University of Virginia's College at Wise · Courses
ISC
10 courses with the subject ISC, 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.
ISC 1010Information Ethics, Law, & Policy3
Credit(s) 3 This course investigates the ethical, legal, and policy foundations of contemporary information technology. Through lectures, readings, discussions, and short assignments, contemporary challenges will be discussed ranging from the contests over intellectual property and privacy in a networked world to questions of inequality and control over technology. The course will review key area of technology law and policy such as computing ethics; intellectual property; competition, antitrust, and freedom of experssion; privacy and security; and AI ethics. Additionally, new ethical questions and controversies that law and policy have yet to establish standards. Through this course students will learn about the key frameworks, processes, and institutions that govern the contemporary world of information technology, along with key theories and methods from academic fields that shape and inform them. You will also learn core reading and analytic skills central to success in the worlds of social science, law, policy, and many other settings. Students will learn to engage critically and strategically within the worlds of information and technology, to decide what kind of information consumer, user, producer, and citizen each student wished to be.
Credit(s) 3 This course will provide students with the background and skills necessary to be successful in a technology-based workforce. Students will be provided opportunities to develop portfolio templates in technical report writing, assessments, schemas, and diagraming within a variety of delivery modalities. Students will be provided the opportunity to analyze sources of information to determine the factual level within the data-decision process. Students will be engaged in the evaluation of research articles, data sites, and websites to examine and synthesize the data from the world domain from which the data exists, and assess the effectiveness of these areas when working in an innovative information technology environment.
Credit(s) 3 Information Science (ISC) represents a collection of technologies, people, and processes that manage the information and communication resources of an organization. Information systems encompass any interactions between organized data and people. This course focuses on technology components and concepts of management information systems, approaches to systems design and development, security, ethics, and internet-worked enterprises; and how to leverage these to support organizational, strategic and operational goals. Additional emphasis on database design and utilization. Cross-listed with MIS 3120 . Prerequisites CSC 1010 with a C or better
Credit(s) 3 This course prepares students to identify, describe, evaluate, and analyze data within the realm of “Big Data” in order to understand the emerging role of analytics in organizations. A focus on how to use data to develop insights and predictive capabilities using machine learning, data mining, and forecasting techniques will be essential concepts. Topics will include probability, statistics, hypothesis testing, regression, clustering, decision trees, and forecasting. Cross-listed with DSC 3500 and MIS 3500 . Prerequisites MTH 2180 or STA 2180 or BIO 2025 or MTH 3250
Credit(s) 3 This course focuses on the design and implementation of database management and warehousing systems. Topics include data models (relational, document, key/value), storage models (n-ary, decomposition), query languages (SQL, stored procedures), storage architectures (heaps, log-structured), indexing (order preserving trees, hash tables), transaction processing (ACID, concurrency control), recovery (logging, checkpoints), query processing (joins, sorting, aggregation, optimization), and parallel architectures (multi-core, distributed). A solid understanding of the terms and fundamentals of data warehousing, along with case studies on open-source, industry database systems, and real-world datasets, will be used to illustrate these techniques. Cross-listed with CSC 4110 . Prerequisites CSC 3400
Credit(s) 3 This course will provide a toolkit to explore data, code, statistics, and visualization. Using open-source data and computational tools in Python and the Jupyter Notebook environment, students will learn how to design testable research questions, collect and perpare data, apply relevant analytical techniques, and present our process and results in an engaging and informative way. Cross-listed with CSC 4150 . Prerequisites CSC 2180 with a C or better and MTH 1180 or MTH 2180
ISC 4240Information Technology Audit and Risk Analysis3
Credit(s) 3 This course investigates the principles of information systems audit, IT audit tools, audit procedures to help in detection and prevention of security breaches and fraud. Examines the solutions that can be used to prevent information loss or costly business interruptions, the role of information technology governance in business organizations, reporting requirements, and industry standards for IT Governance. Cross-listed with MIS 4240 . Prerequisites ISC 3120
Credit(s) 3 The cloud and collaboration solutions course is focused on helping students understand and buidt cloud and collaboration solutions for any organization. The class will operate just like a real organization. The course presents a top-down view of cloud computing, from aplications and administration to programming and infrastructure. Its main focus is on parallel programming techniques for cloud computing and large-scale distributed systems which form the cloud infrastructure. The topics include: overview of cloud computing, cloud systems, parallel processing in the cloud, distributed storage systems, virtualization, security in the cloud, and multicore operating systems. Students will study state-of-the-art solutions for cloud computing developed by Google, Amazon, Microsoft, Yahoo, VMWare, etc. Students will also apply what they learn in one programming assignment and one project executed over Amazon Web Services. Cross-listed with DSC 4350 and MIS 4350 . Prerequisites CSC 2180 OR CSC 2240
Credit(s) 3 This course will introduce a general methodology to design effective visualizations. Students will learn how to design, build, and evaluate visualizations for different types of data, disciplines, and domains. Focus will be on non-spatial data and their inherent visualization requirements. Focus also on industry standards and applied techniques in practical scenarios. No graphics background is assumed or required. Cross-listed with DSC 4500 and MIS 4500 . Prerequisites MTH 2180 OR STA 2180
Credit(s) 1 A senior capstone course in which students select and present projects developed in information system management, to illustrate mastery of knowledge and skills acquired in their major discipline over the course of their studies at UVa-Wise.
