56 courses with the subject IS, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
Total Credits 30-44 Those who are waived from MBA 810 Business Analytics and Statistics must select two electives. Students who have not yet completed U.S. courses in taxation/law must take foundation enhancement courses.
Independent study projects in special areas of Information Systems can be pursued by advanced students who upon the submission of a detailed proposal, obtain permission of the instructor. No more than 6 credits of Independent Study may be taken.
Capstone
Survey of the types of artificial intelligence that exist. Algorithmic versus heuristic programming; search trees, search algorithms, information retrieval, robotics and expert systems. State-of-the-art and future trends of these and other forms of artificial intelligence will be explored.
This course brings to life the latest business research on critical business challenges in which information systems plays a part. Insight on innovation, IS management and new market entries are introduced through case studies. IS in Organizational Strategy takes the perspective of the IS manager at the product line, business unit, and corporate levels. The course not only examines each of these levels in some detail, but also addresses the interaction between the different levels of IS management- for example, the fit between product strategy and business unit strategy in the context of information systems, and the link between business and corporate level strategy from a technological viewpoint.
Total Credits 42 Students in all tracks, in consultation with department faculty advisor, choose three of the following courses or courses from another MPA track.
Telecommunications Management Concentration Code Title Credits Select three of the following: 9
In User Experience, the foundation is research and is a required skill. Without understanding the user's behavior, patterns and pain points, authentic User Experiences cannot be created. Students can expect a comprehensive guide to performing the core research methods; Surveys, Interviews and Usability testing. This course will help prepare students for a future career in User Experience by giving the student a basic knowledge of the "Discovery" phase of any research that is associated with any user, application or product.
This course provides students with the ability to implement a user interface including the development of a design kit and a component kit. Students will learn how to write an interactive application using frameworks. Students will also learn how to implement responsive design and design for accessibility, by applying current trend in user interface design and development.
This course explores the role of prototyping in the development lifecycle of software systems. It enables students to develop and communicate interactive design prototypes. It introduces a variety of prototyping methodologies such as paper, wireframing, and wizard-of-oz. Students will learn which techniques are the most appropriate to use in the various stages of development and when communicating with the varied audiences involved in the development process.
or IS 656 Networks: Routing & Switching
Capstone
This course introduces students to User Experience, the practice of designing apps and websites while applying user centric methods. This course touches on the entire process from analyzing user needs, iterating the design, presenting and selling a comprehensive solution to creating wireframes that become the blueprint for developers to follow when coding. Who could benefit from this course: If a student is an Information Systems Major, they will be thinking / designing system requirements and will be helping design the systems. If a student is a Computer Science Major then they will be on the receiving end of the design process and being asked to code what has been designed. It’s important for students to have the ability to understand, assess, design and convey good design. Students will explore basic concepts and methods to design an application while taking into consideration the needs of the user.
Electives Area II: Leadership Development
Required Specialization Courses (37 credits)
The United States government requires all federal systems to have a customized security plan. In addition, the National Training Standard for Information Systems Security (INFOSEC) Professionals requires programs that meet his standard to produce students capable of developing a security plan; this course provides an introduction to security planning as recommended by NIST guidelines on developing security plans. The student is required to conduct a case study where a security plan is developed for a fictitious or real small size organization. The purpose of this course is to provide an overview of the security requirements on existing computing environment and describe the controls in place or planned for meeting those requirements. The security plan presents all managerial, operational, and technical controls and organization will need in the next three years. The purpose, scope, and content of a security plan are covered in the first week of lecture. Several outlines for a security plan are shown from the following sources: OMB Circular A-130 (2), NIST Special Publication 800-18 (1), and Director of Central Intelligence (DCID) 6/3.
This course provides an introduction to security auditing based on the ISO 27000 family of standards. In addition to risk management, the course also resents both nominal security audit based on ISO 27002 and technical security audit based on ISO 27001. Each student is required to conduct a case study where he/she performs security audit for a fictitious or real small-size organization. Security Audit program contains about a dozen security areas of audit focus that are performed but either an external auditor or internal auditor who aims at validating the compliance of the Information Technology and the enterprise to the ISO 27000 Series, Sarbanes-Oxley, HIPAA, and PCI-DSS. Here are the main security audit objectives found in most security audit projects: Corporate Security Management, Systems Development and Maintenance, Information Access Control Management, Compliance Management, Human Resource Security Management, Information Security Incident Management, Communications and Operations Management, Organizational Asset Management, Physical and Environmental Security Management, Security Policy Management and Disaster Recovery Plan and Business Continuity.
Elective Course 3 Total Credits 12
This course will introduce the student to the legal environment of business with primary focus on legal issues affecting information systems. Among the topics to be covered are: an introduction to the American legal system; jurisdiction; constitutional law; the law of crimes such as pertaining to destruction of data and unlawful appropriation; computer torts including defamation and invasion of privacy; securities, antitrust and taxation issues and intellectual property issues relating to computer and Internet technology.
Health Information Systems Concentration Code Title Credits
This course expands the business dimensions of Analytical, Collaborative and Operational Customer Relationship Management (CRM) with in-depth exposure to marketing, sales and service software. Technologies of PeopleSoft Inc. are demonstrated throughout the course. A student may register for this course more than once with permission of the Chair. Restrictions/Requirements: Instructor permission is required for registration.
This course is an introduction to database programming. Concepts and techniques of data definition and data manipulation using SQL will be stressed. Students will design and implement a database in a relational database environment. Topics covered include creating database structure, populating the database, maintaining data, retrieving data, administering the database and optimizing queries.
or MAR 649 Digital Marketing or MAR 675 Strategic Marketing Planning or MAR 680X Data Mining Using SAS
This course applies theoretical and applied aspects of database design to web-based applications. This course will review the basics of database technology, cover different development platforms, and develop projects that connect client-side interfaces to server-side databases.
This course provides an introduction to the analysis and design of geographic information systems. These are systems for which the data and solutions are location based. GIS systems are used in a variety of disciplines and applications including geoscience, environmental science, government, land management, non-profits, and business. Students will learn how to create comprehensive GIS systems in a range of application areas. Solutions to problems will be done in ESRI’s ArcGIS Desktop Software.
Business Intelligence Concentration Code Title Credits
This introductory course offers a multidisciplinary overview of innovation and technology in healthcare delivery and industry. Students will develop foundational knowledge of how different stakeholders and industries are operating and engaging with one another in this rapidly growing sector, as well as learning to identify and capitalize on diverse and growing business and career opportunities. This fusion of business, technology, and healthcare gives rise to new concepts, products, services and care delivery models. Students will explore these innovations, including but not limited to: telemedicine; telehealth; consumer electronics centered on self-managed care and wellness; electronic health records; and medical devices. Pioneering and key industry players will also feature in this analysis, with a focus on the telecommunications industry’s expansion into health technology and care delivery sectors. In addition to examination of these business, technical and strategic developments and issues, this course will assess related legal, regulatory, and public policy concerns. In particular, students will be introduced to patient data privacy and security issues and the relevant regulatory authorities that shape these considerations. To ensure successful application and understanding of the course concepts, students will engage in hands-on group projects on innovative development and deployment of health IT and care delivery models or products. This will enable students to have a grounding of the healthcare innovation process, from end to end, and to identify and overcome the myriad of operational, technical and legal issues surrounding this process.
Security and Information Assurance Concentration Code Title Credits Select three of the following: 9
This course introduces students to the technologies that enable customer relationship management processes in 21st century leading edge firms. Technologies include operational sales, customer service and marketing analytic systems, collaborative knowledge management, Web and wireless tools, and analytical data warehousing and intelligent mining personalization and privacy systems. Course concludes with surveys of best-of-class customer relationship management technology firms and technologies.
*Students can take up to 2 non-IS graduate-level Seidenberg or Lubin MBA Foundation cou Advisor or Department Chair. Total Credits: 30 Pace University 2022-2023 Graduate Catalog 213
Geographic information systems are have become a necessary tool in decision making, visualization, and spatial analytics across a variety of disciplines and application domains. This course explores emerging cloud based GIS technology, location analytics, and web-based GIS solutions. Through hands on projects, students will used web-based data, build web GIS applications, use cloud-based services for location analytics, mobile applications and field collection applications.
Code Title Credits Total Program Credits 30
This course provides an understanding of the current application of data mining practices. The course distinctly focuses on the “real -world” orientation and emphasizes algorithm selection, implementation, and evaluation in various contexts. Topics will cover the theoretical foundations of machine learning algorithms and how to implement them by modifying readily available libraries for specific needs and how to craft their own scripts
The class covers the foundational principles and practices of Data Engineering for AI and techniques to improve datasets for better performance in practical machine learning applications. The course balances the general principles with hands-on experiences in working with modern data stacks and supervised learning algorithms. Sections will cover data pipelines to ingest, organize, store, and transform data to deliver value to organizations, and processes and algorithms to find and fix common issues in training datasets.
Web mining aims to retrieve useful Information and gather knowledge from various sources such as web hyperlink structure, page contents, and user logs. Those information and knowledges i.e. behavior patterns, leads to business decision making in e-commerce, business analytics, and other web services with mass participations. The course will cover application of data mining techniques in analyzing web usage data which Is usually either unstructured, partially structured, textual data residing In central or distributed repositories. Topics covered include web structure, indexing and ranking, crawling, and filtering algorithms. We will also cover association rule, clustering, tracking and monitoring of web usage pattern.
The innovation brought by Artificial Intelligence (AI) is set to change our society and our lives as never before. AI is already transforming a number of domains such as education, finance, transportation, defense, energy, and healthcare introducing extraordinary new opportunities but also fundamental questions about the ethical implications of the use of AI and the type of society we want to live in. In order to be ready for this new world, we need to ensure everyone is meaningfully included in the debate."("Artificial Intelligence: Ethics – Risks – Opportunities," p. 7.) This course will provide students with the opportunity to explore the many interesting and challenging ethical issues that are being created by artificial intelligence. Students will have a chance to discuss these issues, to become familiar with current research about these issues, to do original research about these issues, and to interview others about these issues.
The course offers a comprehensive exploration of the capabilities and challenges of AI implementations, with a focus on strategies for designing and training efficient neural network architectures. Students will engage with the theoretical foundations of neural networks to understand their strengths and limitations, while also applying advanced frameworks such as Keras and TensorFlow to build and train models. Emphasis is placed on implementing state-of-the-art neural network architectures in complex, real-world contexts, requiring both critical analysis and technical proficiency.
This course provides an introduction to how systems support social interaction and collaboration, and how social behaviors are shaped by technologies. The course is interdisciplinary, drawing from the fields of computer science, information systems, psychology, cognitive science, and sociology. It covers a variety of social and collaborative computing environments and platforms such as collaboration tools, crowdwork platforms, social media, and various online communities. Students will have a chance to get experience with social data analyses and focus on design and evaluation of a social computing system as their final project for the course.
This course is designed to provide graduate students with a comprehensive understanding of location analytics and GIS tools and techniques for research applications. The course will review the fundamentals of GIS and spatial analysis, as well as advanced techniques for location-based data analysis, including data visualization, and spatial modeling. Through a combination of lectures and readings students will develop the skills necessary to apply GIS and location analytics to a wide range of research questions. The course capstone will be a paper suitable for publication or presentation at a conference.
his course provides a foundation in the design, implementation, and ethical dimensions of Human-AI interaction (HAII), tracing the historical evolution of AI technologies and their intersection with human-computer interaction (HCI). Students will learn the main aims and approaches of HAII to creating AI systems that are user-friendly, trustworthy, ethical, and beneficial for humans, as well as the technological aspects of AI-powered systems and ethical considerations. Research examples, class exercises, and hands-on projects will help to illustrate and reinforce course objectives. A comprehensive understanding of HAII gained in this course will also prepare students to navigate its complexities and contribute to ethical, innovative AI integration in various domains.
In the digital age, information is an every growing factor, understanding how to organize it based on user mental models and behavior is more imperative than ever. This course will help prepare students for a future career by giving the student a basic knowledge of Information Architecture. The course explores: The definition of Information Architecture Information needs and seeking behavior Organizational models and structure of information Navigation defined, as well as its anatomy Research (Card Sorting) When and how to use search Students will explore basic concerns and methods to design an appropriate information structure/navigation while taking into consideration the needs of the user.
This is a graduate-level course that delves into the rapidly evolving world of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR). By blending theoretical understanding with hands-on projects, students will explore the core principles, challenges, and opportunities of designing immersive experiences for various industries. Covering topics such as interaction design, immersive storytelling, accessibility, and prototyping, this course equips students with the essential skills and knowledge to create innovative AR/VR/MR applications and shape the future of this cutting-edge field.
This course provides a comprehensive exploration of digital transformation in the modern business landscape. The course covers a wide range of topics including the concept and impact of digital transformation, emerging technologies, digital business models, customer experience, digitization of operations, SaaS, IaaS, PaaS, consulting strategies, CRM and ERP frameworks, and strategic planning. The course culminates with students developing and presenting their own digital transformation plans. This course is designed to equip students with the knowledge and skills necessary to navigate and lead in the "digitally transformed business world.” 11. Each week will include one “laboratory” type exercise utilizing the CRM environment. Each week, students will review a basic administrator concept and then set up that function in the CRM environment with the idea of how to set up basic functionality, security, users, and roles.
This course confronts the student with major contemporary debates and key issues of information systems and information technology, and provides a framework within which to develop a research project effort. This seminar discusses current methods used in information systems research, including quantitative, qualitative and conceptual approaches. The student will learn how to define a research issue, how to select an appropriate research method, and how to design a research plan. Each student will select a project area, and search the literature (formal and informal) for relevant material. These materials will be shared with the seminar class, and interactive peer discussion and critiques will assist each student in the development of a project report. Each student will prepare a research paper with a literature review, appropriate bibliography, definition of a research question, a research design and an analysis of expected results. Students will be evaluated and graded based upon class presentations, interim project work and the delivery of a final written project report and oral presentation to the seminar. Restrictions/Requirements: 24 credits of 600 level Information Systems courses. This course replaces IS 695Q.
Source: Pace University's catalog, linked per course · table learning_unit · CourseShelf publish 61
