13 courses with the subject DAL, 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.
DAL 2012Introduction to Data Analysis DE2
(PQ: BUS2011 or MAT2055) This course provides an introduction to simulation and optimization techniques that are foundational to data analysis and real-world decision making. Topics include time series analysis, linear and non-linear optimization, decision analysis and Monte Carlo simulation. Applications in business, sports, medical and other contexts will be included. University of Northwestern – St. Paul Undergraduate Catalog 2026-2027 cr CYS4245 Cybersecurity: Current Practices and Trends . . . . . . . . . . 4 cr (PQ: CYS2269) This course examines three broad areas related to cybersecurity: tools, trends, and risk. Exploration of tools will include current tools for: Data Loss Prevention (DLP), Proxy/Decrypt, DNS security, Web Application Firewalls (WAF), Threat Intelligence, and Sandboxing. Trends discussion will look at how enterprises are shifting their investment in security tools, from on-premises gear, towards cloud-based solutions including OpenSource, SASE (Secure Access Service Edge), CASB (Cloud Access Security Broker), and SWG (Secure Web Gateway). Exploration of risk will include tools and methods around security program management, audit, and legal issues.
(PQ: MAT2055) This course provides an introduction to the field of data analytics, and the development and use of data warehouses and data marts to support business analytics. The use of key performance indicators, dashboards and scorecards for performance management and opportunity assessment are addressed. Text and web mining are discussed, and the application of selected data mining techniques to business decision making situations is illustrated. . . . . 2 cr . . . . . . . . . . . . . 2 cr . . . . . . . . . . . . . . . 1-2 cr . . . . . . . . . 2 cr . . . . . .
This course uses a popular data visualization system for developing data presentation skills. The material uses primarily dashboards for information monitoring, analyzes and providing a visual display of key performance indicators (KPIs). Topics include web-based data acquisition, text mining, using data dashboards, tracking important data (KPIs) for specific processes, storytelling, and using data to drive decisions.
(PQ: BUS2035 or MAT2055) This course presents methods and systems for modeling varied data and discovering knowledge from data. After detailing a data modeling system architecture and tasks, the course examines and compares specific methods in data modeling, such as data preparation, classification, clustering, and text mining. Several applications are detailed, and tools to build new applications are provided. The task of knowledge discovery is then outlined as a higher-level goal of data modeling. Familiarity with statistics, and database systems, in particular database design, is expected.
This course explores the rapidly evolving field of Artificial Intelligence (AI), its transformative impact on business applications, and its significant ethical and societal challenges. AI is revolutionizing industries by providing predictive insights, enhancing personalized customer experiences, optimizing management processes, and improving risk assessment strategies. Students will explore how AI intersects with social ethics, addressing fundamental questions about human life, values, and purpose.
(PQ: BUS2035 or MAT2055) This course is designed to expose participants to the development and utilization of forecasts. Emphasis . . . . . . . 4 cr on statistical methods (time series, regression, Monte Carlo simulation, etc.) and software applied to quantitative forecasting. Specific applications include forecasting sales, market prices, inventory, and macroeconomic factors.
(PQ: C- or better in MGT2271, CYS3065 or DAL2235; COM1075 or COM1825; and ENG1107) The presence of information systems has changed the manner in which business is conducted and affects the day-to-day activities of a majority of employees in the workplace. The management of those systems requires an understanding of issues . . 2 cr that fall outside the standard realm of management. This course provides the student with an understanding of the key issues related to the management of information systems and those who design and implement them.
(PQ: consent of faculty supervisor, and internship registration form) Supervised work experience in data analytics. Note: This course is designated as repeatable. See page 26 for note regarding internships. . . . . 2 cr DES3069 Design History . . . . . . . . . . . . . . . . . . . . . (PQ: sophomore standing) This course provides a survey of the development of graphic and interface design, with particular attention focused on the relationship of design to other major art and cultural movements of the 19th through 21st centuries. These are viewed in the context of political, technological, scientific and cultural developments that occurred throughout modern history. Architecture, r graphic design, industrial design, interior design, interface design, photography, painting, television, film, urban planning, web design and new technologies all affect each other in fluid and often unpredictable ways. We will observe and compare these relationships with respect to the growth of these disciplines and their roles in society and popular culture. . . . . . . . . 2 cr DES3215 Interactive Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (PQ: DES2235 and DES2236 or concurrently enrolled) A study of the process and principles driving web/app creation with time-based projects focusing on industry standard applications. A $75 course fee required.
(PQ: C or better in BUA5620) This course is designed to equip participants to apply business statistics for the purposes of business intelligence: effectively communicating both technical information and informed recommendations to decision-makers. Emphasis will be placed on investigating, testing, summarizing, and visualizing data. The course will introduce business case studies, data discovery projects, and best practices in presenting technical results. Emphasis will be placed on making interactive dashboards and effective technical presentations.
(PQ: C or better in BUA5620) This course explores current and upcoming trends and rapid changes in data analysis and data science, such as the integration of Analytics and Artificial Intelligence (AI) and the ways analytical algorithms are transforming organizations and society. Students will examine potential disruptive or transformational opportunities in the application of analytics and discover new prospects in an industry, organization, or career field familiar to them. Familiarity with statistics, modeling techniques, and using business data, is recommended.
This course examines Artificial Intelligence (AI) and its transformative impact on modern business strategy, decision-making, and organizational leadership. AI reshapes industries by enhancing data- driven insights, optimizing operational efficiency, and redefining customer interactions. The integration of AI presents complex ethical, regulatory, and societal challenges that demand careful consideration which students will analyze.
DAL 5675Forecasting Economic Principles and Applications4
(PQ: C or better in DAL5625) This course will introduce students to business forecasting and economic data analysis techniques and methods that can aid in business decision making. Students will critically analyze time series data and apply forecasting methods to make estimates on future business metrics. Students will use . . . . 2 cr regression analysis, time series modeling techniques, and statistical concepts to build business intelligent dashboards, documentation, and develop presentation materials for a nontechnical audience.
