Information Systems (IS)

This is an online course that introduces students to the features of Microsoft Excel and prepares them for the Microsoft Office Specialist (MOS) Excel 2016 Certification exam. This is a hands-on course that covers the fundamentals of good spreadsheet design and management. Topics include: Creating and saving an Excel workbook; learning concepts, terms and jargon; brushing up on math skills; entering labels, formulas, and functions; printing worksheets and workbooks; creating and using charts; creating and using Excel tables; creating and using PivotTables and macros; and using the decision making strength of Excel.

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.

This course provides an introduction to programming with Python, and shows how to use Python to retrieve and visualize data. No prior programming experience is assumed. Topics include data structures in Python, control flow statements such as if-then-else and for loops, functions, accessing data from the web and from databases, and visualizing data.

This course focuses on the theoretical and practical aspects of file and database management systems. Topics include data models hierarchical, network, relational; data structures, storage structures, storage devices and their relation to data access; importance of data as an organizational resource; data management, sharing availability, security, integrity and consistency; data independence and conceptual data models. Examples of database applications and software packages are selected.

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 examines managerial information requirements for operation, control, organization and planning, and the ways in which information systems are used to achieve these organizational objectives. Topics include general systems concepts and the systems approach to organization; role of computer technology in information systems design; economics of information; importance of data as a major organizational resource; information resource management; overview of information systems components: software, hardware, people, data flows and functional subsystems and their relation to the whole system. Examples are selected from such major subsystems as corporate planning, marketing, manufacturing, accounting, finance and personnel.

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.

This course provides an introduction to Systems Analysis and Design. Topics include analyzing the business case, requirements modeling, data and process modeling, and development strategies, with a focus on project management. Students also learn about output and user interface design, data storage design, systems architecture, implementation, and systems operation, support, and security.

This course is designed to give students an understanding the principles and theory of graphic design as it applies to technology. When completed, students will be able to brand and flavor websites and applications. Students will explore the meaning of graphic design, how to identify its application, develop their own creative process, how to be a practioner of design including having the appropriate vocabulary, to articulate ideas and comcepts in a critique setting, analyze/critique graphic design using sound principles and iterate upon original work to bring it professional standards

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.

The study of all forms of electronic communication in organizations today. Course topics include data communications hardware and media, protocols and standards, local area and wide area networking, network management, telecommunications software and application design.

This course combines project management methods and structured systems development techniques and applies them to the complex world of information systems development. Change management is a complicated and crucial aspect of information systems implementation, and will also be addressed by this course. The central project management functions-planning, organizing and controlling-are presented in the context of the systems development process. Topics include project planning, estimating, testing, implementation, documentation, management of change, utilization of services consultants, software houses, turn-key systems and proprietary software packages.

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.

This course focuses on the relationship of the information systems plans and strategies to those of the organization. Topics include: IS perspectives, planning and control, application development and maintenance, systems management and control, IS strategy, computer center administration, social and legal considerations, telecommunications directions, and the information center.

Overview of security and privacy issues associated with information systems, security management goals, prevention, recovery, avoidance, security policy, data integrity, operational controls, risk management, and risk avoidance. Identification and authorization techniques, passwords, authorization matrix, access controls, encryption, key systems, Data Encryption Standards (DES), key management, public keys, statistical databases and computer crime.

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.

Recent events in this world have increased the need for organizations to develop strategies for mitigating, preparing for, responding to, and recovering from small and large scale emergencies. In the context of a highly integrated global economy, nearly every business is likely to feel the effects of emergencies around the world, and in the face of intense competition, it is crucial that all businesses have a plan for continuing operations before, during, and after emergencies of all types. This course presents an introduction to business continuity and disaster recovery planning. It includes a comprehensive advanced business continuity planning and management workshop which is designed to teach practical methods to develop, test, and maintain a business continuity plan. In addition to the BS 25999 business continuity standard, this course is based on industry best practices and guidelines for business continuity, disaster recovery, and emergency management.

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.

Principles of managerial accounting, financial analysis and project management are introduced and applied to the planning, implementation and operation of telecommunications systems.

The principles of organizational policy are introduced along with a review of the history and trends of the regulatory environment, technology and structure of the telecommunications industry. These are applied to the formulation of strategy in the planning of major telecommunications systems.

s: A capstone course in which knowledge of the technologies of telecommunications, software tools for analysis and design of networks and management principles are brought together. This integration is accomplished through the use of student analysis and presentations concerning a number of detailed cases in planning and implementation of telecommunications systems to meet the operational and strategic goals of the organization.

This course develops foundational understanding of networking fundamentals and advanced concepts with hands-on practice and simulations to develop student’s skills with real-world application of modern telecommunication problems plaguing today’s corporations. The Introduction to Networks component of this course provides a comprehensive overview of networking; from fundamentals to advanced applications and services. This course emphasizes theoretical concepts and practical application, while providing opportunities for students to gain the skills and hands-on experience needed to design, install, operate, and maintain networks in small-to-medium businesses, as well as enterprise and service provider environments. The Routing and Switching component of the course describes the architecture, components, and operations of routers and switches in simple networks. Students learn how to configure and troubleshoot routers and switches for basic functionality.

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.

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.

Data and analytics are changing the world and the way we are making decisions, thanks to the enormous and increasing amount of data available to us. Behind this vast amount of data lies the greatest potential to understand reality and predict future events. As this potential is being realized, more organizations are investing substantial amount of money in this discipline that is collectively known as Big Data. Yet, we are facing several challenges, both technological and organizational. From a technology perspective, we see an increasing need of collecting more data from sources both internal and external. This is widening the analytical gap within the organization due to the inability to properly address the volume, variety and velocity of the data. Moreover, organizations are struggling to streamline their advanced analytical capabilities and unable to efficiently respond to the needs of the business of making better decisions faster by converting data into insight. This course will explore the multifaceted reality of Big Data and students will not only learn the underlying principles of data analytics, but also the organizational challenges that Big Data poses to an Enterprise. The objective of this course is to introduce students to Data Science approaches to mine large amounts of information, the necessary tools, and learn from real use cases what is necessary for a company to create Big Data Centers of Excellence in order to successfully turn data analysis into competitive advantage. Additionally, students will also learn about using Hadoop, MapReduce to process and analyze large datasets, and data mining algorithms used for classification, estimation, and prediction purposes.

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.

This introductory course offers a multidisciplinary overview of the emerging technologies used in Digital Health Industry. Digital Health is the provision of health information and services via Smart phones and tablets. Innovations in this area promise broader access to affordable and effective health care by enabling consumers to take charge of their health and well being. Undergraduate Juniors/Seniors and Graduate students with IT, Business, Health Sciences or Public Admiration background may be interested in this course. Students will develop foundational knowledge of how different stakeholders and industries are operating and engaging with one another in this rapidly growing healthcare technology sector, as well as learning to identify and capitalize on diverse and growing business and career opportunities. Restrictions/Requirements: Minimum level of computer technology knowledge required.

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.

This course will explore the technical foundations of social and mobile technologies, and consider their impact on digital marketing, as well as other business contexts. The potential for social and mobile technology to serve as a new profit center for firms will be explored. Student assignments will involve the hands on use and application of social and mobile technologies. Students will also learn how to create a simple mobile application for the iPhone, Android, or other relevant platforms. The final group project will consist of a social/mobile application to support a business or organizational objective.

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.

The purpose of this course is to present major research and theories in the cognitive sciences and emerging technologies across diverse domains. Emphasis is placed on the interrelationships of cognition and technology and the role of cognition in the design and use of technology in real world settings. We address questions of importance for our increasingly technological society: How does technology augment human cognition? How our minds shape technology? The course is designed to (a) familiarize students with different cognitive science theories, (b) enable students to apply cognitive sciences theories in the design of technology, and (c) equip students with the knowledge to conduct research in this interdisciplinary domain.

This course provides a foundation for computational approaches to basic concepts of data science. This course aims to introduce students to data science by focusing on a distinctly “real-world” orientation that emphasizes the application of computational analysis and visualization. Topics cover understanding how to approach data analysis tasks, the underlying statistical theories, and how to work with readily available toolsets for specific needs.

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.

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.