Information Systems (ISAN)

ISAN 1323. Introduction to Microcomputer Applications.

This course develops advanced information technology skills, focusing on office productivity software. Primary emphasis is placed on spreadsheet, database, and presentation software. Advanced techniques are presented for use in data analysis and decision-making. Students will be expected to demonstrate mastery of these techniques in a hands-on environment. ISAN 1323 will not count towards a Pre-Business or Business Degree.

ISAN 1325. Introduction to Microcomputer Applications in Business.

This course develops information technology skills, focusing on office productivity software. Primary emphasis is placed on spreadsheet, database, and presentation software. Techniques are presented for use in data analysis and decision-making. Students will be expected to demonstrate mastery of these techniques in a hands-on environment. ISAN 1325 will only count towards a the Pre-Business curriculum and Business curriculum.

ISAN 3305. Business Programming I.

This course examines application program development, including requirements analysis, design, implementation, and testing. Structured and object-oriented programming concepts are used to develop solutions to business problems using a visual programming language. Students analyze business requirements and apply programming techniques to design and implement functional applications. Prerequisite: ISAN 1325 or ISAN 1323 with a grade of "D" or better and a minimum 2.0 Overall GPA.

ISAN 3317. E-Business.

This course examines e-business concepts, technologies, and organizational applications in digital commerce environments. Students study technology infrastructure including mobile platforms, security protocols, and digital payment systems. Topics include online retail, social networks, digital marketing, business-to-business supply chain management, and collaborative commerce. The course also considers ethical, legal, and political issues associated with e-commerce operations. Students analyze business models, information systems, and strategies used to support electronic transactions and digital business activities across organizational settings. Prerequisite: A minimum 2.0 Overall GPA.

ISAN 3325. Business Programming II.

This course examines advanced application development concepts including user interface design, business logic, and data access within tiered architectures. Students apply object-oriented programming principles to develop applications using a modern development framework. Topics include classes, inheritance, graphical user interface programming, event handling, arrays, tables, and database programming. The course also examines structured data management, application functionality, and techniques for integrating user interfaces with data processing components in business application environments. Prerequisite: ISAN 3305 with a grade of "D" or better and a minimum 2.0 Overall GPA. Corequisite: ISAN 3374 and ISAN 3382 both with grades of "D" or better.

ISAN 3348. Data Communications and Network Architecture.

This course examines concepts of data communications and network design within computer networking environments. Using a systems approach, students study network management, implementation, and security. Topics include the OSI model, TCP/IP architecture, network protocols, wired and wireless local area networks, backbone networks, wide area networks, and enterprise networks. The course also covers Internet architecture, network hardware, network media, network security, and network management strategies. Students analyze and design network solutions for organizational and business communication needs. Prerequisite: A minimum 2.0 Overall GPA.

ISAN 3350. Information Systems Security.

This course examines the concepts of information systems and network availability, integrity, and confidentiality in order to develop effective security controls, processes, practices, and procedures. Topics include methodologies, models, architectures, access control systems, ethics, and legal implications of information technology security. Students examine how security principles are applied within organizational and regulatory contexts to support effective governance of information systems. Prerequisite: A minimum 2.0 Overall GPA.

ISAN 3360. Web Design and Development.

This course examines web design and development concepts used in contemporary web applications. Students develop skills in semantic HTML, CSS layouts, JavaScript programming, multimedia integration, and responsive web design. Topics include website structure, accessibility, mobile-responsive design, user interface development, and web content presentation across multiple devices. The course also covers techniques for integrating external resources, managing page functionality, and developing interactive web pages using current web development frameworks and standards. Prerequisite: A minimum 2.0 Overall GPA. Corequisite: ISAN 3374 with a grade of "D" or better.

ISAN 3374. System Analysis and Design.

This course examines the analysis and design phases of the Systems Development Life Cycle (SDLC). Students study techniques and tools for determining system requirements and developing logical design models using structured and object-oriented methodologies. Topics include requirements analysis, user stories, system architecture, user interface design, data modeling, and project documentation. The course also covers methods for translating organizational requirements into system specifications and design models used in information systems development. Prerequisite: A minimum 2.0 Overall GPA.

ISAN 3380. Enterprise Information Technology and Business Intelligence.

This course examines enterprise information technologies and business intelligence applications used in organizational environments. Students use integrated software applications to access, manage, and analyze business information from multiple sources. Topics include data analytics, database queries, reporting, data visualization, cloud computing, business continuity, cybersecurity, and decision support systems. The course also covers business processes, information quality, and the use of enterprise data in organizational analysis and managerial decision-making using contemporary information technologies. Prerequisite: [ISAN 1325 or ISAN 1323] and [ANLY 2333 or MATH 2328] and [MATH 1329 or MATH 2471] all with grades of "D" or better and a minimum 2.0 Overall GPA.

ISAN 3382. Computer Data Base Systems.

This course examines concepts and methodologies related to database planning, design, development, and implementation in organizational environments. Emphasis is placed on logical database design, relational database structures, and relational database management systems. Topics include relational query languages, Structured Query Language (SQL), advanced JOIN statements, nested subqueries, data manipulation, database views, and Data Definition Language (DDL). Students develop database applications and relational database structures used to support business information systems and organizational data management. Corequisite: ISAN 3305 or ANLY 3341 with a grade of a "D" or better.

ISAN 3389. Programming for Data Processing.

This course examines programming techniques used for processing numerical and textual data from external sources. Topics include sequence and collection structures, object serialization, reporting methods, data acquisition, data cleaning, and integration of multiple data sources. Students develop applications for processing structured and unstructured datasets using object-oriented programming concepts and modern software development techniques. The course also covers methods for analyzing, manipulating, and managing data within information systems and data-processing environments. Prerequisite: ISAN 3305 and [ANLY 2333 or MATH 2328] both with grades of "D" or better and a minimum 2.0 Overall GPA.

ISAN 3390. Agile Project Management.

This course examines project management concepts and practices used in information technology environments, with emphasis on Agile methodologies. Topics include project scope, scheduling, costs, quality, risk management, portfolio management, release planning, procurement, human resources, and international project considerations. Students study Scrum frameworks, backlog management, iterative development, and project management software used to support project planning and implementation. The course also addresses project coordination and organizational processes associated with Agile project management practices. Prerequisite: ISAN 3374 and ISAN 3305 with a grade of "D" or better and a minimum 2.0 Overall GPA.

ISAN 3392. Introduction to Machine Learning.

This course provides a comprehensive overview of foundational concepts, algorithms, and applications of machine learning. Students gain hands-on experience through programming assignments and case studies, exploring real-world applications like natural language processing, computer vision, generative AI, and agentic AI. The course emphasizes both theoretical understanding and practical implementation of machine learning techniques, preparing students to apply these skills across various domains. Prerequisite: [ISAN 3305 or CIS 3305 or CIS 2324} and [ANLY 2333 or QMST 2333 or MATH 2328] with grades of "D" or better and a minimum 2.0 Overall GPA.

ISAN 4325. Legacy Systems: Applications, Development, and Support.

This course examines the development, maintenance, support, and migration of legacy applications within organizational information systems environments. Topics include legacy programming languages, application development processes, testing procedures, troubleshooting methods, and application migration practices. Students study legacy enterprise systems, transactional processing environments, and software support operations using contemporary and legacy computing platforms. The course also addresses application portfolios, system documentation, maintenance strategies, and tools used to support legacy system development and organizational information technology operations. Prerequisite: ISAN 3305 with a grade of "D" or better and a minimum 2.0 Overall GPA.

ISAN 4328. Artificial Intelligence: Development and Application.

This course examines Large Language Models (LLMs), Generative Pre-trained Transformers, and artificial intelligence application development. Topics include transformer architectures, model training, fine-tuning methods, text generation, neural translation, conversational systems, and model deployment practices. The course also addresses bias detection, safety considerations, model interpretability, ethical issues associated with artificial intelligence systems, and evaluation methods used in machine learning applications. Students develop and evaluate AI applications using contemporary machine learning frameworks and programming environments. Prerequisite: ISAN 3305 with a grade of "D" or better and a minimum 2.0 Overall GPA.

ISAN 4332. Enterprise Resource Planning Systems.

This course examines enterprise resource planning (ERP) systems used to integrate business functions through shared organizational databases and information systems. Students study methodologies and tools associated with ERP system selection, implementation, and management. Topics include business process modeling, master data management, procurement, production, accounting, and business intelligence applications. The course also addresses enterprise information management, organizational workflows, and the use of ERP systems to support coordination, reporting, and operational processes within organizational environments. Prerequisite: ISAN 3380 with a grade of "D" or better.

ISAN 4349. Advanced Database Management Systems.

This course introduces advanced cloud-based database concepts and processes to support applications for Business Intelligence. Multi-dimensional modeling along with database, ETL (Extract, Transform, Load) & data pipeline, reporting, and advanced analytic capabilities of a modern database in a cloud-based environment will be used to design and develop objects, scaling, partition, storage optimization & cost management and multi-dimensional information cubes. Prerequisite: ISAN 3382 with a grade of "D" or better. Corequisite: ANLY 3339 with a grade of "D" or better.

ISAN 4350. Ethical Hacking.

This course examines the critical technology and managerial issues related to information security, with a specific emphasis on offensive security methodologies. Students explore the full lifecycle of a cyberattack, including sophisticated attack vectors, information gathering, enumeration, and systematic privilege escalation. It balances these offensive tactics with essential defensive security strategies, such as malware detection, firewall configuration, and incident response. Through hands-on exercises, students develop the technical proficiency required to identify vulnerabilities and implement robust disaster recovery plans, ensuring comprehensive protection for organizational assets in an increasingly hostile digital landscape. Prerequisite: Minimum 2.0 overall GPA and ISAN 3348 with a grade of a "D" or better.

ISAN 4358. Network and Cloud Administration.

This course examines the roles and responsibilities of network and cloud administrators in organizational environments. Topics include network operating systems, cloud service administration, server management, virtualization, and network security. Students analyze administrative practices used to configure, manage, and maintain enterprise network and cloud infrastructures commonly used in modern business organizations. Prerequisite: ISAN 3348 with a grade of "C" or better.

ISAN 4360. Developing AI Solutions for the Enterprise.

This course examines the design, development, and deployment of artificial intelligence solutions in enterprise environments. Students apply AI concepts and development methodologies to integrate models and services within tiered architectures that support organizational business processes. Emphasis is placed on evaluating how AI-enabled systems are implemented to address operational and decision-making needs within enterprise contexts. Prerequisite: ISAN 3374 and ISAN 3382 and [ISAN 3325 or ISAN 3392 or ISAN 4328] with a grade of "D" or better.

ISAN 4373A. Cyber-Warfare: Actors, Techniques, and Impact.

This course examines historical cyber warfare incidents involving nation-state actors with emphasis on offensive techniques and global impacts. Students analyze geopolitical, technical, and organizational factors associated with cyber operations, including network intrusion methods and operational timelines. The course also examines strategic consequences for organizations and international security systems through analysis of documented cyber warfare cases. Students evaluate attribution challenges, state-sponsored cyber conflict, and organizational responses to cybersecurity threats in contemporary global contexts. Prerequisite: A minimum 2.0 Overall GPA.

ISAN 4373D. Artificial Intelligence in Business Operations.

This course examines the application of artificial intelligence in business operations. Students analyze foundational AI concepts, including machine learning, natural language processing, and computer vision, and evaluate their use in areas such as marketing, finance, and operations. Through case studies and applied exercises, students assess how AI technologies support organizational decision-making and operational efficiency within contemporary business environments.

ISAN 4373E. Programming for Information Security.

This course covers advanced programming topics with a focus on information security. Students learn to develop secure software, identify and mitigate vulnerabilities, and apply coding for cybersecurity tasks. Utilizing practical examples and real-world scenarios, learners gain hands-on experience in crafting solutions to protect against cyber threats. Designed for those seeking to blend programming expertise with security best practices, this course equips participants with the skills to address contemporary digital security challenges. Prerequisite: CIS 2324 or CIS 3305 with a grade of "D" or better and a minimum 2.0 Overall GPA.

ISAN 4373F. Agentic Artificial Intelligence Development for Business Applications.

This course introduces the emerging field of agentic artificial intelligence and its applications in business. Students examine how intelligent agents operate within defined objectives, constraints, and human oversight to support organizational goals in areas such as decision support, operations, and customer engagement. The course emphasizes both the opportunities and limitations of developing systems that exhibit goal-directed behavior while remaining governed by business and technical controls. Through case studies and applied projects, students analyze how agentic approaches may influence business practices. This course does not earn graduate degree credit. Prerequisite: ISAN 3374 and ISAN 3382 and [ISAN 3325 or ISAN 3392 or ISAN 4328] all with a grade of "D" or better.

ISAN 4395. Independent Study in Information Systems.

This course provides faculty-supervised study of a selected information systems topic or applied problem. Students conduct independent research or project-based study within the information systems field and apply theoretical concepts to organizational or technical issues. Areas of emphasis vary according to student objectives and faculty approval. The course may be repeated once for credit when a different topic or project area is selected. Students document and present findings related to the approved area of study. Prerequisite: Instructor approval.

ISAN 4399. Information Systems Internship.

This course provides supervised internship experience with an external organization in an information systems-related setting. Students apply academic knowledge to organizational tasks, projects, and operational activities while examining professional practices within workplace environments. The course includes structured reflection connecting internship experiences to information systems concepts, ethical considerations, communication practices, and program learning objectives. Students document and evaluate workplace activities through faculty-guided assignments or reports. Academic credit is awarded on a pass/fail basis according to departmental internship requirements, employer evaluations, and institutional procedures. Prerequisite: Instructor approval.

ISAN 5199B. Thesis.

This course provides ongoing enrollment for graduate students completing a thesis as part of the master’s degree program. Students conduct approved independent research under faculty supervision, complete data collection and analysis, and prepare the written thesis document. Enrollment in this course reflects progress toward completion of the thesis. No thesis credit is awarded until the thesis is completed, approved, and submitted for binding. The course is graded based on a credit (CR), progress (PR), or no credit (F) and may be repeated as necessary.

ISAN 5240. Executive Insights through Advanced Analytics.

This course equips executives with the essential tools and concepts in business analytics to make data-driven decisions. Focused on practical applications, it covers descriptive, predictive, and prescriptive analytics, and application to managerial cost and revenue management. Through hands-on learning, case studies, and real-world examples, participants will gain the skills to interpret data, apply analytics models, and integrate AI into strategic decision-making.

ISAN 5299B. Thesis.

This course provides ongoing enrollment for graduate students completing a thesis as part of the master’s degree program. Students conduct approved independent research under faculty supervision, complete data collection and analysis, and prepare the written thesis document. Enrollment in this course reflects progress toward completion of the thesis. No thesis credit is awarded until the thesis is completed, approved, and submitted for binding. The course is graded based on a credit (CR), progress (PR), or no credit (F) and may be repeated as necessary.

ISAN 5318. Artificial Intelligence in Digital Economy.

This course provides an understanding of the issues in managing organizations' artificial intelligence (AI) and information assets. The course examines users' issues and challenges within the Information Technology management arena as part of a firm's business and AI strategy. The course provides frameworks and management principles that current or aspiring managers can employ with the challenges of implementing rapidly advancing AI technology. Through real-world case studies, students are empowered to effectively leverage AI to drive innovation, enhance decision-making, and automate business operations. Prerequisite: B A 5351 with a grade of "C" or better.

ISAN 5355. Database Management Systems.

This course explores the concepts, principles, issues, and techniques for managing data resources using database management systems. Topics include techniques for analysis, design, and development of database systems, creating and using logical data models, database query languages, and procedures for evaluating management software. Students will develop a management information system.

ISAN 5357. Computing for Data Analytics.

This course introduces programming for data analytics using the Python language. Students develop programs to manage data structures, perform data manipulation and cleaning tasks, and implement foundational software development techniques. The course examines methods for transforming raw datasets into structured information suitable for analysis, visualization, and reporting. Topics include variables, control structures, functions, file processing, and the use of programming libraries relevant to data analytics. Through hands-on exercises, students apply programming concepts to data-oriented and business-related problems.

ISAN 5358. Agile Project Management For Business Professionals.

This course provides an in-depth study of the project management body of knowledge as applied to Information Technology, emphasizing Agile methodologies and the processes of managing scope, costs, schedules, quality, and risks. Topics Include program management, system planning and design methodologies, material & capacity requirements, human, cultural, & international issues, and their impact on the organization.

ISAN 5364. Data Warehousing.

This course examines current and emerging data warehousing technologies and their use in organizational information systems. Students explore the data warehouse development life cycle and compare transactional systems with informational architectures. Topics include dimensional modeling, schema design, data integration, data quality, query performance, and cloud-based storage platforms. Through hands-on activities, students design and implement data warehouse structures, execute analytical queries, and create data visualizations for organizational and business contexts. The course also examines the role of data warehouses in reporting, business intelligence, and decision-support processes. Prerequisite: ISAN 5355 with a grade of "C" or better.

ISAN 5365. Developing Generative AI Solutions for Business and Innovation.

This course equips students with the skills and knowledge to develop advanced generative AI applications. Key topics include deploying large language models on cloud-based platforms, exploring natural language processing (NLP) techniques, and mastering prompt engineering to generate both text and code. Through hands-on projects, students integrate application programming interfaces (APIs) and implement solutions such as Retrieval Augmented Generation (RAG) to create scalable AI systems that address real-world challenges. Prerequisite: ISAN 5357 and ANLY 5336 both with grades of "C" or better.

ISAN 5367. Machine Learning.

This course examines machine learning methods used for analysis of large and complex datasets. Students apply statistical and computational techniques including regression, classification, clustering, neural networks, and ensemble methods. Topics include text processing, recommendation systems, model evaluation, feature selection, and distributed computing frameworks for large-scale data analysis. Students also develop machine learning pipelines for data preparation, model implementation, validation, and performance assessment within organizational and analytical contexts. The course includes supervised and unsupervised learning approaches used in contemporary data analytics applications. Prerequisite: ISAN 5357 and ANLY 5336 both with grades of "C" or better.

ISAN 5368. Information Security.

This course examines the analysis, design, implementation, and management of information security systems within organizational communication networks. Topics include risk management frameworks, cryptographic principles, physical and hardware security, and legal, ethical, and professional considerations affecting information security practice. Students analyze security architectures and governance approaches used to protect information assets and manage security risks in organizational environments.

ISAN 5369. Independent Study in Information Systems.

This course provides an opportunity for faculty-supervised independent study in a selected area of information systems. Students pursue in-depth research or applied project work focused on specialized topics of interest and develop information systems approaches for organizational or technical contexts. Emphasis is placed on independent inquiry, methodological rigor, and critical evaluation of results. The course may be completed individually or in small teams and may be repeated with departmental approval when the topic or information systems focus differs. Prerequisite: Instructor approval.

ISAN 5390A. Introduction to Design Thinking.

This course introduces design thinking as a human-centered approach to problem solving that emphasizes creativity, empathy, and iteration. Students explore key design thinking tools and methods used to address complex challenges in business and organizational contexts. Through hands-on exercises and case studies, students learn to identify user needs, generate ideas, prototype solutions, and test improvements while developing collaborative, interdisciplinary, and iterative approaches to innovation in products, services, and organizations.

ISAN 5390B. Business Data Visualization for Decision Making.

This course examines methods and technologies used to communicate data through visual formats in organizational contexts. Students analyze chart selection, dashboard design, visual encoding, and data presentation techniques used in business and analytical environments. Topics include design principles, preattentive attributes, color theory, visual exploration, and interactive dashboard development using contemporary software tools. Students also evaluate visualization effectiveness, data interpretation issues, and communication practices associated with quantitative information and decision-support processes.

ISAN 5395. Internship in Information Systems.

This course provides supervised experiential learning through an approved internship in information systems. Students apply information systems concepts, tools, and techniques in professional settings while examining relationships between academic study and workplace practices. Emphasis is placed on integration of professional experience with information systems methods, documentation, communication, and reflective analysis of workplace activities. The internship is completed with an external organization under faculty supervision according to departmental internship requirements and evaluation procedures. Prerequisite: Instructor approval.

ISAN 5399A. Thesis.

This course represents a graduate student’s initial enrollment in the master’s thesis. Students begin formal thesis work under the supervision of a faculty thesis committee by identifying a research topic, reviewing relevant scholarly literature, and developing an approved research proposal. The course establishes the foundation for subsequent thesis research and writing in Information Systems. No thesis credit is awarded until the thesis is completed, approved, and submitted for binding. The course is graded on a credit (CR), progress (PR), or no credit (F) basis.

ISAN 5399B. Thesis.

This course represents a student’s continued enrollment in the master’s thesis. Students remain enrolled while conducting approved independent research under the supervision of a faculty thesis committee. Activities include evaluating research quality, completing analysis, preparing the written thesis document, and revising work based on committee feedback. Enrollment in this course reflects progress toward completion of the thesis. No thesis credit is awarded until the thesis is completed, approved, and submitted for binding. The course is graded on a credit (CR), progress (PR), or no credit (F) basis and may be repeated as necessary.

ISAN 5599B. Thesis.

This course represents a student’s continued enrollment in the master’s thesis. Students remain enrolled while conducting approved independent research under the supervision of a faculty thesis committee. Activities include evaluating research quality, completing analysis, preparing the written thesis document, and revising work based on committee feedback. Enrollment in this course reflects progress toward completion of the thesis. No thesis credit is awarded until the thesis is completed, approved, and submitted for binding. The course is graded on a credit (CR), progress (PR), or no credit (F) basis and may be repeated as necessary.

ISAN 5999B. Thesis.

This course represents a student’s continued enrollment in the master’s thesis. Students remain enrolled while conducting approved independent research under the supervision of a faculty thesis committee. Activities include evaluating research quality, completing analysis, preparing the written thesis document, and revising work based on committee feedback. Enrollment in this course reflects progress toward completion of the thesis. No thesis credit is awarded until the thesis is completed, approved, and submitted for binding. The course is graded on a credit (CR), progress (PR), or no credit (F) basis and may be repeated as necessary.

ISAN 7355. Database Management Systems.

This course examines concepts, principles, and techniques used in database management systems for organizational data management. Students analyze methodologies for database analysis, design, and development, including conceptual and relational data modeling. Topics include normalization, database query languages, SQL, database implementation, indexing, and evaluation of database management software. Through applied exercises, students design and implement database structures and management information system components used in organizational and research contexts. The course also examines methods for maintaining data integrity, organizing data resources, and supporting information retrieval within database environments.