Pennsylvania State University-Penn State Erie-Behrend College · Courses
ETI
24 courses with the subject ETI, 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.
ETI 100Introduction to Enterprise Technology Integration3
ETI 100 explores the essential relationship between IT and business, introducing students to core concepts that enable IT to support and enhance business operations. Artificial intelligence (AI) concepts are studied and applied as they apply to key course topics. Students study data management to understand how organizations leverage data as a valuable business asset, automate processes, and drive decision- making. The course covers cloud computing, enterprise systems, and AI- driven analytics, emphasizing their role in modern business strategies. Additionally, students will explore systems integration, learning how IT ecosystems leverage APIs and AI-driven automation to improve efficiency and scalability. Project management principles will be introduced, focusing on IT initiatives that integrate AI and digital transformation. Communication and teamwork skills will be developed, ensuring students can collaborate effectively across business and IT functions. By the end of the course, students will understand how IT and AI work together to Undergraduate - The Pennsylvania State University 2026-2027 4139 optimize business operations, enhance decision-making, and support long-term strategic goals.
ETI 200 is the second course in the Enterprise AI sequence, focused on designing and planning AI-powered solutions within an enterprise environment. Building on the foundational concepts from ETI 100, students work in teams to define enterprise problems, conduct user and stakeholder analysis, and design functional AI prototypes. The course emphasizes problem analysis, AI use case design, and enterprise s architecture, introducing concepts like data pipelines and responsible AI. ETI 200 lays essential groundwork for ETI 400: Delivering AI for the Enterprise. Emphasis is placed on enterprise architecture alignment, ethical AI design, and building a compelling business case for prototype adoption. Enforced Prerequisite at Enrollment: C or better in ETI 100
/Maximum of 18 Creative projects, including research and design, that are supervised on an individual basis and that fall outside the scope of formal courses.
ETI 300WDevelopment and Documentation of Enterprise Web3
Organizations utilizing enterprise stack platforms leverage several core components in order to be successful in implementations across system boundaries. Students will draw upon their prior experience in databases, networks, and programming to understand how cloud-based infrastructure solutions are built, the possible choices an analyst will have, and the written communication needed in order to convey these
Overview of organizational structures and functions. Includes information processing and analytic perspectives of organizations. ETI 301 Information and Organizations (3) This course provides students the opportunity to learn and experience: 1. Applicable organization and the ways in which IT can alter and enable these activities. 2. A series of analytic techniques that students can use to investigate the effects of new IT on work and organization. 3. Examples and problems set in and drawn from a range of domains including military, medical, high technology, business and government.This course is designed around a series of ill-structured, contemporary problems that require students to develop responses by applying analytic techniques and theories of work and organization. At the end of the course, students will be able to: 1. Apply theories of work and organization as analytic techniques. 2. Conduct organizational and inter-organizational process analyses. 3. Map information flows among organizational units and actors. Enforced Prerequisite at Enrollment: IST 210 and IST 220
Exploration and application of the basic concepts, methodologies, and tools of project management in the field of information sciences and technology. ETI 302 IT Project Management (3) This course is designed to introduce and explore the basic concepts and practices of project management and help students understand how to plan and manage IT projects successfully. Throughout the course, students will be asked to utilize course concepts, methodologies, and tools while utilizing technology applications and addressing real-world problems. Students will learn the skills necessary to define project scope, create workable project plans, and manage projects with quality, budget, and schedule in mind. The course is structured around the key phases of project lifecycle, including initiating a project, developing project plans, executing and managing a project, and closing out a project. In addition, students will b taught how to identify and address the change management and political issues associated with project management. Enforced Prerequisite at Enrollment: IST 210 and IST 220
ETI 400 is the final course in the Enterprise AI sequence. Students will work in teams to refine, deliver, and present enterprise-ready AI solutions. Through structured faculty and peer feedback, industry-inspired client briefs, and scaffolded coaching, students will advance their prototypes into mature, enterprise-context solutions. Emphasis is placed on integration with enterprise systems, compliance and risk considerations, scalability, and executive-level communication. The course culminates in a formal presentation and submission of a portfolio-ready deliverable. Enforced Prerequisite at Enrollment: C or better in ETI 200
Theoretical foundations and practice of enterprise architecture. ETI 422 Enterprise Architecture Foundations (3) Enterprise Architecture is the overall framework and set of strategic objectives for the usage of technology over time across an organization. Enterprise Architecture can also be described as the top-down, strategy-driven, integrating framework that brings together and manages the business model, applications and technology. Its primary goal is to facilitate improvement and deliver business-aligned information systems. This course presents the key components and processes involved in the effective creation and governance of enterprise architectures. Students will acquire knowledge about the key foundational aspects of enterprise architecture, learn what decisions need to be made and how to make them, and be able to explain and justify their recommendations. Enforced Prerequisite at Enrollment: IST 301 or ETI 301
ETI 423Enterprise Information Management and Storage Architecture3
Provide in-depth study of the concepts, issues, and technologies associated with the complex world of enterprise information and storage architecture. ETI 423 Enterprise Information Management and Storage Architecture (3) This course is designed to introduce students to enterprise information storage and management concepts, issues, trends, and technologies. As an upper-division course, the focus will center on applying design concepts and associated technologies to real-world problems in the area of enterprise information storage and management . Existing partnerships with leading information management firms will be leveraged to provide real-world exposure to the complex enterprise information storage and management issues facing all organizations today. This course also focuses increasingly on the critical areas of information security and the emerging field of information storage virtualization. The course will mix technical details, applied value, and organizational insights of enterprise information storage and management through the use of labs, case studies, real-life problems, and team projects. This is a unique course that has generated great industry interest. Enforced Prerequisite at Enrollment: IST 301 or ETI 301
Theoretical foundations and practice of enterprise modeling. ETI 424 Architectural Modeling of Organizations (3) Enterprise Architecture is the overall framework and set of strategic objectives for the usage of technology over time across an organization. Enterprise Architecture can also be described as the top-down, strategy-driven, integrating framework that brings together and manages the organization model, applications and technology. Its primary goal is to facilitate improvement and deliver organization-aligned information systems. Effective modeling is crucial for successful EA. This course provides an exposure to the foundational concepts and practices of effective enterprise modeling for EA. Students will acquire knowledge about the key foundational knowledge in modeling different layers of the enterprise, learn what decisions need to be made and how to make them, and be able to explain and justify their models and recommendations. This course explores the use and effectiveness of architectural modeling to describe an organization and to integrate Undergraduate - The Pennsylvania State University 2026-2027 4141 and manage IT resources strategically from an enterprise perspective. Hands-on exercises and cases studies are used to illustrate the role and effect of enterprise architecture concepts and methodologies. Emphasis is placed on understanding different architectural approaches, standards, and styles. Students will use enterprise architectural tools to develop descriptive models and understand how to integrate and manage IT within and between organizations. For each general topic area, core readings are used to define standard vocabulary, concepts and relations, methods and criteria for evaluation, and implications for enterprise architecture. Students participate in class discussions as well as complete written assignments that focus on solidifying the understanding of the course content. Students also complete a team modeling project that is motivated by, and whose outcomes are discussed with respect to, one or more theoretical frameworks covered in the course. Enforced Prerequisite at Enrollment: IST 301 or ETI 301
A study of advanced topics in database management systems that are fundamental to effective administration of modern enterprise information systems. The objective of the course is to enable a student to comprehend a range of issues in modern database management and administration. The students will learn advanced SQL, database system development lifecycle topic that include: database planning, requirements and design, database selection and application design, prototyping, implementation, testing operational and maintenance; database performance tuning concepts, monitoring the system for improved performance, and DBMS performance tuning; database transaction management covering transactions and the ACID properties, concurrency control techniques, and database recovery management; query processing and optimization techniques via query decomposition and optimization options; introduction to distributed processing and distributed database concepts, components and characteristics of DDBMS, and distributed database design; web connectivity technologies and XML; introduction to Business intelligence and data warehouses; introduction to Big data, NOSQL and cloud databases; and database security and database administration. Enforced Prerequisite at Enrollment: ETI 300W
/Maximum of 18 Creative projects, including research and design, that are supervised on an individual basis and that fall outside the scope of formal courses.
