Pennsylvania State University-Penn State Berks · 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 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 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.
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 design choices to others. In addition, understanding the development life cycle and workflow needed to create web-based solutions and how they overlap with elastic operations will also be explored. Students will work in teams not only to better understand group collaboration, but to appreciate differences in backgrounds and biases as they relate to solutions development.
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.
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 be taught how to identify and address the change management and political issues associated with project management.
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.
ETI 420Fundamentals of Systems and Enterprise Integration3
Introductory course on integration of information technology into different venues, including the planning, development, and implementation of the integration. ETI 420 Fundamentals of Systems and Enterprise Integration (3) ETI 420 focuses on introducing the student to the role of information systems and technologies in achieving a variety of system goals. Emphasis will be placed on the theories and skills required for planning, developing, implementing, and managing the integration of information technology and different systems. ETI 420 is required of all Information Sciences and Technology (IST) undergraduates who have chosen the Information Technology Integration Option in their baccalaureate degree. It is the prerequisite for ETI 421 which is also required for the Option. Upon completion of the course, the student will be able to recognize information technology integration. They will also understand the 'business processes and information value chain' within a system, and be able to foster an understanding of the role of IT in system integration. Students will be periodically assessed through examinations, case studies, individual and group assignments and projects, and other performance indicators where appropriate.
ETI 421Advanced Enterprise Integration: Technologies and Applications3
Advanced course on the integration of information technology into systems applications. ETI 421 Advanced Enterprise Integration: Technology and Applications (3) ETI 421 expands the knowledge gained in ETI 420 on the theories and skills required for planning, developing, implementing, and managing information systems. ETI 421 is required of all Information Sciences and Technology (IST) undergraduates who have chosen the Information Technology: Integration and Application Option in their Baccalaureate degree. Upon completion of the course, the student will have expanded knowledge of information technology and systems integration issues across multiple application settings. They will also have a deeper understanding of the specific information technology (both hardware and software) that can serve as the foundation for designing systems within an organization, and have experience that fosters an understanding of the role of IT achieving system performance goals.
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.
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.
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 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.
Analytics and big data, enabling analytics through information technology, ROI in analytics, leveraging proprietary data for analytical advantage, analytics on the web, analytics of online engagement, applying analytics at production scale, predictive analytics in the cloud, analytical technology and the business user, using analytics for improved organization performance, organizing analysts, engaging analytical talent, analytics governance, and building a global analytical capability, and analytics case studies in healthcare, manufacturing, HR, financial services, etc.
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.
Today, most enterprise databases are no longer a centralized data store that is accessed by thousands of users from multiple locations which may be globally situated. These databases are typically web-based and distributed across multiple sites for availability, low latency and better reliability. This course exclusively focuses on the design and system issues related to such distributed database systems. An initial review of relational DBMS is required in the first week of the course. Students will learn the architectural options and design issues and choices for DDBMSs. Design considerations include fragmentation alternatives (vertical or horizontal), fragment allocation and the data directory. Database integration covers at schema matching, integration, and mapping. Data cleaning is also studied under database integration. Processing distributed queries is challenging, and this topic is studied next by first trying to understand the query processing problem followed by: the objectives for query processing, characterization of query processors and layers of query processing. Query decomposition and localization of distributed data is then studied. The next issue is the problem of optimizing distributed queries using various techniques such as centralized query optimization, join ordering in distributed queries and distributed query optimization using dynamic, static. Semi-join and hybrid approaches. The ACID properties of transactions are studied and different types of transactions, and this is followed by distributed concurrency control using techniques such as locking, timestamps, and optimistic concurrency control algorithms. Deadlock management which is a problem in concurrency control schemes is also studied. Distributed reliability to address failures in DDBMSs is addressed by studying local reliability protocols, distributed reliability protocols, dealing with site failures and network partitioning. Data replication is an important aspect of reliability and various replication update management strategies and replication protocols are studied. Modern databases are web-based and this topic is considered next. Topics studied include: web searches, web querying and distributed XML processing. Many databases have moved to the cloud and cloud data management covers: cloud deployment models, service models SQL data services, and so on.
