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 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 the analysis of business requirements. This course prepares the student to design complex systems and build applied designs and architectures.

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 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.

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.

ISEM 740 – Enterprise Engineering (3 semester hours)
Prerequisites: Completion of all 500-level Breadth courses and ISEM 706, or permission of instructor
Description: This course recognizes that the systems that we call enterprises must be (re)designed and (re)engineered. This course will provide an opportunity to gain fluency in theories and techniques of enterprise engineering through a study of enterprise ontology, modeling, and organizational design.

ISEM 745 – Research in Industry Analysis and Technology Patterns (3 semester hours)
Prerequisites: Completion of all 500-level Breadth courses and ISEM 706, or permission of instructor
Description: This course will provide the tools and knowledge necessary for students to conduct analyses of single- and cross-industry ecosystems. After a brief review of existing tools, such as Porter’s Five-Forces model, PEST analysis, and SWOT analysis, the course will turn to the use of various databases, research, and other sources of data, information, and tools that allow description and prediction of industry trends and technologies that course shape industrial, socio-technical, and societal forces and outcomes.

ISEM 750 – Simulation Modeling and Analysis (3 semester hours)
Prerequisites: Completion of all 500-level Breadth courses and ISEM 706, or permission of instructor
Description: Simulations and simulation tools provide a valuable means for modeling and analyzing complex systems, especially when analyzing real-world systems and objects which are not amenable to manipulation or data collection. This course will provide in-depth exposure to simulation modeling, simulation software, simulation analysis, relevant probability distributions, agent-based modeling and simulation, system dynamics, discrete-event simulation, and multi-method modeling.

ISEM 755 – Smart Cities, Societies, and Governments (3 semester hours)
Prerequisites: Completion of all 500-level Breadth courses and ISEM 706, or permission of instructor
Description: This course will concentrate on smart cities, societies, and governments as human cyber-physical systems. Students will use theory, concepts, and techniques to investigate large-scale human collectives as “sociotechnical ecosystems of people, technology, organizations, and information.” (Cassandras, C. (2016). Engineering, vol. 2 (2)). Topics will include, but not be limited to, big-city data, sensing and sensors, IoTs, smart grids and energy, smart services, information and data ethics, smart transportation, and dynamic resource allocation.

ISEM 760 – Advanced Topics in Operations Management (3 semester hours)
Prerequisites: Admission to ISEM Doctoral Program
Description: This course discusses how Operations are designed in modern digital organizations and how managers can use Information Technology (IT) to support these operations. Business operations in modern organizations are defined based on business strategies. The main focus of this course is to learn a) how business strategies are designed and implemented, b) how business operations are defined and managed, and c) how IT is used to enable business operations. Recent research and industry trends in the field of operations management are discussed in some detail. The course systematically guides the student to conduct a focused literature review on some advanced aspect of the studied material and produce a research paper. The student uses hands-on tools for practical insights.

ISEM 770 – Advanced Topics in ISEM (3 semester hours)
Prerequisites: Completion of 12 semester hours of Breadth or Depth doctoral courses
Description: This course discusses overall research and industry trends in intelligent digital enterprises, industry4.0, intelligent planning and scheduling systems, next generation of digital infrastructure, business models, systems engineering, and other extant areas of work such as artificial intelligence, big data and analytics. The exact topics discussed will change with time. The main focus is on guiding the student to emerging relevant trends and to expose the student to a repository of potential “Ph.D. hard” questions (i.e., the questions that require Ph.D. level research).

ISEM 780 – Doctoral Research Seminar (3 to 6 semester hours)
Prerequisites: Completion or all Breadth and Depth course requirements; pass qualifying examination
Description: This course provides support to the doctoral student within their specific domains of research. Led by the faculty advisor for that domain, the course is designed to provide a forum where faculty and the student can come together to discuss, support, and share the experiences of working in research. Research topics in the broad area of information systems engineering and management are discussed. Topic areas may concentrate on industry sectors (e.g., health, education, manufacturing, transportation, energy, environment, agriculture and others), emerging digital technologies and their impacts on the digital enterprises, and/or latest developments in systems engineering principles such as planning, architectures, integration, engineering/re-engineering, and engineering management. Each topic area will be studied in-depth to educate the student in conducting independent research. May be repeated for credit.

ISEM 799 – Doctoral Studies (Thesis) (6 semester hours)
Prerequisites: ISEM 780; pass comprehensive examination
Description: Advancement to candidacy is a prerequisite of this course. 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. May be repeated for credit.

MGMT 721 – Management Sciences I (3 semester hours)
Prerequisites: Completion of all 500-level Breadth courses and ISEM 706, or permission of instructor
Description: This course is concerned with the use of quantitative approaches to solve business, management, and social problems. Advanced management science combines operations research and management systems to model complex management problems to discover and apply optimal solutions. The student is expected to investigate complex managerial and societal problems using scientific methodologies. Topics include, but are not limited to, Management Science Research, Linear Programming, Modeling with Spreadsheets, Linear Programming, Inventory Management, and Operations Research in the Public Sector.

MGMT 722 – Management Sciences II (3 semester hours)
Prerequisites: MGMT 721
Description: A continuation of Management Science I, combining operations research and management systems to model complex management problems to discover and apply optimal solutions. Topics include, but are not limited to, queuing models, non-linear optimization, heuristic techniques, and game theory.

MGMT 731 – Innovation and Entrepreneurship (3 semester hours)
Prerequisites: Admission to ISEM Doctoral Program
Description: In this course, the models for successfully organizing technologically-driven innovations, in entrepreneurial and established firms, are studied, and critiqued. The student learns to develop innovative-based strategies, which will cause entrepreneurial organizations to earn sustained competitive advantage. The student also discovers how to identify, build, and commercialize technological innovations. This course emphasizes the need for continuity in the building and commercialization of valuable innovations. It draws heavily from recent literature and models on entrepreneurial innovation and expects the student, not only to critique these existing literature and models, but to design original technology-driven innovations that could aid organizations gain and sustain competitive advantage. The course is divided into 4 Modules, which takes the student from the formulation of innovative ideas to the building of innovative entrepreneurial firms. These modules will systematically guide the student to conduct a focused literature review on some advanced aspect of the studied material and produce a research paper.

 

 


You may apply online at http://www.HarrisburgU.edu/Apply. If you have not obtained an MS in ISEM from the University, you may wish to get that application by emailing Masters@HarrisburgU.edu. Students can send any questions and completed applications and all supporting documents materials to PHD@HarrisburgU.edu. Applications are not considered complete and are not evaluated unless all documents are present. International students may find answers to non-admissions related questions at http://global.harrisburgu.edu/iso/.