student’s Doctoral Committee. The Computational Sciences thesis is an implementation of a serious experimental research that involves the formulation of a deductive model that makes novel and unforeseen predictions which should be then tested objectively and confirmed under conditions unfavorable to the hypothesis. In addition to a well written thesis, the student is required to deliver the computational solution in a specific domain. In support of their findings, the student is required to introduce a software package that meets the criteria of excellent software requirement. The thesis needs to show that the writer can produce their extended piece of work, in perfect English, and respects the standards of form and structure. May be repeated for credit.

Consumer Behavior and Decision Sciences
  

  • CBDS 520 - Judgement and Decision Making

    (3 semester hours)
    Prerequisites: None
    Description: Human Behavior is the result of complex interactions between physiological and psychological processes. This is an accelerated course designed to give the student a firm understanding of these processes, as well as insight into how this knowledge can be used to garner unique insights which can be leveraged to influence behavior. Foundational topics such as perception, learning and memory, emotion, and cognitive biases and attempt to exploit them via nudging are covered through lectures, discussion or current applied research, and a team project developing an applied behavioral research plan.  
  

  • CBDS 535 - Quantitative Research Methods

    (3 semester hours)
    Prerequisites: ANLY 510  
    Description: The easiest way to find out about people is to ask them questions. As a result, a large amount of the data used to generate insights comes from simple survey questions. This course is designed to teach the student how to develop efficient questions and to deploy surveys in person, telephonically, or online (mobile). Statistical methods for determining question and construct reliability are covered. Course material is presented via lectures, texts (textbook and supplementary readings), and several projects. 
  

  • CBDS 545 - Qualitative Research Methods

    (3 semester hours)
    Prerequisites: ANLY 510  and CBDS 535  
    Description: Innovative ideas often come from spontaneous conversation and interactions. Focus groups (panels) and observational research methods facilitate the discovery of these unique consumer insights. This course provides an overview of the proper use of focus groups, panels, and observational designs in consumer research. Central topics include question design, planning, implementation, moderation/observation techniques, virtual panels, data processing, and qualitative and quantitative analysis strategies. Course materials are presented via lectures, guest lectures, and as well as individual and team projects.  
  

  • CBDS 550 - Sampling and Segmentation

    (3 semester hours)
    Prerequisites: ANLY 510  and CBDS 520  
    Description: To generate actionable insights and implement them effectively we need to know how consumers are distributed across the population, what segments will want a product or service, and how we can sample from relevant segments so that our data is representative of relevant populations. This is an advanced course designed to provide an overview of these topics from an applied analytic perspective. The first half of the course focuses on sampling methods for data collection such as: Stratification, cluster sampling, systematics selection, multistage sampling, and probability proportional to size sampling. The second half of the course focuses on analytic methods for the four main types of market segmentation: Demographic, behavioral, psychographic, and geographic. Material is presented via lectures, discussions, immersive labs, and an applied team project.   
  

  • CBDS 620 - Marketing Applications

    (3 semester hours)
    Prerequisites: ANLY 510  and CBDS 550  
    Description: Bespoke marketing tools and methods of approach underly much of today’s marketing research. This course is separated into three sections related to appealing to your customer base: The first covers conjoint analysis tools used to determine the value of product/services features as viewed by the customer and to assess (attractive) market prices. The second provides an overview of market mix modeling allowing for an efficient marketing plan to be deployed. The final section covers customer relationship management (CRM). An overview of what CRM is, what CRM has and has not yet delivered, popular CRM technologies, and how analytic techniques can be employed to determine customer equity, customer lifetime value, and predict customer loyalty and churn is provided. Material is presented via lectures (guest lectures), discussions of current research and theory, case studies, labs, and applied projects. 
  

  • CBDS 680 - Special Topics in Applied Behavioral Research

    (3 semester hours)
    Prerequisites: CBDS 695  
    Description: Theories of human behavior and behavioral research methods are constantly evolving. This seminar is designed to provide an overview of the state-of-the-art in applied behavioral research. Each session will consist of a discussion of recent advances in consumer research and/or a relevant story pulled from the headlines. Guest lectures from academia, industry, and the public sector will also present their work and their views on the future of applied behavioral research.  
  

  • CBDS 695 - Advanced Behavioral Research Methods

    (3 semester hours)
    Prerequisites: ANLY 510  and CBDS 535  
    Description: As technology advances so do applied behavioral research methodologies. This frequently updated course provides the knowledge and skills needed to conduct innovative applied behavioral research using emergent methodologies. Research applications covered include: Decision time analysis, mouse tracking, eye tracking, affect measurement, and practical neural measurement techniques (e.g., NIRS and ECG/EEG). Material is presented via lectures (guest lectures), discussions of transformative research, labs, and an immersive research project.
  

  • CBDS 699 - Applied Behavioral Research Project

    (3 semester hours)
    Prerequisites: CBDS 620  and CBDS 695  
    Description: This seminar is designed to assist the student as they produce the final deliverable of their studies - an applied behavioral research project. In the first weeks the student will deliver an overview of their project and what stage they are currently in. During the following weeks the student will deliver status updates allowing them to seek out feedback and advice for how to approach issues encountered (e.g., implementation and analysis problems), while also benefitting from their classmates’ experiences. In the final weeks the student will give a presentation which will be in the format of a “mini-defense”.

Cybersecurity Operations and Control Management
  

  • CYOM 503 - Principles of Computer Networking

    (3 semester hours)
    Prerequisites: A Baccalaureate degree in computer science or a related technical field (e.g., electrical and computer engineering, information science, cybersecurity) or permission of instructor
    Description: Information networking lays the groundwork for analysis of concepts that form the foundation to study Cybersecurity. The Internet contains a constant flow of information in the form of packets over interconnected network devices. This topic covers protocols, software, hardware, and functions that support networking services, such as switching/routing, virtual networking concepts, domain name services, directory services, and other Internet required protocols.
  

  • CYOM 521 - Cybersecurity Architecture and Resiliency

    (3 semester hours)
    Prerequisites: A Baccalaureate degree in computer science or a related technical field (e.g., electrical and computer engineering, information science, cybersecurity) or permission of instructor
    Description: To understand security architecture, you must first understand architecture in general. At first glance, security and architecture are diametrically opposed. Security is freedom from, or resilience against, potential harm. Architecture is meant to build things up to make them more useful. Security architecture is the design, development, and implementation of resilient networks and systems to protect the information that is stored, transmitted, and processed.
  

  • CYOM 535 - Principles of Cloud Security

    (3 semester hours)
    Prerequisites: Graduate Standing
    Description: This course provides guidelines for data security utilizing cloud computing by determining the boundaries of the cloud service provider (CSP) responsible for ensuring that customer data is properly secured. Depending on the cloud services (i.e. IaaS, PaaS, SaaS), the security of the data is the responsibility of the Cloud Service Consumer (CSC) themselves. For example, in some cases the CSP may be responsible for restricting access to the data, while the CSC remains responsible for deciding which cloud service users (CSUs) should have access to it, and the behavior of any scripts or applications with which the CSU processes the data. This course identifies the security controls protecting CSC data that can be used in the different stages of the full data lifecycle.
  

  • CYOM 569 - Securing Software and Application Environments

    (3 semester hours)
    Prerequisites: Graduate Standing
    Description: Cybersecurity for applications and software provides the security architecture as it applies to the continuous development and deployment of application and software. This course demonstrates the techniques to improve the organization’s security at every level, including the application and software layer. By combining development operations and security with consideration for cloud services, an integrated approach is used to ensure the cyber protections are implemented at all levels of the infrastructure. This course will provide the skills to implement security at each layer, such as web application, cloud infrastructure, communication, and service delivery. Topics include exploring core security aspects of blocking attacks, fraud detection, cloud forensics, and incident response. Additionally, cybersecurity topics on extending development operations (DevSecOps) security practices, risk assessment, threat modeling, and continuous security monitoring.
  

  • CYOM 599 - Leadership, Ethics, and Compliance in Cybersecurity Industry

    (3 semester hours)
    Prerequisites: A Baccalaureate degree in computer science or a related technical field (e.g., electrical and computer engineering, information science, cybersecurity) or permission of instructor
    Description: In this course, the student will explore leadership and ethical business decision making as related to the use of technology. Ethical obligations have both a professional and a personal dimension. Each are essential to consider; without a sense of personal ethics, one would be indifferent to their effect on the lives of others in circumstances where one’s professional code is silent. Personal leadership helps us to be sure that we take full responsibility for our moral choices and their consequences. This course addresses professional leadership and ethics in information technology as it applies to practical business managers and systems. This course teaches the student how to gain knowledge and understanding of a number of aspects, including: the types of harms the public can suffer as result of misuse of information technology; the importance of an individual privacy of information; legal and constitutional rights to protect information; and obligations of organizations to protect the public and ethical decision making.
  

  • CYOM 661 - Principles of Cybersecurity & Cyber Warfare

    (3 semester hours)
    Prerequisites: Bachelor of Science degree in Computer and Information Sciences
    Description: The course introduces the student to the interdisciplinary field of cybersecurity. Topics include the evolution of information security into cybersecurity and exploring the relationship of cybersecurity to organizations and society. Analysis of the threats and risks to/in these environments are examined. The ultimate goal of this course is for the student to acquire the advanced knowledge required to develop the skills needed to integrate knowledge from this course into a workplace environment. Cross-listed with CISC 661 . 
  

  • CYOM 662 - Ethical Hacking Development Lab

    (3 semester hours)
    Prerequisites: CISC 661  or CYOM 661  
    Description: This course integrates cyber risk management into day-to-day operations. Additionally, it enables an enterprise to be prepared to respond to the inevitable cyber incident, restore normal operations and ensure that the enterprise assets and the enterprise’s reputation are protected. This course focuses the student on a broad range of topics relative to the tools used to protect the enterprise from today’s cyber-threats. The intent is to focus on creating risk-based assessment tools for modeling approaches to solve cybersecurity issues, so organizations can build security framework and sustain a healthy security posture. This course analyzes external and internal security threats, failed systems development and system processes, and explores their respective risk mitigation solutions through policies, best practices, operational procedures, and government regulations. Cross-listed with CISC 662 .
  

  • CYOM 663 - Cyber Risk Assessment and Management

    (3 semester hours)
    Prerequisites: CISC 661  or CYOM 661  
    Description: This course integrates knowledge accumulated from the prerequisites and serves as a capstone for the concentration in Computer Security. Attention is focused on the techniques for protecting critical information infrastructures and the process of identifying the risk to data and information using case studies, application development, and systems assessment. Cross-listed with CISC 663 .
  

  • CYOM 683 - Special Topics in Cybersecurity Operations and Control Management

    (3 semester hours)
    Prerequisites: CYOM 663  or permission of instructor
    Description: This course explores a topic or collection of topics of special interest that is timely and in response to critical or emerging topics in the broad field of Cybersecurity Operations and Control Management.
  

  • CYOM 693 - Current Topics in Cybersecurity Operations and Control Management

    (3 semester hours)
    Corequisites: CYOM 663  or permission of instructor
    Description: This course explores a topic or collection of current topics that are timely and in response to critical or emerging topics in the broad field of Cybersecurity Operations and Control Management.
  

  • CYOM 699 - Applied Project in Cybersecurity Operations and Control Management

    (3 semester hours)
    Prerequisites: GRAD 695  or permission of instructor
    Description: This course allows the student to pursue an area of interest that is within the broad scope of Cybersecurity Operations and Control Management. A faculty member will supervise this study.

Entrepreneurship
  

  • ENTP 500 - Entrepreneurship and Innovation

    (3 semester hours)
    Prerequisites: Graduate Standing
    Description: Entrepreneurship and innovation are drivers of transformative change. This course introduces the concepts of innovation and entrepreneurship and strategies to take an idea into execution. Moreover, entrepreneurial and innovation ecosystems, and innovation within corporations are studied by utilizing case studies of some Silicon Valley companies.
  

  • ENTP 510 - Entrepreneurship: From Traction to Scale

    (3 semester hours)
    Prerequisites: ENTP 500  
    Description: This course introduces the theoretical knowledge and practical skills needed to successfully navigate through the second stage of the business start-up, which is to gain traction and scale. The student is taught the Lean Method to take their start-up from raising investment to scale. Moreover, this course will provide hands-on training in the technologies and strategies used by small and large corporations in all aspects of running a start-up business.
  

  • ENTP 520 - Economics of Innovation

    (3 semester hours)
    Prerequisites: Graduate Standing
    Description: This course introduces the role of innovation and technological change in business practice and economic growth. It analyzes sources of innovation in science, technology, and commercialization. Among others, the following topics are covered: the founding of new industries and new markets, commercialization of new technologies, incentives and organization of science, openness and proprietary/controlled innovation. Moreover, selected public policies toward invention and innovation are considered.
  

  • ENTP 530 - Financial Sustainability

    (3 semester hours)
    Prerequisites: ENTP 500  
    Description: Financial sustainability is the goal of every start-up and new business unit. Starting from a discussion of common business models, the course covers business models, financial projections, and pro forma statements., funding models, institutional venture capital investment, social entrepreneurship, crowdfunding, corporate investment, etc. The course also covers administrative, operations, and legal issues.
  

  • ENTP 699 - Applied Project in Techpreneurship

    (3 semester hours)
    Prerequisites: GRAD 695  and permission of instructor
    Description: This course allows the student to pursue an area of interest that is within the broad scope of Techpreneurship. A faculty member will supervise this study.

Graduate Studies
  

  • GRAD 690 - Graduate Independent Study

    (3 semester hours)
    Prerequisites: None
    Description: This course is designed for the student who demonstrates an interest in an area of study not offered or who wishes to pursue a discipline in greater depth than possible through existing courses. A learning contract between the student and instructor defines the responsibilities of the parties and specifies the learning objectives and standards for successful completion of the course.
  

  • GRAD 695 - Research Methodology and Writing

    (3 semester hours)
    Prerequisites: Completion of at least 18 graduate semester hours; must be taken prior to GRAD 699  
    Description: This course guides the student to develop and finalize a selected research problem and to construct a proposal that effectively establishes the basis for either writing a thesis or launching an experiential capstone project. The course provides an overview of strategies for effective problem investigation and solution proposal. Research methodology is studied and applied as part of suggesting a solution to a problem. Writing and formatting techniques are also explored and applied as a communication tool for cataloging the investigation and recommending the solution.
  

  • GRAD 699 - Graduate Thesis

    (3 semester hours)
    Prerequisites: GRAD 695  or permission of instructor 
    Description: In consultation with the advisor, the student conducts research designed in GRAD 695  to address a problem as identified in the solution proposal.

Healthcare Informatics
  

  • HCIN 500 - Healthcare Informatics

    (3 semester hours)
    Corequisites: HCIN 541  or MS Analytics Major or BS Nursing Major or by permission of instructor
    Description: This is the survey course for the Program in Healthcare Informatics, both for the certificate and the master’s degree. The student is exposed to the full range of healthcare informatics as it is employed in today’s workplace. This course discusses issues, trends, challenges, and applications related to the role of the Informaticist in Healthcare Systems and Institutions including big data management, electronic medical records systems, eHealth, data governance and data sharing. Case-based and project-based approaches are used for discussion and assignments. The student does not require academic healthcare system knowledge beyond that contained in ISEM541 Healthcare Systems, although clinical experience facilitates more rapid assimilation of content material and a deeper understanding of the overall curriculum. The overall goal of the course is familiarity with the potential contributions of informatics to both health outcomes and business operations so that successful learners return to their workplaces with sufficient knowledge to immediately function more effectively and efficiently as Informaticists. Cross-listed with ISEM 542 .
  

  • HCIN 515 - Essential Informatics Skills I

    (3 semester hours)
    Prerequisites: None
    Description: This is the first half of the keystone course for the Program in Healthcare Informatics, both for the certificate and the master’s degree. The student engages in a 3-credit executive format course which provides them with a robust set of tools for devising customized potential solutions to a range of Healthcare Information Technology (HIT) implementation challenges facing healthcare systems today. Interactive sessions are needed to facilitate mastery of interpersonal skills. The goal of the course is familiarity with basic techniques and current best practices for the planning, evaluation, implementation, adoption and optimization of healthcare IT systems. The successful learner will be able to plan and execute HIT projects, facilitate change, communicate effectively with all staff, and intervene with problem adopters.
  

  • HCIN 520 - Essential Informatics Skills II

    (3 semester hours)
    Prerequisites: HCIN 515 
    Description: This is the second half of the keystone course for the Program in Healthcare Informatics, both for the certificate and the master’s degree. The student engages in a 3-credit executive format course that provides them with a robust set of tools for devising customized potential solutions to a range of Healthcare Information Technology (HIT) implementation challenges facing healthcare systems today. Interactive sessions are needed to facilitate mastery of interpersonal skills. The goal of the course is familiarity with basic techniques and current best practices for the planning, evaluation, implementation, adoption and optimization of healthcare IT systems. The successful learner will be able to lead multidisciplinary teams, plan and execute HIT projects, work in an Agile/Lean environment, leverage adult learning theory, optimize the human-computer interface, and advise on HIT compliance issues.
  

  • HCIN 525 - Healthcare Case Studies Using Predictive Analysis

    (3 semester hours)
    Prerequisites: ANLY 512  or permission of the instructor 
    Description: This course is an elective course for graduate students studying Healthcare Informatics, Nursing, Pharmacy, Information Systems Engineering and Management, or Analytics and is intended to develop their understanding of using patient and administrative data to predict relevant outcomes and develop healthcare models. The course explores foundational concepts in data management, processing, statistical computing, and dynamic visualization. In this course, the student will investigate patterns, derive predictions in healthcare areas, and build models using selective predictive analysis techniques such as nonlinear regression, decision trees, probabilities, staffing models, queuing theory, event prediction, time series, rule-based modeling, and data visualization. The instructor will use case studies, and practical applications, small group projects, individual assignments, and a major course project to introduce students to simulations using existing data to master the various predictive models of healthcare analysis. 
  

  • HCIN 541 - Healthcare Systems

    (3 semester hours)
    Prerequisites: None
    Description: This course covers the basic principles, models and approaches of healthcare systems and introduces healthcare administration topics. The focus of the course is not on technologies but instead on the business and management aspects of healthcare. The course introduces the student to a wide range of healthcare topics such as healthcare business processes and business patterns, healthcare business process re-engineering and integration, healthcare clinical systems and services (patient care, physician support systems, health networks), hospital systems, management concerns, and government regulations. In addition, varied approaches and models of healthcare administration at local, national and international levels are discussed. Cross-listed with ISEM 541 .  
  

  • HCIN 545 - Healthcare Data

    (3 semester hours)
    Prerequisites: None
    Description: This course addresses the central role of healthcare data in both health outcomes and business operations. This is the basic course in healthcare data management for the ISEM graduate program as well as the program in Healthcare Informatics, both the certificate and master’s degree. The goal of the course is familiarity with basic techniques and current best practices for the governance, collection, cleaning, storage, sharing and handling of healthcare data. Case-based and project-based approaches are used for discussion and assignments. Prior experience in healthcare systems is not required, but knowledge of material contained in ISEM 541  Healthcare Systems is helpful in establishing context. Cross-listed with ISEM 545 .
  

  • HCIN 550 - Introduction to Healthcare Analytics

    (3 semester hours)
    Prerequisites: None
    Description: This is the analytics survey course for the Program in Healthcare Informatics, both for the certificate and the master’s degree. Graduate students are exposed to the wide range of analytics tools and techniques used in today’s workplace. The ultimate goal of the course is familiarity with the strengths and limitations of these tools so that successful learners return to their workplaces with sufficient knowledge to ask appropriate questions of the available data, choose the appropriate tools and techniques used to analyze the available data, and explain the strengths and weaknesses of any inferences made. Master’s Degree students in Healthcare Analytics desiring more in-depth analytics application knowledge will pursue elective courses in ANLY. The student does not require mathematical knowledge beyond high school level algebra, although introductory calculus knowledge facilitates understanding in a few areas such as matrices, vectors, and rates of change.
  

  • HCIN 560 - Finance and Insurance Informatics for Healthcare

    (3 semester hours)
    Prerequisites: HCIN 545  and HCIN 550  
    Description: Healthcare finance is at the core of issues surrounding quality healthcare delivery and reform in the U.S. healthcare system. It involves balancing the need to manage/control costs, while simultaneously investing in strategic opportunities. This course emphasizes basic financial management theory related to the healthcare industry. This course also investigates the financial relationships between the healthcare provider, the patient, the employer group, and the payer (insurer). Course’s focus is on budgeting, cost control, cost reimbursement, revenue, cost incentive programs, and financial analysis specific to healthcare. Moreover, healthcare billing practices from a variety of healthcare delivery systems are presented including an examination of insurance and reimbursement practices in terms of today’s healthcare industry, and Medicare and Medicaid in terms of payment and governmental policy. 
  

  • HCIN 699 - Applied Project in Healthcare Informatics

    (3 semester hours)
    Prerequisites: GRAD 695  or permission of instructor
    Description: This course allows the student to pursue an area of interest that is within the broad scope of Healthcare Informatics. A faculty member will supervise this study.

Human-Centered Interaction Design
  

  • HCID 500 - Design Perspectives

    (3 semester hours)
    Prerequisites: None
    Description: This course will introduce the student to the design perspectives encountered most often in human-centered interaction design. Design perspectives are attitudes towards how to do design which reflect their political, social, and technological beliefs about design practice. Through readings and case studies, the student explores a variety of perspectives in the domain of digital interactive design. The student delves into the foundations of design practice through different standpoints, histories, frames of reference and interpretations of different views of the ‘best’ way to design.
  

  • HCID 504 - Methods for Design Research

    (3 semester hours)
    Prerequisites: None
    Description: This course will introduce the student to the package of study design and research methods employed within human-centered interaction design. In this process-driven course, the lessons will be structured around design research methodology, execution, and reporting. The course will take place as a series of situation studios, in which the student engages their evolving design eye and research skills to research the people, processes, contexts, and temporalities of digital interaction opportunities. Through readings, discussions, and the exploration of examples, guidelines, and heuristics, the course engages the student in the ethical and entrepreneurial aspects of design research within design practice.
  

  • HCID 510 - Theories of Human Interaction

    (3 semester hours)
    Prerequisites: None
    Description: This course will introduce the student to the theories and perspectives of human social behavior that are employed most often in HCID. Drawing on canonical and new sociotechnical science literature, the course will present the student with overviews of theories of information, action, sociality, conflict, and interaction within traditional and digital environments. Through readings and examples, the course includes attention to sociotechnical theories around communities of practice, online communities, social media, and enterprise knowledge management. This seminar course offers the student a better understanding of the contexts and perspectives within which people interact with others, around and through offline, online, and hybrid environments.
  

  • HCID 520 - Users and Populations

    (3 semester hours)
    Prerequisites: None
    Description: This course will introduce the student to the design-based theories and contexts of users and populations, as found in human-centered interaction design. The course will be structured around three design contexts: cohorts; environments; and capabilities. The course will take place as a series of case-based seminars. Through readings, discussions, and the exploration of examples and heuristics, the course draws the student’s attention to the need to develop their design eye for contextual integration of user and population theory within design practice.
  

  • HCID 540 - Design Tools and Processes

    (3 semester hours)
    Prerequisites: Human-Centered Interaction Design major or permission of instructor
    Description: This course offers the student the opportunity to work with a variety of tools and processes that support design practice. The course exposes the student to traditional and digital tools, templates, and techniques for design. Using an example project supplied by the professor, the course is run as a series of studios. After using tools and processes in each stage of the design process, the student reflects on the suitability and use case for each tool and reflect of their evolving sense of self as a designer. The course covers the tools, processes, and techniques necessary to professionalize the student’s design practice.
  

  • HCID 570 - Design Patterns and Contexts

    (3 semester hours)
    Prerequisites: Human-Centered Interaction Design major or permission of instructor
    Description: This course introduces the student to the contextual design of patterned interfaces in human-centered interaction design. The course is structured as a series of seminars around four design area: contexts; visuals; patterns; and actions. Taking the approach of goal-driven design, the student will engage in reading, discussing, experimenting, and presenting design rationales for design choices around traditional and new digital interfaces. The course builds on what the student learned in the other courses and intensifies the student’s development of their design eye for contextually sensitive interaction design. The student will be challenged to consider areas of conflict and divergence within design thinking. While employing their own evolving capacity for design, the student will learn to manage conflicts between goal orientations, contextual needs, and environmental challenges.
  

  • HCID 680 - Special Topics in Human-Centered Interactive Design

    (3 semester hours)
    Prerequisites: Based on topic(s) covered or permission of instructor
    Description: The in-program elective choice will vary each year, depending on needs and abilities of students, faculty, and external clients. Some co-teaching across the university’s technology programs is expected to occur. For example, as an HCID in-program elective, courses could be offered in Designing Publics (Entertainment; Education; Engagement; Art and Activism); or in Ubiquitous Computing (wearables; smart homes; Internet of Things; 30 printing); or in Audiovisual Design Theories and Productions (Live streaming video; studio video production; sound production); or in Collaborative Crisis Response Management (natural disasters; environmental accidents; tragic events).
  

  • HCID 695 - Design Research Studio

    (3 semester hours)
    Prerequisites: Human-Centered Interaction Design major and completion of all core courses
    Description: This course is a one-on-one student-focused research preparation studio. This course requires the student to conduct original research and document a design space within the domain of human-centered interaction design. The course is the first of two experiential learning classes for the completion of the HCID. The course will prepare the student for the GRAD699 portion of the degree, within which the student ideates, produce, and test a conceptual prototype that addresses the design problem identified through the research and analysis done in this studio course.
  

  • HCID 699 - Applied Project in Human-Centered Interaction Design

    (3 semester hours)
    Prerequisites: HCID 695  
    Description: In consultation with the academic and/or industry advisor, the student will execute on the findings and recommendations derived in HCID 695 , towards a proof-of-concept of their work.

Information Systems Engineering and Management
  

  • ISEM 500 - Strategic Planning for Digital Transformation

    (3 semester hours)
    Prerequisites: None
    Description: This course introduces the basic principles (systems thinking and quantitative methods) of systems engineering and shows how these principles can be used to strategically plan, integrate, secure and administer the complex information systems that support and drive the current and future digital enterprises. Topics include: digital enterprises, aligning information technology strategy to business strategy, enterprise applications (customer relations management, procurement, supply chain management), ecommerce, decision support, knowledge management, artificial intelligence (AI) applications, cost/benefit analysis and information technology infrastructure. These topics are explained through case studies and examples by using a strategic planning methodology.
  

  • ISEM 501 - Information and Communication Technologies (ICT) Principles

    (3 semester hours)
    Prerequisites: None (This course is designed for the student that does not have a CS or IT background.)
    Description: This course provides the basic background in the rapidly advancing field of information and communication technologies (ICTs). It offers a rigorous overview of the current, as well as emerging, ICT building blocks that enable and drive modern enterprises. The first part of the course introduces the student to the key building blocks (enterprise applications, computing platforms, databases, and networks) of the modern IT infrastructure. The emphasis is on the Internet, broadband wired and wireless networks, classical Web, Semantic Web, XML, Web 2.0, social networking, and mobile computing. The second part of the course introduces the student to the main aspects of software development processes through hands-on projects. Basic software concepts are explored within this context by developing simple web sites using HTML and then using JavaScript, Java applets and XML to introduce more sophisticated features. The student has an opportunity to learn database technologies and run simple database queries using SQL.
  

  • ISEM 502 - User-Centered Design

    (3 semester hours)
    Prerequisites: None
    Description: A high level of end-user and client involvement is absolutely critical in creating usable and effective software and technology that attracts audiences and/or generates revenue. User- centered design (UCD) describes an approach to business analysis and technology development that demands user interaction and user feedback in all stages of the development lifecycle. The UCD process involves a collection of activities and techniques that can be used to create the more usable, intuitive, and effective technology possible. This course covers the full range of UCD methods and demonstrates the importance of these techniques in designing and building interactive technology, focusing mostly on software applications.
  

  • ISEM 503 - Artificial Intelligence Principles and Applications

    (3 semester hours)
    Prerequisites: ISEM 500 
    Description: Interdisciplinary presentation of artificial intelligence as a coherent body of knowledge to acquaint the student with the key concepts and applications in business, science and engineering. The course covers models of intelligent behavior, including problem solving, knowledge representation, reason, planning, decision making, learning, perception, pattern recognition, action, communication and interaction. Recent developments in knowledge management, expert systems, computer-aided consulting and integrated intelligent systems are covered through a wide range of case studies, examples and hand-on experiments.
  

  • ISEM 515 - Commercialization of New Technologies

    (3 semester hours)
    Prerequisites: None
    Description: This course is designed to prepare a Next Generation Technologist for taking their innovation to the public marketplace. It is an introduction to a wide range of practical aspects, which are important to realizing the commercial potential of the innovation. Topics include corporate formation, team recruitment, intellectual property protection, supply-chain development, production and scaling, marketing and sales, media relations, venture capital markets, investor relations, social and business networks, organizational culture, and business development.
  

  • ISEM 520 - Service Science, Management and Engineering

    (3 semester hours)
    Prerequisites: None
    Description: This course addresses Service Science, Management and Engineering (SSME) as a growing discipline that integrates aspects of established fields like computer science, operations research, engineering, management sciences, business strategy, social and cognitive sciences, and legal sciences.
  

  • ISEM 521 - Life Science for IT Professionals

    (3 semester hours)
    Prerequisites: None
    Description: This course provides an ample spectrum of basic topics such as life science fundamentals, gradually leading to introduction to the interface between automation/IT applications for several fields of such as medicine, diagnostics, medical devices, agriculture, environment, food, pharmaceutics, and Nanobiotechnology. These topics allow the student to be introduced to an area of specialization in IT support, bioinformatics research or programming applications for the life sciences industry. The course starts with an overview of essential concepts of biological systems and proceeds to the structures and functions cellular macromolecules, particularly nucleic acids and proteins directly involved in storage and retrieval of biological information. After building a sound introduction to the basics of the living system, the course introduces the interface between these basic structures and applications of information technology to a variety of fields of applied life science.
  

  • ISEM 525 - Business Process Modeling and Workflow Systems

    (3 semester hours)
    Prerequisites: ISEM 500  or PMGT 510 
    Description: This course introduces the concepts of business process modeling and workflow systems in modern enterprises. In-depth modeling techniques used to capture business processes, workflows and conceptual information models are covered. Emphasis is placed on business modeling techniques such as the Business Process Modeling Notation (BPMN), business-use case modeling, Entity Relationship (ER) modeling, and other selected techniques from the Unified Modeling Language. The emphasis is on concepts and how these concepts are being used in practice by the most recent tools. The student develops business models to reflect case studies and real-world scenarios.
  

  • ISEM 528 - Industry Analysis and Technology Patterns

    (3 semester hours)
    Prerequisites: None
    Description: Complex interdependencies exist between various industry sectors and emerging technologies. This course is designed to prepare a Next Generation Technologist for a broad understanding of industries and their dependence on emerging technologies. Topics include analysis of the key industry sectors in the digital age and an examination of their financial and logistical interdependencies. Focus is on industry ecosystem as the network of organizations - including suppliers, distributors, customers, competitors, government agencies, and others - involved in the delivery of a specific product or service through competition, cooperation, and organizational learning. Particular attention is paid to the role of substitute technologies that could disrupt an entire industry ecosystem. Several real-life case studies and examples with particular focus on supply chains will be used to illustrate the key points.
  

  • ISEM 530 - Analysis and Design of Modern Information Systems

    (3 semester hours)
    Prerequisites: ISEM 500 
    Description: This course prepares the student to analyze business information systems and to build models and logical designs that can be later implemented. The emphasis is on the business processes and business requirements needed to build conceptual models that help in analysis of business requirements. This course prepares the student to design complex systems and build applied designs and architectures.
  

  • ISEM 534 - Database Design and Management

    (3 semester hours)
    Prerequisites: None
    Description: This course emphasizes the practical aspects of the design and administration of modern Database Management Systems (DBMSs) that host enterprise data. Specific topics include the role of data in modern enterprises and the data life cycle that spans conceptual database design, database query languages such as SQL, database integrity rules, database administration, and data warehouses. This course utilizes commercially available relational DBMSs for hands-on experiments and explore how to create an entity-relationship data model, translate that model into relational schema, build and use a relational database that implements the schema, create SQL queries to retrieve and manipulate needed data, provide access to remote databases from web browsers, and experiment with DBA (Database Administration) capabilities. The student also investigates recent developments in database technologies (e.g. NoSQL). This course prepares the student for database design and administration positions and will also provide the necessary background for more specialized courses in database systems.
  

  • ISEM 536 - IT Infrastructure and Cloud Computing

    (3 semester hours)
    Prerequisites: ISEM 501  or permission of the instructor. (This course is designed for the student that does not have a CS or IT background.)
    Description: This course concentrates on the practical aspects of Internet technologies, architectures and administration. Topics include: IT infrastructure, Internet Service Providers (ISPs), communications network principles, Internet Protocols, IPv4, IPv6, TCP sockets, and Internet of Things (IoTs). Administrative topics are network management, website administration, introduction to network security, wireless technologies and mobile computing. Classroom projects expose the student to network architectures for small to large enterprises. This course prepares the student for network planning administration positions and provides the necessary background for more specialized courses in communication networks.
  

  • ISEM 539 - Enterprise Architecture Frameworks

    (3 semester hours)
    Prerequisites: ISEM 500 
    Description: This course provides an overview of the common enterprise-wide architectural framework that drives business decisions regarding selection, implementation and management of ICT systems and solutions. In addition, different enterprise architecture frameworks are reviewed and the most commonly used framework - TOGAF (The Open Group Architecture Framework) - is examined in detail. The course topics include supporting and transforming Global Value Chains; e-business designs; creating an enterprise architecture; and the various methodologies, tools and techniques used in the design and implementation of the enterprise architecture. The course encompasses all aspects of information and communications technology, including data networks, applications, operating systems, database systems, telecommunications systems, and hardware components in the context of a total enterprise-wide framework.
  

  • ISEM 540 - Enterprise Architecture and Integration

    (3 semester hours)
    Prerequisites: ISEM 500 
    Description: Modern digital enterprises are characterized by increased automation, mobile services, extended B2B operations with global business partners, and on-demand business services. This course presents a ‘systems’ perspective based on service-oriented architecture (SOA) that combines processes, people and technologies, and highlights the role of information and communication technologies, enterprise models, and emerging SOA standards to develop flexible and integrated business architectures.
  

  • ISEM 541 - Healthcare Systems

    (3 semester hours)
    Prerequisites: None
    Description: This course covers the basic principles, models and approaches of healthcare systems and introduces healthcare administration topics. The focus of the course is not on technologies but instead on the business and management aspects of healthcare. The course introduces the student to a wide range of healthcare topics such as healthcare business processes and business patterns, healthcare business process re-engineering and integration, healthcare clinical systems and services (patient care, physician support systems, health networks), hospital systems, management concerns, and government regulations. In addition, varied approaches and models of healthcare administration at local, national and international levels are discussed. Cross-listed with HCIN 541 . 
  

  • ISEM 542 - Health Informatics and Information Systems

    (3 semester hours)
    Prerequisites: Graduate Standing
    Description: This course introduces the basic concepts of healthcare information systems and explains the role of information and communication technologies in current and future healthcare systems. The course reviews the role of different players in healthcare: providers, physicians, and insurance companies. Topics covered in healthcare informatics include: health information networks (HINs) at local, regional, national and global levels; information technology systems and applications; standards and interoperability topics; electronic health records (EHR) and EMR; clinical decision support; computer physician order entry (CPOE), and e-prescriptions, privacy and security concerns, financial/administrative systems, and examples of IT infrastructure for healthcare. Cross-listed with HCIN 500 .
  

  • ISEM 543 - Digital Health

    (3 semester hours)
    Prerequisites: Graduate Standing
    Description: This course explains the basic principles of e-Health and m (mobile)-Health through case studies and examples. The student is shown how to effectively develop and administer e-Health systems using web technologies. A wide range of case studies and examples of e-Health systems are used. The course also examines how wireless networks and mobile computing applications are used in healthcare informatics. The student investigates the latest developments in the field and identifies research topics of importance.
  

  • ISEM 544 - Social, Technical and Organizational Issues in Digital Health

    (3 semester hours)
    Prerequisites: Graduate Standing
    Description: This course covers a wide range of socio-technical issues in healthcare information technologies. The focus is on the healthcare workplace as a dynamic system in which people, processes and technologies interact and influence each other. The course focuses on the people, processes and technologies related to important areas such as security and privacy, public policies and regulations, medical decision support systems and knowledge management in healthcare, electronic health records (HER), telemedicine systems, wireless sensor networks in healthcare, and others. Case studies and examples are used highlight practical aspects of socio-technical interactions.
  

  • ISEM 545 - Healthcare Data

    (3 semester hours)
    Prerequisites: None
    Description: This course addresses the central role of healthcare data in both health outcomes and business operations. This is the basic course in healthcare data management for the ISEM graduate program as well as the program in Healthcare Informatics, both the certificate and master’s degree. The goal of the course is familiarity with basic techniques and current best practices for the governance, collection, cleaning, storage, sharing and handling of healthcare data. Case-based and project-based approaches are used for discussion and assignments. Prior experience in healthcare systems is not required, but knowledge of material contained in ISEM 541  Healthcare Systems is helpful in establishing context. Cross-listed with HCIN 545 .
  

  • ISEM 547 - IT Management

    (3 semester hours)
    Prerequisites: ISEM 500  or permission of instructor
    Description: This course introduces the core principles and practical methods and techniques for effectively managing Information Technology (IT) systems and organizations. The emphasis is on business and information technology for planning, investing, budgeting, assessing value and risks, as well as governing and securing Information Technology organizations and assets. Topics include management and leadership roles and challenges associated with IT manager in the digital enterprise, organizational design for flexible IT organizations, corporate and IT governance frameworks, IT policies and controls for the business, risk assessments and response planning, IT finance and budgeting, and the role of close-based IT services in modern organizations. Extensive practical exercises and case study method will be used throughout the course.
  

  • ISEM 550 - Cyber Security Management

    (3 semester hours)
    Prerequisites: ISEM 500  
    Description: This course covers the technical and administrative aspects of security, privacy and control that are vital to IS management. A comprehensive overview of security and IT control principles and practices that are needed to satisfy the IS systems integrity, confidentiality and availability requirements are addressed. Topics include security awareness, IS Security and Control Practices, IT audit principles and standards, risk analysis, and process-flow analysis for auditing.
  

  • ISEM 551 - Web-based Software Engineering

    (3 semester hours)
    Prerequisites: ISEM 501  or IT/CS background or degree
    Description: This course is an introduction to web-based software engineering environments, design patterns, frameworks and key architectural aspects of robust enterprise applications. Topics for software development technologies include development languages and frameworks (e.g., .Net, Java, open-source), various tools used during the development lifecycle, and key components of an application in terms of the data, process and presentation layers. Architectural topics include prevalent design patterns such as model-view-controller (MVC), Web Services, and service-oriented architecture (SOA). The student uses computer-aided software engineering (CASE) environments and develops software architectures of real-life enterprise applications.
  

  • ISEM 555 - Mobile Computing and Wireless Communications

    (3 semester hours)
    Prerequisites: ISEM 500 
    Description: This course provides a management overview of wireless networking and mobile computing with a key focus on the building blocks and their inter-relationships.
  

  • ISEM 558 - IoTs and Industry4.0

    (3 semester hours)
    Prerequisites: Graduate Standing
    Description: This course is an introduction to the area of Internet of Things (IoTs) with a special focus on Embedded Systems and their applications. The course addresses a wide breadth of technologies and standards used to support this rapidly evolving domain. This includes the embedded system hardware, software, and operating systems. It also goes through wireless connectivity systems used for IoT, as well as the cloud support. The student will have an opportunity to explore current and future applications of IoTs and embedded systems in healthcare, energy, manufacturing, agriculture, transportation, and other vial sectors.
  

  • ISEM 560 - eGovernment and eCommerce

    (3 semester hours)
    Prerequisites: ISEM 500 
    Description: eGovernment and eCommerce (EG/EC) are changing the landscape of business. This course introduces the basic building blocks of EG/EC with an emphasis on strategies and applications and a brief discussion of the enabling technologies. The course provides a review of EC models and applications such as online purchasing, customer relationship management, electronic marketplaces, application service providers, supply chains, enterprise resource planning, and enterprise portals.
  

  • ISEM 561 - Public Administration

    (3 semester hours)
    Prerequisites: MGMT 511 
    Description: This course introduces the concepts of public administration with emphasis on key building blocks such as business processes, leadership, personnel management, budgeting, law enforcement and social welfare. The objective is to examine how public sector organizations work and how administrators can operate in such environments. The course covers the most important functions and processes of government agencies and non-profit organizations. The leadership strategies for increased public-sector effectiveness through the typical management processes of planning, organizing, monitoring, control and governance are discussed. The sources of public and non-profit revenue and expenditures are examined in the context of budget management. The topics of law enforcement management with public and non-profit managers are briefly reviewed with an emphasis on human resource accounting and personnel management. Public administrators are invited as guest speakers for local and global perspectives on these topics and to compare/contrast public agencies with their private sector counterparts.
  

  • ISEM 562 - Public Policy

    (3 semester hours)
    Prerequisites: Graduate Standing
    Description: This course gives an overview of the broad field of public policy and examines the key concepts, theories and practical operational methods of public policy. The course presents with an examination of the core concepts in the formulation, implementation, and impact of public policy and covers the role of administrative law in the formulation, implementation and evaluation of public policy. The ethical arguments inherent in public policy decisions and compliance with legislated ethical standards are examined. The policies, politics and administrative activities of federal, state, and local levels are considered. The interaction of the public sector, the private sector, and citizen groups in the implementation of environmental policy is discussed and the role of planning process as a decision-making tool in the implementation of public policy is examined. The course uses a wide range of national and international policy examples in areas such as housing and community development, social welfare, employment programs, transportation, the internet and telecommunications.
  

  • ISEM 564 - Big Data and Machine Learning

    (3 semester hours)
    Prerequisites: ISEM 501  or ISEM 534 , or permission of instructor
    Description: This course introduces the main concepts of big data with focus on applications of big data and data sciences in business settings. The student explores several Open Big Data (OBD) sources and investigates applications of OBD in health, education, public safety, public welfare and other vital sectors. Through hands-on experiments, the student develops a significant understanding of data science and practical applications of big data. Some tools used by practitioners of data science and analytics are introduced but sophisticated mathematical or programming background is not required.
  

  • ISEM 565 - Business Intelligence and Decision Support Systems

    (3 semester hours)
    Prerequisites: ISEM 500 
    Description: Modern “electronically enabled” enterprises rely increasingly on knowledge that needs to be managed and processed through a variety of intelligent tools. This course covers business intelligence and knowledge management in modern enterprises and discusses how the decision support and expert systems tools can be used for effective decision making in organizations.
  

  • ISEM 568 - Aligning Business Strategy with IT Strategy

    (3 semester hours)
    Prerequisites: ISEM 500 
    Description: This course discusses how the information technology (IT) strategy can be aligned with business strategy to compete and become successful. The focus is on the major elements of the business and IT strategic management models and their inter-relationships. Different alignment models such as the Henderson-Venkataraman model are discussed in detail through case studies.
  

  • ISEM 570 - IT Quality Assurance

    (3 semester hours)
    Prerequisites: ISEM 500  or permission of the instructor
    Description: The information technology product is central to most business systems. Quality of the product is represented by accuracy, reliability, repeatability and specific customer requirement standards. Various techniques to understand the quality control processes and quality assurance measures are demonstrated and industry standards and protocols are covered.
  

  • ISEM 572 - Smart Cities and Strategic Intelligence

    (3 semester hours)
    Prerequisites: ISEM 500  or permission of instructor 
    Description: This course addresses advances in research, technologies, systems, and applications as related to “strategic intelligence.” Strategic intelligence (SI) refers to the intersection of Business Intelligence, Knowledge Management, and Competitive Intelligence for improving the strategic decision making in Smart Cities. Instead of intelligence on one topic area, smart cities need strategic intelligence that covers multiple topic areas. This course discusses methodologies, trends, challenges, and applications as related to knowledge management, intelligent systems, automated planning and scheduling systems, analytics, and Big Data.
  

  • ISEM 574 - Block Chains and Trusted Systems

    (3 semester hours)
    Prerequisites: Graduate Standing (ISEM 550  recommended)
    Description: Blockchain technologies is believed to be a disruptive innovation that enables secure global business transactions. Blockchain was originally developed for the digital currency, Bitcoin, that is currently valued at more than 9 billion USD. Several new applications of blockchain “as a platform” are currently under investigation in several countries such as Canada, South Korea, Singapore, Japan, and Dubai. Some applications include but are not limited to cybercurrency, insurance, and food safety. In this course, the student will study the concepts of blockchain, the type of applications that this platform will enabled and why this “digital gold” is expected to be similar to the coming of Internet in the late 90s.
  

  • ISEM 580 - Special Topics in Information Systems Engineering and Management

    (3 semester hours)
    Prerequisites: None
    Description: This course explores a topic or collection of topics of special interest that is timely and in response to critical or emerging topics in the broad field of information systems engineering and management. Due to the nature of evolving topics, this course may not be eligible for repeat.
  

  • ISEM 581 - Independent Study in Information Systems Engineering and Management

    (1 to 3 semester hours)
    Prerequisites: None
    Description: This course is designed for the student who demonstrates an interest in an area of study not offered or who wishes to pursue a discipline in greater depth than possible through existing courses. A learning contract between the student and instructor defines the responsibilities of the parties and specifies the learning objectives and standards for successful completion of the project. A calendar of meeting times and deadlines shall be a part of that contract.
  

  • ISEM 620 - Graph Databases and Applications

    (3 semester hours)
    Prerequisites: ISEM 540  or permission of the instructor 
    Description: This course serves as an in-depth investigation of Graph Databases, with some study of multi-model database systems. Primary emphasis will be given to graph databases and graph database applications. The student will perform database selection, database design, graph query creation, and graph database application programming to address the needs of data-intensive applications in smart organizations.
  

  • ISEM 699 - Applied Project in Information Systems Engineering and Management

    (3 semester hours)
    Prerequisites: GRAD 695  or permission of instructor
    Description: This course allows the student to pursue an area of interest that is within the broad scope of Information Systems Engineering and Management. A faculty member will supervise this study.
  

  • ISEM 700 - Smart Enterprises and Strategic Intelligence

    (3 semester hours)
    Prerequisites: Admission to ISEM Doctoral Program
    Description: Smart Enterprises are the next generation of digital enterprises that heavily rely on artificial intelligence (AI) to deal with customers, suppliers/partners, government agencies and employees. This course highlights advances in research, technologies, systems, and applications as related to intelligent digital enterprises such as smart cities, smart towns, smart healthcare, smart islands, industry4.0, and automated planning environments. The emphasis is on “strategic intelligence” (SI) that refers to the intersection of Business Intelligence, Knowledge Management, and Competitive Intelligence for improving the strategic decision making in Smart Enterprises. Instead of intelligence on one sector, SI concentrates on intelligence that cuts across multiple sectors. The course uses case-based and project-based approaches for discussion and assignments, but the focus is on research directions in this broad area of work. The student is expected to produce a research paper as the final output of this course.
  

  • ISEM 705 - Advanced Design Project

    (3 semester hours)
    Prerequisites: Completion of 12 credits in the Advanced Studies Program or Admission to ISEM Doctoral Program
    Description: This course goes beyond the master’s level capstone courses and concentrates on the design of complex intelligent systems in modern settings. Instead of behavioral research approaches, the emphasis is on design science approach, where artifacts are designed based on iterative prototyping, modeling, and simulation techniques. In addition to a written document that catalogs the investigation, a demonstration of the proposed design is required through gamifications and/or actual operational prototypes. A student who has developed a system design in ISEM capstone may implement or further enhance and enrich his/her design in this course.
  

  • ISEM 706 - Research Methods in Information Systems Engineering and Management

    (3 semester hours)
    Prerequisites: ISEM 580 -Special Topics: Introduction to Research Methods and Admission to ISEM Doctoral Program, or permission of instructor  
    Description: This course will build on the introduction to research methods provided in GRAD 509 to examine and practice advanced methods of research and study design. Topics covered will include research theorizing and model development, instrument development and validation, structural equation modeling, multivariate techniques, grounded theory, action research, multi-methods, and significant study of design science research. 
  

  • ISEM 710 - Knowledge Engineering

    (3 semester hours)
    Prerequisites: Completion of all 500-level Breadth courses and ISEM 706 , or permission of instructor 
    Description: This course concentrates on research and methods relevant to the analysis, critique, and creation of structures and formalisms for the acquisition, representation, distribution, and application of knowledge in intelligent and increasingly digitally and computationally driven organizations. Topics will include, but not limited to, ontologies and ontology engineering, genetic algorithms, fuzzy logic and reasoning, knowledge-based systems, explainable AI, taxonomies, Web X.0 formalisms, hybrid AI-KBS approaches (e.g., neuro-symbolic AI), knowledge graph construction and general knowledge-driven computing for the solution of complex problems.  
  

  • ISEM 712 - Cyber-Physical Systems

    (3 semester hours)
    Prerequisites: Completion of all 500-level Breadth courses and ISEM 706 , or permission of instructor  
    Description: This course focuses on theories and issues surrounding the design and implementation of complex cyber-physical systems. Topics covered will encourage a command of models and theories, i.e. mathematical, organizational and/or cognitive, that underlie the design, construction, verification, control, and interaction of computational and physical components of systems in multiple areas of application, such as agriculture, healthcare, supply chain, and manufacturing.  
  

  • ISEM 715 - Systems Science

    (3 semester hours)
    Prerequisites: Completion of all 500-level Breadth courses and ISEM 706 , or permission of instructor
    Description: This is a research-focused course that demands extensive student research (readings), academic writing and presentation. This course introduces the student to the discipline of “Systems Science”, which is characterized by multiple definitions but represents a field of scientific inquiry focused on the study of “systems”. The concept of “System” is introduced and discussed in a mathematical form. The relationship between mathematics, computer technology and systems science is also explored. Conceptual frameworks within which to characterize Systems Science are discussed. A Systems Methodology is presented as a guide within which to address system problems, including the development of systems models. The topics of complexity and complexity reduction are also discussed. The history and the current future states of Systems Science research are also explored.  
  

  • ISEM 720 - Advanced Applications of Satellite Systems

    (3 semester hours)
    Prerequisites: Completion of at least 18 graduate semester hours and good knowledge of Web Technologies (equivalent to ISEM 501  ) or a degree in IT/software engineering/computer science or Admission to ISEM Doctoral Program 
    Description: This course covers major aspects concerning the field of advanced applications of satellite systems and remote sensing data. These satellites can be classified by their function since they are launched into space to do a specific job and hence the satellite must be designed specifically to fulfill its role. The focus of the course is on large and complex applications of satellites and remote sensing data in Health, Public Safety (e.g., disaster recovery), Public Welfare (e.g., economic development), Energy, Environment, Tourism, Agricultures, Smart Cities, and other satellite application areas such as weather forecasting and satellite radios/TV. After an introduction to satellite technologies, this course concentration on innovative satellite applications to solve real life problems.  
  

  • ISEM 725 - Advanced Business Process Modelling and Intelligence

    (3 semester hours)
    Prerequisites: Admission to ISEM Doctoral Program
    Description: In-depth coverage of current practical, conceptual, and theoretical techniques of process modeling, simulation, and intelligence. Primary emphasis is given to understanding and applying various modeling techniques and languages (such as BPEL), types of simulations (such as discrete event simulation), and to using various techniques and tools (such as PROM) to develop data-driven models/prescriptions of process models. All the foregoing will be considered within the context of the development of solutions to both practical and cutting-edge problems. The student conducts a focused literature review on some advanced aspect of the studied material and issues.
  

  • ISEM 730 - Advanced Systems Engineering

    (3 semester hours)
    Prerequisites: Admission to ISEM Doctoral Program
    Description: This course introduces the student to the discipline of “Large Scale Systems Engineering”. Also referred to as “Requirements Driven Development” as well as “Systems Engineering”, it represents a disciplined technical and management process by which abstract complex problem descriptions are successfully transformed into fully developed, tested and deployed systems. Discussed are the “art” and “science” of the Large-Scale Systems Engineering discipline. Evolution of Systems Engineering and Advances in Systems Science are discussed. Specialized concepts involved in developing human-engineered complex systems are reinforced primarily through student research and writings. This is a research-focused course that demands extensive student research and academic writing as well as advanced mathematical techniques such as optimization and stochastic processes.
  

  • ISEM 735 - Advanced Applications of Machine Learning and Deep Learning

    (3 semester hours)
    Prerequisites: Completion of at least 18 graduate semester hours and knowledge of Machine Learning/Deep Learning approaches/applications (equivalent to ISEM 503   or ANLY 530  ) or Admission to ISEM Doctoral Program
    Description: This course concentrates on how the latest thinking/ideas/applications in Machine Learning/Deep Learning (ML/DL) can be used in large scale and complex enterprise problems. Instead of exploring new ML/DL algorithms and techniques, this course explicitly focuses on advanced applications of ML/DL techniques to solve digital enterprise problems that span Health, Education, Public Safety, Public Welfare, Utilities, Smart Cities and Communities, B2B Networks, and other Industrial Eco-systems. The students will select an applied research problem that could be possibly published as a conference paper and/or demonstrated as a solution prototype. 
 

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